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Integrated Resource Plan
2003
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for ou r customers
. PACIFICORP
PACIFIC POWER UTAH POWER
This Integrated Resource Plan (IRP) is based upon the best available information
at the time the IRP is filed. The Action Plan will be implemented as described
herein, but is subject to change as new information becomes available or as
circumstances change. It is PacifiCorp s intention to revisit and refresh the Action
Plan no less frequently than annually. Any refreshed Action Plan will be
submitted to the State Commissions for their information.
For more information, contact:
Janet Morrison, Director, Resource Planning
PacifiCorp
825 N.E. Multnomah
Portland, Oregon 97232
J anet.M orrison~ acifi Corp. com
This report was printed on recycled paper
TABLE OF CONTENTS
Executive Summary .................................................................................................................................................... 1
Summary .................................................................................................................................................................
The Changing Context For Resource Planning .......................................................................................................
Current Position.......................................................................................................................................................
Risk And Uncertainty ..............................................................................................................................................
Stochastic Risks.................................................................................................................................................
Scenario Risks ...................................................................................................................................................
Paradigm Risks.................................................................................................................................................. 6
Analytical Approach ...............................................................................................................................................
Resource Alternatives..............................................................................................................................................
Portfolios ................................................................................................................................................................. 8
Common Features of Portfolios................................................................ .........................................................
Thermal Portfolios............................................................................................................................................. 9
Alternative Technology Portfolios ....................................................................................................................
Transmission Portfolios.....................................................................................................................................
Results And Conclusions....................................................................................................................................... 10
Action Plan............................................................................................................................................................
1. Marketplace & Fundamentals: The Changing Context OfIntegrated Resource Planning.......................... 13
Planning Under Uncertainty .................................................................................................................................. 13
Planning was Least Cost and Deterministic.....................................................................................................
Planning Must Recognize Risks and Markets
...............................................................................................
Growing Prominence Of The Energy Marketplace ............................................................................................... 14
Federal Regulation Directs Movement to Market ........................................................................................... 14Merchant Generators and Power Marketers .................................................................................................... 14
New Risks for Traditional Utilities.................................................................................................................. 15
Recent Experience In The Western Energy Marketplace...................................................................................... 15
The Electricity Supply Crisis........................................................................................................................... 15
The Natural Gas Shortage.....................................
,..........................................................................................
Meltdown of the California Market.................................................................................................................
Further Blow to PacifiCorp ............................................................................................................................. 16
End of the Crisis.............................................................................................................................................. 16
Boom and Bust ................................................................................................................................................ 17
Retrenchment in Merchant Power ...................................................................................................................
Natural Gas Supply Issues..................................................................................................................................... 18
Price Response in Natural Gas ........................................................................................................................ 18
Declining Productivity..................................................................................................................................... 19
Future Emission Compliance Issues...................................................................................................................... 19
Implications Of Market Development And Fundamental Trends ......................................................................... 20
The New IRP Imperatives ..................................................................................................................................... 21
Conclusion............................................................................................................................................................ 22
2. Current Position .................................................................................................................................................. 23
Overview ...............................................................................................................................................................
Service Territory..............................................................................................................................................
PacifiCorp Retail Load ....................................................................................................................................
Wholesale Load ...............................................................................................................................................
Resources .............................................................................................................................................................. 25
Demand Side Management (DSM) Programs ................................................................................................. 25
Supply Side Resources .................................................................................................................................... 27
Hydro ........................................................................................................................................................
Thermal......................................................................................................................................................
Wind ........................................................................................................................................................
Fuel ........................................................................................................................................................
Wholesale Sales And Purchased Electricity..........................................................................................................
Balancing and Hedging Strategy .....................................................................................................................
Wholesale Sales and Purchases ....................................................................................................................... 30
Transmission .........................................................................................................................................................
Pacificorp Position -The Gap ................................................................................................................................
PacifiCorp West.........................................................................................................................................
PacifiCorp East .......................................................................................................................................... 35
Conclusion.............................................................................................................................................................
3. Risks And Uncertainties ..................................................................................................................................... 37
Introduction ...........................................................................................................................................................
Classification Of Risk ...........................................................................................................................................
Stochastic Risks............................................................................................................................................... 38
Scenario Risks .................................................................................................................................................
Paradigm Risks................................................................................................................................................ 40
Discussion Of Specific Risks ................................................................................................................................ 41
RTO and SMD.................................................................................................................................................
Potential Impact ......................................................................................................................................... 42
Treatment in the IRP Models..................................................................................................................... 42
Comprehensive Air Strategy............................................................................................................................ 42
New Source Review (NSR) .......................................................................................................................
Climate Change..........................................................................................................................................
Multi-pollutant Legislation ........................................................................................................................ 44
Mercury Maximum Achievable Control Technology (MACT)................................................................. 44
Approach....................................................................................................................................................
Potential Impact ......................................................................................................................................... 45
PacifiCorp Approach to Air Quality Standards ......................................................................................... 45
Treatment in the Model..............................................................................................................................
Hydro Generation-Relicensing ........................................................................................................................ 46
Potential Impact .........................................................................................................................................
PacifiCorp s Approach to Hydrogeneration Relicensing........................................................................... 47
Treatment in the IRP Model ......................................................................................................................
Renewable Portfolio Standard (RPS) .............................................................................................................. 47
Potential Impact ......................................................................................................................................... 48
Treatment in the IRP Model ...................................................................................................................... 48
Multi-State Process (MSP) ..............................................................................................................................
PacifiCorp s Approach to MSP ................................................................................................................. 49
Treatment In The IRP Model.....................................................................................................................
Oregon Electricity Restructuring (SBI149) .................................................................................................... 49
PacifiCorp s Approach to SB 1149............................................................................................................ 50
Treatment In The IRP Model.....................................................................................................................
Risk Assessment....................................................................................................................................................
Relative Importance Of Risk Categories ..............:................................................................................................ 51
Customer And Shareholder Risks ......................................................................................................................... 52
Customers vs. Shareholder Risks .................................................................................................................... 53
Shareholder Risks ...................................................................................................................................... 53
Customer Risks ......................................................................................................................................... 54
Customer Risk Tradeoff .................................................................................................................................. 54
Electric Price Risk .....................................................................................................................................
Load Risk...................................................................................................................................................
Fuel Risk....................................................................................................................................................
Plan Cost Effectiveness ................................................................................................................................... 56
Conclusion............................................................................................................................................................ 56
4. Analytical Approach Used In IRP
.....................................................................................................................
Overview ............................................................................................................................................................... 59
Steps In Analysis................................................................................................................................................... 59
Portfolio Development ....................................................................................................................................
ii-
Operational Simulation....................................................................................................................................
Cost Analysis...................................................................................................................................................
Screening .........................................................................................................................................................
Risk Analysis and Stress Testing..................................................................................................................... 63
Optimization......................................................................................................................................................... 64
Portfolio Screening Curve ............................................................................................................................... 64
Theories and Themes.......................................................................................................................................
Operational Signals..........................................................................................................................................
Cost and Risk Analysis....................................................................................................................................
Industry Expertise............................................................................................................................................
Convergence ....................................................................................................................................................
Conclusion.............................................................................................................................................................
5. Resource Alternatives ......................................................................................................................................... 67
Overview ...............................................................................................................................................................
Demand Side Resources........................................................................................................................................
Classes ofDSM ............................................................................................................................................... 68
Class I........................................................................................................................................................ 68
Class 2........................................................................................................................................................
Class 3........................................................................................................................................................ 68
Class 4........................................................................................................................................................
Future Programs ..............................................................................................................................................
Residential .................................................................................................................................................
Nonresidential............................................................................................................................................
Supply Side Resources .......................................................................................................................................... 70
Candidate Supply Side Resources Used in the IRP Analysis ..........................................................................
Utah Coal Options .....................................................................................................................................
Wyoming Coal...........................................................................................................................................
Combined Heat and Power (CHP or cogeneration) ................................................................................... 71
Geothermal................................................................................................................................................. 71
Fuel Cells...................................................................................................................................................
Market Purchases/Contracts.......................................................................................................................
Natural Gas ................................................................................................................................................
Wind ........................................................................................................................................................
Supply Side Resources Not Used in the IRP Analysis .................................................................................... 76
Transmission .........................................................................................................................................................
6. P ortf olios .... .................. ......... .................. ......... ..... .............. ........................... ......... ....... .............. .......... .............. 79
Overview ...............................................................................................................................................................
Common Factors & Metrics ..................................................................................................................................
DSM ...............................
,.............................................................................................................................
Wind Resource Additions................................................................................................................................ 80
Short-Term Purchases......................................................................................................................................
Reserve Peakers............................................................................................................................................... 80
Portfolio Development .......................................................................................................................................... 80
Base Load ........................................................................................................................................................ 80
Peaking ............................................................................................................................................................
Shaped Products .............................................................................................................................................. 81
Transmission....................................................................................................................................................
Portfolio Categories............................................................................................................................................... 81
Portfolio Category: Thermal............................................................................................................................
Gas/Coal .................................................................................................................................................... 81
Coal/Gas .................................................................................................................................................... 82
All Natural Gas .......................................................................................................................................... 82
PacifiCorp Build ........................................................................................................................................ 82
Benefits, Uncertainties and Issues .............................................................................................................
Portfolio Category: Alternative Technology ................................................................................................... 82
- III -
Benefits, Uncertainties and Issues ............................................................................................................. 84
Portfolio Category: Transmission.................................................................................................................... 84
East-West Transmission.............................................................................................................................
Transmission to Asset Markets ..................................................................................................................
Benefits, Uncertainties and Issues ............................................................................................................. 85
Hybrid Portfolios................................................................................................................................................... 85
Renewable ....................................................................................................................................................... 86
The Diversified Portfolios ............................................................................................................................... 86
Hybrid Portfolio Comparison .......................................................................................................................... 86
Summary ............................................................................................................................................................... 89
7. Results
..................................................................................................................................................................
Operational Results ............................................................................................................................................... 91
PVRR ............................................................................................................................................................. 91
Portfolio Scorecard ..........................................................................................................................................
Cost Categories................................................................................................................................................
Fixed vs. Variable Costs ............................................................................................................................
Elements of Variable Costs........................................................................................................................
Other Operational Measures .......................................................................................................................... 101
Capacity Utilization ................................................................................................................................. 101
System Transfers...................................................................................................................................... 101
Operational Results - General Conclusions ................................................................................................... 101
East - West Cost Segmentation..................................................................................................................... 102
Incremental PVRR...................................................................................................................................102
Net Variable Power Cost ......................................................................................................................... 102
Capital Costs ............................................................................................................................................ 102
Risk Analysis....................................................................................................................................................... 103
Risk Measures ............................................................................................................................................... 103
95th Percentile ......................................................................................................................................... 104
5th Percentile .........................................................................................................""""""""""""""""" 1 05
95th - 5th Percentile ................................................................................................................................ 106
Coefficient of Variation ........................................................................................................................... 107
Mean of Tail ............................................................................................................................................ 108
Risk Tradeoff................................................................................................................................................. 109
PVRR vs. 95th Percentile ........................................................................................................................109
PVRR vs. 95th - 5th Percentile ............................................................................................................... 110
Natural Gas Price Sensitivity ......................................................................................................................... 111
East - West Risk............................................................................................................................................ 113
Customer Impact ................................................................................................................................................. 113
Calculation Method ....................................................................................................................................... 114
Discount Rate........................................................................................................................................... 114
Relative Rank........................................................................................................................................... 114
Capital Life - End Effects........................................................................................................................ 116
Revenue Requirement Impacts ...................................................................................................................... 116
IRP Footprint ...........................................................................................................................................116
Impact Calculation ................................................................................................................................... 116
Effect on Rates........................................................................................................................................ 116
Customer Impacts - General Conclusions.....................................................................................................118
Stress Testing ...................................................................................................................................................... 118
I) CO2 Stresses .............................................................................................................................................121
Observations ............................................................................................................................................ 122
CO2 Stresses - General Conclusions ....................................................................................................... 124
2) No Additional Wind Capacity ................................................................................................................... 124
No Additional Wind Capacity - General Conclusions ............................................................................. 125
3) Analysis of Wind Resource Variable Cost Impacts .................................................................................. 126
Production Tax Credit..............................................................................................................................126
- iv-
Green Tags...............................................................................................................................................126
Transmission............................................................................................................................................ 127
System Integration Costs ......................................................................................................................... 128
4) CO2 Allowance Cost................................................................................................................................. 129
5) Application of Wind Capacity to Planning Margin................................................................................... 130
15% Wind Capacity - General Conclusions............................................................................................. 131
6) Early Installation of Wind Resources, FY 2005 ........................................................................................ 132
Early Wind Installation - General Conclusions........................................................................................132
7) Replace Hunter 42012 with IGCC ........................................................................................................... 132
IGCC vs. Hunter 4 - General Conclusions............................................................................................... 133
8) Replace SCCTs with CCCTs .................................................................................................................... 133
Replace SCCTs - General Conclusions....................................................................................................133
9) Timing of Large East Units....................................................................................................................... 134
Timing of Units - General Conclusions ................................................................................................... 134
10) Hydro Licensing Impacts ........................................................................................................................135
Hydro Licensing - General Conclusions..................................................................................................135
11) Loss Of Load - 400 MW In Oregon (SB 1149 Potential Impact) ........................................................... 135
Loss of Load - General Conclusions........................................................................................................ 136
12) DSM Decrement...................................................................................................................................... 137
Modeling Results ....................................................................................................................,................ 137
DSM Decrement General Conclusions .................................................................................................... 138
13) Reducing the Planning Margin................................................................................................................ 138
PVRR ...................................................................................................................................................... 139
Emissions............................................................................................................................................... 139
Unit Capacity Factors .............................................................................................................................. 139
Market Sales and Purchases..................................................................................................................... 139
East West Transfers ................................................................................................................................. 139
Contingency Market Purchases................................................................................................................139
Risk and Planning Reserves..................................................................................................................... 140
Reduced Planning Margin Conclusion..................................................................................................... 142
8. Co n cI u si on s ................ ................. ......................... ............. ............. ................. ....... ................ ............. ............... 143
Overview ............................................................................................................................................................. 143
Portfolio Selection.............................................................................................................................................. 143
Demand-Side Management ................................................................................................................................. 145
Renewables ........................................................................................................................................................ 146
Peaking Units ...................................................................................................................................................... 147
Base Load Units .................................................................................................................................................. 147
Shaped Products And Power Purchase Agreements............................................................................................ 147
Transmission ....................................................................................................................................................... 148
Coal Versus Natural Gas ..................................................................................................................................... 148
Overview ....................................................................................................................................................... 148
Coal Cost Advantage..................................................................................................................................... 148
Environmental Cost Risk............................................................................................................................... 149
Timing of Coal Addition ............................................................................................................................... 149
Coal Versus Natural Gas - Conclusions ........................................................................................................ 149
9. Action Plan
.........................................................................................................................................................
151
The IRP Action Plan ...........................................................................................................................................151
Detailed Action Plan - Findings Of Need And Implementation Actions............................................................ 152
IRP Action Plan Implementation - Decision Processes....................................................................................... 157
IRP Action Plan Implementation - Procurement Program .................................................................................. 160
Current Procurement And Hedging Strategy.......................................................................................................161
Alignment Of Resource Planning And Business Planning.................................................................................. 161
Consistency With Oregon Restructuring............................................................................................................. 162
Appendix A - Electric Utility Background
.........................................................................................................
163
- v-
Federal Activity ................................................................................................................................................... 163
Federal Power Act Of 1935 ...........................................................................................................................163
Holding Company Act of 1935 ..................................................................................................................... 163
PURPA-1978 .............................................................................................................................................. 164
Energy Policy Act Of 1992 ........................................................................................................................... 164
FERC Order 888 - 1996................................................................................................................................165
FERC Order 2000 - 1999 .............................................................................................................................. 165
FERC SMD NOPR - 2002.............................................................................................................................166
Brief Review Of National Activity Regarding Retail Deregulation.................................................................... 167
California Experience .................................................................................................................................... 167
Other State Activity.......................................................................................................................................168
Overview Of Western Electricity Markets .......................................................................................................... 168
The Western Interconnect.............................................................................................................................. 168
Electric Transmission in WECC.................................................................................................................... 169The Load/Resource Balance In WECC ......................................................................................................... 170
Natural Gas Overview In WECC ..................................................................................................................171
Coal Overview for WECC............................................................................................................................. 172
Overview Of The Pacific Northwest Area Of The WECC.................................................................................. 173
The Bonneville Power Administration ..........................................................................................................173
The Northwest Power Act of 1980 ................................................................................................................ 173
Endangered Species Act Effect on Electricity Supply................................................................................... 174
Direct Access Initiatives In States Where Pacificorp Serves ...................................'........................................... 174
Oregon ........................................................................................................................................................... 174
Appendix B - Public Input Process ....................................................................................................................... 175
Public Input Participants................................................................................................................................ 175
Public Input Meetings.................................................................................................................................... 176
December 13 , 2001 .................................................................................................................................. 176
February 5, 2002 ...................................................................................................................................... 176
March 22, 2002 ........................................................................................................................................ 177
May 7, 2002.............................................................................................................................................177
June 18, 2002.............................................................
............................................................................
177
July 30, 2002............................................................................................................................................ 178
September 24, 2002 ................................................................................................................................. 178
November 5, 2002 ................................................................................................................................... 178
December 17, 2002..................................................................................................................................178
February 14, 2003 .................................................................................................................................... 178
Public Technical Workshops ......................................................................................................................... 178
Parking Lot Issues ......................................................................................................................................... 179
Appendix C - Assumptions ....................................................................................................................................181
Contracts .............................................................................................................................................................181
Demand Side Management (DSM) - Existing
..................................................................................................
186
Emission Costs .................................................................................................................................................... 195
SO2 Emission Costs ......................................................................................................................................195
NOx Emission Costs......................................................................................................................................195
Mercury (Hg) Emission Costs ....................................................................................................................... 196
CO2 Emission Costs......................................................................................................................................196
Particulate Matter .......................................................................................................................................... 197
Emission Rates .................................................................................................................................................... 197
SO2 Emission Rates ......................................................................................................................................197
NOx Emission Rates...................................................................................................................................... 197
Mercury Emission Rates................................................................................................................................ 198
Carbon Emission Rates..................................................................................................................................198
Existing Plant Costs ............................................................................................................................................ 198
Fuel Costs............................................................................................................................................................198
Heat Rates For Thermal Plants............................................................................................................................200
- vi-
Hourly Operating Margin....................................................................................................................................203
Hydrogeneration Plant Operating Life ................................................................................................................ 204
Hydrogeneration Relicensing Impacts On Generation........................................................................................ 205
Industrial Customers ........................................................................................................................................... 206
Inflation ...............................................................................................................................................................206
Market Depth And Liquidity ...............................................................................................................................206
Planning Margin.................................................................................................................................................. 206
Renewable Assumptions ..................................................................................................................................... 206
Spot Market Purchases (Limit To 5% Of The Hours In Any Year) ....................................................................207
Study Period ........................................................................................................................................................ 208
Supply Side Resources ........................................................................................................................................209
System Load Forecast .........................................................................................................................................216
System Losses ...............................................................................................................................................217
Thermal Plant Emission Rates ............................................................................................................................ 217
Thermal Plant Forced Outage Rates....................................................................................................................218
Thermal Plant Operating Life.............................................................................................................................. 222
Thermal Plant Variable O&M Costs ...................................................................................................................223
Transmission .......................................................................................................................................................224
Transmission System.....................................................................................................................................224
RTO / Congestion Charges............................................................................................................................224
Wholesale Electricity Market Prices Forecast.....................................................................................................225
Wholesale Market Prices General Assumptions............................................................................................ 227
Wholesale Market Prices Case-Specific Assumptions .................................................................................. 228
Medium Prices CG 16 Cyclic Growth
....................................................................................................
228
Appendix D - Portfolio Summary Tables ............................................................................................................. 233
Appendix E - Analysis Results............................................................................................................................... 277
Appendix F - Portfolio Load And Resource Balances......................................................................................... 299
Appendix G - Demand-Side Management............................................................................................................ 303
Classes OfDSM ..................................................................................................................................................303
Class 1 - Fully Dispatchable Resources......................................................................................................... 303
Class 2 - Non Dispatchable; Growth Neutral ................................................................................................ 303
Class 3 - Non Dispatchable; Buydown.......................................................................................................... 303
Class 4 - Non-Dispatchable; Conservation .Education.................................................................................. 304
Modeling DSM.................................................................................................................................................... 304
Class 1 DSM - Direct Load Control.............................................................................................................. 304
Class 2 DSM - Conservation Measures ........................................................................................................305
Additional Planning Decrements ............................................................................................................. 309
Class 3 DSM - Curtailment............................................................................................................................309
DSM Summary..............................................................................................................................................310
Decrement Procedure To Determine DSM Decrement Values ........................................................................... 310
Decrement Procedure ....................................................................................................................................311
Results ........................................................................................................................................................... 313
Portfolio Assignment ...............................................................................................................................313
New Portfolio Design ....................................................................................................................................314
DI50-10................................................................................................................................................... 314
D300-20 ................................................................................................................................................... 315
D150-40 ................................................................................................................................................... 315
D300-60 ................................................................................................................................................... 316
DI50-, D300-1.......................................................................................................................................317
Decrement Case Comparison...................................................................................................................317
Transmission and Distribution Deferral Benefits ..........................................................................................317
Appendix H - Risk Assessment Methodology ...................................................................................................... 319
Introduction .........................................................................................................................................................319
- vii-
Background ......................................................................................................................................................... 319
Load ........................................................................................................................................................... 319
Natural Gas Price...........................................................................................................................................319
Spot Market Power Prices .............................................................................................................................319
Hydrogeneration ............................................................................................................................................ 319
Generation Forced Outage.............................................................................................................................320
Stochastic Analysis Model And Assumptions.....................................................................................................320
Stochastic Model...........................................................................................................................................320
Two-Factor Lognormal Mean-Reversion Model...........................................................................................321
Stochastic Parameters: Short-Term ............................................................................................................... 322
Stochastic Parameters: Long Term................................................................................................................324
Short-Term Volatility Parameters.................................................................................................................. 325
Short-Term Correlation Parameters...............................................................................................................326
Appendix I - Model Descriptions .......................................................................................................................... 329
Introduction .........................................................................................................................................................329
MIDAS............................................................................................................................................................... 329
Introduction - Wholesale Market Prices in .Genera1...................................................................................... 329
Market Clearing Price Model Used at PacifiCorp - MIDAS Overview........................................................ 329
How the Model Determines Prices .......................................................................................................... 329
PROSYM ............................................................................................................................................................331
Introduction and Overview ............................................................................................................................ 331
General Capabilities of the PROSYM System .............................................................................................. 331
PROSYM Module .........................................................................................................................................331
Convergent Monte Carlo ............................................................................................................................... 331
Hourly Marginal Cost Determination ............................................................................................................332
Transmission-Limited Area Modeling........................................................................................................... 332
Types of Generation Resources Modeled...................................................................................................... 333
Thermal/Time-Dependent Generation ..................................................................................................... 333
Run-of-River and Storage HydrogenerationlFixed Energy......................................................................334
Fixed Energy Transactions ......................................................................................................................334
Pumped Storage PlantslEnergy Exchange Contracts/CABS Units .......................................................... 335
Energy-Limited Generating Units............................................................................................................335
Unit Commitment Logic in PROSYM ..........................................................................................................335
Introduction.............................................................................................................................................. 335
Contract Flow (Transport Logic) and Physical Power Flow (TOPS) ......................................................336
Limited Fuel Module ............................................................................................................................... 337
Emission Module (ECOSYM).................................................................................................................337
Controlling PROSYM Execution ..................................................................................................................337
Appendix J - Methodology ..................................................................................................................................... 339
Introduction .........................................................................................................................................................339
Portfolio Development (Step 1) ..........................................................................................................................340
Portfolio Requirement Criteria ...................................................................................................................... 340
Portfolio Generation and Refinement............................................................................................................341
Model Input Selection (Step 2) ...........................................................................................................................343
System Topology........................................................................................................................................... 343
Market Pricing Forecasts ............................................................................................................................... 344
Resource Operating Cost............................................................................................................................... 344
Resource Reliability ...................................................................................................................................... 345
Transmission and Development Costs........................................................................................................... 345
Scenarios........................................................................................................................................................345
Modeling (Step 3)................................................................................................................................................345
PROSYM ............................................................................................................................................................346
Consolidation Model.....................................................................................................................................346
MarketSym ....................................................................................................................................................347
Customer Impacts.......................................................................................................................................... 347
- viii-
The IRP Customer Impact Calculation: ................................................................................................... 348
Scorecards ..................................................................................................................................................... 348
Portfolio Scorecard ..................................................................................................................................348
Stress Scorecards ..................................................................................................................................... 348
Critical Assumptions ...........................................................................................................................................349
Market Access Assumptions.......................................................................................................................... 349
Transmission............................................................................................................................................ 349
Liquidity ..................................................................................................................................................349
RPS Assumption............................................................................................................................................ 350
DSM Assumption .......................................................................................................................................... 350
5% Build Requirement .................................................................................................................................. 350
Additional Critical Assumptions ................................................................................................................... 351
Integrated Resource Plan Capital Revenue Requirement Methodology.............................................................. 351
Introduction """""
"""""""""""""""""""""""""""""""'"""",.................................................................
351
Nominal Capital Revenue Requirement ........................................................................................................351
Nominal Revenue Requirements Inadequate for Comparison....................................................................... 352
Real Levelized Revenue Requirement........................................................................................................... 354
Comparison to Market Purchases ..................................................................................................................356
Real Levelized Revenue Requirements Calculation......................................................................................356
Summary and Conclusion..............................................................................................................................356
Appendix K - Retail Load Forecasting.................................................................................................................359
Introduction - Methodology ................................................................................................................................ 359
Near Term Methods ............................................................................................................................................359
Residential, Commercial, Public Street and Highway Lighting, and Irrigation Customers........................... 359
Industrial Sales and Other Sales to Public Authorities ..................................................................................360
Long Term Methods..................................................
:.........................................................................................
360
Economic and Demographic Sector .............................................................................................................. 361
Residential Sector.......................................................................................................................................... 361
Commercial Sector ........................................................................................................................................362
Industrial Sector.............................................................................................................................................362
Other Sales.....................................................................................................................................................363
Merging of the Near Term and Long Term Forecasts ................................................................................... 363
Allocating Sales Forecasts by Month ............................................................................................................ 363
System Load Forecasts ..................................................................................................................................363
System Peak Forecasts...................................................................................................................................364
Hourly Load Forecasts................................................................................................................................... 364
Summary of System Load Forecast............................................................................................................... 364
Appendix L - RenewableslWind Integration ....................................................................................................... 365
Background ......................................................................................................................................................... 365
Imbalance Costs .................................................................................................................................................. 366
Incremental Operating Reserve Requirements .................................................................................................... 367
Total Wind Resource Costs................................................................................................................................. 370
Summary ............................................................................................................................................................. 371
Appendix M - Glossary .......................................................................................................................................... 373
Appendix N - Standards And Guidelines .............................................................................................................385
Pacificorp Compliance With lRP Standards And Guidelines ............................................................................. 385
Background....................................................................................................................................................385
General Compliance ...................................................................................................................................... 385
Idaho ...................................................................................................................................................... 386
Oregon .....................................................................................................................................................386Utah ...................................................................................................................................................... 387
Washington .............................................................................................................................................. 389
Wyoming ................................................................................................................................................. 389
- ix-
Appendix 0 - Response To Comments ................................................................................................................. 393
Comments On The Draft Report And Pacificorp s Response ............................................................................. 393
Optimality and Finality.................................................................................................................................. 393
Action Plan Specificity ..................................................................................................................................394
Action Plan Must Follow Analytics............................................................................................................... 394
Procurement and RFPs .................................................................................................................................. 395
Multi-State Process........................................................................................................................................395
. System-wide Planning ................................................................................................................................... 396
Renewable Resources....................................................................................................................................396
Geothermal Resources...................................................................................................................................397
DSM Resources.............................................................................................................................................397
Supply-Side Resources .................................................................................................................................. 399
Solar Resources ............................................................................................................................................. 399
Coal ...........................................................................................................................................................399
Airshed Issues................................................................................................................................................401
Climate Change .............................................................................................................................................402
Transmission..................................................................................................................................................402
Risk Analysis.................................................................................................................................................403
Planning Margin ............................................................................................................................................404
Spot Purchases...............................................................................................................................................404
Load Transfers...............................................................................................................................................405
Load Forecasts...............................................................................................................................................405
Rate Impacts ..................................................................................................................................................405
IRP Standards and Guidelines .......................................................................................................................406
Parties Who Provided Written Comments...........................................................................................................406
Appendix P - Performance On Rampp-6 Action Plan ........................................................................................ 409
Overview .............................................................................................................................................................409
DSM Goals From RAMPP-6 .....................................................................................'"""""""""""""""""""" 409
New Generation................................................................................................................................................... 411
IRP Organization.................................................................................................................................................411
Summer Tiered Rates.......................................................................................................................................... 411
- x-
INDEX OF TABLES
Table 2.1 Approved DSM Programs...........................................................................................................................
Table 2.2 DSM Programs Operating During 2002......................................................................................................
Table 2.3 Existing Generation Facilities .....................................................................................................................
Table 2.4 PacifiCorp Coal Reserves ........................................................................................................................... 29
Table 2.5 PacifiCorp Mid-Columbia Hydro Contracts ............................................................................................... 31
Table 5.1 Energy Trust of Oregon Projected DSM Achievements (MWa) ................................................................ 68
Table 5.2 The planned build up ofRPS over the period 2005 to 2013 ....................................................................... 75
Table 6.1 Alternative Technology I Portfolio Comparison for Build Pattern ............................................................. 83
Table 6.2 Alternative Technology II Portfolio Comparison for Build Pattern...................
....................
...................... 83
Table 6.3 RPS Replacement in Diversified Portfolios ................................................................................................ 86
Table 6.4 Diversified I Portfolio Comparison............................................................................................................. 87
Table 6.5 Diversified II Portfolio Comparison ........................................................................................................... 87
Table 6.6Diversified III Portfolio Comparison ...........................................................................................................
Table 6.7 Diversified IV Portfolio Comparison..........................................................................................................
Table 6.8 Renewable Portfolio Comparison ............................................................................................................... 89
Table 7.1 Hybrid Portfolio Scorecard ......................................................................................................................... 94
Table 7.2 Variable Cost Elements...............................................................................................................................
Table 7.3 East - West Cost Breakdown.................................................................................................................... 103
Table 7.4 Natural Gas Capacity Comparison............................................................................................................ 105
Table 7.5 Coefficient of Variation ............................................................................................................................ 108
Table 7.6 Real Levelized versus Nominal PV versus Constant ................................................................................ 115
Table 7.IRP Annual Increase Calculation Example ............................................................................................... 117
Table 7.8 Summary ofIRP Stress Test ..................................................................................................................... 120
Table 7.9 Diversified I Stress to Renewable Uncertainties.......................................................................................128
Table 7.10 Application of 15% Wind Capacity to Planning Margin ........................................................................131
Table 7.11 Resource Timing ..................................................................................................................................... 134
Table 7.12 Loss of Load Comparison....................................................................................................................... 136
Table 7.13 Decrement Results Summary (nominal $/MWh) For Class 2 DSM Programs ....................................... 137
Table 7.14 Nominal Market Prices ........................................................................................................................... 137
Table 7.15 Decrement Results Summary (nominal $000) For Class 1 DSM Programs ........................................... 138
Table 8.1 Diversified Portfolio I Resource Addition Summary................................................................................ 144
Table 8.2 Planned DSM Over the Period 2004 to 2013............................................................................................ 146
Table 8.4 The planned Wind build up in Diversified Portfolio I .............................................................................. 146
Table 9.IRP Action Plan Findings of Need........................................................................................ .................... 153
Table 9.2 Action Plan Implementation Actions for Diversified Portfolio I.............................................................. 154
Table C.I Contracts Modeled in IRP ........................................................................................................................ 182
Table c.2 Long Term Wholesale Purchase Contracts............................................................................................... 184
Table C.3 Long-Term Wholesale Sales Contracts
..................................................................................................
185
Table C.4 DSM All-State Summary ......................................................................................................................... 186
Table C.5 Idaho DSM Projects ................................................................................................................................. 187
Table c.6 Washington DSM Projects ....................................................................................................................... 189
Table c.7 Wyoming DSM Projects .......................................................................................................................... 191
Table C.8 Utah DSM Projects...................................................................................................................................192
Table C.9 California DSM Projects ..........................................................................................................................194
Table C.l 0 SO2 Emission Costs ............................................................................................................................... 195
Table C.l1 NOx Emission Costs .............................................................................................................................. 196
Table c.12 Annual Average Natural Gas Prices.......................................................................................................198
Table c.13 Annual Average Coal Prices for each of the PacifiCorp owned plants .................................................. 199
Table C.14 Thermal Plant Heat Rates.......................................................................................................................200
Table C.15 Hydrogeneration Plant Life ....................................................................................................................204
Table c.16 Hydrogeneration Relicensing Impacts on Generation............................................................................ 205
Table c.17 Calculation of the Federal Renewable Portfolio Standard (RPS) Model............................................... 207
Table c.18 Potential Supply Side Resources............................................................................................................ 209
Table c.19 Potential Supply Side Resources............................................................................................................213
- xi-
Table C.20 Potential Supply Side Resources ............................................................................................................ 214
Table C.21 System Load Forecast for PacifiCorp Control Areas .............................................................................216
Table c.22 Thermal Plant Emission Rates for PacifiCorp Generation Plants .......................................................... 217
Table C.23 Forced Outage Rates ..............................................................................................................................218
Table c.24 Thermal Plant Retirement Schedule
.....................................................................................................
222
Table C.25 Thermal Plant Variable O&M Costs
....................................................................................................
223
Table c.26 Wholesale Market Prices........................................................................................................................ 226
Table C.27 Spot Market Prices .................................................................................................................................227
Table c.28 CGI6 Emission Rates.............................................................................................................................228
Table C.29 MIDAS Price Model Assumptions.........................................................................................................229
Table c.30 New Resource Option Assumptions for CG16 Base Case ..................................................................... 230
Table C.31 Nominal Capital Escalation....................................................................................................................230
Table c.32 Demand Growth Assumptions ............................................................................................................... 231
Table D.l Portfolio Capacity .................................................................................................................................... 234
Table D.2 Portfolio Capital Cost............................................................................................................................... 260
Table E.l Scorecard Results .....................................................................................................................................278
Table E.2 Top Four ................................................................................................................................................... 282
Table E.3 10% Planning Margin Results ..................................................................................................................283
Table E.4 CO2 $O/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013 ..............................................284
Table E.5 CO2 $2/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013 .............................................. 285
Table E.6 CO2 $25/Ton: Allowance Used Is CY 1990 Actual Beginning In FY 2008............................................ 286
Table E.7 CO2 $40/Ton: Allowance Used Is CY 1990 Actual Beginning In FY 2008............................................287
Table E.8 Stress: Additional Wind Capacity Removed ............................................................................................ 288
Table E.9 Stress: $0 CO2 Tax, No Wind Capacity ................................................................................................... 289
Table E.IO Stress: Wind At 15% Capacity ............................................................................................................... 290
Table E.lI Stress: Wind Install One Year Early.......................................................................................................291
Table E.12 Stress: Peakers to CCCTs and IGCC in 2012......................................................................................... 292
Table E.13 Stress: Timing Variation of Large East Resources................................................................................. 293
Table E.14 Stress: Hydro Loss of Capacity .............................................................................................................. 294
Table E.l5 Stress: SB1149 Loss Of Load...................................................................................... ........................... 295
Table E.16 Stress: Decrement DSM - Diversified I .................................................................................................. 296
Table F.l Load Resource Capacity Report ...............................................................................................................299
Table G.l DSM Resource Stack ...............................................................................................................................308
Table G.2 DSM Summary......................................................................................................................................... 310
Table G.3 Energy Trust of Oregon Projected DSM Achievements (MWa).............................................................. 310
Table G.4 DSM Load Decrement Summary .............................................................................................................311
Table G.5 DSM Program Distribution by Load Center ............................................................................................ 312
Table G.6 Base Resources ........................................................................................................................................313
Table G.7 D150-10 East Resources ..........................................................................................................................314
Table G.8 D300-20 East Resources .......................................................................................................................... 315
Table G.9 D150-40 East Resources .......................................................................................................................... 316
Table G.I0 D300-60 East Resources ........................................................................................................................316
Table G.ll Decrement Case Values .........................................................................................................................318
Table J.I Capital Structure Components...................................................................................................................352
Table 1.2 Real Levelized Capital Revenue Requirement Calculation Example........................................................ 358
Table LI Wind Resource Costs per MWh ............................................................................................................... 371
Table P.I Actual DSM (MWa) Selected for 2001 by Sector and State..................................................................... 410
Table P.2 Actual DSM (MWa) Selected for 2002 by Sector and State..................................................................... 410
- XIl-
INDEX OF FIGURES
Figure 1.1 Electricity Price Volatility ......................................................................................................................... 17
Figure 1.2 Natural Gas Price Volatility....................................................................................................................... 17
Figure 2.1 PacifiCorp Service Area ............................................................................................................................ 24
Figure 2.2 PacifiCorp System Capacity ...................................................................................................................... 33
Figure 2.3 PacifiCorp West Gap Analysis .................................................................................................................. 34
Figure 2.4 PacifiCorp East Gap Analysis.................................................................................................................... 34
Figure 3.1 Risk Diagram.............................................................................................................................................
Figure 3.2 Stochastic and Scenario Risk Illustration .................................................................................................. 40
Figure 3.3 Probability Density .................................................................................................................................... 52
Figure 4.1 Analysis Process ........................................................................................................................................ 60
Figure 4.2 Sample Resource Deployment Curve
......................................................................................................
Figure 5.IRP Price Forecast - Monthly Flat , Average Prices ................................................................................. 72
Figure 5.2 Utah Main Transmission Triangle .............................................................................................................
Figure 7.1 Portfolio PVRR Comparison ..................................................................................................................... 92
Figure 7.2 Real Levelized Fixed Costs .......................................................................................................................
Figure 7.3 Inc. Net Variable Power Costs................................................................................................................... 95
Figure 7.4 Spot Market Sales - West........................................................................................................................... 98
Figure 7.5 Spot Market Sales - East............................................................................................................................
Figure 7.6 Spot Market Purchases - West................................................................................................................. 100
Figure 7.7 Spot Market Purchases - East .................................................................................................................. 100
Figure 7.8 95th Percentile........................................................................................................
,................................
104
Figure 7.9 5th Percentile ........................................................................................................................................... 105
Figure 7.10 95th - 5th Percentile .............................................................................................................................. 107
Figure 7.11 Mean of Tail........................................................................... ............................................................... 108
Figure 7.12 PVRR vs. 95th Percentile ...................................................................................................................... 110
Figure 7.13 PVRR vs. 95th - 5th Percentile ............................................................................................................. 111
Figure 7.14 Div I High Loads and Natural gas .........................................................................................................112
Figure 7.15 Div IV High Loads and Natural Gas......................................................................................................112
Figure 7.16 Div I Low Loads and Natural Gas ......................................................................................................... 112
Figure 7.17 Div IV Low Loads and Natural Gas
....................................................................................................
112
Figure 7.18 IRP Annual Increase as a Percent ofCY 2001 Retail Rates.................................................................. 118
Figure 7.19 PVRR vs. Carbon Allowance Cost Scenarios........................................................................................ 123
Figure 7.20 CO2 Emissions vs. Carbon Allowance Cost Scenarios .........................................................................124
Figure 7.21 PVRR With and Without Wind ............................................................................................................. 125
Figure 7.22 Diversified I Wind Stresses ................................................................................................................... 129
Figure 7.23 Combined Carbon and Wind Stress....................................................................................................... 130
Figure 7.24 Planning Margin Comparison................................................................................................................ 140
Figure 7.25 Differences Between Planning Margins By Category ........................................................................... 141
Figure 8.IRP Capacity Requirement Breakdown -Rounded to the Nearest 100 MWs.......................................... 145
Figure 9.1 Decision Process chart for Portfolio Resource Analysis.......................................................................... 158
Figure 9.2 Decision Process Chart for Wind (Renewables) Generation Development............................................. 159
Figure 9.3 Decision Process Chart for Base Load Technology Choice .................................................................... 159
Figure A.I Retail Restructuring ................................................................................................................................ 167
Figure A.2 Transmission System Interconnections for the United States and Canada ............................................. 169
Figure A3 Major Transmission lines in WECC ....................................................................................................... 170
Figure A4 WECC Existing and New Generation versus Demand ........................................................................... 171
Figure A5 Major Gas pipelines and Supply Basins ................................................................................................. 172
Figure c.1 Annual Average Natural Gas Prices........................................................................................................199
Figure c.2 IRP Transmission Topology ...................................................................................................................224
Figure G.I Class 2 DSM Program Resource Stack (I) ........"..................................................................................... 306
Figure G.2 Class 2 DSM Program Resource Stack (2) ............................................................................................. 306
Figure G.3 Class 2 DSM Levelized Costs - Actual DSM Program Resource Stack................................................. 307
Figure G.4 DSM Class 2 Hourly Load Decrement ................................................................................................... 309
Figure 1.1 IRP Development Process........................................................................................................................ 339
- xiii-
Figure 1.2 IRP Topology ........................................................................................................................................... 344
Figure J.3 Capital Revenue Requirements ................................................................................................................ 352
Figure J.4 200 Year Nominal Comparison................................................................................................................ 353
Figure 1.545 Year Cumulative PVRR - Nominal.....................................................................................................354
Figure J.6 200 Year Real Levelized Comparison...................................................................................................... 355
Figure J.7 45 Year Cumulative PVRR - Real Levelized .......................................................................................... 355
Figure L.l Wind Imbalance Costs ............................................................................................................................367
Figure L.2 Wind Incremental Reserve Requirement.................................................................................................368
- xiv-
Executive Summary
2002 INTEGRA TED RESOURCE PLAN
EXECUTIVE SUMMARY
SUMMARY
The purpose of PacifiCorp s Integrated Resource Plan (IRP) is to provide a framework for the
prudent future actions required ensuring PacifiCorp continues to provide reliable and least cost
electric service to its customers. The IRP was developed with considerable public involvement
from customer interest groups, regulatory staff, regulators and other stakeholders. PacifiCorp is
filing this IRP with its State regulatory agencies and requesting that they acknowledge and
support its conclusions, including the proposed Action Plan.
This IRP is developed against the backdrop of continuing market, regulatory and structural
changes in the electric industry. These changes highlight the importance of understanding the
risks and uncertainties inherent in resource planning. This IRP uses a robust and objective
analytical framework to simulate the integration of new resource alternatives with PacifiCorp
existing generation and transmission assets, and to compare their economic and operational
performance. The methodology also accounts for the uncertain future by testing resource
alternatives against measurable future risks and possible Paradigm shifts in the industry.
The . IRP reveals that . PacifiCorp has substantial new resource needs. Looking forward
PacifiCorp expects its obligations to provide electricity to its customers will continue to grow
while at the same time its existing resources will diminish significantly. Load growth, load
shape growth, asset retirement and contract expirations cause the gap between demand and
supply to grow over time. Measures need to be taken to close the gap, and a number of diverse
actions are proposed. Not taking prompt and focused action to close this gap would expose
PacifiCorp and its customers to unacceptable levels of cost, reliability and market risk.
Other key findings in the IRP include:
The strongest resource strategy relies on a diverse portfolio of options, including strong
components of renew abIes and demand side management, but also natural gas- and coal-fired
generating resources. A resource procurement process to pursue this diversified approach is
described in the Action Plan.
Possible Paradigm shifts in the electric industry driven by Federal regulatory requirements
are significant uncertainties for PacifiCorp and its customers to manage in the next several
years. These issues include (potentially favorable) changes in transmission operations, as
well as the potential increased costs associated with PacifiCorp s existing resource assets
including complying with air emission standards and relicensing hydroelectric facilities.
Renewable resources are a good fit for PacifiCorp within the context of a diversified
portfolio. The IRP proposes procuring renewable resources (primarily wind, and possibly
geothermal) at a level shown to be cost effective, given the assumptions used to evaluate the
resource. The amount of renewables is also a level that would meet or exceed renewable
portfolio standards that have been proposed in Federal and State legislation.
Executive Summary
Demand-side management (DSM) will continue to be an important and cost-effective
program for PacifiCorp. A significant increase in programmatic measures is proposed
including a load control program to help mitigate growing capacity requirements.
In addition to renewable resources and DSM, the study concludes that additional resources
from thermal generation will also be required. The least cost option is a combination of three
natural gas-fired units and one coal unit to meet both growing energy and capacity
requirements.
The least cost portfolio includes a coal baseload thermal unit in the East. Coal-fired
generation may be particularly advantageous when procuring resources in the Rocky
Mountains because coal is an abundant indigenous resource there. However, the long-term
impacts of atmospheric emissions are casting doubt on the viability of coal-fired generation.
The IRP least cost portfolio is dependent upon the impact of a number of these Paradigm
risks, including air emission standards and possible global warming measures. PacifiCorp
believes it has adequately addressed these risks, based on our current understanding of them
and coal plants remain a low-cost option. The IRP Action Plan includes further work to
develop and test the viability of a coal baseload thermal unit, including an ongoing
assessment of the risks.
This IRP proposes a significant procurement of new resources. The strategy outlined in this IRP
includes the addition of about 4 000 MW of new capacity over the first ten years of the 20-year
IRP. The least-cost, risk-adjusted approach proposed is a diverse portfolio of resources
including renewables, DSM, and thermal baseload and peaking units. These additions include
the following portfolio additions during the planning period:
400 MW of renewable resources
450 MWa of DSM and 90 MW of direct load control
100 MW of base load capacity
200 MW of peaking capacity
700 MW shaped resource contracts
The Action Plan details findings of resource need and specific implementation actions. The Plan
also outlines step-by-step decision processes by which proposed resources will be continually
evaluated and procured. Going forward, PacifiCorp will implement the Action Plan, while also
maintaining the flexibility to adjust to future changes and opportunities. The Action Plan will
also be revisited and refreshed no less frequently than annually.
For analytic purposes, the IRP assumes new resources are developed and owned by PacifiCorp.
However, no decision has been made to invest in specific resources. The decision to own, build
and invest in a new resource versus contracting with a third party will be made as part of the
procurement process for each new resource addition, and on a case-by-case basis. A Multi-State
Process (MSP) will provide clarity on the regulatory treatment of investment decisions and the
degree of cost recovery risk held by PacifiCorp. The MSP is expected to issue findings in the
spring, 2003. The MSP outcome will influence the activities and operations of PacifiCorp, and
may impact Action Plan implementation.
- 2-
Executive Summary
A significant procurement program and potential investment is required to maintain reliable
electric service. It is critically important that State regulators support this IRP and issue their
acknowledgement of the Action Plan. This support coupled with a useful and durable MSP
outcome is vital to PacifiCorp being able to resolve issues around recovery lag and achieving
allowed rates of return, and continue to provide low cost, reliable service to its customers.
THE CHANGING CONTEXT FOR RESOURCE PLANNING
The electricity industry continues to evolve due to regulatory changes and market forces. The
volatility and uncertainty in the industry has increased in a number of areas. Through overt
public policy and an emerging industry structure, the wholesale competitive marketplace has
evolved. Market price uncertainty remains a concern, as was highlighted by the dramatic
volatility in West-wide electricity prices during the 2000-2001 period. Federal regulatory
changes are likely to be significant, particularly with regard to how transmission will be
controlled and operated in the future. Nation-wide, natural gas-fired generation has emerged as
the industry's thermal resource of choice, and this growth in the reliance on natural gas increases
supply and price uncertainty. Throughout this evolution PacifiCorp s obligation to serve remains
inviolate.
These ongoing changes in the structure and regulation of the industry require changes in the
approach to resource planning. Given the potential for commodity markets (both natural gas and
electric) to exhibit rapid price swings, or volatility, alternative resource plans must be evaluated
in terms of their exposure to this volatility, in addition to their long-run average costs.
Furthermore, unpredictability in the future costs of new supply alternatives arising from fuel cost
(primarily natural gas price) and emissions cost uncertainties must be recognized. Finally, the
rapidly evolving structure of markets and their attendant risks demand a more timely and
responsive process for keeping IRPs current. This IRP represents PacifiCorp s efforts to adapt
its resource planning to these requirements. The IRP provides analysis leading to a
comprehensive portfolio and strategy for supply acquisitions, transmission investments and
demand-side management that balance low cost with risk to result in the long-run least cost
solution.
CURRENT POSITION
PacifiCorp serves approximately 1.5 million retail customers in service territories comprising
about 135 000 square miles in portions of six Western states: Utah, Oregon, Wyoming,
Washington, Idaho, and California. The service territory has diverse regional economies ranging
from rural, agricultural, and mining areas to urban, manufacturing, and government service
centers.
PacifiCorp forecasts load on its system to grow by 2.2% in the East and 2.0% in the West per
year, on average. Given uncertainties of economic growth and other factors, this growth in
PacifiCorp s load could vary between 1.4% and 3.4%. At the same time, the resources available
to PacifiCorp to serve this demand will diminish over time as supply contracts expire
hydroelectric generation facilities are subjected to relicensing conditions and thermal plants
- 3 -
Executive Summary
comply with more stringent emissions requirements. This creates an imbalance that is referred to
as the gap. This gap between loads and existing resources will grow through time.
The load forecast and the existing PacifiCorp resources define the shortfall in supplies. The
figure below is an illustration of PacifiCorp s peak system requirement with a 15% planning
margin compared to the capacity of the existing resources as they are expected to exist in the
future. Use of this assumption does not presume 15% is the ideal level for reliability purposes.
More or less planning margin could be warranted. Rather, the assumption is consistent with the
ranges discussed under the FERC Standard Market Design (SMD) proposal, and reinforced by
the public input process.
PacifiCorp System Capacity
12,000 Peak System Requirement + 15% Planning Margin
10,000
000
Resource Deficit
i 6,000
Nameplate Capacity of Existing Resources
000
000
2004
DPk Rqmt + 15% 10 090
dExisting Capacity 8 833
2014
11,936
820
While the exact size of this gap is uncertain, PacifiCorp expects it will require an additional
000 MW of new resources (DSM, generation, and supply contracts) through 2013.
Understanding the size and timing of the gap, as well as the seasonal and hourly shape of
existing loads and resources, is a fundamental driver with this IRP. It drives the overall need for
new resources, the appropriate balance between baseload and peaking requirements, the
transmission needs and demand side management decisions.
RISK AND UNCERTAINTY
Clearly, resource planning must consider many future risks and uncertainties. While the need for
planning under uncertainties has been clear for some time, general techniques for effectively
Executive Summary
incorporating risk analysis into utility resource plans have been more elusive. PacifiCorp has
adopted a new methodology to evaluate how alternative resource options perform against the
risks and uncertainties in three categories: Stochastic, Scenario and Paradigm risks. The figure
below provides an illustrative example of these risks (the acronyms are defined below).
Risk
------.
Stochastic Risks
Many risks facing PacifiCorp are quantifiable business risks and are referred to as Stochastic
risks. The expected variability in Stochastic risk parameters, such as in electricity price, for
example, can be derived from historical experience and simulated. The resource planning
analysis assumes that these stochastic risks are driven by uncertainty in the following parameters
(risk factors):
Retail load forecasts
Natural gas prices
Spot market electricity prices
Hydroelectric generation
Thermal unit availability
Scenario Risks
Other risks that are evaluated quantitatively in this IRP are scenario-driven, such as the
introduction of high carbon taxes. The probability of high carbon taxes cannot be determined
based upon historical experience, so a scenario is created without applying a probability. In the
case of changing Scenario risks, the time evolution of the Present Value of the Revenue
Requirement (PVRR) takes a distinctly different path, rather than fluctuating around an expected
- 5-
Executive Summary
value. The measure of Scenario risk is the difference between the expected PVRR generated by
applying different scenarios.
Scenario risks addressed include:
Charges for prospective CO2 emissions
Effect of relicensing outcomes on future hydroelectric generation cost and availability
The market value of Green Tags, as influenced by the possible passage of Federal and State
renewable portfolio standards
Limits to the availability and liquidity of spot market purchases, as an alternative to
procunng resources
Potential for ongoing renewable production tax credits
Paradi2ID Risks
Significant structural changes to the electricity business model associated with a large shift in
market structure or regulatory requirements are treated as Paradigm risks in the IRP. The key
Paradigm risks considered within this IRP include:
Structural changes in operation and control of transmission promulgated by the Federal
Energy Regulatory Commission (FERC) rules including potential formation of a regional
transmission organization (RTO) and the SMD proposal
Federal1egislation that could establish a Renewable Portfolio Standard (RPS)
The outcome of the pending multi-State discussions (MSP) addressing PacifiCorp s method
of regulation and cost recovery
Since the details of such changes are not presently specified, Paradigm risks do not lend
themselves to quantitative analysis. Structural changes to fundamentals generally defy
reasonable approaches at numerical representation. While not explicitly modeled, Paradigm
risks cannot be ignored. Accordingly, Paradigm risks are addressed qualitatively. In some
instances, assumptions are explicitly modeled to impute additional flexibility. Despite these
efforts, Paradigm risks, as they arise, ultimately require a well reasoned response arrived at in
conjunction between PacifiCorp, its regulators and the public. The flexibility to respond to
changes in the Paradigm environment is an element of the Action Plan.
ANALYTICAL APPROACH
This IRP uses a robust analytical framework to simulate the integration of new resource
alternatives with PacifiCorp s existing generation and transmission assets. The model includes
hourly data granularity and consideration of market trading hubs, and transmission paths and
constraints, to provide a detailed examination of the economic and operational performance of
resource alternatives.
The starting point for the analysis is the determination of the gap between growing loads and
existing resources, discussed above. From this starting point, the analysis involves a number of
distinct steps:
- 6-
Executive Summary
Portfolio DeveJopment: The first step is the formulation of resource portfolios. Formulating
the portfolios requires specifying the types and timing of resource additions such that
anticipated loads are reliably served. Portfolios were chosen to span a complete range of
likely resource strategies.
Operational Simulation: Next, the operation of each portfolio is simulated. The simulation
develops a base or reference view of the future. In so doing, this step requires calculating the
operating costs of the integrated system (both the portfolio additions and the existing
resource system) and other performance characteristics under a representative set of
assumptions about the future.
Cost AnaJysis: Each portfolio s system operating costs are combined with the corresponding
capital costs, yielding the PVRR, the main cost metric.
Screening: Performance measures (PVRR and others) are used to screen the portfolios.
Focusing only on portfolios that survive this winnowing allows risk analysis to be performed
on the most promising portfolios.
Risk Analysis & Stress Testing: The risk analysis simulates the performance of a portfolio
under a large number of possible futures. The risk analysis also allows conclusions to be
drawn regarding each portfolio s sensitivities to assumptions about the future and
assessments to be made regarding the variability in a portfolio s cost.
Portfolio Refinement: Based on these results, iterative improvements to the best performing
portfolios are made, defining hybrid portfolios that are tested against each other to identify
the least cost, risk-adjusted portfolio.
Four key assumptions were particularly important to the analytical approach:
Where possible, the analytical approach presumed new resources were actual specific assets.
This allowed precise modeling of different site, technology and transmission costs. In
practice, as seen in the Action Plan, new development will be rigorously compared to
alternative purchase options and "then-appropriate" asset definitions that include current
technology, specific siting and tailored asset capacity. Such a program assures new resources
are ultimately obtained from the least cost provider.
The analysis conservatively assumed no renewal of long term contracts. The modeling
approach assumed future resources are obtained at market prices and that the costs of long-
term contracts converge on such prices. From an economic and modeling standpoint further
distinctions are unnecessary.
Since PacifiCorp has a well-defined obligation to serve load, only firm transmission was
included to ensure that it was always available to provide service. This is another
conservative assumption matching PacifiCorp s load serving obligations.
All portfolios were built to closely match load growth, plus a 15% planning margin. While
the model assumed system sales occur for balancing purposes, new resources were not added
for merchant purposes.
Modeling was performed on a system basis. Although the transfers between the East and West
systems were measured and reported, State specific impacts were not assessed. It is expected
that these issues will be addressed in detail following the conclusion of the MSP discussions.
- 7-
Executive Summary
RESOURCE AL TERNA TIVES
There are a large number of demand side and supply side options that could be used in filling the
gap between PacifiCorp s known resources and prospective load obligations. The IRP focuses on
the candidate options that are considered realistic, feasible alternatives for balancing resource
supply with electricity demand. Key resources that may be economical and could feasibly be
procured by PacifiCorp to meet customer needs include:
Demand side management programs
Transmission alternatives
New generation investment or purchase based on energy sources such as:
Wind
Coal
Geothermal
Combined heat and power (i., cogeneration)
Fuel cells
Natural gas (peaking and combined cycle units)
Repowering or expanding existing PacifiCorp resources
Market purchases and shaped products
Transmission
Other resource technologies exist, but were not considered feasible for meeting PacifiCorp
resource needs. These include nuclear resources, tidal action resources, micro-turbines, and
others that are either not commercially available or have not yet proven to be cost effective.
However, three options that are currently not being included in IRP portfolio analysis due to
cost, but are being monitored closely for future use, include "clean" coal technology (IGCC),
pumped storage and solar resource options.
PORTFOLIOS
To explore a broad range of possible resource mixes, portfolios were initially developed in three
different categories: thermal, alternative technology and transmission. The different categories
were compared to learn operational differences based on resource type under varying
assumptions. Based on this analysis, several hybrid portfolios were developed by taking the best
of all portfolios and combining them to achieve the least-cost solution.
Common Features of Portfolios
Several resource additions are common to all portfolios and contribute substantially to future
resource requirements. All portfolios share base DSM investments, beginning in 2004 and
steadily increasing their contributions. The portfolios also all include a base level of renewables
resources. Initially, these were wind additions based on the level required in the proposed
Federal RPS. However, in the final portfolios, the analytical approach to renewables was
refined, and renewables were included based solely on the economic merits. All portfolios also
include purchases to meet capacity and energy needs for the 2004-2006 period (the period in
which long-term procurement options are limited).
- 8-
Executive Summary
Thermal Portfolios
The portfolios in the thermal category contain a mix of coal and natural gas additions. There
were four subcategories of thermal portfolios: Diversified Gas/Coal, Diversified Coal/Gas, All
Gas, and PacifiCorp Build. Each subcategory contains individual portfolios that were used to
test the timing and size of resource additions.
The thermal options have good prospects for siting and licensing generation, since PacifiCorp
currently controls existing thermal generation sites with room for expansion. Another benefit to
the thermal portfolios is that PacifiCorp can make use of existing transmission corridors.
Finally, PacifiCorp currently has experience with building, owning and operating thermal
facilities. Key uncertainties associated with thermal portfolios are the impact of future
environmental legislation, future natural gas price volatility, and regulatory cost recovery.
Alternative Technolo2V Portfolios
The purpose of the Alternative Technology portfolios was to continue to test the strategy that
replaced thermal plants with a more aggressive resource program focused on conservation and
alternative technologies. This was accomplished by adding additional wind plants, over and
above the anticipated Federal RPS, as well as geothermal plants , fuel cells, combined heat and
power (CCHP) and additional DSM. Natural gas-fired plants (CCCTs and Peakers) were used to
fill the energy balance and build the portfolio to the required 15% planning margin.
Alternative technology portfolios perform particularly well in reducing emissions and providing
diversification in PacifiCorp s overall resource portfolio, which helps mitigate fuel price risks.
There are significant uncertainties with an aggressive renewables portfolio. The uncertaintiesidentified inClude:
Fuel cells are not a proven technology that has been widely dispersed in the utility industry
The size and timing of the resource addition requirement that is daunting particularly with
respect to amounts of required capital component and suitable sites.
Quality and location of potential wind sites, and associated transmission which have not been
identified.
Integration costs associated with the wind plants need additional study, including regulating
margin uncertainty, balancing charges for natural gas supply, and changes in integration costs
as a function of amount of wind capacity installed.
Assumptions surrounding the Green Tags and Production Tax Credits, which also represent
uncertainty.
Specific incremental DSM programs have not been identified or modeled in these portfolios
Transmission Portfolios
Portfolios in this category increase system transmission capability to markets and between
PacifiCorp control areas and load centers. There are two subcategories of transmission
portfolios: East-West Transmission and Transmission to Asset Markets. For East-West
transmission, a DC line was constructed from the Wasatch front to Malin, Oregon to allow better
flexibility to transfer electricity from the East and West control areas. For Transmission to Asset
- 9-
Executive Summary
Markets, transmission access to markets is increased with assets built by other parties, and
concentrates on building lines to southern Nevada.
Constructing a DC line that connects the East and West control areas potentially allowed for
greater system flexibility and greater utilization of existing resources, and could reduce the
necessary planning margin. Increased transmission access to markets would allow PacifiCorp
access to markets, and reduce the capital requirement necessary to construct new plants. Major
uncertainties associated with the transmission portfolios included the impact of RTO West as
well as siting and permitting difficulties. Transmission should be looked at on a WECC-wide
basis in order to capture further potential system wide benefits.
Hybrid Portfolios
After the initial portfolios were developed, analyzed and screened, hybrid portfolios were
structured using the best characteristics of the results. Five hybrid portfolios were created -
Renewable, Diversified I, Diversified Diversified III and Diversified IV. The Renewable
portfolio was created by removing the fuel cells, CHP, and DSM from the Alternative
Technology II portfolio, and adding a CCCT at Mona in 2009. The diversified portfolios were
developed using the top four thermal portfolios in each sub-category (Gas/Coal, Coal/Gas, All
Gas, and PacifiCorp Build), and with the gradual, profiled wind used in the Renewable and
Alternative Technology II portfolios.
RESUL TS AND CONCLUSIONS
The portfolios were studied and compared for their operating and economic performance, in
combination with PacifiCorp s current resources and the operational features and constraints of
the electric system. This analysis yielded a large body of results. The operational results were
further tested for their robustness to risks and stress tested against potential outcomes of
important Scenario and Paradigm risks. The portfolios were also compared from a customer
impact perspective. This analysis helped to identify the context and meaning of the portfolio
studies and how they compared to each other. Through this extensive and iterative process, the
least cost portfolio was identified and confirmed to perform well against risks and uncertainties.
The conclusion reached through this analysis is that Diversified Portfolio I is the least-cost, least-
risk portfolio to fill PacifiCorp s long-term resource needs. In support of this conclusion are a
number of findings.
Diversified Portfolio I produces the lowest PVRR and lowest risk profile of the portfolios
studied.
In relative terms, the portfolios are close in PVRR. The five hybrid portfolios ranged from
2% to 3.6% above the PVRR of Diversified I. Given the time period of the study and the
large number of inputs considered, these differences could arguably be described as
statistically insignificant.
Portfolios with higher fixed costs tend to yield even greater reductions in variable cost
requirements. The Diversified I portfolio has the greatest real levelized fixed cost and the
least incremental net variable cost ofthe top portfolios.
10 -
Executive Summary
Exposure to natural gas prices appears to be a leading contributor to the risk differences in
the portfolios. The Diversified I portfolio featuring the addition of a coal plant with the
earliest installation schedule has the least natural gas exposure.
The evolution of Paradigm and Scenario risk factors could change resource decisions and
warrants a plan with flexibility.
The actions related to procuring the resources identified in Diversified Portfolio I are the basis
for the Action Plan.
ACTION PLAN
The Action Plan aims to ensure PacifiCorp will continue meeting its obligation to serve
customers at a low cost with manageable and reasonable risk. At the same time, the Plan
remains adaptable to changing course, as uncertainties evolve or are resolved, or if a Paradigm
shift occurs. An element of the Action Plan is to preserve PacifiCorp s optionality and flexibilityin the future.
The Action Plan is based upon the best information available at the time the IRP is filed. It will
be implemented as described, but is subject to change, as new information becomes available or
as circumstances change. It is PacifiCorp s intention to revisit and refresh the Action Plan no
less frequently than annually. Any refreshed Action Plan will be submitted to the State
Commissions for their information. The Action Plan will also be revised as a consequence of
subsequent IRPs.
Included in the Action Plan are:
A detailed plan, including specific Findings of Need and Implementation Actions
The Decision Processes for implementing the Action Plan
The Procurement Program for implementing the Action Plan
An update on PacifiCorp s Current Procurement and Hedging Strategy
Description of how PacifiCorp Resource Planning and Business Planning are aligned
Discussion on the Action Plan s consistency with the Oregon s restructuring legislation (SB':
1149)
Key elements in the Action Plan to implement Diversified Portfolio I include:
Demand Side Management (DSM) - 450 MWa to reduce overall system demand and peak
requirements
Renewables - 1 400 MW of primarily wind resources but also potential geothermal resources
Baseload Resources - 2 100 MW to cover load growth, plant retirement and contract
expiration across the PacifiCorp system. This includes three units in the East (one fueled
with coal and two with natural gas) and one natural gas unit in the West. However, PPA'
could replace the need for building assets as a result of the Decision Processes and
Procurement Program for implementing the Plan
11-
Executive Summary
Peaking Resources - 1 200 MW in natural gas-fired units to address the pronounced system
peak
Transmission - upgrades and additions to further optimize the use of the network, provide
greater access to market, and support the addition of new generating assets
Shaped Products and Power Purchase Agreements - 700 MW to resolve immediate energy
requirements prior to physical assets being built and to support optimization of the portfolio.
In implementing the Plan, all resource options will be rigorously compared to alternative
purchase options either from the market or from other existing potential electricity suppliers.
The Action Plan includes Decision Processes and a Procurement Program to assure new supplies
ultimately are obtained from the least cost source. The proposed Procurement Program will also
ensure consistency with anticipated ratemaking requirements, including industry restructuring
implementation in Oregon.
PacifiCorp is seeking acknowledgement of the Action Plan by regulatory Commissions in five
States. How these Commissions will treat a favorable acknowledgement of an IRP Action Plan
in subsequent rate cases may vary. To accommodate potential differences in treatment of an
acknowledgement, the detailed Action Plan provides both specific findings regarding the need
for resources, and details the implementation actions to address the findings of need. The
Findings of Need and Implementation Actions are consistent with each other and support the
implementation of the Diversified Portfolio
This IRP provides the rationale for PacifiCorp s resource procurement going forward. The
Action Plan contemplates a potential substantial financial commitment from PacifiCorp.
Sustainable cost recovery of investment is an outstanding risk that must be addressed prior to
such investments being made. MSP is currently addressing this issue and is expected to issue
findings in spring, 2003. The outcome of the MSP discussion will strongly influence
PacifiCorp s ability to implement this IRP Action Plan.
It is critically important that State regulatory commissions efficiently acknowledge and support
this IRP, including the Action Plan. This support coupled with a useful and durable MSP
outcome will enable PacifiCorp to resolve issues such as recovery lag and achieving allowed
rates of return. PacifiCorp s current and potential shareholders as well as the financial
community must and will take into account the governmental and public response to the IRP
when making capital allocation and investment decisions. Among other things, these decisions
will depend on investors' anticipation of successful, timely and economic recovery of this
investment. A successful MSP outcome along with a Regulatory acknowledgement of this IRP
are both critical in ensuring PacifiCorp can continue to provide reliable and least-cost electric
service to its customers.
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Ch 1 - Marketplace Fundamentals
MARKETPLACE & FUNDAMENTALS: THE CHANGING CONTEXT
OF INTEGRA TED RESOURCE PLANNING
The overriding objective of integrated resource planning, to develop a firm plan for the lowest
cost resources for a utility and its customers, is sensible and enduring, but the practice of
planning must be adaptive to changing circumstances. This chapter provides an overview of
emerging trends and recent developments in PacifiCorp s situation and in the Company
evolving business environment that leads to the conclusion that lowest cost must be balanced
with lowest risk to produce the most economic solution.
PLANNING UNDER UNCERTAINTY
The competitive marketplace in the electric power industry has grown in importance and
introduced new opportunities and risks to PacifiCorp s future supply portfolio. Future natural gas
price uncertainty, in light of this fuel's prominence in new electricity plants, contributes to a
more complex and uncertain future, as does the potential for additional limits or penalties on
emissions from generators. These trends and uncertainties expose PacifiCorp and its customers
to new and significant risks that must be recognized in the preparation of the integrated resource
plan. Although these risks cannot be eliminated, the IRP can help manage them by:
Recommending new resource portfolios
Guiding PacifiCorp to an appropriate margin of resources over demand
Providing flexibility to respond to market changes
Plannine was Least Cost and Deterministic
At its inception and through much of its history, conventional utility resource planning
concerned itself primarily with choices among alternative supply-side resources and demand-side
measures. Those choices were typically compared according to their cost implications
emphasizing lowest system cost under a limited set of future growth assumptions. The
environmental impacts of choices were also quantified, principally as mass of air emissions and
sometimes through imputed externality costs or emission "adders . Typically, utilities developed
non-integrated resource plans as if the utilities were isolated entities. In such analyses, utilities
were assumed to build generation and implement demand-side measures to meet all of their
future needs, while wholesale energy markets were largely relegated to the calculation of short-
run balancing "off-system" sales and purchases, a component of electricity costs.
Plannine Must Recoenize Risks and Markets
This least-cost and deterministic planning was entirely consistent with most utilities' operating
and development practices and reflected the state of the industry through its history. This after-
the-fact treatment of the wholesale marketplace in resource planning is increasingly untenable
for several reasons.
First, through overt public policy and emerging industry structure, the competitive marketplace
has emerged as a primary source of new supply for utilities.
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Ch 1 Marketplace Fundamentals
Second, the current state of policy and market structure still leaves substantial uncertainties in
the marketplace. The 2000-2001 experience in western electricity markets amply demonstrated
issues of supply reliability and extreme price volatility in the marketplace.
Third, gas-fired generation has emerged as the resource of choice for the U.S. electricity
industry. The reliance on natural gas has grown to such an extent that the adequacy of supply
and volatility in price for gas is the major contributor to supply adequacy and price volatility for
electricity. Equally, the growth in electricity generation s demand for natural gas adds to price
uncertainty and volatility for gas markets.
The sections below examine these marketplace issues and experiences. (For a more extensive
discussion of the history of electricity industry regulation and the emerging structure of the
industry, see Appendix A)
GROWING PROMINENCE OF THE ENERGY MARKETPLACE
The electricity industry market environment changed greatly in the last several years. Evolving
federal policy and many state regulatory initiatives are encouraging competitive markets and a
growing independent supply sector. Many states are also experimenting with or instituting retail
competition.
Federal Re2ulation Directs Movement to Market
Over the last 10 years, the Federal Energy Regulatory Commission (FERC) has been the primary
locus of federal policy developments for the electricity industry. The Energy Policy Act of 1992
set federal policy direction to encourage robust competition in wholesale electricity markets.
Following its introduction of service unbundling and competitive forces to natural gas pipeline
regulation, the FERC turned its attention to transmission with its Order 888 implementing open
access. FERC's Order 2000 moved further in the direction of orienting transmission to serving a
competitive electricity market by encouraging regional transmission organizations (RTOs).
Most recently, with its July 2002 notice of proposed rulemaking on a standard market design
(SMD), the FERC underscored its intentions to develop a competitive wholesale market and to
clarify the rules under which markets should operate. With these regulatory initiatives, federal
policy has encouraged new players to participate in wholesale electricity markets. At the same
time the FERC has concluded that, where effective competitive markets operate, wholesale
prices can be set by market forces rather than by traditional cost of service regulation. Similarly,
since 1992 and FERC Order 636, prices for natural gas commodity and bulk natural gas
transmission have been deregulated.
Merchant Generators and Power Marketers
In parallel to these policy and regulatory developments, a new electricity industry segment has
evolved and grown to supply traditional utilities or load-serving entities. These non-utility
1 Energy Information Administration
, "
The Changing Structure ofthe Electric Power Industry 2000: An Update
DOE/EIA-0562(00), October, 2000.
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Ch 1 - Marketplace Fundamentals
suppliers include cogenerators, small electricity producers, independent electricity producers
merchant generators and power marketers. Power marketers and merchant generators, in
particular, have gained prominence in recent years. Power marketers, who buy and sell
electricity as independent intennediaries, grew their u.S. sales from 27 million MWh in 1995 to
700 million MWh in 1999. Merchant generators grew into the role of acquiring, developing
and owning power plants and marketing their output, often on a speculative basis.
Growth of the merchant sector of the electricity industry and increasing public policy emphasis
on a competitive supply sector throughout the 1990s led a number of states to question whether
traditional utilities should continue to build or acquire new resources to meet their customers
needs. Some have suggested that, instead, utilities should procure new resources from a
competitive wholesale market. This philosophy is supported by experience in other restructured
industries where competitive markets encourage both innovation in services and lower long-run
costs. In this spirit, some states encouraged or required utilities to rely on the marketplace, even
going so far, as in the case of California, requiring incumbent utilities to divest generating assets.
In Oregon, the adoption of restructuring legislation and rules requires the revenue requirement
from any new generating resources to be based on market prices rather than the traditional rate-
basing of costs.
New Risks for Traditional Utilities
Load-serving-entities including PacifiCorp are now subject to new risks. What if independent
electricity producers do not build enough supply? For years, utilities in the Pacific Northwest
(PNW) planned their new resource needs around the concept that there should be enough
resource to cover loads even under periods of extreme drought. New merchants may not develop
resources to this level. If not, what happens if a drought then occurs? It is also possible that
independent electricity producers will, at times, over-supply the market driving wholesale
electricity prices below levels that recover investment costs. What if PacifiCorp develops new
resources, only to find their costs higher than purchases from a temporarily depressed market?
Will recovery of these "above market costs" be assured?
The potential for competitive supply markets to deliver innovation and lower costs is still being
tested. However, given the fluid and evolving nature of wholesale markets, they potentially
increase the risk of market price uncertainty and volatility. Recent experience in western
wholesale markets underscores this risk.
RECENT EXPERIENCE IN THE WESTERN ENERGY MARKETPLACE
The Electricity Supply Crisis
The reality of new risks in the competitive marketplace became painfully clear in the WECC
electricity crisis of 2000 and 2001. In the prior decade, little new generation had been installed
in the region, in relation to demand growth. A severe shortage of supply became apparent in May
2000. Later in the year, a rare severe Westwide drought significantly reduced WECC
hydro generation resources. With prices set by the market rather than by regulation based on cost
of supply, wholesale electricity prices rose to unprecedented levels, perhaps in part due to
alleged market manipulation. To compensate for the hydrogeneration energy shortage
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Ch 1 - Marketplace Fundamentals
inefficient gas-fired generation (normally not expected to run) was operated often around the
clock. This occurred at the same time that natural gas markets were experiencing their own
strains.
The Natural Gas Shortaee
Natural gas prices nationwide rose dramatically in 2000, reaching record levels in early 2001
before receding in the summer. This extraordinary run-up was caused by several factors.
Relatively stagnant gas production for several preceding years was masked by a series of mild
winter heating seasons. This imbalance was brought to a head by healthy gas demand growth in
2000. The imbalance led to low levels of gas storage entering into the 2001 heating season.
Storage resources quickly became strained by exceptionally cold weather in November and
December. The time lag between higher gas prices and the increased drilling and production
meant very high prices would endure through and beyond the heating season. Supplies and
prices were strained even further during this time by pipeline constraints into and within
California.
The skyrocketing prices for natural gas plus limited hydro generation forced up spot electricity
prices in all western markets. In addition, many of the inefficient gas-fired generation resources
did not have sufficient emissions credits to cover their operation. Further increasing the price of
spot electricity, the shortage of credits caused the price for any available credits to skyrocket.
Meltdown of the California Market
California s market structure also took its toll on electricity markets entering 2001. Since retail
prices for the two largest utilities in the state (Southern California Edison and Pacific Gas and
Electric) were capped while their supply costs were skyrocketing, a severe cash drain occurred.
Competitive suppliers demanded price premiums to compensate for increased credit risk.
addition, the utilities withheld payments to some of their suppliers under direct electricity supply
contracts (such as Qualifying Facilities (QF)) to preserve cash. In the face of extraordinary
natural gas prices and no income, many QFs shut down generation, exacerbating the resource
shortfall.
Further Blow to PacifiCorp
For PacifiCorp, the impact of these events was compounded by an unusual extended forced
outage of its 430 MW Hunter 1 unit beginning on November 24, 2000 in PacifiCorp s eastern
control area. This outage left PacifiCorp in a position of having to purchase electricity from the
market to make up for the lost generation at just the time that market prices were at their highest.
Moreover, PacifiCorp s eastern control area has limited access to major market points in the
western system due to transmission constraints to the south and west. This left PacifiCorp
exposed to markets that were potentially higher cost and more volatile than prevalent elsewhere
in the west due to an absence of depth and liquidity.
End of the Crisis
Electricity prices began to drop rapidly from their unprecedented highs in June 2001. The
dominant factor was a series of orders aimed at mitigating the potential for market power and
reining in runaway prices issued by the FERC, especially the Price Cap order of June 19, 2001.
16 -
Ch J Marketplace Fundamentals
Market fundamentals after June 19th, combined with a decline in the demand for electricity kept
2001 spot prices low as the cap held down forward prices. Demand declined significantly in
2001 compared to the previous year, due to the economic slowdown, substantial conservation
efforts by utilities and their customers, the reaction to higher prices in consumption decisions
and a fortuitously mild summer. Similar factors also helped ease natural gas demand while gas
production rebounded, combining to bring gas prices down dramatically. New generation
resources coming on line in the western system also helped restore reserve margins. As a result
of all of these factors, by the middle of summer 2001 , prices had retreated to levels 10% or less
of what had been expected only months earlier. The extreme natural gas and electricity price
volatilities over this period are illustrated in Figures 1.1 and 1.2.
Figure 1.1 Electricity Price Volatility Figure 1.2 Natural Gas Price Volatility
Electricity Prices from 2000-2001 Spot Natural Gas Pri es from 2000 to 2001
- Henry Hub
...".. Southern California
~MalinOR
1000
900
300
200
~ Mid Columbia
. Palo Verde
800
700
100
$ 25
r 20
M 15BI .
u J
: ~
600
500
400
Jan-OO MaT-DO Jun-OO Sep-OO Dee-DO MaT-OI Jun-Ol Sep-Ol Dee-Jan-OO Apr-OO Jul-OO Sep-OO Dee-DO MaT-OJ Jun-Ol Sep-O! Dee-
Boom and Bust
Another aspect of uncertainty and volatility in electricity markets is portended by recent history
in the WECc. The potential has emerged for a boom and bust cycle in electricity markets due to
the cyclic addition of new generation. Between 1990 and 2000, less than 10 000 MW of new
generating capacity was added to the WECC system. In contrast, more than 15 000 MW have
been added in the 2000-2002 period, and an additional 16 000 MW of capacity are under
construction in the WECc. Moreover, almost 95% of this new capacity is gas-fired. This wave
of capacity additions is rapidly shifting WECC markets from a very tight (low reserve margin) to
an over-supplied (high reserve margin) condition, probably for a number of years.
Two major consequences of this wave of new generation in the WECC are likely. First
electricity prices are expected to be depressed during the impending period of over-supply.
Depressed prices discourage new construction and potentially set up another cycle of under- and
over-supply. Second, gas-fired generation will now be the marginal resource and set spot market
price in most peak hours. This ties WECC electricity prices inextricably to natural gas prices
and their attendant uncertainty and volatility.
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Ch 1 Marketplace Fundamentals
Retrenchment in Merchant Power
Another recent electricity market trend has arisen from the events described above. That trend is
the remarkable retrenchment of the merchant electricity sector in the wake of the construction
boom and wholesale electricity price volatility. As a result of an overhang of debt, credit
problems, and other financial duress, a number of large energy merchants have reduced or
eliminated their energy trading activities. Others have been forced to scale back their generation
project developments, suspend construction, or dispose of assets. Lenders and rating agencies
have recently questioned the entire merchant generation business model. This will reduce the
depth and liquidity of energy commodity markets in the near term. In the long term it could
impede the ability of existing merchant generators to provide additional generating capacity just
as it impedes the entrance of new merchant generators. This decline of merchant generators
underscores the need for capacity commitments from traditional utilities, either through longer-
term forward contracts or their own resource development, and less exposure to volatile, short-
term commodity markets to meet customers' needs.
NATURAL GAS SUPPLY ISSUES
North America is supplied by a large and diverse set of natural gas producers operating in a
number of geographically dispersed producing regions tied together by an extensive pipeline
network. As electricity generation increasingly relies on natural gas as a fuel, two issues deserve
attention. First, declines in production from mature producing regions are forcing producers to
turn to frontier regions for new supplies. This raises the prospect of an upward trend in natural
gas costs. Second, the supply-and-demand dynamics of natural gas portend continued volatility
in gas prices, especially when little spare production capacity is evident on the horizon.
Currently, mature producing areas (onshore and shallow water Gulf of Mexico and the mid-
continent including the Permian Basin) account for about two-thirds of U.S. domestic gas
production. Experience of the last five years demonstrates two factors that suggest growth in
productive capacity from these areas should not be expected. First, drilling rig productivity (first
year production per operating rig) is declining significantly. Second, the loss in annual
deliverability from older wells is accelerating. Production in the Western Canadian sedimentary
basin is beginning to exhibit these same tendencies.
Dynamics within the natural gas industry may cause the number of drilling rigs, production
investment, and prices to become more volatile2. The dynamics that increase the likelihood of
volatile behavior include the responsiveness of supply and demand to changes in gas prices and
the declining productivity of new wells.
Price Response in Natural Gas
In the short run, natural gas supply is fairly inelastic - in other words, the quantity supplied does
not respond quickly to price changes. However, short-run demand is more responsive to changes
in price and weather. The supply and demand dynamics and the ensuing abundance or scarcity
2 For an in-depth discussion of this issue see "Potential for Cyclic Price and Investment Behavior" in Energy
Information Administration Us. Natural Gas Markets: Mid-Term Prosvects for Natural Gas Suvvly.
SRJOIAF/2001-, December 2001.
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Ch 1 Marketplace Fundamentals
of production can lead to extreme fluctuations in short-run prices. Natural gas supply and
demand has historically been more elastic in the long run. Therefore, large price fluctuations
will eventually result in significant changes in consumption, producer cash flows and investment
and drilling activity. Typically, the delay between the onset of a price increase and the
consequent increase in natural gas production is six to eighteen months. The average lag
between a price decrease and the corresponding drop in production is seven months.
Declinin2 Productivity
Declining production from new natural gas wells is an additional factor that impacts long-run
price volatility. Between 1990 and 1999, the amount of time that passed before a well produced
half its life time volume declined by 40%. Declining productivity and the consequent increase in
drilling costs will leave investment and production more responsive to price changes.
Incorporating random events into this potentially volatile market makes extreme fluctuations in
price, investment and production more likely.
One firm, prominent in the analysis of natural gas markets, concludes the following from these
trends:
On the supply side, the North American gas industry essentially can move in two directions. One
would be to accelerate efforts to bring capital-intensive frontier gas resources into the market.
Another would be to push forward the rapid expansion of liquefied natural gas (LNG). In either
case, we envision a period when the North American gas industry will be hard-pressed to adjust
domestic supply in a timely response to volatile shifts of demand. The past year s gas price
spikes to $10 and below $2/MMBtu were no fluke, but instead they reflected this emerging
supply/demand conflict
FUTURE EMISSION COMPLIANCE ISSUES
Over the next decade, PacifiCorp faces a changing environment with regard to electricity plant
emission regulations. The exact nature of these changes remains uncertain. Within the current
federal political environment there exists a contentious debate over establishing a new energy
policy and consequently, revising the Clean Air Act (CAA) to reduce overall emissions.
Currently, the debate focuses on emission standards and compliance measures for sulfur dioxide
(SO2), nitrogen oxides (NOx), mercury (Rg), and carbon dioxide (CO2). Several proposals to
amend the Clean Air Act to limit air pollution emissions from the electric power industry are
being discussed at the national level. A variety of existing and proposed requirements including
multi-pollutant legislation, EPA's Regional Raze Rule, the Western Regional Air Partnership
effort, and the Kyoto Protocol or alternative greenhouse gas emissions restrictions will further
shape PacifiCorp s emission requirements over the coming decade.
Currently, PacifiCorp s generation units must comply with the Clean Air Act Amendments
(CAAA) of 1990, which established standards for SO2, and NOx, and addressed a variety of toxic
gasses. The CAAA also addressed PMIO (particulate matter smaller than 10 microns in size), but
3 PIRA Energy Group, North American Gas Market Outlook private retainer client report, March 19 2002.
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Ch J Marketplace Fundamentals
the standards have since been revised to include PMz.5. Should standards under the current
CAAA remain as is, future compliance costs would be relatively easy to estimate.
However, new federal proposals point to future changes. Specifically, proposed federal multi-
pollutant legislation outlines changes in emission standards and compliance for SOz, and NOx,
and establishes new definitive standards for mercury. The compliance costs associated with these
future scenarios will largely depend on the levels ofrequired reductions, the allowed compliance
mechanisms, and the compliance time trame.
The Bush Administration Clear Skies Act (CSA) is the less stringent of the legislative
proposals, with a cap-and-trade system for SOz, NOx, and mercury and changes to new-source-
review (NSR). CSA standards to reduce emissions would be established in two phases, starting
in 2010 and 2018.
Senate Bill S. 556 (Clean Power Act), introduced by Senator Jeffords (I-VT), is the more
stringent proposed legislation, with lower annual emission caps for SOz and mercury than CSA
and an emission cap for COz. All caps would apply starting in 2008. CPA also utilizes a cap and
trade system for all emissions except mercury.
The Clean Air Planning Act of 2002 introduced by Senators Carper (D-DE), Lincoln Chafee (R-
RI), John Breaux (D-LA), and Max Baucus (D-MT) sets emission caps for SO2, NOx, Hg and
CO2 that are more moderate than the Jeffords s proposal and more stringent than the President'sCSA.
IMPLICATIONS OF MARKET DEVELOPMENT AND FUNDAMENTAL TRENDS
PacifiCorp and its customers are exposed to commodity markets that are likely to exhibit
continued uncertainty and volatility. The uncertainty of future environmental costs and
constraints also weigh heavily on future supply costs. Although the risks from exposure to these
uncertainties cannot be eliminated entirely, prudent choice of new resources and the appropriate
margin of resources in relation to demand can help to manage these risks.
One conclusion from the 2000-2001 market turmoil is that there is a clear asymmetry to market
risks. On the high side, prices can increase rapidly under market shortage conditions, with limits
set only by the perceived damage costs of shortages or by backstop caps set by regulation.
Utilities with insufficient resources (those that are physically short electricity, in the parlance of
commodity traders) are exposed to the risks of these spikes.
On the low price side, when markets have an overabundance of supply, wholesale market prices
can fall not only below long-run replacement costs, but even below the short-run marginal cost
of generation. Under these conditions, utilities or energy merchants who have excess of
resources (have a long position) are exposed to the risk of not recovering their fixed costs in the
market.
While significant, the low-side risk of a long position pales in comparison to the risk of a
chronically short physical position. In general, neither an extremely long nor short position is
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Ch 1 Marketplace Fundamentals
desirable. A balanced position with sufficient planning margin so as to avoid physical short
exposure to markets is prudent. While there is no silver bullet, as a prudently-run utility,
PacifiCorp can manage the risk of commodity market exposure, in large measure, by planning
and acting to maintain an adequate reserve margin. This broad conclusion is consistent with the
FERC's Standard Market Design (SMD) proposal , which suggests that utilities be required to
own or contract forward for resources sufficient to maintain an adequate planning reserve
margIn.
The exposure to fuel prices (for coal and natural gas) and environmental cost risks is no less
complex. New gas-fired generation can help to mitigate future emission cost uncertainties, but
exposes the supply portfolio to gas price volatility. New coal-fired generation avoids the fuel
price volatility of gas but further exposes the supply portfolio to emission cost risks. Both
demand-side management and renewable resources can avoid emission and fuel price exposures
but it is not clear how much of PacifiCorp s future resource requirements can be met from these
sources.
There are no simple answers to these aspects ofPacifiCorp s complex business environment. At
the same time, these trends and uncertainties do provide clear direction to PacifiCorp s integrated
resource planning.
THE NEW IRP IMPERATIVES
Changes in the structure and regulation of the electricity industry require changes in the approach
PacifiCorp takes to integrated resource planning. Given the potential for commodity markets
(both gas and electric) to exhibit rapid price swings (volatility), alternative resource plans must
be evaluated in terms of their exposure to price volatility, in addition to their long-run average
costs. Furthermore, unpredictability in the future costs of new supply alternatives arising from
gas price and emissions cost uncertainties must be recognized. Finally, the rapidly evolving
structure of markets and their attendant risks demand a more timely and responsive process for
keeping resource plans current. This plan represents PacifiCorp s efforts to adapt IRP to these
new requirements.
Fortunately, the emerging electricity industry structure presents opportunities as well as risks.
Over time, a deep and liquid market for electricity and transmission increases the opportunity to
acquire resources with differing terms, structures, and points of delivery. Moreover, new
products will be offered by market participants to hedge or manage risks.
These risks and opportunities place new demands on PacifiCorp s IRP methods and processes.
The analytical approach behind this IRP moves towards addressing those demands.
Improvements incorporated into this IRP include a simulation approach that allows the
performance of resource portfolio alternatives to be compared over a number of possible future
conditions. This methodology provides an examination of both the expected future costs and the
risks of future outcomes. It also allows an examination of the tradeoff between cost and risk
inherent in resource planning choices. This is in contrast to PacifiCorp s recent IRPs, in which a
point-estimate optimization method was used to develop plans tuned to a few specific future
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Ch J Marketplace Fundamentals
cases. This IRP also emphasizes portfolios of resources, since a diverse portfolio is a well-
known means of managing risks.
CONCLUSION
As described in this chapter, the competitive energy market presents PacifiCorp with the
prospect of continued price volatility and risk, and significant uncertainty affecting future
resources. Although the risks from exposure to these uncertainties cannot be eliminated, the IRP
will help to identify and manage these risks through the choice of new resources and by guiding
PacifiCorp to an appropriate margin of resources over demand. This Integrated Resource Plan
provides analysis leading to a comprehensive portfolio and strategy for PacifiCorp supply
acquisition that balances low cost with risk
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Ch. 2 - Current Position
CURRENT POSITION
OVERVIEW
The regulated PacifiCorp is divided into (1) the transmission company and (2) the generation
wholesale and distribution company. Functionally, the PacifiCorp integrated system is made up
of three functional service components or sectors: generation, transmission, and distribution.
The generation sector is the production arm of the business. The transmission sector can be
thought of as the interstate highway system of the business; the large high voltage lines that
deliver electricity from electricity plants to local areas. The distribution sector can be thought of
as the local delivery system; the relatively low voltage electricity lines that bring electricity to
homes and businesses, constituting loads.
PacifiCorp forecasts load on its system to grow by 2.2% in East and 2.0% in West per year, on
average over the next 20 years. Given uncertainties of economic growth and other factors, this
growth in PacifiCorp s load could vary between 1.4% and 3.4% over the forecast period (see
Appendix C for more details.In contrast, PacifiCorp s resources available to serve demand
will likely diminish over time as plants retire, certain contracts expire, hydro facilities are
subjected to relicensing conditions and thermal plants comply with more stringent emissions
requirements. This creates an imbalance that is referred to herein as the "Gap . This Gap
between loads and existing resources grows through time. The Gap is expected to be large and
strategically important.
While the exact size of this Gap is uncertain, PacifiCorp expects it will require approximately
000 MW of new resources (see Chapter 5 for an overview of new resources alternatives)
through 2013. Understanding the size and timing of the Gap, as well as the seasonal and hourly
shape of existing loads and resources, will help PacifiCorp choose the best new resources to fill
this need. Similarly, an understanding of the transmission limitations linking the East and West
control areas, and the resource needs facing the two control areas will help the company
understand how the Gap grows and its relative shape in both areas.
Service Territory
PacifiCorp serves approximately 1.5 million retail customers in service territories aggregating
about 135 000 square miles in portions of six Western states: Utah, Oregon, Wyoming,
Washington, Idaho, and California. The service area s diverse regional economies range from
rural, agricultural, and mining areas to urban, manufacturing, and government service centers.
No one segment of the economy dominates, which helps mitigate exposure to economic swings.
In the Eastern portion of the service area, Wyoming and Eastern Utah, the main industrial
activities are mining: extracting coal, oil, natural gas, uranium, and oil shale. In the Western part
of the service territory, mainly consisting of Oregon and southeastern Washington, the economy
generally revolves around agriculture and manufacturing, with pulp and paper, lumber and wood
products, food processing, high technology, and primary metals being the largest industrial
sectors.
- 23-
Ch. 2 - Current Position
The geographical distribution of PacifiCorp s retail electric customers is Utah, 650 445; Oregon
496 226; Wyoming, 120 676; Washington, 118 363; Idaho, 55 813; and California, 41 891.
Figure 2.1 PacifiCorp Service Area
E!~g'k; $0""'100 Ai'Mi
CoillMinid
~ p~
PIJl"~
H~'dfo Projecli
Wind Plmt
G~?m\'!rm31 PINI1~
PadliCof1l.'-Ownedi
F1rmA1:ad;~ Ri,eht.s
Other tHlll$rrrfisiOI~
PacifiCorp Retail Load
In fiscal year 2002, PacifiCorp sold 47 527 Gigawatt-hours (GWh) of electricity to retail
consumers in its service territory. This included 19 611 GWh of sales to industrial loads, 13 810
GWh of sales to commercial loads , and 13 395 GWh of sales to residential loads. As a result of
the geographically diverse area of operations, PacifiCorp s service territory has historically
experienced complementary seasonal load patterns. In the Western portion, customer demand
peaks in the winter months due to heating requirements. In the Eastern portion, customer
demand peaks in the summer when irrigation and cooling systems are heavily used.
At the current time, no single retail customer accounts for more than 1.4% ofPacifiCorp s retail
utility revenues and the 20 largest retail customers account for 13.8% of total retail electric
revenues.
- 24-
Ch. 2 - Current Position
Wholesale Load
In fiscal year 2002, PacifiCorp sold 24,438 GWh of electricity to wholesale customers in the
WECC. These sales included:
Requirement sales
Long term firm sales (greater than five year)
Short term firm sales
Long term unit contingent sales
. Non-firm sales
PacifiCorp has not included any new wholesale electricity sales in its load forecast. The
regulated arm of PacifiCorp does not intend to build or acquire electricity supplies for the
purpose of making new wholesale electricity sales. However, in the day-to-day operation of its
electricity supplies against its retail load, PacifiCorp will make sales into (and purchases from)
the broader WECC wholesale market as economics dictate.
RESOURCES
Demand Side Manaeement (DSM) Proerams
PacifiCorp has been operating DSM programs for many years. Following is a summary of these
DSM program accomplishments for the last 10 years.
Previous PacifiCorp IRP (RAMPP - Resource & Market Planning Program) annual DSM system
MWa goals acknowledged by the utility commissions have been regularly exceeded.
Table 2.1 Approved DSM Programs
1992
1993 12.15.32.
1994 15.20.34.
1995 29.30.29.
1996 23.24.16.
1997 15.44 17.
1999 12.
1999 14.
2000
2001 16.16.21.9
- 25-
Ch. 2 - Current Position
Table DSM Programs Operating During 2002
DSM Program Name Description I .. Availability
(* programs under
evaluation)
Energy FinAnswer (Schedule 125,Engineering & incentive package for improved energy efficiency in new , WA, or
enhanced with incentives)construction and retrofit projects. Commercial, industrial, and iITigation.
Lighting Retrofit Incentive Incentives for energy-efficient lighting retrofit projects in commercial and , WA, or
(Schedule 116)industrial facilities greater than 20 000 sq. ft.
Small Retrofit Incentive (Schedule Incentives for energy-efficient retrofit projects in commercial and , WA, or
115)industrial facilities less than 20,000 sq. ft.
Energy FinAnswer (engineering Engineering & financing package for improved energy efficiency in new , !D, CA
and loan program; schedules vary construction and retrofit projects. Commercial, industrial and iITigation.
by state)
Appliance Recycling Program An incentive program designed to remove inefficient reITigerators ITom the !D", Or", WA"
market.
Compact Fluorescent Light Bulb rwo ITee CFLs are offered to residential customers through direct mail rD", WY"
Proeram offer. Provides immediate savings benefits and encourages CFL use.
Enhanced Audit and Residential In-home audit with customer choice of low interest loan or
Weatherization Program 25% rebate to assist in funding of cost effective recommended measures.
Instant savings measures were added to legislatively mandated audit in
mid-2000 in order to "enhance" the offer, improving cost effectiveness of
program, providing for instant savings and increasing participation.
Utah Residential and Small rum-key load control network financed, built, operated and owned by a Ur"
Commercial AIC Load Control third party vendor through a pay-for-perfonnance contract.
Proeram
Low-Income Weatherization rhc Company partners with community action agencies to provide no cost , WA
Program residential weatherization services to income qualifying households.
Do-It-Yourself Home Audit A residential fuel blind do-it-yourself home energy audit. Customers fill , OR, ur, WA
out the fonn and send it in, company generates a report of cost-effective
recommendations and mails to customer.
Do-It-Yourself Web based audit Residential and small commercial web based energy audit. Fill in the Pilot in WA and
audit infonnation and program provides an energy analysis of your home possibly Ur.
or business. Fuel blind audit.
BPA Conservation and Renewable Credits received against our BP A electricity purchases for incremental OR", WA"!D"
Discount Program energy efficiency and renewable investments. Strategy will be created on
how best to leverage these dollars to best benefit the company and the
communities we serve. About $2M annually through 2006.
Energy Efficiency Education -Published booklet featuring residential energy use and efficiency , OR, ur, WA
Bright Ideas Booklet infonnation that is mailed to customers upon request. Available in English
and Spanish.
Low Income Energy Education Provide qualifying customers energy education and do-it-yourself OR - Portland Area only
Services instruction on how to reduce energy costs and minimal direct install
assistance to qualifying senior citizens.
Efficient Air Conditioning Provide customer incentives for Improving the efficiency of air Or", WA"
Program conditioning equipment and/or maintaining or converting air conditioning
equipment to evaporative cooling technologies.
Energy Education to Schools Provide classroom instruction to grade school and intennediate students on , Lower Yakima
energy education.Valley Schools
Low Income Conservation Energy education and conservatIOn measure installation services to a
minimum of 550 households annually over a 3 year period (bcginning FY
2001). Estimated savings per home 1 636 KwH.
Northwest Energy Efficiency A series of conservation programs sponsored by utilities in the region
Alliance (NEEA)designed to support market transfonnation of energy efficient products and
services in OR, W A, ID. Programs include manufacturer rebates on
compact fluorescent bulbs to building operator training courses
- 26-
Ch. 2 - Current Position
DSMProgram Name Description Availability
(* programs under
evaluation)
Commercial Retro Commissioning Pilot program designed to work with customers to re-commission the UT*
operation of their commercial buildings consistent with the building was
designed to operate.
Supply Side Resources
PacifiCorp owns or has interests in generating plants with an aggregate plant net capability of
920 MW. With its present generating facilities, under average water conditions, approximately
6% of PacifiCorp' s energy requirements for 2003 would be supplied by its hydroelectric plants
66% by its thermal plants, and the balance of 28% would be obtained under long-term purchase
contracts, exchange and other purchase arrangements.
Hydro
PacifiCorp s hydroelectric portfolio consists of 53 generating plants, with a capacity of 1 119
MW. Ninety-seven percent of the installed capacity is regulated by FERC through 20 individual
licenses. These projects account for about 13% of PacifiCorp s total generating capacity and
provide operational benefits such as peaking capacity, generation, spinning reserves and voltage
control.
Nearly all of PacifiCorp s hydroelectric projects are in some stage of relicensing under the
Federal Power Act (FP A). The relicensing process is a public regulatory process that involves
controversial resource issues. In granting the new licenses FERC is expected to impose
conditions designed to address the impact of the projects on fish and other environmental
concerns. In addition, under the FP A and other laws, the state and federal agencies and tribes
have mandatory conditioning authorities that give them significant influence and control in the
relicensing process. It is difficult to determine the economic impact of these mandates, but
capital expenditures and operating costs are expected to increase in future periods while
electricity losses may result due to environmental and fish concerns. As a result of these issues
for example, PacifiCorp has analyzed the costs and benefits of relicensing the Condit Dam and
has agreed to remove the Condit Dam at a cost of approximately $17 million.
Thermal
PacifiCorp also owns or has interests in 18 thermal-electric generating plants with an aggregate
nameplate rating of 7 289 MW and plant net capability of 6 769 MW.
During 2001 and 2002, PacifiCorp leased gas turbine peaking generators with 95 MW capacity
to provide electric generation to meet load requirements in Utah. The Company has replaced
these leased gas turbine peakers at its Gadsby Plant, in Salt Lake City, Utah, with 120 MW (three
40 MW units) Company-owned gas-fired turbines. The turbines went online in late summer
2002, and are included in the thermal-electric generating plant totals listed above.
Wind
PacifiCorp jointly owns one wind electricity generating plant at Foote Creek, Wyoming with a
plant net capability of 33 MW. In addition, PacifiCorp has signed a 20-year agreement to
purchase the entire output of the Rock River I wind electricity project located in Arlington
Wyoming, which has a net capacity of 50 MW. This project continues PacifiCorp s commitment
- 27-
Ch. 2 - Current Position
to develop additional megawatts generated by renewable resources. Table 2.3 summarIzes
PacifiCorp s existing generating facilities.
Table 2.3 Existing Generation Facilities
HYDROELECTRIC Energy Installation Nameplate Plant Net
PLANTS Location Source Dates Rating Capability
(MW)(MW)
Swift Cougar, WA Lewis River 1958 240.263.
Merwin Ariel, W A Lewis River 1932-1958 135.144.
Yale Amboy, WA Lewis River 1953 134.134.
Five North Umpqua Plants Toketee Falls, OR N. Umpqua 1949-1956 133.137.
John C. Boyle Keno, OR Klamath River 1958 80.84.
Copco Nos. I and 2 Plants Hornbrook, CA Klamath River 1918-1925 47.54.
Clearwater Nos. I and 2 Toketee Falls, OR Clearwater 1953 41.0 41.0
Grace Grace, ID River 1914-1923 33.33.
Prospect No.Prospect, OR Bear River 1928 32.36.
Cutler Collingston, UT Rogue River 1927 30.29.1
Oneida Preston, ID Bear River 1915-1920 30.28.
Iron Gate Hornbrook, CA Bear River 1962 18.19.
Soda Soda Springs, ID Klamath River 1924 14.14.
Fish Creek Toketee Falls, OR Bear River 1952 11.0 12.
Fish Creek
33 Minor Hydroelectric Various Various 1896-1990 89.89.1 *
Plants
SUBTOTAL (53 HYDROELECTRIC PLANTS)067.119.
THERMAL ELECTRIC Energy Installation Nameplate Plant Net
PLANTS Location Source Dates Rating Capability
(MW)(MW)
Jim Bridger Rock Springs, WY Coal-Fired 1974-1979 541.1*1,413.4*
Huntington Huntington, UT Coal-Fired 1974-1977 996.895.
Dave Johnston Glenrock, WY Coal-Fired 1959-1972 816.762.
Naughton Kemmerer, WY Coal-Fired 1963-1971 707.700.
Hunter 1 and 2 Castle Dale, UT Coal-Fired 1978-1980 727.662.
Hunter 3 Castle Dale, UT Coal-Fired 1983 495.460.
Cholla Unit 4 Joseph City, AZ Coal-Fired 1981 414.380.
Wyodak Gillette, WY Coal-Fired 1978 289.268.
Carbon Castle Gate, UT Coal-Fired 1954-1957 188.175.
Craig 1 and 2 Craig, CO Coal-Fired 1979-1980 172.1 *165.
Colstrip 3 and 4 Colstrip, MT Coal-Fired 1984-1986 155.144.
Hayden I and 2 Hayden, CO Coal-Fired 1965-1976 81.3*78.
Blundell Milford, UT Geothermal 1984 26.23.
Gadsby Salt Lake City, UT Gas-Fired 1951-1955 251.6 235.
Gadsby Peakers Salt Lake City, UT Gas-Fired 2002 120.120.
Little Mountain Ogden, UT Gas-Fired 1971 16.236.
Hermiston Hermiston, OR Gas-Fired 1996 237.52.
James River Camas, W A Black Liquor 1996 52.
Subtotal (18 Thermal Electric Plants)288.768.
Energy Installation Nameplate Plant Net
OTHER PLANTS Location Source Dates Rating Capability
(MW)(MW)
Foote Creek Arlington, WY Wind Turbines 1998 32.32.
Subtotal (1 Other Plant)32.32.
- 28-
Ch. 2 - Current Position
I Total Hydro, Thermal and Other Generating Facilities (72)
*Jointly owned plants; amount shown represents the Company s share only.
I 8 389.920.
Fuel
As of March 31 , 2002, PacifiCorp had 218 million tons of recoverable coal reserves that are
mined by PacifiCorp or its affiliates. All coal reserves are dedicated to nearby generating plants
operated by PacifiCorp. During 2002, these mines supplied approximately 32.5% of
PacifiCorp s total coal requirements, compared to approximately 50% in 2001. The decline is
due to the 2001 closure of the Trail Mountain Mine, which was no longer economically viable.
Coal is also acquired through long-term and short-term contracts. It is deemed favorable to have
a mix of purchased and mined coal supplies. Table 2.4 describes PacifiCorp s recoverable coal
reserves as of March 31 , 2001.
Table 2.4 PacifiCorp Coal Reserves
Location Plant Served Recoverable Tons
(in millions)
Craig, Colorado Craig 504
Emery County, Utah Huntington and Hunter
Rock Springs, Wyoming Jim Bridger 100
The Company supplies its generation plants with the natural gas needed for operations through
long-term and short-term contracts.
WHOLESALE SALES AND PURCHASED ELECTRICITY
PacifiCorp wholesale purchases and sales complement its retail business, form a critical part of
its balancing and hedging strategy, and enhance the efficient use of its generating capacity.
Balancim! and Hed2in2 Strate2Y
PacifiCorp s primary business is to serve its retail customers. The Company s business is
exposed to risks relating to, but not limited to, changes in certain commodity prices and
counterparty performance. The Company enters into derivative instruments, including electricity,
natural gas and coal forward, option and swap contracts, and weather contracts to manage its
exposure to commodity price risk and ensure supply and thereby attempts to minimize variability
in net power costs for customers. The Company has policies and procedures to manage risks
inherent in these activities and a Risk Management Committee to monitor compliance with the
Company s risk management policies and procedures.
The Risk Management Committee has limited the types of commodity instruments the Company
may utilize to those relating to electricity, natural gas and coal commodities, and those
4 These coal reserves are leased and mined by Trapper Mining, Inc., a Delaware non-stock corporation operated on a
cooperative basis in which PacifiCorp has an ownership interest of approximately 21.4%.5 These coal reserves are mined by subsidiaries ofPacifiCorp and are in underground mines.
6 These coal reserves are leased and mined by Bridger Coal Company, a joint venture between Pacific Minerals
Inc., a subsidiary ofPacifiCorp, and a subsidiary ofIdaho Power Company. Pacific Minerals, Inc. has a two-thirds
interest in the joint venture.
- 29-
Ch. 2 - Current Position
instruments are used for hedging price fluctuations associated with the management of resources.
The Company s hedging is done solely to help balance retail and wholesale load. Short-term
commodity instruments are occasionally held by the Company for trading purposes.
Wholesale Sales and Purchases
Long-term electricity purchases supplied 11.8% of PacifiCorp s total energy requirements in
2002. Short-term and spot market electricity purchases supplied 20.5% of PacifiCorp s total
energy requirements in 2002.
Historically, during the winter, PacifiCorp has been able to purchase electricity from utilities in
the Southwestern United States, principally for its own peak requirements. The Company
transmission system connects with market hubs in the Pacific Northwest having access to low-
cost hydroelectric generation and also with market hubs in California and the Southwestern
United States with access to higher-cost, fossil-fuel generation. The transmissioh system
available for common use consistent with open access regulatory requirements. If PacifiCorp is
in a surplus electricity position, PacifiCorp is able to sell excess electricity into the wholesale
market.
In addition to its base of thermal and hydroelectric generation assets, PacifiCorp utilizes a mix of
long-term, short-term and spot market purchases to meet its load obligations, wholesale
obligations and its balancing requirements. Many of PacifiCorp s purchased electricity contracts
have fixed-price components, providing protection against price volatility.
PacifiCorp currently purchases 925 MW of firm capacity annually from BP A pursuant to a long-
term agreement. This purchase helps PacifiCorp to balance its thermal generation to loads by
taking delivery during on-peak hours and make the required return of energy during off-peak
hours. The purchase amount declines to 750 MW in July 2003 and again to 575 MW in July
2004 through August 2011.
Under the requirements of the Public Utility Regulatory Policies Act of 1978, PacifiCorp
purchases the output of qualifying facilities constructed and operated by entities that are not
public utilities. During 2002 , PacifiCorp purchased an average of 104 MW from qualifying
facilities, compared to an average of 109 MW in 2001.
PacifiCorp also has commitments to purchase electricity from several hydroelectric projects
under long-term arrangements with public utility districts. These purchases are made on a "cost-
of-service" basis for a stated percentage of project output and for a like percentage of project
annual costs (operating expenses and debt service). These costs are included in operations
expense. PacifiCorp is required to pay its portion of operating costs and its portion of the debt
service, whether or not any electricity is produced. For 2002, such purchases approximated 1.9%
of energy requirements.
Under the hydroelectric purchases described above, PacifiCorp contracts for electricity from four
dams located on the middle Columbia River. These four dams are currently licensed by FERC to
three public utility districts (PUD) located in central Washington. Chelan County PUD has the
FERC license for Rocky Reach Dam, Douglas County PUD has the license for Wells Dam, and
Grant County PUD has the license for Priest Rapids and Wanapaum Dams. PacifiCorp
- 30-
Ch. 2 - Current Position
contracts with these PUDs generally terminate at the same time as the current FERC license
expIres.
In December 2001 PacifiCorp reached an agreement with Grant County PUD to renegotiate the
Wanapum and Priest Rapids contracts after the current contracts expire. The terms and
conditions of the new contracts will vary from terms and conditions currently in place.
Table 2.5 shows PacifiCorp s share of long-term arrangements with public utility districts as of
March 31 2002
Table 2.5 PacifiCorp Mid-Columbia Hydro Contracts
Generating Year Contract Capacity Percentage Annual
Facility Expires Winter
of Output
(%)
Costs (a)(MW)
Wanapum 2009 155 18.
Priest Rapids 2005 110 13.
Rocky Reach 2011 3.1
Wells 2018
Total 389 $16.
In September 2001 PacifiCorp, through an independent third party, issued a Request for
Proposals for electric supply that can be delivered into PacifiCorp s Utah Power electric service
territory. This process resulted in a lease with PacifiCorp Power Marketing (PPM, PacifiCorp
unregulated wholesale power marketing affiliate) for new peaking resources in the Utah Power
service territory and several contracts for peak electricity to be delivered into that territory. The
costs associated with the leasing of a 200 MW natural gas-fired electricity plant from PPM
(located in West Valley, UT) is subject to regulatory acceptance. The plant became operational
in the summer of 2002 and is currently operating at its full capacity.
See Appendix C, Tables C., C., and C.3 for a complete listing oflong-term purchase, sales and
exchange contracts.
TRANSMISSION
PacifiCorp s transmission system is interconnected with more than 80 generating plants and
adjacent control areas at 124 interconnection points. PacifiCorp s transmission asset ownership
has resulted in PacifiCorp s significant involvement in recent transmission industry changes.
PacifiCorp has had an open access transmission tariff on file at the Federal Energy Regulatory
Commission (FERC) since 1989. The PacifiCorp transmission business operates independently
and markets its transmission services using an Open Access Same-time Information System
(OASIS).
7 Annual costs in millions of dollars. Includes debt service of $6.3 million. The Company s minimum debt service
obligation at March 31 , 2002 was $9.0 million, $9.0 million, $8.0 million, $10.0 million and $10.0 million for the
years 2003 through 2007, respectively.
- 31 -
Ch. 2 - Current Position
PacifiCorp operates two separate control areas, the West and the East. The Bridger Plant in
Wyoming (with associated transmission through Idaho) is a dedicated Western resource.
PacifiCorp has contractual rights to transfer up to 1 600 MW of electricity from the Bridger plant
on Idaho Power Company s transmission lines to PacifiCorp transmission at the Midpoint
substation in Idaho. These rights are unidirectional with the exception of 100 MW bi-directional
allocated to reserves (RTSA). Other transmission that permits benefits from regional diversity
includes PacifiCorp s share of the AMPS line . Outside of these ownership rights and firm
contracts, PacifiCorp has to pay for transmission wheeling and congestion costs to fully optimize
use of its resources between East and West.
In the West, PacifiCorp territory is integrated with the BPA network. PacifiCorp uses network
firm rights on the BP A transmission to cover its service territory and connect to markets. In the
East, however, the PacifiCorp transmission system in Wyoming and Colorado is sufficient
though in Utah it is becoming congested.
Congestion refers to transmission paths that are constrained, imposing limited power transactions
because of insufficient capacity. Congestion can be relieved by increasing generation
reinforcing transmission or by reducing load. The following are examples of congested paths
that were encountered in the IRP planning:
Constraints on the west of Bridger transmission system resulted in increased PVRR due to
greater transmission integration costs, hence making the Wyoming coal option less attractive
than Hunter #4
The rating ofWECC Path C, i., the lines between Utah and Idaho, limits transfer capability
into the Utah bubble
West of the Cascade South congestion increases the integration cost for wind developments
from an area considered to be one with the highest wind potential in the Northwest
PacifiCorp s firm transmission rights must be analyzed with caution. At times, the sum of
imports "available" according to stated contract rights do not equal the transfers physically
available to the system. Such inequalities occur because transmission paths and system subsets
operate in an interrelated manner. For example, transmission in and around Utah is particularly
prone to inadvertent (or loop) flow. Inadvertent flows cause the simultaneous import capability
into Utah to be significantly lower than the non-simultaneous limit. In other words, reaching the
transfer limit on one path may concurrently diminish the transfer limits on other paths.
ACIFICORP POSITION -THE GAP
The difference between the load forecast and the existing PacifiCorp resources define the
shortfall in supplies. Figure 2.2 provides an illustration of the peak system requirement with a
15% planning margin and the capacity ofPacifiCorp s existing resources as they are expected to
exist in the future.
8 The Amps line is a 230 kV transmission line linking eastern Idaho with western Montana.
- 32-
Ch. 2 - Current Position
Figure 2.2 PacifiCorp System Capacity
12,000 Peak System Requirement + 15% Planning Margin
000 -
000
Resource Deficit
~ 6 000
Nameplate Capacity of Existing Resources
000
000
The annual peak system requirement can be defined as the hour of the year when the loads plus
long-term firm sales minus long-term firm purchases results in the largest requirement on our
system. The planning margin (15%) is the target reserve level assumed to provide sufficient
future resources to cover forced outages, provide operating reserves and regulatory margin, and
allow for demand growth uncertainty.
As mentioned earlier in this chapter, PacifiCorp operates in two control areas -West and East.
These two control areas have very different resource and transmission issues, which results in a
different balance in loads and resources for each side of the system.
Figures 2.3 and 2.4 represent the average net position for each month from April 2003 to March
2011 , for both PacifiCorp West and East, respectively. Hourly net operating margins are
included in the calculations of net position, and the values are shown after East-West transfers.
The net position is shown for the Heavy Load Hour (HLH) and Light Load Hour (LLH) periods
(see glossary for definition of HLH and LLH).
- 33-
Ch. 2 - Current Position
Figure 2.3 PacifiCorp West Gap Analysis
200
PAC West Gap Analysis - HLH & LLH
(After Transfers)
000
800
600
400
200
ri,
::;
r::,
(21581 1
(400)
(600)
(800)
000)
200)
HLH -LLH
Figure 2.4 PacifiCorp East Gap Analysis
200
PAC East Gap Analysis - HLH & LLH
(After Transfers)
800
.. -- - - .
000
600
400
200
ftI
::;
(2615) J
(400) r
(600)
(800)
000)
200) "
-HLH LLH
- 34-
Ch. 2 - Current Position
PacifiCorp West
The gap in PacifiCorp West is the result of a financial and an energy problem. The financial
problem is caused by contract expirations and the uncertainty surrounding renegotiating these
contracts at a favorable price. A significant impact of these expirations is felt as early as 2007
when a few large contracts such as Clark County and Transalta expire (see Appendix C for
complete list of existing contracts). While the resources associated with these contracts remain
there is uncertainty around renegotiating the contract, and an inherent impact on new resource
choices.
The energy problem in the West results from uncertainty around the energy that a hydro unit
produces. While there is adequate hydro capacity, the energy can vary seasonally and with
changing weather. Furthermore, hydroelectric generation makes up a very large percentage of
the PacifiCorp portfolio of generation in the West. Therefore, when hydroelectric gen~ration is
particularly deficient, there is limited PacifiCorp-owned thermal capacity to provide sufficient
output to serve energy needs.
PacifiCorp East
PacifiCorp East has a transmission problem and a need for additional capacity. These needs are
interrelated. The East requires more physical resources to fulfill the obligation to serve load.
Transmission constraints limit imports from out of area. This results in either a need to build or
buy additional generation capacity to fulfill the load obligation, or to build or upgrade the
transmission system to relieve congestion and allow addition generation to be brought into the
East.
However, as one can see from Figure 2.4, the Gap occurs only in the heavy load hours, which
results in a load-shaping problem in the East. Particularly in the Wasatch front, where the peak
is growing faster than the load, a need is demonstrated for more flexible or peaking resources.
CONCLUSION
PacifiCorp has a complex service territory served by a large and diverse portfolio of resources.
Linked by an enormous transmission network, the service territory covers broad and distant areas
of the WECc. PacifiCorp s generation portfolio contains a wide array of coal and natural gas
fired units as well as a large collection of flexible hydroelectric resources. Also many
contractual arrangements complement these resources. However, the combination alone
insufficient to meet the growing load obligation. To serve the gap, PacifiCorp s body of assets is
supplemented by a large and complicated array of electricity purchase arrangements. The gap, as
defined earlier, is net of long-term contracts and supplemented by short-term contracts.
The gap between load and resources is perhaps the most distinctive and important feature of
PacifiCorp s current position. Similarly, resolving the gap economically and reliably plays the
central role in PacifiCorp s planning process.
- 35-
Ch 3 - Risk and Uncertainties
RISKS AND UNCERTAINTIES
INTRODUCTION
Electric utilities operate in an increasingly uncertain and volatile environment. The Western
energy market conditions of 2000-2001 described in Chapter 1 graphically illustrate this. These
recent events underscore the importance of risk management.
Clearly, every planning process should consider risk - that is, the possibility of different
outcomes due to uncertainty about the future. However, general techniques for effectively
incorporating risk analysis into utility resource plans have been more elusive. This Chapter
discusses risk in general and describes the techniques PacifiCorp employed to incorporate risk
analysis into its resource plan.
CLASSIFICATION OF RISK
Not all risks are assessed in the same way. For example, the Palo Verde electricity price realized
next summer will most likely vary from expectations today (i., the forward price or a
fundamental price forecast). This uncertainty and the associated impact can be quantified by
applying stochastic modeling techniques described in Appendix H. However, if radical change
is introduced in the way the electric utilities do business, e.g. Standard Market Design (or SMD),
the model itself needs to be modified to account for the structural changes. Since the details of
such radical changes are largely unknown, it is not possible at this time to quantify the related
impact with mathematical modeling techniques.
Accordingly, the risks faced by PacifiCorp can be sorted into three general categories:
Stochastic, Scenario and Paradigm risks. Scenario and Paradigm Risks constitute categories of
what is frequently referred to as formal uncertainty. Figure 3.1 illustrates the categories of risk
PacifiCorp faces.
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Ch 3 - Risk and Uncertainties
Figure 3.1 Risk Diagram
Risk
----
t ~
Stochastic Risks
Stochastic risks are quantifiable risks. These parameters can be numerically represented and a
known statistical process can be used to represent their variability.
Risks associated with business as usual variability typically falls within this category.
PacifiCorp s analysis assumes that the Stochastic risk is driven by uncertainty in the following
parameters (risk factors):
Retail Loads (Northwest, Wyoming, Utah, Idaho)
Spot Market Natural Gas Price (Mid Columbia, and two Utah nodes)
Spot Market Electricity Price (Mid C, COB, PV)
Hydrogeneration (PacifiCorp West, PacifiCorp East)
Thermal Unit Availability
Explained by a known statistical process, Stochastic risks naturally lend themselves
simulation. As such, their variability is captured in the IRP's modeling and reported in Chapter
7. Refer to Appendix H for detailed information about the risk parameters above.
Scenario Risks
Scenario risks are also parameter driven. However the parameter variability cannot be
reasonably represented by a known statistical process. This risk category is intended to embrace
abrupt changes in the risk factors , such as introduction of high carbon allowance costs. The
probability of high carbon allowance costs cannot be determined with a reasonable degree of
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Ch 3 - Risk and Uncertainties
accuracy. Therefore, a scenario of this occurrence is created without applying a probability to it.
With assumed values (as opposed to simulated values) portfolios can be tested for their
sensitivity to a specific Scenario risk.
Examples of Scenario risks addressed in the model are listed below. For a complete list of
assumptions regarding these and other risk parameters, refer to Appendix C.
Charges for prospective CO2 emissions can be assigned. For example charges in the model
are assumed to equal $8/ton above the year 2000 cap. Stress cases also modeled the impact
of varying this allowance rate ($2/ton, $25/ton and $40/ton).
Hydrogeneration relicensing efforts could affect future hydro generation capacity and energy
levels. Adjusting expected energy output and stressing the capacity availability could assess
the impact of this risk.
The market value of Green Tags is influenced by the unknown probability of the passage of
Federal and/or State renewable portfolio standards. However, Green Tags can be assumed to
have an explicit value. For example a $5/MWh value was assigned for green tags.
Renewable production tax credits are easily represented as a measurable economic subsidy to
green generation because the value of the credit is provided by all tax payers. The
probability of their extension is unknown. Therefore, modeling the parameter requires
applying assumed values for the credit.
In the case of changing Scenario risks, the time evolution of Present Value Revenue
Requirement (PVRR) takes a distinctly different path, rather than fluctuating around an expected
value. The measure of Scenario risk is the difference between the expected PVRRs generated by
applying different scenarios. The Figure 3.2, below, illustrates the different impacts of Stochastic
and Scenario risks on a hypothetical series of annual revenue requirements.
Stochastic risks by definition vary randomly given a specific set of core assumptions for the
Scenario Risks. We see the solid line jaggedly moving through time demonstrating a random
(stochastic) series of outcomes.
Initially, the dashed and solid lines follow a similar path. However, the line shifts with the
introduction of a change in a Scenario risk. For example, assume carbon allowance costs fall to
$2/ton from $40/ton. The dashed line illustrates the shift (or shock) associated with a change in
this Scenario risk assumption. The Scenario risk parameter is manually modified in order to
observe the impact on the model. This is a form of stress testing.
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Ch 3 - Risk and Uncertainties
Figure 3.2 Stochastic and Scenario Risk Illustration
0::
0::
:;:.
a..
Time
Paradi2ID Risks
Paradigm risks cannot be reasonably represented by a number. Accordingly, the variability of
Paradigm risks cannot be represented by a known statistical process. Paradigm risks are
typically associated with large shifts in market structure or business practices, such as
introduction of RTO West and SMD. Such innovations involve radical changes in the business
model. Since the details of such changes are not presently specified, Paradigm risks do not
easily lend themselves to quantitative analysis. The radical changes to fundamentals generally
defy reasonable approaches to numerical representation until they are more fully specified.
While not explicitly modeled, Paradigm risks cannot be ignored. Accordingly, Paradigm risks
are typically addressed outside of the model and cannot be summarized by a simple series
metrics. The assessment of Paradigm risks is usually qualitative rather than quantitative.
Attempts, described below, are made to create a plan with the flexibility to respond to changes in
Paradigm risks. In some instances, assumptions are explicitly modeled to impute additional
flexibility. Despite these efforts, Paradigm risks, as they arise, will ultimately require a well
reasoned response developed in conjunction with PacifiCorp, its regulators and the public.
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Ch 3 - Risk and Uncertainties
DISCUSSION OF SPECIFIC RISKS
A large number of critically important Scenario and Paradigm risks currently fill the market.
Each has the ability to dramatically affect PacifiCorp s operation. These risks merit additional
discussion and include:
Regional Transmission Organization and FERC's proposed Standard Market Design (RTO
and SMD)
Comprehensive Air Strategy
Hydrogeneration Relicensing
Renewable Portfolio Standard
. Multi-State Process
Oregon Electric Restructuring (SBI149)
The information below provides background information on each risk. It also describes how the
resolution ofthe risks could affect PacifiCorp and how the risks are analyzed within this IRP.
RTO and SMD
PacifiCorp, in conjunction with nine other utilities, is seeking to form a Regional Transmission
Organization ("RTO West"), in response to FERC Order 2000. The 10 members ("filing
utilities ) ofRTO West would be:
A vista Corporation
British Columbia Hydro Power Authority
Bonneville Power Administration
Idaho Power Company
NorthWestern Energy LLC
Nevada Power Company
PacifiCorp
Portland General Electric Company
Puget Sound Energy, Inc
Sierra Pacific Power Company
Creation of RTO West is subject to regulatory approvals from the FERc. Some of the states
served by the filing utilities may also assert jurisdiction over certain matters relating to the
formation ofRTO West. RTO West, when fully implemented, will operate transmission facilities
needed for bulk power transfers and control the majority of the 60 000 miles of transmission
lines owned by the entities.
On July 31 , 2002, the FERC issued its Notice of Proposed Rulemaking (tlNOPRtI), proposing a
new Standard Market Design (SMD) for wholesale electricity markets and requesting comments
from market participants. Comments are due in mid-November or mid-January, depending on
the subject.
On September 18, 2002, the FERC Commissioners voted that, with some modification and
further development of certain details, and the RTO West proposal not only satisfies the 12
characteristics and functions of Order 2000, but also provides a basic framework for standard
market design for the West.
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Ch 3 - Risk and Uncertainties
Going forward, the focus of the RTO project will be on completing the RTO West design details
influencing the final SMD Western market design framework. The filing utilities also plan to
submit a proposed RTO West tariff in early 2003. In addition, the filing utilities have entered
into a Memorandum of Understanding with the other two potential Western RTOs, namely
WestConnect and California Independent Grid Operator and will work on inter-regional issues
through that forum.
Potential Impact
Resource adequacy has been addressed in both the RTO West Order and the SMD NOPR.
Within the SMD NOPR, FERC proposes that all Load Serving Entities must meet a minimum
capacity reserve planning margin (12%) or face potential penalties. The required reserve margin
could be set higher by a Regional State Advisory Committee, proposed by the SMD NOPR to
advise the independent transmission provider. In contrast, the RTO West Order is more flexible
in that it encourages the filers to consider reliability based development of a resource adequacy
plan.
If a generation adequacy standard is imposed on PacifiCorp, either through the SMD requirement
or as a consequence of a future standard adopted by the RTO West, the impact on PacifiCorp
IRP process could be both direct and indirect. Directly, PacifiCorp could be required to make
generation additions or enter into firm contracts to meet a minimum Planning Reserve Margin.
If the Planning Reserve Margin were set too high, PacifiCorp and its customers would incur
unnecessarily high costs without reliability or risk reducing benefits. Since the same requirement
would impact all other load serving entities in the WECC, it could be expected to impact the
supply-demand balance throughout the WECc. This would indirectly affect PacifiCorp s system
through its impacts on market prices throughout the WECC. The impact could be seen through a
smoothing of boom-bust cycles of generation additions and market prices, an intended impact of
the SMD. This impact could result in chronically low market prices and could potentially impact
overall depth and liquidity of electricity markets.
Treatment in the IRP Models
The ultimate reserve requirements of SMD are unknown. Planning Margin discussions range
from 12% to 18%. A 15% Planning Reserve Margin was assumed as a reasonable proxy for
final SMD requirements. A 10% Planning Margin requirement was also analyzed as a stress to
test the risk of a divergence from this assumption. Forecasts of future market prices were
developed assuming that future resources would be added to the WECC to maintain a 16%
reserve margIn, on average.
RTO could impact the economics by which transmission rights are procured and energy flows.
The risk of this change was addressed with a conservative bias. Accordingly, only firm
transmission rights were modeled.
Comprehensive Air Strate2V
PacifiCorp s coal-fired plants must comply with numerous, complex environmental air quality
laws and regulations, some of which are the subject of industry-wide enforcement initiatives. In
addition, new emissions requirements are expected to emerge over the next several years that
will impose even more stringent pollution control requirements. PacifiCorp is the single biggest
coal-fired power producer in the Western energy market. Therefore, existing and expected future
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Ch 3 - Risk and Uncertainties
emissions regulations create significant uncertainty for the future operations and investment
requirements of PacifiCorp.
Air emissions are regulated under both federal and state law. The Environmental Protection
Agency (EP A) oversees federal laws although most states, including Utah and Wyoming, have
authority to administer the federal laws within their borders subject to EP A's oversight. At
times, federal and state laws can overlap or seemingly be in conflict.
The primary pollutants of concern for coal-fired plants include: sulfur dioxide (SO2), nitrous
oxide (NOx), particulate matter (PM), carbon dioxide (CO2) and mercury (Hg). The
environmental impact of these pollutants differs in the western and eastern part of the United
States, with SO2 being the biggest concern in the west and NOx the largest concern in the east.
The Administration s Clear Skies proposal recognizes that the West faces different air quality issues
than other parts of the country and would set emission caps to account for these differences.
Coal-fired plants in general face future regulatory uncertainty due to a number of regulatory tools
used by both government and private citizen groups to require further emission reductions. These
methods include: (1) the New Source Review (NSR) enforcement initiative (see explanation
below); (2) NSR rule changes; (3) visibility requirements; (4) ongoing compliance issues; (5)
emerging new emission requirements, including new legislation; and (6) changing federal, state
and public attitudes, including an increase in lawsuits by citizen groups to achieve emissions
reductions. The most pressing of these is the NSR enforcement initiative which involves an
attempt by the U.S. Environmental Protection Agency (EPA) to force emission reductions from
coal fired powerplants through enforcement activities. These enforcement activities have
included Notices of Violations (NOVs), civil complaints and similar actions against eight
utilities and one federal agency in the eastern US along with the investigation of countless other
coal plants across the country, including four PacifiCorp plants.
New Source Review (NSR)
The NSR program in general requires utility owners or operators to undertake NSR review and
obtain a new permit if they propose to build new generating units or modify existing plants in a
way that increases emissions of regulated pollutants. EP A's current interpretation of these rules
has created substantial legal controversy and has resulted in EP A launching the NSR
enforcement initiative.
Climate Change
Some compliance costs - like those associated with pollution control equipment for SOl and
NOx - can more easily be predicted based on current and expected rules. However, other
compliance costs are far less easily predicted or quantified. Most notable among these uncertain
costs are costs associated with compliance with future climate change requirements regulating
emissions of greenhouse gases. Determining the impact of potential carbon regulations poses a
challenge due to the tremendous amount of uncertainty surrounding such a policy. This
uncertainty includes the stringency of potential future regulations; the timing of these
regulations; and the way in which they will be implemented - including the flexibility to trade
emission allowances across sectors and countries.
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Ch 3 - Risk and Uncertainties
Climate change policies are developing as a complex mix of requirements debated on both the
international stage and through domestic policy developments.
Multi-pollutant Legislation
Several national proposals to amend the Clean Air Act to limit air pollution emissions from the
electric power industry are being discussed at the national level. The three most prominent are:
President Bush's Clear Skies Act/Global Climate Change Initiatives
Clean Power Act (S. 556) introduced by Senator Jeffords (I-Vt), and
The Clean Air Planning Act of 2002 (S.) introduced by Senators Carper (D-DE), Lincoln
Chafee (R-RI), John Breaux (D-LA), and Max Baucus (D-MT).
The Administration s Clear Skies Act (RR. 5266 and S.B. 2815), which was introduced by Reps.
Barton (R-TX), Tauzin (R-LA) and Sen. Robert Smith (R-NH), requires reductions for SO2,
NOx and Hg. Implemented through a tradeable allowance program, the emissions caps would
be imposed in two phases: 2008 and 2019. The Administration proposal recognizes that the east
faces different air quality issues than other parts of the country and will set emission caps to
account for theses differences. The second Bush Administration proposal (for which no
legislation has been introduced) initiates a new voluntary greenhouse gas reduction program. The
plan focuses on improving the carbon efficiency of the economy, reducing current emissions of
183 metric tons per million dollars of GDP to 151 metric tons per million dollars of GDP by
2012. The Administration s proposal relies on various voluntary programs and incentives to
encourage reductions in greenhouse gases from diverse sources, including CO2 from electric
generation.
The Carper bill would regulate SO2, NOx, mercury and CO2 emissions from the electric
generating sector: (1) the SO2 mandate would reduce emissions via three phases to 2.25 million
tons in 2015; (2) the 2-phase NOx program culminates with a 2012 cap of 1.7 million tons; (3)
the mercury cap would be in two phases: 2008 and 2012; (4) the two-phase CO2 program would
cap emissions at 2005 levels in 2008 and 2001 levels in 2012.
The Jeffords bill (S. B. 556), the most stringent of the bills, requires power plants to reduce sulfur
dioxide and nitrogen oxide emissions by 75 percent, mercury emissions by 90 percent and carbon
dioxide to 1990 levels, all by 2008.
Mercury Maximum Achievable Control Technology (MACT)
Mercury (Hg) controls are also being considered separately from multipollutant legislation under the
Maximum Achievable Control Technology (MACT) standards under the CAA (Clean Air Act).
December 2000, EPA determined that Hg emissions must be regulated. EPA is under a court-
approved consent decree to propose a rule establishing MACT standards for Hg for coal-fIred power
plants by December 2003 and to fmalize that rule by December 2004. Power plant operators must
comply with the rule by December 2007.
Mercury control options are highly dependent on the chemical form and concentration of
mercury in the coal and the fuel's chlorine content These parameters may be tied to the type of
coal used. Western bituminous coals have characteristics that are closer to sub-bituminous coals
44 -
Ch 3 - Risk and Uncertainties
than to eastern bituminous coals. Sub-bituminous and western bituminous are generally harder to
control than eastern bituminous coal.
Further analysis of existing data and the collection of new data would potentially lead to a better
understanding of the relationship between Hg emissions and an array of likely contributing factors
including the chemical and physical characteristics of the coal, boiler technologies, control
technologies, and stack parameters.
Approach
The company believes that improved environmental quality can be achieved by taking leadership
positions in these arenas, but it must work with utility rate commissions to achieve alignment
between environmental policies and allowable expenses.
Potential Impact
The cost of meeting present, pending and future SO2, NOx and Hg regulations will be substantial
with related after-tax OMAG and capital expenditures through 2025 ranging between $500 million
(NPV) and $1.7 billion (NPV). The $500 million represents a scenario in which SO2 scrubbers and
low-oxides of nitrogen burners (low-NOx burners) are installed on PacifiCorp-operated units.
The $1.7 billion represents full controls (SO2 scrubbers, Selective Catalytic Reduction controls
for NOx, and baghouses with activated carbon injection for mercury)
Capital costs for an SO2 scrubber range from $150 to $330 per kW; baghouses $60 to $130 per
kW; 10w-NOx burners $15 to $30 per kW; and Selective Catalytic Reduction controls for NOx at
$100 to $220 per kW. Other additional costs include fixed and variable O&M, as well as lost
generation costs associated with installation and lower capacity.
Costs associated with potential future CO2 requirements are not included in the above scenarios.
PacifiCorp Approach to Air Quality Standards
PacifiCorp is advocating a comprehensive approach to meeting various air quality standards.
The plan would yield significant air quality improvements, a safe, reliable and cost effective
energy supply, meet the company s commitment under the WRAP sulfur dioxide emission
reduction curve, and integrate necessary improvements in air quality equipment with other
efficiency and equipment replacement schedules at the coal facilities. The approach would give
PacifiCorp the ability to integrate air quality concerns and expenditures into the overall
Integrated Resource Plan (IRP) with improved certainty.
Treatment in the Model
. PacifiCorp s comprehensive approach to addressing air issues was not explicitly assigned a
cost. Costs associated with this approach are common to all portfolios. It assumes existing
plants run for their expected lives with assumptions for emissions reductions resulting from
installation of new control technologies.
PacifiCorp included CO2 emission "adders" for the purposes of stress testing. The base case
assumption is for a CO2 tax of $8/ton charged for each ton above year 2000 level emissions
and credited if below the cap beginning in fiscal year 2009. Additional stresses were done
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Ch 3 - Risk and Uncertainties
with $2, $25, and $40/ton scenarios representing various possible policy outcomes with
varying implementation dates and cap levels.
SOz and NOx emission restrictions impact portfolio cost by assessing a $/ton charge for
emissions above their cap or paying credit below the cap. Representative charges, based on
PIRA estimates, are modeled.
Hydro Generation-Relicensim!
Like the CAI, the issues involved in relicensing hydro generation facilities are complex. They
involve numerous federal environmental laws and regulations.
PacifiCorp s hydro generation portfolio is 1 100 MW, generated at 54 facilities with 20 individual
Federal Energy Regulatory Commission (FERC) licenses in six states. Hydrogeneration
facilities account for about ten percent of PacifiCorp s overall generation portfolio and provide a
critical resource to meet peak demands. The current hydrogeneration relicensing schedule with
FERC extends to 2013.
FERC hydrogeneration relicensing is a very complex regulatory environment and is an extremely
political and public process involving complicated and controversial public policy issues.
Litigation is prevalent. There is only one alternative to relicensing, that being decommissioning.
Both choices are expensive.
Under the Federal Power Act that governs the FERC process, fish and wildlife, cultural
recreational, land-use and aesthetics all are considered equal to energy production when
considering relicensing. Since the responsible agencies place mandatory conditions in the
license, FERC is not in a position to balance the requests between different agencies. For
example, on a single-project relicensing, issuance of a water quality certification (referred to as a
401 certification" due to its placement in the Clean Water Act) is completed by the following
agencIes:
Washington State Department of Ecology,
National Marine Fisheries Services
u.S. Fish and Wildlife Agency (which prescribes fishway conditions),
u.S. Forest Service
Indian Nations (which prescribe measures if the project includes reservation lands).
These different requirements may not align. In addition, more federal, state and local regulations
may apply. These include provisions of the Clean Water Act, Northwest Forest Plan
consultation under the Endangered Species Act, and state and federal fish recovery plans.
Potential Impact
Relicensing hydro generation facilities is costly. To date, relicensing has resulted in $75m of
accumulated costs that are anticipated to be added to the rate base when the generating facilities
receive a new operating license. An additional $60 million is expected to be spent over the next
10 years for this process. Costs related to the requirements of relicensing are expected to total
$1.5 billion to $2.2 billion over the next 30 to 35 years. About 90 percent of the cost relates to
the three largest projects Lewis River, Klamath River and North Umpqua, and nearly half of
these costs are attributed to lost generation.
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Ch 3 - Risk and Uncertainties
PacifiCorp s Approach to Hydrogeneration Relicensing
PacifiCorp is managing this process by attempting negotiated settlements as part of the
relicensing process. PacifiCorp believes this proactive approach is the best way to achieve
environmental improvement while managing costs. PacifiCorp is prepared to consider project
decommissioning if that appears to offer the lowest-cost alternative for our customers. Finding
ways to engage a larger public interest voice in these licensing projects would be helpful.
Reforming the Federal Power Act to allow mitigation alternatives to agency mandates also is a
priority.
Treatment in the IRP Model
The model assumes a loss of energy due to operational changes and increased bypass flows
in the base case for all portfolios. Future impacts are highly speculative at this time due to
ongoing negotiations.
The costs of relicensing projects are not included in the model analysis since they are
common to all portfolios.
Relicensing involves the risk (however remote) of a loss of capacity. Accordingly, a stress
case was run to test the impact oflosingjust over 200 MW of hydrogenation capacity, or
20% of our hydrogenation portfolio.
Renewable Portfolio Standard (RPS)
The RPS examined in many of the modeling runs was based upon the version passed by the U.
Senate in S. 517, which was the Senate s version of the federal Energy Bill in the 2001-2002
session. With the mid-term elections, it appears unlikely that the energy legislation adopting a
federal RPS will be passed in the 2003 - 2004 session. The bill was the product of substantial
negotiation and may indicate the form of a future federal RPS in the long-term. While
discussion may stall on Capitol Hill, 13 states have passed a RPS, including Texas, California
and Nevada. Other states, such as Utah and Washington, are contemplating an RPS in their 2003
legislative sessions.
The Senate version requires 1% of investor-owned utilities ' electricity to come from non-
hydrogeneration renewables, with the requirement rising by adding 0.6% each year to reach 10%
in 2020.
The annual targets are lowered by rewarding retail electricity suppliers for existing
hydrogeneration and renewables generation. Both existing hydrogeneration and renewables
count towards reducing the load to which the percentage is applied. Existing renewables further
count as a portion of the actual electricity generated to meet the standard. In addition, there is a
5 cent/kWh price cap on the premium cost above non-renewable electricity. These provisions
will lower the explicit numerical targets of the bill-one recent study finds that the standard
results in renewables representing just 6.5% of electricity supplied in 2020.
Based on PacifiCorp s estimates, which include the Senate s treatment of existing renewables
and hydro generation, but do not include the 1.5 cent/kWh price cap, the current federal RPS
proposal would result in PacifiCorp building or buying 20 new MWa of renew abIes by 2005.
The target rises every year thereafter to 229 MWa by 2010 and 829 MWa by 2020.
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Ch 3 - Risk and Uncertainties
Potential Impact
Early modeling runs featuring the RPS considered early adoption of renewables for numerous
strategic and economic reasons.
With the renew abIes totals in the portfolio, PacifiCorp could be well positioned for future federal
RPS. The Senate proposal provided full credit for existing renewables. Such legislation in the
future would provide full regulatory risk reduction benefits to the renewables component of the
portfolio.
Implementation of a renewables procurement strategy before broader sectoral demand "runs" on
renewables technology such as wind would avoid high price spikes for equipment and services
associated with demand-supply imbalances, particularly on hardware such as wind turbines.
Further, current pursuit of the best renewable resources, such as sites with good wind patterns
and proximity to transmission, allows PacifiCorp to take advantage of the cheapest opportunities
to develop renewables for customers.
While reliance on current thermal generation and future thermal investments are highly likely
scenarios, sole reliance on gas and coal exposes PacifiCorp to the risks they embody, with no
other fuel option. Pursuing renewables for resource diversity assumes that, without
revolutionary technology change, new hydro generation and nuclear generation are extremely
unlikely in the near- to medium-term due to cost, including siting challenges and safeguards
required by current regulations. Further, existing hydro generation is increasingly constrained by
state and federal regulations.
A mix of renewable resources diversifies supply options in the generation portfolio. Geothermal
is a baseload resource that complements existing thermal baseload. Solar offers a resource
whose availability coincides with periods of high demand in the summer and therefore offers
valuable electricity. Wind electricity is intermittent but its technological maturity provides high
energy value with modularity benefits as discussed below.
Portfolio diversity benefits are further enhanced by renewables ' fuel-free qualities. The value is
related to natural gas prices. As gas price volatility persists, renewables look more attractive as a
risk mitigation tool.
Treatment in the IRP Model
The IRP initially included the federal renewable portfolio standard (RPS) in all modeling
runs. Accordingly, 10% of system retail load (adjusted as per detailed discussion from
Appendix C, Table C.l?) is met by renewable electricity resources by 2020.
The RPS was initially modeled as a flat contract with delivery to load, system integration
and shaping costs included in the $/MWh rate.
Subsequent portfolio iterations, with the exception of Renewable, converted the flat, fixed
price RPS contract with one referred to as profiled wind. The profiled wind contract is a
resource modeled with a production shape reasonably representative of the resource
expected physical output, e.g. without any associated firming or shaping provided by a third
party.
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Ch 3 - Risk and Uncertainties
Multi-State Process (MSP)
In April 2002, PacifiCorp and interested parties from across PacifiCorp s service area initiated
the MSP to design a mutually acceptable solution or solutions to the states ' and the company
problems arising from the current approach to operating PacifiCorp as a multi-state utility. The
parties entered into an MSP to develop and review possible solutions to those challenges. The
MSP builds on feedback PacifiCorp received on a Structural Realignment Proposal it filed with
state regulatory commissions in December 2000.
PacifiCorp s Approach to MSP
PacifiCorp is committed to designing a solution that will be mutually acceptable, durable and
feasible in a multi-state environment. Through the MSP, the participants are working on a
number of issues, including providing states the ability to independently implement their own
energy policy objectives, establishing entitlement to the benefits of PacifiCorp s existing assets
and related costs, and determining a durable allocation method for future resources. As part of
the process, parties submitted potential solutions and those solutions, along with modeling that
supports them, are being carefully reviewed for their ability to:
Preserve system reliability, efficiency and safety
Balance risks and rewards among customers and shareholders
Be able to respond to emerging issues
Discussions are scheduled through December 2002. Once parties arrive at a solution, PacifiCorp
will seek regulatory approval from each state.
Treatment In The IRP Model
Clearly, changes resulting from MSP fall into the paradigm category of risks. The risks of the
MSP are among the most difficult to quantify. While a recognizable risk, MSP represents
distinct and separate process. The IRP process seeks to develop a least cost plan for serving
PacifiCorp s customers. MSP moves beyond the context of IRP by addressing the allocation of
costs among the states. Accordingly, no model adjustments or scenarios include assumptions
specifically related to MSP.
Ore2on Electricity Restructurin2 (SB1149)
During 1999, the Oregon legislature enacted electric industry restruring, including a competition
requirement for industrial and large commercial customers of both PacifiCorp and Portland
General Electric Company. Under the legislation, referred to as SB1149, PacifiCorp is also
required to unbundle rates for generation, transmission, distribution and other retail services, and
to offer residential customers a cost-of-service rate option and a portfolio of rate options that
include new renewable energy resources and market-based generation. Finally, SB1149
authorizes the OPUC to make decisions on certain matters, in particular the method for valuation
of stranded costs/benefits if customers elect market access.
Implementation of SB 1149 began March 1 2002, when PacifiCorp provided all customers with
a cost-of-service rate option for an indefinite period and allowed industrial and large commercial
customers a choice of energy provider. As a result of adopting SB 1149, 16 customers elected an
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Ch 3 - Risk and Uncertainties
alternate choice to cost-based standard offer tariffs. Only one large PacifiCorp customer elected
market access in the choice window that closed in December of 2002.
PacifiCorp s Approach to SB 1149
Implementation of SB 1149 affects both the MSP and IRP processes. PacifiCorp continues to
participate in the on-going PUC proceedings to establish the rules and procedures related to SB
1149. SB 1149 requires that
Electric companies must include new generating resources in revenue requirement at market
prices, and not at cost, and such new generating resources will not be added to an electric
company s rate base even if owned by the electric company;
Suggested revisions and interpretations of this rule generated much discussion and little
agreement between parties in the recent OPUC rulemaking such that the Commission determined
that further review of the issues surrounding the rule should occur in an investigation docket.
PacifiCorp s current multi-jurisdictional regulatory rules do not allow the Company to make state
specific resource decisions. This issue is being addressed in the MSP. As such, it is not clear at
this time how the SB1149 rules can be met without either a change to the multi-state regulatory
processes or a change in the SB1149 rules themselves.
In addition when parties opt out from service by PacifiCorp they must pay a stranded cost/benefit
charge. One proposal discussed in the recent rulemaking was that customers should have a one-
time chance to opt out with no stranded cost/benefit charge. Discussions with parties on this
proposal are continuing. A durable solution coming from the MSP regarding rights and
responsibilities for the Company s supply resources, which are currently shared across states
will be necessary to address the prospect of freed-up resources associated with SB1149
implementation.
Treatment In The IRP Model
A stress case was developed to determine the possible impact to the system if several industrial
and large commercial customers chose another energy provider under SB1149. The major
assumption for this stress was that 400 MW of flat load would leave our service territory in
Oregon in July 2003. Study details and the associated findings are available in the Stress Testing
section of Chapter 7.
RISK ASSESSMENT
Because of the fundamental differences between the risk categories, results of the risk analysis
can not be combined into a single number. Instead, PacifiCorp has chosen a hybrid approach
which begins with Stochastic and Scenario risks being evaluated and reported as separate
metrics. Therefore, several risk measures characterize each portfolio. It is likely that no single
portfolio will rank highest in all risk categories. As a consequence, the methodology will not
necessarily result in identifying a single optimal portfolio. However, the methodology does
result in weeding out obviously bad portfolios and motivates a more focused discussion over
competing portfolios that have different risk merits. The risk metrics are part of a mosaic
approach used to ultimately choose the portfolio characteristics to be pursued by the IRP.
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Ch 3 - Risk and Uncertainties
RELA TIVE IMPORTANCE OF RISK CATEGORIES
Prudence requires developing a framework that will embrace all flavors of risk. However, the
merit of each risk category changes as time goes by. In the past, risk associated with the electric
utility business was dominated by quantifiable but difficult to probabilistically represent
Scenario risks. During the periods of transition such as the one the industry is going through
today, the most serious of concerns often fall in the domain of Paradigm risks. When electricity
markets reach maturity, the Stochastic risks will likely prevail.
The significance of Stochastic risks should not be underestimated. It may seem that deviations of
random (stochastic) variables, added on top of each other
, '
wash-out'. However , statistics tells
us that this is only the case when such variables are perfectly, negatively correlated. Because of
this, the "jaws of uncertainty" in PVRR broaden with time. Alternatively stated, outcomes
become increasingly uncertain as time progresses.
This effect is exacerbated by the non-linear dependence of PVRR on risk factors. The
dependence causes the distribution of possible outcomes to be skewed. Understanding the nature
of this skew is important. On a year-to-year basis, skewed distributions imply the occurrence of
many, slightly smaller than expected PVRRs. More importantly, they also imply that less
frequent, dramatically high PVRRs can be expected. The graph in Figure 3.3 illustrates the
impact of a skewed distribution vs. a symmetrical distribution.
- 51 -
Ch 3 - Risk and Uncertainties
Figure 3.3 Probability Density
The results of the risk analysis presented in Appendix I show only seemingly moderate
differences among the portfolios. In fact, the differences are hundreds of millions of dollars in
size, but seem moderate since the resource additions considered by any of the portfolios are
moderate compared to the size of the existing PacifiCorp system. Therefore, the differences
between the portfolio risk profiles are camouflaged by the size inertia of the system. This
however, will not always be the case as electricity demand grows and the old electricity plants
get decommissioned.
CUSTOMER AND SHAREHOLDER RISKS
Assessing and categorizing risk is important component of the IRP analysis. Such assessments
attain greater meaning when the holders of the risk are identified. Identification is valuable
analytically. It is also an important element of the IRP standards and guidelines. For example
the Utah IRP standards and guidelines include the following requirement:
Identify which risks will be borne by ratepayers and which will borne by shareholders.
Based upon recent discussion with Utah commission staff, the first question stems from two
Issues.
1. Is PacifiCorp s participation in the market or in resource development for the benefit
customers only, or also for the potential benefit of shareholders? If benefits accrue to both
customers and shareholders, a clear understanding of risk allocation is critical.
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Ch 3 - Risk and Uncertainties
2. If PacifiCorp mitigates regulatory risks through the IRP (such as risks associated with
normalized costs), are costs borne by ratepayers to reduce shareholder risk?
Customers vs. Shareholder Risks
Under the regulatory compact, PacifiCorp provides cost-based electric service to retail
customers. The IRP addresses the resource actions required to meet this obligation. The IRP
exclusively focuses on resource actions required to meet PacifiCorp s obligation to serve retail
customers. The IRP does not contemplate resource additions or market activities directly
benefiting shareholders or parties other than retail customers in existing jurisdictions served by
PacifiCorp.
To the extent PacifiCorp shareholders implement the IRP by prudently investing capital to
provide low-cost, reliable service, shareholders have the opportunity to earn a fair, regulated rate
of return, subject to ratemaking in the regulatory process. Thus, the sole shareholder benefit
opportunity from the IRP is the opportunity to earn the allowed rate of return on any investments
resulting from the plan. Consequently, risks borne by shareholders associated with
implementing the IRP can be categorized as regulatory risks, as discussed below.
Shareholder Risks
Under perfect regulation, if PacifiCorp makes prudent investments, the investments as well as
associated and reasonable expenses would be allowed fully into rates on the plant in-service date
without any lags or adjustments. However, the system is not perfect in this sense and regulatory
risks are borne by shareholders. These risks include:
Lag - delayed recovery of the investment measured relative to incidence of investment
Allocation Gap - overlapping regulatory authorities or conflicting regulatory rules that do not
allow all prudently incurred investments into rates.
Normalization - certain costs which are normalized in ratemaking are actually incurred at
higher than expected levels, during a period in which rates are not adjusted
Disallowances - investment costs and associated expenses are disallowed because they are
deemed to have not been prudently incurred at reasonable levels.
Two of the above regulatory risks borne by shareholders are examined in the IRP: (1) the
Allocation Gap risk and (2) normalization risk for certain costs for a period of at least some
duration in ratemaking.
Allocation Gap risk is a Paradigm Risk. It is faced by both PacifiCorp s shareholders and
customers. This risk is being addressed through the MSP process and a solution is critical for
resource plan implementation.
Normalization is used in ratemaking. Certain costs are normalized over the period in which rates
are set. Such costs include, but may not be limited to:
Forecast power prices
Fuel costs
Forecast load
Hydroelectric availability and
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Ch 3 - Risk and Uncertainties
Thermal outage rates
If abnormal (and potentially non-recurring) events occur in a cost that is normalized, the risk
(potentially a cost or benefit) is borne by shareholders. Extraordinary events in these areas may
or may not be expected to continue to be borne by shareholders. However, changes in the trend
of expectations may over time be shifted to customers by adjusting the normalized value in the
succeeding rounds of rate making proceedings.
The Stochastic Risks quantified in the IRP translate into normalization risks in ratemaking.
Consequently, over time, the risk is shared between shareholders and customers. This sharing
can be understood in terms of two time frames. Over a multi-year time frame, the ratemaking
process will respond to the volatility of portfolio operating costs by either increasing rates if
operating costs rise or decreasing rates when operating costs decline. In this time frame, these
risks are borne by customers. In a shorter, between-rate-cases time frame, normalized rates do
not respond to operating cost variations and such risk is borne by shareholders.
Minimization of Stochastic Risk was not a key driver in the IRP portfolio approach. Among the
best performing portfolios, the exposure to Stochastic Risks, described in Chapter 7, is indeed
very similar. The Paradigm Risks and the CO2 Scenario Risks received particular consideration
in the risk evaluation and contributed more to the conclusion to pursue a diversified portfolio
approach.
Customer Risks
Customers face all of the risks evaluated in the IRP, including the Stochastic, Scenario and
Paradigm Risks. As noted above, shareholders share some of the risks, notably normalization of
Stochastic Risks and certain Paradigm Risks, including MSP. Customer risk associated with
failure to solve MSP problems takes the form of inability of PacifiCorp to deliver the optimal
portfolio option due to cost recovery problems or to be able to do so only at a higher cost (either
capital expenditures, fuel costs or other variable costs). The customer perspective on these risks
should be the driving criteria in determining the best resource strategy to pursue on behalf of
these customers. PacifiCorp believes the IRP Action Plan, detailed in Chapter 9, strikes the best
prudent balance between cost and risk on behalf of its customers.
Customer Risk Tradeoff
A fundamental risk tradeoff borne by customers is the tradeoff between serving resource needs
through generating assets versus serving the needs through market purchases. Resourcing
through generating assets assumes assets are owned by PacifiCorp. Resourcing through market
purchases assumes resources are secured through long-term firm or unit-contingent power
purchase agreements (PPAs) with the purchase costs determined by cost formula.
9 There may also be an asymmetry to normalization risks borne by shareholders because, under regulatory
treatment, the magnitude of net power cost upward excursions are virtually unlimited while the magnitude of
downward excursions is limited by the high probability that low prices will remain positive.
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Ch 3 - Risk and Uncertainties
For the purpose of highlighting this trade-off, consider this comparison of two strategies for
resource planning: a Short Assets (relying on market purchases to meet load obligations) and a
Long Assets (Building Assets or the above described firm or unit contingent PP As tied
specific assets).
The risks and benefits of these two strategies can be summarized in the following categories:
Electric Prices, Loads and Fuels
Electric Price Risk
The Short Assets strategy includes volatility around market price as a risk. Lower power prices
would be a benefit to customers, while higher power prices would be a disadvantage to
customers. Such a strategy brings greater rate fluctuation. Normalized prices used in rate cases
would fluctuate annually with higher than normal or lower than normal prices. Another risk to
customers is supplier risk, including both credit risk and performance risk.
A benefit of a Long Assets strategy is the price stability associated with non-reliance on market
purchases. It is a form of insurance against price volatility, but as with most insurance, it comes
with the cost, or premium, which is the embedded cost of the assets. There is also a risk to the
Long Assets strategy if the normalized market price falls below the embedded cost of the new
resource. Here the customer pays more than what market could provide under a Short Assets
strategy. Another risk to customers is operations risk.
Load Risk
The Short Assets strategy is beneficial when loads unexpectedly decline or when expected load
growth fails to materialize. In such instances the cost of embedded resources do not need to be
spread across a smaller number of customers. Conversely, if load increases more than
anticipated, PacifiCorp would be even shorter. PacifiCorp would have to rely more heavily on
market purchases, which may result in higher net power costs. Higher net power costs translate
to higher rates through electric price risk discussed above. However, surplus energy may have to
be sold (which could be good if prices are high or bad if prices are low).
One of the benefits of a Long Assets strategy is that if load increases, there are more assets to
cover load growth and less reliance on the market. The risk, however, is that with lower-than-
expected load, there is less need for already-newly-built assets, and the embedded cost of the
new resources will have to be redistributed across a smaller number of customers thus resulting
in higher prices. Of course planned, but unbuilt resource acquisitions can be cancelled if load is
lost.
Fuel Risk
As was discussed above, fuel risks are normalized in ratemaking. Therefore, customers and
shareholders share this risk. The element of fuel risk borne by customers varies with resource
strategy, as follows:
Short Assets - To the extent reliance is on Short Assets, there is not a direct Fuel price risk.
However the risk is present. It resides in the market prices paid for power. Customer
performance risk still exists (as a fuel risk dependency) since the customer bears the fuel risk.
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Ch 3 - Risk and Uncertainties
Long Assets - The type of new asset would have an impact on the fuel price volatility, which
impacts customer rates.
Wind - no fuel and, thus, no market price volatility. Therefore, customers face no variable
fuel price risk. . However, availability of wind could be a variable affecting rates.
Coal - relatively stable fuel prices. Therefore customer rates would marginally be affected
by changes in fuel price.
Natural gas - inherent price volatility. Portfolios heavy in gas carry greater fuel price risk
which could either benefit or disadvantage customer rates.
Plan Cost Effectiveness
The Utah IRP standards and guidelines also call for an evaluation of cost-effective resource
options from the perspective of both PacifiCorp and the different reatepayer classes.
Understanding risk apportionment is one important element in the evaluation. Another is
assessing the relative cost-effectiveness of the resource plan from the perspective of the utility
and the different customer classes.
All customer classes share the same fundamental interest in electric service, i., it needs to be
low cost and reliable. In general, customers face the same risks associated with selecting a
resource plan strategy. It is equally presumed that the relative cost-effectiveness of the resource
options is the same across customer classes. This presumption deserves one important caveat.
Some customers (e., large industrial customers) may tolerate a lower reliability and favor a
lower cost (or riskier) approach to power supply. This issue is addressed in ratemaking and with
interruptible tariffs, and is not addressed as a resource planning issue. The IRP is based upon
providing system-wide firm service with a reliable, low-cost system.
The customers will receive all the benefit of a successfully implemented IRP by receiving low-
cost, stable cost, reliable, and well risk-managed power supply. Other than the opportunity to
earn a fair rate of return on shareholder investments, subject to regulatory risk as discussed
above, PacifiCorp s shareholders are neutral to the IRP decisions. The choice of resource
strategy should be driven by customer interests and should seek the best available balance
between cost and risk in meeting power supply needs. Lower risk options tend to impose higher
fixed cost "insurance premiums" while higher risk options tend to impose lower "insurance
premiums . The IRP risk analysis is primarily focused on striking the right balance to service
this customer interest
CONCLUSION
PacifiCorp faces a wide variety of risks. These risks are inherently linked to the development of
the Integrated Resource Plan. Given their distinct nature, different categories of risk receive
different treatment within the plan.
Stochastic Risks, with an expected distribution of random outcomes are addressed directly by an
analytical approach employing a Monte Carlo simulation. Scenario Risks do not have a
- 56-
Ch 3 - Risk and Uncertainties
predictable behavior but can still be reasonably represented by parameters in an analytical model.
Paradigm Risks do not naturally fit a mathematically driven model and are treated separately.
Planning requires thoroughly understanding the Paradigm risks, cogently monitoring their
development and structuring the plan to maintain the flexibility necessary to respond to them.
Risk modeling efforts capture and emulate Stochastic risks while representing and testing
reasonable ranges for Scenario risks. The results are then interpreted in light of relevant
Paradigm risks. By addressing each of these categories of risk, the IRP modeling efforts provide
the framework for sound decision making. The next chapter describes this modeling framework.
- 57-
Ch 4 - Analytical Approach Used in IRP
ANALYTICAL APPROACH USED IN IRP
OVERVIEW
The main analytical objective in IRP is to compare the cost (measured as PVRR) and
performance (risk or variability ofPVRR) of various resource plans. This Chapter highlights the
analytical framework used for the IRP. It also describes the methodology for finding the
portfolio( s) performing best under a range of possible futures. The information drawn from this
analysis, summarized in Chapter 7 , will help identify near term actions consistent with the best-
performing portfolios.
STEPS IN ANALYSIS
The analysis involves a number of distinct steps.
Portfolio Development: The first step is the formulation of resource portfolios and the
selection of modeling assumptions. Formulating the portfolios requires specifying the types
and timing of resource additions such that anticipated loads are reliably served. Portfolios
were chosen to span a complete range of likely resource strategies. Detailed assumptions are
listed in Appendix C.
Operational Simulation: Next, the operation of each portfolio is simulated. The simulation
develops a base or reference view of the future. In so doing, this step requires calculating the
operating costs of the integrated system (both the portfolio additions and the existing
resource system) and other performance characteristics under a representative set of
assumptions about the future.
Cost Analysis: Each portfolio s system operating costs are then combined with the
corresponding capital costs, yielding the PVRR, the main cost metric.
Screening: The PVRR and other measures of a portfolio s performance allow a screening or
winnowing of portfolios, while highlighting those with the most promising performance
(lower costs). Focusing only on portfolios that survive this winnowing allows risk analysis
to be performed on the most promising portfolios.
Risk Analysis & Stress Testing: The risk analysis simulates the performance of a portfolio
under a large number of possible futures. The risk analysis also allows conclusions to be
drawn regarding each portfolio sensitivities to assumptions about the future and
assessments to be made regarding the variability of a portfolio s cost (see Chapter 3).
The following sections provide a brief summary of each of these analytical steps. More details
on the models and methods used in this analysis are provided in Appendix J. Figure 4.1 provides
a high level diagrammatic representation of the IRP development process.
- 59-
Ch Analytical Approach Used in IRP
Figure 4.1 Analysis Process
Legend
Input:
Model (:::Ji
Output
Iterative Process
Portfolio Development
Constructing portfolios was a process of assembling system and market assumptions, estimating
PacifiCorp s short position and choosing which portfolio resources are added each year to serve
it. The first two boxes illustrated in Figure 4.1 represent this step.
Determining the short position began with the base demand growth forecast and the profile of
energy needs. The profile combined with existing resources illustrated PacifiCorp s expected
short position.
The resources described in Chapter 5 served as the set of building blocks from which each
portfolio was constructed. The expected costs of each base-load, intermediate and peaking
resource were used to create screening curves, guiding the selection of each building block.
Helping fit the most economical resource to the shape and duration of the existing short position
the screening curve served as a simple but highly effective tool to minimize portfolio costs.
- 60-
Ch 4 - Analytical Approach Used in IRP
Figure 4.2 Sample Resource Deployment Curve
Load Duration
4500
Peaking Resources
4000 -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3500
~ 3000 Intermediate Gas
2500
Base Load
2000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - -
1500
, "'" ,,""" "" "'"~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
0 ~ N ~ 0 M ~ ~ ~ M ~ ~ ~ ~ ~ ~ ~ ~ ~ M ~ ~ ~ ~ ~~ ~ N N N N M M M M ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
% of hours per year
As illustrated in the figure above; the selection of building blocks depended upon the size and
duration of the short position. Large, long duration short positions were filled with base load
resources (coal and/or CCCT gas), since resource screening curves show these are the lowest
cost resources when required to operate at high capacity factors. Smaller short positions were
filled with intermediate gas resources. Finally, the remaining short position was filled with
peakers. This process was repeated every year until the portfolio was completed.
Building a portfolio was not merely a process of randomly adding resources. Guidelines were
established to bound portfolio development. For example, resources were added to limit
expected spot purchases to 5% or less of each year s hours. Furthermore, a required planning
reserve margin was used to determine any additional capacity resource requirements. A 15%
planning reserve margin was used as primary criterion. An alternative of 10% was also tested.
Appendix J summarizes the decision process leading to the 5% and 15% limitations.
During the public process surrounding the development of this IRP, significant discussion
around "automatic resource addition logic" occurred. PacifiCorp recognizes the potential merit
of automatic resource addition logic. The lessons learned from this portfolio building exercise
may allow PacifiCorp to include such logic in the next iteration of this IRP. Clearly such logic is
complex and for it to be a value adding exercise, much more than construction of a resource
addition stack dependent on dispatch cost is required. PacifiCorp is committed to exploring the
addition ofthis logic in the next IRP.
As a result of the resource addition guidelines, each portfolio of new contracts and generation
covered much of the anticipated short position. Market purchases satisfy any remaining short
position. These guidelines served to constrain PacifiCorp s exposure to volatile wholesale
electricity markets.
- 61 -
Ch 4 - Analytical Approach Used in IRP
While each portfolio differed, groups of portfolios tended to share common characteristics. The
following categories evolved:
PacifiCorp Build
TransmissIOn
Diversified Generation
Renewable
All-Gas
Details regarding the portfolios and categories are available in Chapter 6. A detailed, step-by-
step description of the portfolio development process can be found in Appendix K.
Operational Simulation
With candidate portfolios assembled, PacifiCorp simulated the combined hourly operation of its
system and the additions. For this purpose, PacifiCorp employed PROSYM, a detailed hourly
operations simulation model. PROSYM provides a very precise analysis ofresource interactions
and the resulting operating costs. Accordingly, the PROSYM box in Figure 4.1 represents this
step. Details regarding the PROSYM model can be found in Appendix I.
Before providing output, the model first consumes enormous amounts of data. This kind of
resource modeling requires very detailed information including:
Transmission constraints
Market price forecasts
Market price variability
Resource operating characteristics, and
The hourly shape of demand
Assumptions for these inputs are important. Changes in each can make a large difference.
Market price forecasts begin with PIRA Energy s long range forecast of natural gas prices.
PacifiCorp s fundamental WECC market model, MIDAS, uses the gas forecast to generate
forward electricity prices. Details of the MIDAS model assumptions and methods are described
in Appendix I. Assumptions regarding transmission as well as existing and proposed resources
are listed in Appendix C and Chapter 5 , respectively.
The above inputs are processed and the resulting operating costs are determined. PROSYM also
provides a rich array of other details. These include:
Unit capacity factors
TransmissIOn loading
Planning margin
Market purchases / sales
EmIssions
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Ch 4 - A nalytical Approach Used in IRP
Combined with operating costs, these factors provide valuable information as to how
successfully a portfolio meets its intended purposes. Scorecards, detailed in Appendix E
consolidate and summarize the cost output ofPROSYM.
Cost Analysis
Operating costs represent only part of a portfolio s cost profile. . An accounting for capital costs
must also be made. Capital costs are a function of the kinds of resources in each portfolio and
the timing of their addition.
A simple discounted cash flow model combines the capital and operating costs and calculates the
PVRR of each portfolio. Reallevelized capital was used in the revenue requirement calculation
to allow reasonable life cycle cost comparison. (See Appendix K for more details on levelized
vs. nominal capital costs.
Screenin2
With the completion of the previous steps, we obtain a detailed representation of each portfolio.
series of summaries, called scorecards, are assembled for comparative purposes. The
scorecards provide comparisons of each portfolio
PVRR
Capital Costs
EmIssions
Market Purchases
Market Sales
Unit Capacity Factors, and
Transfers
Using the portfolio scorecards, PacifiCorp narrowed the list of candidate portfolios for stress
testing, risk performance measurement and other general analysis. Selected portfolios had
superior PVRRs and preferred operating characteristics. Portfolios meeting the 15% and the
10% reserve margin standard were selected, so as to analyze the effect of this significant
planning choice.
Risk Analysis and Stress Testin2
The narrowed list of portfolios was analyzed to assess their risk characteristics. Many of the
characteristics necessary to simulate operations and calculate net electricity cost are uncertain.
PacifiCorp analyzed the effect of varying these Stochastic Risks using the MarketSym model.
MarketSym develops a large number of scenarios using a statistically valid sampling of the risk
parameters. Parameters are randomly varied based on our understanding of the correlation
among them as well as their expected values and variability through time. 100 such scenarios
were used to test the performance of the portfolios and provide a detailed picture of portfolio
performance over a wide range of environments.
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Ch 4 - Analytical Approach Used in IRP
Like PROSYM, MarketSym used a detailed hourly dispatch simulation. Unlike PROSYM, the
model varied the input risk parameters. Also, to obtain required computational speed, the model
employed a simplified transmission representation.
In addition to modeling stochastic risks to observe portfolio performance, several Scenario Risk
parameters were modified for the purpose of stress testing the portfolios. Such testing provided
performance information over a range of assumed circumstances and allowed the modeling of
the impact of parameters without inherently definable, randomly moving characteristics.
A detailed description of each of the risks and the manner it was addressed is available in
Chapter 3.
OPTIMIZA TION
The IRP's analytical process was, in part, an exercise in portfolio least cost optimization. The
convergence of different portfolio PVRRs and rapidly decreasing cost improvements associated
with recent modifications, presented later in Chapter 7, are clear signs that portfolios are
approaching, if they haven t already attained, optimality. While the results of the optimization
process are apparent, the presence of the optimization process may not be obvious. The
information below summarizes some of the procedures, rules and heuristics employed in this
process.
Portfolio Screen in I! Curve
Discussed earlier in this chapter, portfolios were constructed to fit PacifiCorp s short position.
Individual resources were selected according to a screening curve such that segments of the short
position were matched with the most cost effective resources to serve them. Figure 4.
illustrates the approach.
The screening curve was a powerful first step in the optimization process. The curve served to
remove obviously impractical resource solutions from consideration and dramatically reduced
the number of model runs needed for the analysis.
Theories and Themes
Pursuant to the screening curve, various resource theories and themes were tested. Chapter 6
summarizes the major areas of research which include:
The effect of altering the order of gas and coal plant installation
The impact of using coal vs. gas for base load resources
The value of replacing base load gas resources with multiple, highly flexible peakers
The effect of altering the timing of base load installation
The value derived from purchasing contracts vs. resource development.
The benefit of adding and removing renewable resources.
The value of greatly expanding East-West transmission links
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Ch 4 - Analytical Approach Used in IRP
Portfolios within these themes were modified and improved through an iterative process, serving
to identify and eliminate less desirable characteristics. Accordingly, numerous portfolios were
generated and tested. For the sake of time and space Chapter 7 and Appendix E list and describe
22 of the major portfolios tested. Detailed discussions are limited to the top four Diversified as
well as the Renewable portfolios.
Operational Sienals
The model simulated portfolio operations and summarized the results. The operating results
provided insight into each portfolio s dispatch profile. They also signaled the presence of
inefficient operation. In light of such signals, portfolios were iteratively modified and re-run to
produce lower cost configurations.
The following items provide examples of some signals:
. Low capacity utilization factors signaled surplus capacity and suggested the elimination or
postponement of resource additions.
High market purchases signaled a potential under-build of resources.
High emissions costs signaled sensitivity to Scenario Risks like CO2 taxes and suggested
modifications and stress tests.
Cost and Risk Analysis
Successful portfolios presented superior cost and risk results. As different portfolio
configurations were exhausted, themes with consistently inferior results were eliminated from
further consideration. For example the Peakers portfolios (replacing gas base-load with peaking
units) as well as the Transmission portfolio strategies consistently diverged from the PVRRs of
the top portfolios.
Industry Expertise
Perhaps the most important element of the optimization process is the industry and operating
experience employed in the development and testing of the portfolios. The modeling process
drew upon the experience of individuals inside PacifiCorp. It also drew upon a wealth of
intellectual capital outside PacifiCorp through consultants and the public process. Such
experience helped identify and overcome operating constraints and capture system benefits in the
simulations. It also helped identify portfolio flaws as well as intuit promising areas of research.
Con vereence
The clearest sign of the success of an optimization process is convergence. Convergence within
the IRP is revealed into two ways.
I. Recent, successive iterations provide decreasing, if any, additional cost benefits. Such a
progression would be expected as portfolio configurations approach or achieve optimality.
2. The cost and risk differences between top portfolios collapses. As representatives of
different, surviving portfolio categories individually approach an optimum, it is expected that
the cost and risk differences between the different portfolios collapse.
- 65-
Ch Analytical Approach Used in IRP
CONCLUSION
PacifiCorp performed a thoughtful and comprehensive analysis. The analysis began by
constructing various portfolios of new resources and then simulating their performance within a
model of PacifiCorp s system and operating environment. From this analysis, PacifiCorp
obtained detailed information regarding each portfolio s costs, performance and risk
characteristics. The output was used by PacifiCorp to draw conclusions about strategies with the
best cost and risk profiles and naturally leads to the development of a plan of action.
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Ch 5 - Resource Alternatives
RESOURCE AL TERNA TlVES
OVERVIEW
There are a large number of demand side and supply side options that could be used in filling the
gap between PacifiCorp s known resources and prospective load obligations. Prior PacifiCorp
resource plans have discussed many of these options. This Integrated Resource Plan will focus
on the candidate options that are known and are considered as realistic, feasible alternatives for
balancing resource supply with electricity demand. Key resources that may be economical and
could feasibly be developed by PacifiCorp to meet its needs include:
Demand side management programs
. New generation investment or purchase based on energy sources such as:
Wind
Coal
Geothermal
Combined heat and power
Fuel cells
Natural gas (peaking and combined cycle units)
Repowering or expanding existing PacifiCorp resources
Market purchases
Shaped products
Transmission
DEMAND SIDE RESOURCES
A number of influences can cause customers to use electricity more efficiently or to use
electricity at non-peak periods. Pricing structures and education can encourage customers to use
electricity wisely in their homes and businesses. For the purpose of this IRP, the candidate DSM
programs are limited to specific programs that provide financial support to encourage activity
that will result in long-term reduced consumption or short-term curtailment.
There are three general sources of DSM resources evaluated in this plan:
Programs that are currently running or programs in which detailed evaluations have been
completed. This analysis resulted in programs that have identified value in $/MWh. This
resource stack" ofDSM programs is listed in Appendix G, Table G.
. Future, as yet unidentifed, DSM opportunities that were determined through stress analysis to
the final IRP portfolio using a "decrement approach." This analysis is described in detail in
Appendix G.
. DSM which the Energy Trust of Oregon (ETO) currently has plans to achieve. Table 5.
provides an overview of the ETO targets.
- 67-
Ch 5 - Resource Alternatives
Table 5.1 Energy Trust of Oregon Projected DSM Achievements (MWa)
In Oregon, SB 1149 requires that investor-owned electric companies collect from all retail
customers a public purpose charge equal to 3% percent of revenues collected from
customers. Funds raised through this channel will be spent on energy conservation, new
market transformation efforts, above-market costs of new renewable resources, and low-
income weatherization. The Energy Trust of Oregon (ETO) was set up to determine the
manner in which public purpose funds will be spent. The ETO currently does not have
programs up and operating at a level to achieve the goals listed above. The base Oregon load
forecast in this plan does account for past DSM activity continuing forward. Over the last 4
years, PacifiCorp s DSM activities in Oregon have resulted in more than 6 MWa per year of
DSM.
Classes of DSM
DSM programs vary in their dispatchability, firmness of results, term of load reduction benefit
and persistence over time. For purposes of this IRP and for communication clarity when
discussing DSM, these programs are being divided into four general classes:
Class 1
Fully dispatchable resources: Load reduction only occurs when actively controlled by
PacifiCorp. Once the customers agree to participate in a Class 1 DSM program, the timing and
persistence of the load reduction is involuntary on their part within agreed limits and parameters.
This type of DSM could affect business economic output.
Examples include residential and commercial central air conditioner load control, irrigation load
control, electric water heater load control, interruptible tariffs (facilitated by an under-frequency
relay or other utility control system).
Class 2
Non dispatchable, growth neutral: Energy and capacity savings that have been achieved through
a technological improvement in appliances, equipment or structures. Savings will endure for the
life of the installed system. This type of DSM does not negatively affect business economic
output.
Examples include programs that add an incentive to customers to replace existing (or to upgrade
new construction) customer-owned equipment to more efficient lighting, motors, air conditioning
systems, etc. Program examples include the Energy FinAnswer, more energy efficient vending
machines (Vendmiser) and the Compact Fluorescent Bulb Giveaway.
Class 3
Non dispatchable; buydown: Short duration (hour by hour) energy and capacity savings that are
achieved through actions taken by customers voluntarily, based on a financial incentive provided
by the Company with hour by hour load reduction results measured on an individual customer
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Ch 5 - Resource Alternatives
basis. This type of DSM could negatively affect business economic output. Load reduction
endures only for the duration, in hours, of the incentive offering. Permanent facility and
equipment changes or improvements are not made. There is no persistence in the load
reductions.
Examples include the Energy Exchange program, curtailable tariffs, or real-time pricing
Class 4
Non-dispatchable, conservation education: Energy and capacity reductions achieved through
behavioral changes. Specific program results cannot be relied upon for planning purposes.
Long-term, persistent changes will be seen in historical load growth pattern changes over time.
Examples include Power Forward, 20/20 Customer Challenge, public education and awareness
programs that promote energy-reducing methods such as conservative thermostat settings
turning off appliances when not in use, and inverted block and time-of-use pricing structures.
Future Pro2rams
In addition to existing DSM programs listed in Chapter 2 that will be considered for expansion
new programs under consideration include:
Residential
Class 1
Central electric air conditioner load control
Irrigation load control
(residential and small commercial)
Class 2
Comprehensive residential cooling efficiency. Promote use of fans, evaporative cooling, and
high-efficiency air conditioning above federal standards.
Appliance recycling - Early replacement of old refrigerators and elimination of second
refrigerators.
Energy Star appliance promotion - promote Energy Star appliances which includes incentives
for efficient clothes washers that save energy and water.
. "
Best practice" AC servicing program to provide targeted tune-up of cooling systems.
Nonresidential
Class 1
Central electric air conditioner load control
Irrigation load control
Class 2
Retrofit Building Commissioning - a process for "tuning up" systems in buildings and getting
them to work properly, thereby improving the energy performance and comfort in existing
buildings.
Expansion of Energy FinAnswer program.
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Ch 5 - Resource Alternatives
Class 3
. New commercial and industrial interruptible, curtailable tariffs and real-time pricing.
In addition to these specific potential programs, we are modeling further decrements to the load
forecast in the IRP model to determine the value of additional load reductions at various load
factors. Further program designs will be considered and the model re-run with these actual
program load decrements. Further description of this decrement approach is contained in
Appendix G.
SUPPLY SIDE RESOURCES
For the purpose of modeling portfolios, PacifiCorp has identified a list of prospective resources
for balancing resource supply with electricity demand based on options uniquely available to
PacifiCorp. Table C.18 in Appendix C lists these resources and their specific operating
characteristics.
Candidate Supply Side Resources Used in the IRP Analysis
Utah Coal Options
The addition of a fourth unit (Hunter 4) at the existing Hunter Plant in central Utah was selected
to represent a state of the art pulverized-coal plant option for the IRP. Hunter 4 would use the
latest available emission control technology for SO2, NOx, and particulate. This unit would
remove more than 97% of the SO2 produced and would incorporate Selective Catalytic
Reduction (SCR) to control NOx emissions to less than 0.08 lb. NOx/mmBtu. The Hunter site is
presently viewed as an excellent company owned location for an additional unit because the
existing units already there would lend supporting infrastructure (substation and transmission
included) and manpower to its operation. It is also close to sufficient coal resources to fuel the
unit.
The Utah Greenfield PC represents a new coal plant at a completely new generation site in the
Utah area. Costs for the greenfield facility are based upon a two unit plant (to achieve
economies of scale) using the Hunter 4 design. These costs are higher than those of Hunter 4
simply because of the inability to use common facilities, as compared to the common facilities
already existing at the Hunter Plant.
IGCC is a clean coal technology that utilizes a coal gasification process to produce clean fuel gas
that can then be used to fuel a combined cycle gas turbine. This technology can achieve slightly
lower pollutant emission levels and higher efficiencies than a conventional coal-fired plant.
However, IGCC is only now beginning to reach full commercialization. There are a half a dozen
or so commercial plants in the world to date and most of these are fueled by petroleum residuals.
Capacity factors for these plants typically have been less than 80%. Nevertheless, work is being
done to improve their operation on both coal and petroleum residuals and progress in this area is
expected. Capital and operating costs are now higher than those of traditional coal-fired plants
but these could come down as larger economies of scale are reached. IGCC production costs in
the Utah and Wyoming areas will be further disadvantaged compared to lower elevation areas
because of elevation de-rating of the gas turbines. Most of the Utah and Wyoming coal sites are
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Ch 5 Resource Alternatives
at relatively high elevations. PacifiCorp will continue to follow this technology for future
additions as the technology becomes more established and the cost decreases.
Wyoming Coal
Because Wyoming has large quantities oflow cost coal, new conventional coal plants there are a
definite possibility. A fifth unit at the Jim Bridger Plant represents the first 500 MW plant
shown for Wyoming. Additional units would be built near the Powder River Basin coal area.
Capital costs for all of these units were derived from the design and cost for Hunter 4, a plant of
similar size. However until transmission constraints in Wyoming are removed, it will be
economically difficult to justify building a new coal plant there.
Combined Heat and Power (CHP or cogeneration)
Utah CHP was developed to represent a cogeneration opportunity along the Wasatch Front. The
Cogen-CT" CHP represents a combustion turbine generating steam for industrial purposes.
large CT is modeled. This option is dependent on the proper host and is considered a low
probability considering the industrial base in Utah. The "Non CT" case is intended to be a boiler
or waste heat application that could apply a topping steam turbine at relatively low cost.
specific candidate cogeneration sites are currently identified.
Geothermal
Renewable energy could be added to the resource portfolio with the addition of more geothermal
capacity at the Blundell Plant. The 50 MW block of electricity shown represents the cost of
adding bottoming cycle to the current Blundell Plant and then adding an additional flash and
bottoming cycle system. This is a very realistic option currently under review by PacifiCorp.
Total capacity of the Blundell Plant with the addition of the Blundell Upgrade would be about 75
MW.
Two other geothermal sites are considered for modeling purposes. These are known sites with
some development work completed and known potential plant capacity evaluated. One is a 50
MW site near the current Blundell plant in Utah. The second is a 50 MW Newberry volcano site
in central Oregon, near the city of Bend. Other sites will also be considered, as information
becomes available.
Fuel Cells
Fuel cell technology continues to improve and become more cost effective. A fuel cell is an
electricity-generating device, fueled by natural gas, that utilizes the reaction between hydrogen
and oxygen with the only by product being water. Attractive fuel cell characteristics include:
High energy conversion efficiency
Modular design
Very low chemical and acoustical pollution
Fuel flexibility
Cogeneration capability
Rapid load response.
Disadvantages include high capital costs and technological uncertainty.
- 71 -
Ch 5 - Resource Alternatives
Market Purchases/Contracts
Market Representation Assumptions
The process of developing portfolios must also contemplate supplemental access to the spot
market. PacifiCorp considered several methods for representing market purchases and sales.
Initial studies included few limitations on spot market transactions. This raised concerns
regarding the extent to which spot markets could reasonably be depended upon to meet short
duration peak deficits and to follow load during light load and shoulder hours. Exempt from such
considerations , the studies tended to undervalue load-following and peaking resources.
To better represent market limitations, the availability of market purchases was constrained. The
limitations are described in more detail below:
Three markets are represented in the model (Palo Verde, Mid Columbia, and COB)
Purchases and sales were limited at each (250 MW each at Mid Columbia and COB, and 500
MW at Palo Verde).
Transmission congestion issues and limited firm transmission rights in the East require a
transmission cost associated with reaching the Palo Verde market.
Purchases and sales into these stations have no ramp rate, minimum up time, minimum down
time, or startup cost restrictions.
The markets are meant to represent the flexibility of hourly transactions that routinely take place
on the system to help balance loads and resources. Figure 5.1 provides a graphical depiction of
the price forecast used in the modeling.
Figure 5.IRP Price Forecast - Monthly Flat , Average Prices
Price Forecast
Monthly Flat (7x24) Average Prices ($/MWh)
$100
$80
------ --- -- --
$40
$60
Transaction -Mid Transaction . - . - COB Transaction
---- - - - - - --- -
$20
('")
It)r--CJ')
o:!:o:!:o:!:o:!:o:!:o:!:o:!:o:!:o:!:o:!:
('")
o:!:
-.r
o:!:
It)
o:!:o:!:
r--
o:!:o:!:
CJ')
o:!:o:!:
- 72-
Ch 5 - Resource Alternatives
Asset-Based, Long Term Power Purchase Agreements (PPA'
All market purchases used in building portfolios are modeled as PPA's that are tied to physical
assets. These purchases are from energy merchants and other industrials offering surplus
electricity that they have available. Contracts are modeled such as would be used in real life and
are modeled to perform accordingly. Most contracts have fixed prices and are used in the heavy
demand hours; the price of several contracts tie to indices and so will dispatch based on least cost
as compared to their associated markets.
A review of WECC-wide load as compared to WECC-wide resources suggests there will be an
over-supply of generation available in the next five years. The over supply will largely be as a
result of more than 16 500 MW of new generation currently under construction (plus
approximately 15 500 MW new generation between January 2000 and August 2002). However
due to transmission constraints , additional transmission capacity would have to be built to reach
the load centers.
Shaped-Products
Several short term Power Purchase Agreements (PP As) from energy merchants and others are
available to PacifiCorp today and availability of these products is expected to continue in the
future. While not all these shaped products are explicitly modeled in the portfolios, they will be
used in the future to meet load requirements if the cost/risk balance at the time is appropriate for
the customers and PacifiCorp.
The following is a list of energy or shaped-products that PacifiCorp would consider purchasing
from credit-worthy market participants if they exist:
Call Option with fixed premium - The option buyer has the right but not the obligation to
buy energy and capacity at specific rates at a defined strike price. The buyer would exercise
this right when market prices exceed the strike price. This option provides price protection
from high prices.
Put Option with fixed premium - The option buyer has the right but not the obligation to
put, or sell, energy and capacity at specific rates at a defined strike price. The buyer
exercises this right when market prices are below the strike price. This option provides price
protection from low prices.
Swap - A swap is an exchange of cash flows between a swap seller and the swap buyer. The
swap seller owns capacity and energy at a fixed price and has exposure if market prices move
lower (a coal plant for example). The swap buyer needs energy and capacity and purchases
this requirement each day and has exposure if prices move higher (a marketer without
generation). The swap seller hedges his position by selling a notional (financial) quantity of
energy and capacity to the buyer at a fixed price. The swap allows the seller to hedge his
fixed price risk and allows the buyer to hedge his index or daily price risk.
Tolling Option with fixed premium - The option buyer has the right but not the obligation
to call, or buy, energy and capacity at specific rates at a defined heat rate multiplied by a gas
price index (energy price). The buyer would exercise this right when market price for
electricity exceeds this energy price. This option provides protection from high prices and
might be used instead of a call option with a fixed strike price.
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Ch 5 - Resource Alternatives
Straight Block Purchases (e.g. 6 x 16, 7 x 24) - Buyer has the obligation to take and pay for
energy and capacity at specific rates at a fixed price. The buyer needs energy and capacity
and purchases this requirement each day and has exposure if prices move. The buyer reduces
his floating price exposure and receives energy and capacity at a fixed price. The seller
reduces his index price exposure and sells energy and capacity at a fixed price.
Natural Gas
Natural Gas East Side
Several options exist in the Utah area for new natural gas-fired electricity plants all based on
using gas turbines. Gas turbines in the Utah area are assumed to be located at an elevation of
500 feet and would experience a de-rating of 15% from ISO values due to this elevation.
Additionally the ratings used are based on a 900 F summer type condition since Utah is a summer
peaking application.
Simple-cycle Combustion Turbines (SCCTs) are modeled. These machines are true peakers and
are represented by aero (aeroderivative) machines such as the LM6000 design from GE recently
installed at West Valley and Gadsby. These machines have high efficiency and can start within
10 minutes to qualify as spinning reserves.
The Frame machine represents another type of SCCT. These heavy-duty industrial combustion
turbines are generally larger, lower in first cost, less efficient, and have longer start times than
the aero machines. A Siemens-Westinghouse 501D5A machine was used to represent this
option. The Brownfield SCCT Frame Mona option represents this type of machine located away
from the Wasatch Front to allow installation without maximum NOx control. Not installing SCR
for NOx on this type of machine will save considerable capital cost but would most likely
involve operating restrictions in the form of reduced allowed operating hours. Limited hours of
operation may be acceptable if the machine is installed mainly for super-peak type capacity.
Combined-Cycle Combustion Turbines (CCCT) are also modeled. On the Utah side, an addition
to the Gadsby Plant is shown as either a single lxl machine or a CCCT in a 2xl configuration.
Emission controls are assumed to be Best Available Control Technology (BACT). A 2xl
configuration (two gas turbines and one steam turbine) is the best representation for a base-
loaded CCCT with a capacity factor greater than 70%. For more intermediate duty (capacity
factors between 30% and 70%) the lxl configuration will be a better application. The lxl
design will be easier to start and stop on a frequent basis and will have a quicker starting time
profile. The O&M costs for the lxl options reflect the additional starts associated with
intermediate operation.
Combined cycle equipment is also modeled with the option of adding duct firing for additional
peak capacity. This option mayor may not be available with all CCCT suppliers but has been
included to reflect the capability of the GE machines used. Duct firing will require additional
investment in gas burners and the steam turbine system. It is expected that environmental
constraints may limit the capacity factor of installed duct firing to an equivalent of 15% capacity
factor.
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Ch 5 - Resource Alternatives
Natural Gas West Side
Similar natural gas options are available on the West Side as were identified on the East Side of
the PacifiCorp system. Simple cycle and combined cycle gas turbine representative installations
on the West Side of the system have been adjusted for an elevation near the Hermiston Plant.
The equipment ratings are based on an elevation of 1500 feet, which results in a 5% derating
from ISO conditions. The 90-degree Fahrenheit rating has been maintained.
Wind
Wind generation has been represented in the IRP model for east and west control areas in two
ways. Initially, wind resources were modeled at the proposed Federal RPS level as a flat 7x24
product purchased at $50/MWh in 2002 dollars, escalating at inflation in all the IRP Portfolios.
This rate includes obtaining any tax benefits in the negotiated price from the developer as well as
an assumption regarding integration costs, capital, O&M, and transmission. Estimates are
included in Appendix L. Table 5.2 provides an overview ofthe planned build up of the RPS.
Table 5.2 The planned build up of RPS over the period 2005 to 2013
Year 2005 2006 2007 2008 2009 2010 2011 2012 2013
% of Resources 1.0 1.6 3.4
Cumulative MW 186 318 414 546 687 834 981 146
(Capacity)
All of the final portfolios contain wind resources that were modeled with representative wind
electricity production shapes according to site location. The hourly wind sites were created on
simulated historical hourly generation data from State line and actual historical data from Foote
Creek. These two data streams were modified by lagging by one hour and moving data ahead
one hour to create four new data ranges for the model. The two Stateline streams were added
together and then sized to the maximum capacity of the Yakima and Bend sites in the West with
a capacity factor of 32%. The two new Foote Creek sites were combined and prorated up to the
maximum capacity of the Evanston and Tooele sites in the East control area with a 36% capacity
factor. A single year of hourly generation was repeated over the 20-year life of the study.
Further information is still required on the actual quality and location of sites.
The cost of installed wind capacity is based on the latest Northwest Power Planning Council
(NWPPC) estimates of $1 OOO/kW. Total $/MWh costs are sensitive to expected capacity factor
which are modeled as described above, and include fixed O&M, transmission, system integration
costs, the production tax credit, and green tag value. Further detail on system integration and
pricing can be found in Appendix L.
For modeling purposes PacifiCorp assumes it can take advantage of Federal wind energy tax
credits, a wind energy production tax credit applied to energy delivered, when the company
builds and owns new wind generation projects and produces electricity. Whether PacifiCorp can
or cannot take full advantage of these production tax credits in any given year depends upon the
company s tax situation in that year. PacifiCorp from time to time may be subject to the
alternative minimum tax which would limit its ability to fully use tax credits. The wind energy
tax credit can be carried forward; however, this results in less value from the tax credit because
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Ch 5 - Resource Alternatives
PacifiCorp loses the time value due to the delay in cash flow from the tax credit. The economics
of a wind facility is adversely impacted if the credit is not allowed in the year of production.
Supply Side Resources Not Used in the IRP Analysis
Certain resources listed in Table CI8 in Appendix C are not currently considered feasible for
meeting PacifiCorp s resource needs. These include nuclear resources, tidal action resources
microturbines, and others that are either not commercially available or are clearly not cost
effective based on earlier IRP analysis.
Two options that are currently not being included in IRP portfolio analysis due to cost, but are
being monitored closely for future use, include pumped storage and solar.
The pumped storage option was not cost effective based on the known location. The pumped
storage option represented in Table CI8 was a potential project near Las Vegas. This 400 MW
project would take off-peak coal-fired generation and use the energy to pump water into a
reservoir. Water from the reservoir would then be released to spin the pumps as a generator to
provide peaking electricity. The 400 MW capacity could be used about four hours during a day
under this operating scenario.
The solar options in Table C.I8 are represented by a solar thermal plant similar to Solar II that
was demonstrated in the California desert in from 1996 to 1999 with PacifiCorp s participation.
Molten salt is used as a heat reservoir to get a capacity factor of better than 63% and to avoid
equipment down time during cloudy days.
Photovoltaic projects are not listed due to the extreme cost of this technology for large electrical
production needs.
TRANSMISSION
Several upgrades and additions to the Transmission network are necessary to further optimize the
use of the network, provide greater access to market or support the addition of new assets. As
mentioned in Chapter 2, the main area of congestion on the system is Utah, therefore the focus of
this section will be on explaining the current situation in Utah and how the portfolios were built
to relieve transmission congestion issues.
The simultaneous import capability into the Utah Bubble is significantly lower than the sum of
the individual non-simultaneous path limits, as it is not possible to reach each path limit at the
same time due to loop flow. In other words the one-path limit is reached while there is
remaining capacity on other paths that cannot be realized. The Mona entry is excluded from the
simultaneous import limit total, as it ties into the center of the Utah Bubble.
Load growth further saturates the existing transmission system. Additional transmission
facilities were needed north of Mona in all portfolios to bring power into the Wasatch Front.
These additions consist of a new Static Var Compensator (SVC) at the Wasatch Front load center
for voltage support, and new breaker additions at Mona and Spanish Fork substations to "loop
" existing 345 kV lines for increased transfer capability from Mona to the Wasatch Front load
- 76-
Ch 5 - Resource Alternatives
center. These additions by Fiscal Year 2005 increase the Mona to the Wasatch Front interface
capability by 500 MW increasing the available capacity north of Mona to 1 000 MW.
The southern entries into Utah consist of three lines: Four Comers to Pinto to Huntington 345
, Harry Allen to Red Butte to Sigurd 345 kV, and Glen Canyon to Sigurd 230 kV. These lines
span southern Utah to the north, connecting to the main Utah grid at Sigurd and
Hunter/Huntington. These two network nodes interconnect to the main Utah grid, forming a
triangle with Camp Williams and Spanish Fork the entrance points into the Wasatch Front. The
three legs of the triangle are:
1. Two 345 kV lines from Hunter/Huntington to Sigurd
2. Two 345 kV lines from Sigurd to Camp Williams and one from Huntington to Camp
Williams, connecting through Mona; making Mona a natural trading hub. Two 345 kV lines
from Hunter/ Huntington to Spanish Fork to Camp Williams; the triangle depictions is as
shown in Figure 5.2.
Figure 5.2 Utah Main Transmission Triangle
Huntington/Hunter
The close proximity of Mona to the Wasatch Front makes it a practical site for building,
optimizing the capital requirement for transmission integration. This is the logic for targeting
Mona in the IRP for an additional 1 000 MW of resources. Hence, reinforcement to the triangle
was nominated to integrate the incremental addition. The Nevada market, via Harry Allen to
Red Butte is then pursued beyond the 1 000 MW capability at Mona.
Transmission facilities were also added south of Mona when additional resources were delivered
from points south (i.e. Hunter, Nevada). Such resources also require additional reinforcement to
the triangle when these southern resources plus Mona resources were in excess of 1 000 MW.
In addition to these upgrades and additions, transmission options were considered for opening up
and building greater flexibility into the system. Two DC transmission lines of 1 000 MW and
000 MW DC transmission lines were considered, which would increase the bi-directionalline
capacity between the East and West control areas.
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Ch 6 - Portfolios
PORTFOLIOS
OVERVIEW
This describes the portfolios that were evaluated based on the methodology described in
Appendix J. Each portfolio contains realistic, feasible demand side and supply side alternatives
for balancing resource supply with electricity demand. Timing and size of these alternatives are
compared between portfolios.
While the majority of the individual portfolios were developed based on the methodology that
required a 15% planning margin, a stress case was tested on some of the portfolios using a 10%
planning margin. These portfolios were developed to compare the financial, operational, risk
and customer impacts of a 10% versus a 15% planning margin. These portfolios can be
identified by the
' -
1 0%' after the portfolio name. The results of this stress will be discussed in
Chapter 7.
A detailed description of each portfolio is located in Appendix D. The tables in Appendix D
contain portfolio names, resource types, size and timing of installation, and total megawatts
installed. Transmission installations and estimated costs required for each portfolio, along with
capital costs of resources are also provided. The Appendix should be consulted for details on the
resource mix and addition dates for each portfolio.
The Chapter will begin by discussing some of the factors and metrics common to all the
portfolios that were developed. There will then be an overview of some of the observations and
conclusions that can be drawn from the portfolio development process. An overview of the first
iteration of portfolios based on portfolio category will be provided, along with the benefits
issues and uncertainties associated with each portfolio category. And finally, a discussion on
how the portfolios were further refined ("hybrid portfolios ) by taking the best of all portfolios
and combining them to achieve the least-cost solution.
COMMON FACTORS & METRICS
Several resource additions are common to all portfolios and contribute substantially to future
resource requirements. All portfolios required substantial resource additions to meet base
demand growth of 2.2% East and 2.0% West per year, on average, to replace resources that are
lost through attrition of the existing base of resources and to cover the 15% planning margin.
Total system resource additions of approximately 4 000 MW are required in the next ten years.
Additions are required in both East and West control areas.
DSM
All portfolios share base DSM investments, beginning in 2004 and steadily increase their
contributions to 146 MWa by 2013 of Class 2 DSM and 91 MW of Class 1 DSM. This base
DSM resource is included whether the system is built to 10% or 15% reserve margin. Additional
DSM resources are evaluated as stresses to the final portfolio using the decrement analysis
technique which is described in Appendix G.
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Ch 6 - Portfolios
Wind Resource Additions
The portfolios that were developed in the beginning of the analysis contained common wind
resource additions based on the levels required in the proposed Federal Renewable Portfolio
Standard (RPS). The wind additions began in 2006 and grew to about 1 150 MW by 2013, and
were modeled as a $50/MWh flat contract. A flat contract provides equal delivery of energy in
every hour of the day.
In the final portfolios, the $50/MWh flat contract was replaced with "profiled wind", i.e. wind
whose profile follows an anticipated, more realistic production shape. Under profiled wind
energy deliveries are anticipated to differ in each hour of the day. This profiled wind has been
included based solely on its economic merits.
Short-Term Purchases
All portfolios require short-term purchases to meet capacity and energy needs for the 2004-2006
period. These purchases will be secured from the marketplace. Capacity purchases of 225 MW
for summer super-peak hours are indicated for PacifiCorp s eastern control area. In the western
control area, purchases of 500 MWa of off-peak energy are required. The timing of this need
appears to coincide with a likely temporary over-supply situation in western electricity markets.
These near-term purchases are required whether a 10% or 15% reserve margin is adopted.
Reserve Peakers
If a 15% reserve margin is adopted, an additional 430 MW of reserve peaking generation are
required in 2006. In general, 200 MW are needed in the eastern control area and 230 MW in the
western control area. By 2007-2008, additional capacity resources are needed to meet reserve
capacity needs of either the 10% or 15% reserve margin requirements.
PORTFOLIO DEVELOPMENT
The portfolio development process discussed in Chapter 4 and Appendix J provided a number of
useful insights. Many observations and conclusions could be drawn at the portfolio development
stage of modeling. Model runs and subsequent analysis further clarified these initial observations
and conclusions. They are as follows:
Base Load
The East and the West systems require additional base load resources in the future. Existing
plant retirements, load growth, and long-term purchase contract expirations all contribute to this
need and are common to all portfolios. The net position duration curves for the system show
large gaps for greater than 60% of all hours by 2008. All portfolios fill this need for base load
resources with combined cycle units and/or coal fired resources.
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Ch 6 - Portfolios
Peaking
Every portfolio required at least 1 000 MW of peaking resources to meet the needs of additional
capacity for the planning margin. Peakers are lower cost capacity options, which provide the
necessary operational flexibility to manage system reliability requirements. The gap in the West
can be described as a base load profile, though the addition of peaking units provides the
reserves necessary to meet the planning margin.
Shaped Products
Shaped products and electricity purchase agreements (PP As) help resolve some of the immediate
requirements for on-peak energy in the East and the off-peak gap in the West prior to actual
physical assets being built. It is expected that any build option will be compared to the
equivalent available shaped product or PP A at the time the decision to proceed with the build
option has to be made. It is anticipated that the majority of shaped products and PP As will be
closely linked to physical assets to ensure the capacity is available. Shaped products will also be
procured to hedge and reduce the risk exposure to variations in thermal, hydro and wind
performance.
Transmission
Every portfolio involves some investment in transmission upgrades. Without transmission
improvements, the growing needs of the East will not be met. Only a limited number of
resources can be added directly into the Wasatch Front due to airshed restrictions. Increased
transmission capability is needed to meet growing loads.
PORTFOLIO CATEGORIES
To explore a broad range of possible resource mixes, portfolios were first developed in three
different portfolio categories: thermal , alternative technology and transmission. The different
portfolio categories can be compared to learn operational differences based on resource type
under varying assumptions. The following section discusses each category in more detail.
PortfoHo Category: Thermal
Portfolios in the thermal category contain a mix of coal and natural gas additions. There are four
subcategories of thermal portfolios: Gas/Coal, Coal/Gas, All Gas, and PacifiCorp Build. Each
subcategory contains individual portfolios that are used to test the timing and size of resource
additions. Below are brief descriptions of the each subcategory, and a listing of all portfolios
that were developed in each subcategory:
Gas/Coal
This subcategory includes wide ranging portfolios with one or more natural gas plant additions in
the early years and a coal fired plant in Utah or Wyoming in later years. In this and other
portfolios peaking units are added as required to bring capacity up to required margin levels.
Portfolios contained within this subcategory include Gas/Coal I, Gas/Coal I - 10%, Gas/Coal II
Gas/Coal III, Wyoming Coal, and Peakers.
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Ch 6 - Portfolios
Coal/Gas
This subcategory also includes wide ranging portfolios however timing of the Coal and Natural
Gas base load units are switched. These cases install a Utah area coal plant addition in the early
years and combined cycle natural gas plants in later years. Portfolios contained within this
subcategory include Coal/Gas Coal/Gas Coal/Gas III and Coal/Gas III - 10%.
All Natural Gas
The all natural gas portfolios are similar to the Gas/Coal and Coal/Gas portfolios listed above
except a base load coal plant is replaced with a combined cycle natural gas plant. Therefore, in
this subcategory, the primary fuel in all new thermal resources is natural gas.
Portfolios contained within this subcategory include All Gas All Gas and All Gas II - 10%.
PacifiCorp Build
This subcategory places additional emphasis on construction. The contracts present in other
portfolios are replaced with PacifiCorp constructed assets. These portfolios can be compared to
those with contracts to determine the difference in costs to build as well as the level of risk
associated with building.
Portfolios contained within this subcategory include PacifiCorp Build PacifiCorp Build and
PacifiCorp Build II - 10%
Benefits, Uncertainties and Issues
There are benefits , uncertainties , and issues associated with portfolios in the thermal category.
One benefit is the good prospects for siting and licensing generation, since PacifiCorp currently
owns or controls existing thermal generation sites with room for expansion. Another benefit to
the thermal portfolios is that PacifiCorp can make use of existing transmission corridors.
Finally, PacifiCorp currently has experience with building, owning and operating thermal
facilities.
One uncertainty associated with thermal portfolios, and more specifically those thermal
portfolios that contain coal additions, is the impact of future environmental legislation. The
thermal portfolios with a large amount of combined-cycle or peaking plants are also faced with
the uncertainty surrounding future natural gas price volatility.
Portfolio Cate2orv: Alternative Technolo2Y
The purpose of the Alternative Technology portfolios was to build portfolios that ultimately
reduced the number of thermal plants in PacifiCorp s system and replace them with a
combination of conservation and alternative technologies. This was accomplished by adding
additional wind plants, over and above the wind that was developed in the Thermal Portfolios, in
both the East and West control areas, as well as geothermal plants, fuel cells, CHP and additional
DSM. The Load control program used in these portfolios is 30MW of new A/C load control
program above that contained in all portfolios. Natural gas-fired plants (CCCTs and Peakers)
were used to fill the energy balance and build the portfolio to the 15% planning margin.
- 82 -
Ch 6 - Portfolios
Portfolios contained within this category include Alternative Technology I and Alternative
Technology II. The differences between these two portfolios include the wind and peaker build
patterns, as well as the replacement of a lxl CCCT in the West with a 2xl CCCT. Tables 6.1
and 6.2 highlight the differences between the Alternative Technology I and Alternative
Technology II portfolios.
Table 6.1 Alternative Technology I Portfolio Comparison for Build Pattern
Resource 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
(MW)
Wind East 600 120 720
Wind West 500 200 700
Peakers East 400 100 500
Peakers West 460 230 115 805
CCCT lxl Alb 285 285
Table 6.2 Alternative Technology II Portfolio Comparison for Build Pattern
Resource 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
(MW\
Wind East 200 200 200 120 720
Wind West 100 200 200 200 700
Peaker Mona 100 100
Peakers 200 100 200 500
East
Peakers West 230 115 115 460
CCCT KFalls 510 510
As mentioned above, in all the initial portfolios the wind was modeled as a flat contract based on
the Federal RPS. In the Alternative Technology portfolios, the additional wind (above the RPS
level) is modeled as a PacifiCorp build option using historical wind plant data from sources near
potential plant sites. By modeling the historical data some indication can be given of plant
output variability, but this does not necessarily result in a fair representation of all the wind
integration costs associated with firming electricity output and dispatching. Appendix L
provides additional information regarding the costs associated with wind integration costs.
An important assumption to note in this portfolio is that the additional wind capacity (1,420
MW) added in this portfolio was not used in the calculation of the planning margin, therefore the
additional capacity identified for the wind plants was over and above the 15% planning margin
in this portfolio. This assumption was based on the fact that hourly wind output is not
sufficiently reliable to count towards reserves. This is another conservative assumption. This
conservative assumption is tested as a stress case in Chapter 7.
For the first five years of their operation, it is assumed that a Green Tag credit of $5/MWh
accrues to PacifiCorp and its customers, as a result of adding the wind and geothermal plants.
There is also an assumption that the Production Tax Credit (PTC) will be available at $18/MWh
for the first ten years of the wind plant life and the first five years of the geothermal plant's life.
These credits assumed for renewable resources, together with the differential provided by the
- 83-
Ch 6 - Portfolios
assumed carbon tax costs inherent in other portfolios, combine to suggest significant cost savings
for the Alternative Technology category that mayor may not be realized, as is discussed in
Appendix L.
Benefits, Uncertainties and Issues
There are benefits, uncertainties , and issues associated with the Alternative Technology
portfolios. One of the most noticeable benefits is the reduction in emissions as a result of adding
renewable and natural gas resources. There is also a benefit associated with further
diversification of the resources in PacifiCorp s overall resource portfolio. Diversification
mitigates fuel price risks and paradigm risks.
Some of the uncertainties identified in the Alternative Technology portfolios include:
Fuel Cells are commercially proven technology that has been widely dispersed in the utility
industry.
There is both a high capital requirement and siting uncertainty for either PacifiCorp or a third
party to build the level of wind required in these portfolios.
Quality and location of potential wind sites, and associated transmission have not been fully
identified.
Specific DSM programs have not been identified or modeled for these portfolios.
Integration costs associated with the wind plants need additional study, including regulating
margin uncertainty, balancing charges for natural gas supply, and changes in integration costs
as a function of wind capacity installed. Appendix L provides more detail on wind
integration costs.
The market clearing value of Green Tags and the annual availability of the Federal
Production Tax Credit associated with the renewable resources are uncertain.
Portfolio Cateeorv: Transmission
The purpose of portfolios in this category is to concentrate on increasing system benefits by
enhancing transmission capability to liquid and built markets as well as between PacifiCorp
control areas and load centers. One of the main assumptions common to each portfolio in this
category is that PacifiCorp builds and owns the transmission lines constructed, and does not
include any participation or use of the line by third parties. It is assumed that such participation
though not modeled, would reduce costs of these portfolios.
There are two subcategories of thermal portfolios: East-West Transmission and Transmission to
Asset Markets. Below are brief descriptions of the each subcategory, and a listing of all
portfolios that were developed in each subcategory:
East-West Transmission
In these portfolios, a DC line was constructed from the Wasatch front to Malin, Oregon to allow
better flexibility to transfer electricity from the East and West control areas. The new
transmission line is a bi-directional, high-voltage DC line that was evaluated at two different
sizes (l OOOMW and 2 000 MW) to determine the most cost-effective option. Thermal resources
are added to both the East and West control areas in each of these portfolios to meet energy
requirements, and additional capacity was added to meet a 10% planning margin.
- 84-
Ch 6 - Portfolios
Portfolios contained within this subcategory include Transmission 1 000 MW DC and
Transmission 2 000 MW Dc.
Transmission to Asset Markets
This portfolio increases transmission access to markets with assets built by other parties. This
portfolio assumes that by building and owning transmission, there will be additional
opportunities for electricity purchase agreements tied to these assets. This portfolio concentrates
on building lines in the eastern control area, specifically to the southern Nevada. As described in
Chapter 1, there is currently a wave of new merchant generation construction in the WECc.
This is concentrated in the Southwest. Transmission access to these assets in and through
southern Nevada represents a significant opportunity to negotiate electricity purchase agreements
with third parties that constructed plants in this area.
The only portfolio constructed in this subcategory is called Transmission to Asset Build Market.
Benefits, Uncertainties and Issues
There are benefits, uncertainties, and issues associated with portfolios in the transmission
category. One benefit to constructing a DC line that connects the East and West control areas is
that it would allow for greater system flexibility and greater utilization of existing resources.
This could also result in a reduced planning margin. A benefit to increased transmission access
to markets with assets built by other parties, is that it allows PacifiCorp to have access to low
cost markets, and would reduce the capital requirement necessary to construct new plants.
The major uncertainty associated with the transmission portfolios is the potential impact of the
RTO West. There are still unknowns related to who will pay for the cost and the mechanism in
place for recovery of transmission investments. Under RTO West, planning authority for an
individual utility is also uncertain. Market design is still under discussion and will affect the
economics of both transmission and generation investments. Third party utilization is an
important factor in making the construction of new transmission cost-effective, and is still an
uncertainty related to R TO West. There is also the issue related to constructing the DC line from
the Wasatch Front to Malin, 625 miles of "right of way" would need to be negotiated to construct
the line.
HYBRID PORTFOLIOS
After portfolios were developed and analyzed based on the portfolio categories, hybrids of these
portfolios were developed using the best characteristics of the results of the existing portfolios.
Five hybrid portfolios were created - Renewable, Diversified Portfolio I, Diversified Portfolio II
Diversified Portfolio III, and Diversified Portfolio IV. Below is a summary of how these
portfolios were developed:
- 85-
Ch 6 - Portfolios
Renewable
This portfolio was developed using the Alternative Technology II portfolio as a starting point. To
create the Renewable portfolio, the fuel cells, CHP, and DSM were removed from the
Alternative Technology II portfolio, and replaced with a Mona 2xl in 2009.
The Diversified Portfolios
These portfolios were developed using the top four thermal portfolios in each sub-category
(Gas/Coal, Coal/Gas, All Gas, and PacifiCorp Build), and replacing the RPS flat $50/MWh
contract with the gradual, profiled wind used in the Renewable and Alternative Technology II
portfolios. A thermal contract was added to each of these portfolios to replace the lost capacity
associated with the $50/MWh flat contract. Table 6.3 summarizes the new gradual, profiled
wind used in all three diversified portfolios, as well as the thermal contract added to replace the
capacity value given to the $50/MWh flat wind contract.
T bl 6 3 RPS R ' Do fi d P t~ repl acemen III Iversl Ie 0 IOS
Resource 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
(MW)
Wind East 200 200 200 120 720
Wind West 100 200 200 200 700
Thermal 175
Contract East
Thermal 175
Contract West
The three Diversified Portfolios were developed from the following initial portfolios:
Diversified I was developed from Coal/Gas III
Diversified II was developed from PacifiCorp Build I
Diversified III was developed from Gas/Coal I
Diversified IV was developed from All Gas II
Hvbrid Portfolio Comparison
The following tables (Tables 6.4, 6., 6.6 , 6.7 and 6.8) identify key distinctions between the five
hybrid portfolios.
- 86-
Ch 6 - Portfolios
Table 6.4 Diversified I Portfolio Comparison
Diversified Portfolio I 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total MWs
East Thennal contract (installed capacity in MW)175
Class 1 DSM (load control - peak WMI capability)
Class 2 DSM (WMIa added each year)123
Wind (East - installed capacity in MN)200 200 200 120 720
Super Peak Contract ~" It;Contract is 1 year longer I
Coal Base Load (Hunter 4)than other portfolios. 575
CCCT (Mona).... 480 480First new base load is coal in
CCCT (Gadsby Repower)2008 vs. gas in 2007 for other 510 510
Peaker East (Mona)portfolios.200 200
200 I Hunter and Mona base loadReserve Peakers (East)I~nits exchange places in this 300 500
East Market (Short Tenn)500 I I portfolio. 500
West Thennal contract (installed capacity in MW)175
Class 1 DSM (load control - peak WMI capability)
Class 2 DSM (WMIa added each year)
Wind (West - installed capacity in MN)100 200 200 200 700
Flat Contract (7X24)200 200
3-Year Flat Off-Peak 500 (500)
CCCT (Albany)570 570
Reserve Peakers (West)230 230 460
West Market (Short Tenn)500 500
Peaking Contract 100 100
Table 6.5 Diversified II Portfolio Comparison
Diversified Portfolio II 2004 2005 2006 2007 2008 2009 2010 2011 2012 201 Total MWs
East Thennal contract (installed capacity in WMI)175
Class 1 DSM (load control - peak WMI capability)
Class 2 DSM (WMIa added each year)123
Wind (East - installed capacity in WMI)200 200 200 120 720
Super Peak Contract 225 (225)
Coal Base Load (Hunter 4) 575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)510 510
Peakers (Mona)200 200
East Market (Short T enn)500 Peakers arrive 1 year earlier I 500
Reserve Peakers (East)200 than other portfolios 300 500
West Thermal contract (installed capacity in WMI)175
Class 1 DSM (load control - peak WMI capability)
Class 2 DSM (WMIa added each year)
Wind (West - installed capacity in WMI)100 200 200 200 Reserve peakers
CCCT (K. Falls)ion 1 CCCT replaces 255 inlalled 1 year later
3-Year Flat Off.Peak 500 (500)market purchases not ..;:IIIf than other portfolios
found in other
CCCT (Albany)570 loortfolios 570
West Market (Short Tenn)500 Unlike other portfolios"
...
500
Reserve Peakers (West)230 no peaking contract in 230 4602012
- 87-
Ch 6 - Portfolios
Table 6.6Diversified III Portfolio Comparison
Diversified Portfolio III 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Tolal MWs
Easl Thermal contract (installed capacity in MW)175
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (MWa added each year)123
Wind (East - installed capacity in MW)200 200 200 120 720
Super Peak Contract 225 (225)
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)510 510
Peakers (Mona)Gadsby and Mona 200 200
East Market (Short Term)500
---
additions switch between 500
Reserve Peakers (East)200 Diversified II & III 300 500
West Thermal contract (installed capacity in MW)175
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (MWa added each year)
Wind (West - installed capacity in MW)100 200 200 200 700
Flat Contract (7X24)200 200
3-Year Flat Off-Peak 500 (500)
Peaking Contract 100 100
CCCT (K. Falls)510 Ie.Smaller K-Falls CCCT 510
West Market (Short Term)500 '-i replaces Albany CCCT 500
Reserve Peakers (West)230 lin other portfolios.230 460
Table 6.7 Diversified IV Portfolio Comparison
Diversified Portfolio IV 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total MWs
East Thermal contract (installed capacity in MW)175
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (aMW added each year)123
Wind (East - installed capacity in MW)200 200 200 600
Wind (East - installed capacity in MW)120 120
Super Peak Contract 225 (225)
CCCT (Mona)480
.......
960
CCCT (Gadsby Repower)510 510
Peaker East (Mona)200 200All new base-load
Reserve Peakers (East)200 units are gaS-fired.300 500
East Market (Short Term)500 500
West Thermal contract (installed capacity in MW)175
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (aMW added each year)
Wind (West - installed capacity in MW)200 200
Wind (West - installed capacity in MW)100 200 200 500
Flat Contract (7X24)200 200
Year Flat Off-Peak 500 (500)
CCCT (Albany)570 570
Reserve Peakers (West) (K. Falls)230 230 460
West Market (Short Term)500 500
Flat Contract Mid C 100 100
- 88-
Ch 6 - Portfolios
Table 6.8 Renewable Portfolio Comparison
Portfolio Summary (MW)2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total MW'
East Wind (installed capacity in MW)18.573
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (aMW added each year)123
Wind (East - installed capacity in MW)200 200 200 600
Wind (East - installed capacity in MW)120 120
Geothermal (East)
Mona CCCT (2x1)Jt...480
---
480
Super Peak Contract 225 (225)
CCCT (Gadsby Repower)510 510
Reserve Peakers (East)200 Portfolio resembles Diversified 100 200 500
East Market (Short Term)500 l--IV with additional wind and 500
CCCT (Mona)geothermal 480480
Mona Peakers 100 100
West Wind (installed capacity in MW)573
Class 1 DSM (load control - peak MW capability)
Class 2 DSM (aMW added each year)5 \ 2
Wind (West - installed capacity in MW) 200 200
Geothermal (West)
---.
Wind (West - installed capacity in MW)100 200 200 Smaller peaking 500
Class 1 DSM (Ic peak MW capability - UTM )station than
Class 2 DSM (aMW added each year)Diversified IV
Flat Contract (7X24)200 200
Year Flat Off-Peak 500 (500)
Reserve Peakers (West) (K. Falls)230 115 115 460
Peaking Contract 100 100
West Market (Short Term)500 500
CCCT (K. Falls)510 510
SUMMARY
This Chapter has provided an overview of the different resource portfolios PacifiCorp has
analyzed. The focus of Chapter 7 will be on reviewing the results of the portfolio analysis.
- 89-
Ch 7 - Results
RESUL TS
Previous Chapters described the process of simulating the marketplace and modeling various
resource portfolios. This systematic and thorough methodology yielded a large body of results.
This chapter discusses those results and analyzes them to identify their context and meaning.
The most important of these create the foundation for the Action Plan detailed in Chapter 9.
Discussion of the results falls into four categories.
Operational Results: This section presents the expected base-case costs of each portfolio.
summarizes the observations of simulated portfolio operations and explains why portfolios
performed differently.
Risk Analysis: The risk analysis summarizes portfolio variability due to the Stochastic Risks
discussed in Chapter 3.
Customer Impacts: The customer impacts section expresses portfolio results from the
perspective of customers.
Stress Testing: This section presents the findings associated with shocking or stressing
different Scenario Risks.
OPERATIONAL RESULTS
The modeling process simulated expected portfolio operations. The results culminate in total
portfolio costs, measured by Present Value Revenue Requirement (PVRR). The PVRR is a
central measure of portfolio performance and a critical driver of resource selection in the Action
Plan.
The modeling also captures a number of other important measures. These include cost sub-
categories, which roll up into PVRR. Evaluating the cost components identifies relative
strengths and weaknesses of different resource configurations. Explaining why different portfolio
combinations result in different costs, the model finally provides a number of influential
operating characteristics. Complete scorecards, summarizing the metrics for every portfolio, are
provided in Appendix E.
PVRR
Determining portfolio Present Value Revenue Requirements was a principal objective of the
modeling process. PVRR is the sum of year by year revenue requirements of a portfolio
discounted at an after-tax cost of capital to a common date. PVRR takes into account the time
value of money such that different projections of costs of various timing and magnitude can be
evaluated on a comparable basis . Therefore, comparing PVRRs helps identify, on an expected
present value basis, the least cost portfolio.
10 Utah guidelines require PVRR to be expressed in terms of total resource costs. PVRR values provided within this
chapter are based on total utility costs. Total resource costs can be derived by adding $81 384 458 to all PVRRs
provided herein.
- 91-
Ch 7 - Results
Figure 7.1 illustrates the PVRR for each of the major portfolios evaluated. Early portfolios were
developed to test different resource attributes. Subsequent modifications eliminated undesirable
characteristics. As portfolios improved, they moved from the right to the left, as seen in Figure
1. Such movement demonstrates the success of the optimization process discussed in Chapter
4. The information below summarizes portfolio PVRRs:
Figure Portfolio PVRR Comparison
Portfolio PVRR CO rp,
':-
250
':-':--
12,450
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Portfolio Name (.b'C'
The top four portfolios, shown on the left of the graph, represent the best PVRRs of the group
and the conclusion of the refinement process. The remainder of this chapter focuses on these
four. With a large concentration of renewable resources, the results of the Renewable portfolio
are also of interest. Therefore, subsequent analysis includes frequent references to this
Renewable portfolio.
Key Observations on the top four portfolios include:
Diversified portfolio I has the lowest PVRR of the portfolios studied.
In relative terms , Diversified Portfolios I - IV provided similar PVRRs. Among the five
hybrid portfolios (Diversified I-IV and Renewable), differences ranged from 0.2% to 3.
above the Diversified
In absolute terms, Diversified Portfolios II - IV differed from Diversified I by $25m to $82m.
Renewable exceeded Diversified I by $454m.
- 92-
Ch 7 - Results
Portfolio Scorecard
For convenient reference, model output is summarized on Portfolio Scorecards. Table 7.
contains the Scorecard for the Renewable and four Diversified Portfolios. Scorecards include the
following measures:
PVRR and capital costs
Emissions
Market sales and purchases
Existing and new unit capacity factors
System transfers between East and West
The analysis and related discussion in this section frequently refer to this scorecard. Additional
scorecards found in Appendix E summarize the alternative portfolios studied as well as the
results of numerous stress tests.
- 93-
Ch 7 - Results
Table 7.1 Hybrid Portfolio Scorecard
Diversified I Diversified II Diversified III Diversified IV Renewable
VALUE MEASURE
Capital Cost (2002$-millions)643 831 644 077 237 I
Emissions (2004-2023 PVRR $000) 21 750 32 826 (7 237) (122 127) (138 826)
CO2 (thousand tons 2009-2023) 847 919 851 850 841 248 811,477 807 598
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CO2 (% of cap) 105% 105% 104% 100% 100%
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802 (thousand tons 2009-2023) 652 655 654 645 644
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x (thousand tons 2009-2023) 1 046 1 049 1 047 1 036 1 035
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NOx (%ofcap) 102% 102% 102% 101% 101%
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Market Purchases (10 Year)
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"""""""""""""""""..,"'"""".."""..""",..,,""""".."""""..!=.,:'.!,g",
c:J.,c:J,
",,'!:!.,~~,!, """"""",..""",~?:
.9,'Y..~, .."",.."",.."..".."""",
~~,,
'Y..~,
"""""""""""""""..,..,':,'~","(~" """"""""",.."..","""",,
'Y..~,
""""""""".."..",,!,,
.9,
".."..,..",.."".."..""""""""".."..,..".."""""""","""""""",
I::...~,!D,9",
~~",'!:!.,!, ..""""""""""..",,~q,
'Y..~, """""""""""""""",,
~q,~, """""""""""""""""",
!3..9,'Y..~
""".."""""",.."""""",
~.9,
"(~, """"""""""""",,
~9.,'Y..~,IRP CCCT West 77.4% 77.2% 78.5% 81.8% 82.
""""""""",.., ""..",..""'""""""""""",,..,...., """""",.. ,"""" """
iRP"Pea'ker'W'est """"'"""""""""""":00';;;' """"""""""""""""':9'
%' """""""""""""""""""
o/~' """"""""""""""""""'
%' """"""""""""""""
:6'
East West Transfers (MWHs)
2004 East-West Transfer 799,978
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::?9.E::g:~:~i:~V;!~~i:::fE~:6~f~E
"..""",,~,,q!.!..,~,.., ""..
Percent IncreaselDecrease over 2004 135%
"'""'" """"""""""".""""""""."""""""""""""""",.".".,,.",."".""""""""""""""."""""""""""""""""""""'" """"""""""",?qq~",'!:!.,
c:J.,
!",!.,
o:J.,r:!,
!~,
~, 1 901 936
""""""".,,, """,."".
f...9J,
'!:!.,"!,
.T~,c:J.D~,
!~~,, """"~,,'..~q,...?.,,,. """".",
Percent Increase/Decrease over 2004 69%
801,435
""""".!,~"" ..","'",
140%
1 ,899 981
"""~~'?'"
70%
799 978
"..,..,
..9~,
~~,~",,
135%
1 ,901 ,936
J,,
?~~,q~,"""
68%
801,435 799 126
766,831 790 797
"""""""""""""""""""""'
96'o/~' """"""""""""""""""o/~'
899,981 1,902 380
"""""""~",
!5."
~",, """"",~""?.!?~~,?q,~,,,,
84% 82%
- 94-
Ch 7 - Results
Cost Cate2ories
Evaluating the components of PVRR provides insight into portfolio performance. These
evaluations help explain the results observed and aids the development of an Action Plan.
Fixed vs. Variable Costs
PVRR is comprised of both fixed and variable cost elements. Operational simulation
demonstrates that portfolios with lower PVRRs tended to exchange higher fixed costs in return
for lower variable costs.
For example, the high fixed costs of Diversified I can be attributed to the early installation of a
coal plant with associated transmission. Realized the earliest, these fixed costs have greater
present values than other portfolios. Offsetting the fixed costs, the variable costs savings of the
early coal (compared to natural gas) have a substantial present value advantage over the other
portfolios. Figures 7.2 and 7.3 illustrate this tradeoff.
In contrast, Diversified IV enjoys lower fixed costs. It substitutes less capital-intensive natural
gas-fired base load units for coal. With reduced dependence on high fixed cost resources, the
portfolio relies on higher variable cost resources. The greater dependence on high priced natural
gas drives up variable costs substantially. A similar tradeoff occurs with the Renewable
portfolio. Under this configuration large renewable contracts (reported as variable costs) replace
the capital requirements of a base load unit.
Therefore, among the final portfolios, additional fixed cost investments appear to provide a
moderate benefit over variable cost investments. This observation was consistent over the final
portfolios as well as the other major portfolios discussed earlier.
Figure 7.2 Real Levelized Fixed Costs
400
300
~ 2200~ 2,100
,; 'W 2000u. 0~ ~ 1 900
~ ~ 1 800
~ 1 700
-: 1 600
500
~,,~, ~..-" ~..".. ~,,~. -..,
Note: The above figures are plotted on a different scale.
Figure 7.3 Inc. Net Variable Power Costs
Incremental Net Variable Power Cost
800
w 10,600
~ 10,400
~ 'W 10200
~ ~ 10 000
1ii 'z.. 9,800
~ -
:c 9 600
:!: 9,400
200
Divers~ied 1 Divers~ied 11 Divers~ied DI Divers~ied IV Renewable
Key Observations
The Diversified I portfolio has the greatest reallevelized fixed cost and the least incremental
net variable cost of the final portfolios.
Conversely, Diversified IV has the lowest reallevelized fixed costs and second highest net
variable electricity costs among the final portfolios.
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Ch 7 - Results
Variable costs between Diversified I and Diversified IV differ by $677m. Fixed costs differ
by $595m.
Elements of Variable Costs
Variable costs, as traditionally defined, consist of many elements, some of which are individually
detailed in other categories of the scorecard. The categories include: fuel costs, variable O&M
unit start-up costs, emissions costs or credits, spot market sales and purchases, and variable long
term contract costs. Variable cost characteristics differ, depending on the type and timing of
resource installations.
Over the 20-year study period, the variable elements of each portfolio compare to each other as
shown in Table 7.
Table 7.2 Variable Cost Elements
Variable Cost Elements ($000)Divers.ied I Divers.ied II Divers.ied III Divers.ied IV Renewable
Total Fuel Cost 874 230 325 842 009 694 8,426,120 8,479 704
Total Variable O&M Cost 620 865 651 759 634 924 653 349 651 144
Total Emissions Cost 21,750 826 237)(122 127)(138,826
Total Start-up Cost 70,443 69,883 69,868 825 69.138
Variable Contract Coot 612 131 171,451 611 273 639,705 816 778
Sales 747 817)726,240)680,971)609 685)(2,625.092
Purchases 695,734 684 103 723,567 767 541 753,957
Renewable Adjustment'.(368 310)(368 310)(368 310)(368,310)(430,751
Total 9,779 027 841 314 992 809 10,456,417 576 052
Sales and Purchases refer to spot sales and purchases
Includes PTC, Green Tag, and Inlegration Costs
% Change from Divers.iedl
Total Fuel Cost
Total Variable O&M Cost
Total Emissions Cost
Total Start-up Cost
Variable Contract Coot
Sales
Purchases
Renewable Ad'ustment"
Divers.ied I Divers.ied II
50.
12.
Divers.ied III
133.
02%
2.4%
Divers.ied IV
661.
10.
Renewable
738.
8.40
17.
Fuel Costs: Fuel costs make up the greatest portion of variable costs in every portfolio.
Diversified I has the lowest fuel cost. With a coal unit serving as the first base-load addition
high-priced natural gas provides a smaller portion of the portfolio s fuel requirements. The
difference in fuel exposure is a key advantage of this portfolio.
Other portfolios incur greater fuel costs and have greater natural gas exposure. Diversified III
fuel costs are 1.7% greater. Diversified III similarly adds a coal unit. However, the coal unit
does not go on line until 2012. Diversified III in turn leads Diversified II which has much
greater fuel expense due to the late introduction of Hunter 4 and replacement of West contracts
(consuming no fuel) with built resources (which do).
It is important to note that, despite its name, the Renewable portfolio contains substantial
additions of fossil generation. Like Diversified IV, the Renewable portfolio does not include
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Ch 7 - Results
coal and features the early installation of a base-load natural gas unit. However, Renewable
portfolio units operate at higher unit capacity factors than Diversified IV. Accordingly, the
Renewable portfolio incurs the greatest fuel expenses.
Emission Costs: Emission charges represent a smaller component of total variable costs.
Emissions costs are the lowest for the Renewable portfolio. With emissions below assumed caps
these 'costs' result in credits to system costs. Conversely, Diversified II features the highest
emissions costs.
The distinction between Diversified II and III arises from the use of contract purchases.
Diversified III assumes a greater level of variable contract purchases ($3.6 billion vs. $3.1
billion). Regionally, the same level of emissions occurs regardless of who generates the energy.
However, a difference appears in this cost category because PacifiCorp incurs an expense for
emissions associated with its proprietary generation. Such emissions count against PacifiCorp
cap levels. If another party generates, the emissions would count towards their emissions cap and
are captured in forward prices (falling into a different cost category). Independent of contract
purchases, portfolios including new coal, installed before 2012, suffer from notably increased
CO2 and Hg emission costs.
Under base case assumptions emissions represented a smaller cost category. As shown in later
stress tests, this could change. The outcome of pending environmental legislation will playa
major role in determining the optimal fuel and resource mix. Until the legislation is clarified, it
remains a substantial risk factor.
Start-Up Costs: Start-Up Costs are insignificant to the overall total variable costs for the
portfolios but give insight into differences in unit operations between portfolio. Operations in
Diversified I require more frequent unit starts to balance the system.
Variable Contract Costs: These costs include long-term purchases like contract renewals and
PP As. Variable contract costs represent the second largest category of variable costs. Here
Diversified II stands out. Contract costs fall approximately 12%, since built resources replace
the West contracts found in other portfolios.
Diversified I and Diversified III include similar contracts and costs. The Renewable portfolio has
variable contract costs 5.0% greater than Diversified I and Diversified III due to a $50/MWh, flat
renewable contract not present in the other portfolios. Strongly influencing its PVRR ranking,
the fixed price contract is one ofthe key features of this portfolio.
Sales & Purchases: This category includes the PVRR of spot sales and purchases pursuant to
the model dispatch logic. 11 Spot market sale revenues increase in the years a large resource is
added. At that point, sales rise over portfolios with smaller, more flexible units. For example
Diversified I adds a large coal plant in 2008. In 2008 sales rise significantly.
II Within the IRP, spot Sales and Purchases include all balancing transactions, which occur outside of existing long-
term contracts.
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Ch 7 ... Results
Figures 7.4 and 7.5 plot spot market sales for the West and East markets. On the West plot
Diversified III sales are represented by the first line followed by Diversified II and Diversified
The Diversified IV and Renewable portfolio were not shown, but present similar profiles. All
portfolios follow a similar pattern with a plateau at the 250 MW level. Recall from Chapter 5
that market access in the West is restricted to 250 MW at COB and 250 MW at Mid-Columbia.
At the plateau, market prices cause one point to run at the maximum capacity while the other
remains at 0 MW. During approximately 30-35% of all hours in 2014, market sales reach a
maximum capacity of 500 MW. Conversely, for about 12% of all hours, there are no West
market sales.
In the East, market sales reach a maximum of 500 MW for 22% of all hours for the Diversified
portfolios. As shown in Figure 7.4 all portfolios have no sales for 5% of all hours. Observed
Figure 7., market sales plateau in the East for a significant period of time. The plateau occurs at
350 MW. This is the limit to PacifiCorp s existing firm transmission rights. Additional sales
incur substantial, short-term transmission procurement charges. Thus, the model economically
restricts additional sales to a more limited period of time. Additional information regarding
market access can be found in Chapter 5 and Appendix J.
Figure 7.4 Spot Market Sales West
FY 2014 West Spot Market Sales
50 ..
100 ..
150
200
:s::2 -250
300
350
-400
-450
500
......-.-.......--..-----....-...-..................-......-..-....
876 752 628 504 380
!-bur
256 132 008 884 760
-Diy III Diy I Diy II
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Ch 7 - Results
Figure 7.5 Spot Market Sales - East
FY 2014 East Spot Market Sales
50-876 752 628 504 380 256 132 008 , 60
100
150
200
~ -
250
300
350
-400
-450
500
Hour
DiVIIi Div I Div II
Figures 7.6 and 7.7 illustrate spot market purchases for the three portfolios. Market purchases
decrease with each addition of capacity.
Of the other Diversified Portfolios , Diversified II adds the most new resources. It also displays
the fewest market purchases. The resources of Diversified II operate more flexibly than the
contract purchases of I and III. The physical resources better adjust to variable system demands
than the flat contracts.
West FY 2014 purchases are greater than the East with 2-5% of all hours purchasing the
maximum available, 500 MW. Diversified II and III require the most market purchases.
Diversified I requires the least. Between 60-70% of all hours, West spot market purchases
decrease to 0 MW. The very low reliance on market purchases in the East is displayed in Figure
7 where all portfolios show East market purchases for fewer than 5% of all hours in FY 2014.
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Ch 7 - Results
Figure 7.6 Spot Market Purchases - West
FY 2014 West Spot Market Purchases
500
450
400
350
300
~ 250
200
150
100
876 752 628 504 380 256 132 008 884 760
Hour
DiVIli.Div I Div II
Figure Spot Market Purchases - East
FY 2014 East Spot Market Purchases
500
450
400
350
300
S 250
200
150
100
0 ,
876 752 628 504 380 256 132 008 884 760
Hour
Divlll Divl Divll i
The purchase and sale profiles demonstrated above consistently lead to superior PVRR
performance. In an attempt to reduce market sales, portfolios substituting base load elements
with peakers were constructed. Peakers provide more operating flexibility at higher marginal
costs. The test produced the intended drop in market sales. However, the resulting portfolios
relied more heavily on market purchases. One market exposure (high sales) was merely traded
for another (high purchases). Furthermore, the purchases combined with higher operating costs
caused PVRR to increase.
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Ch 7 - Results
Other Operational Measures
Cost measures are important means of evaluating portfolio performance. In addition to costs
Capacity Utilization factors and System Transfers help explain the operations of each portfolio.
Capacity Utilization
Capacity utilization factors provide valuable insight into the appropriateness of resource
additions. Poor utilization factors may imply unnecessary capacity costs. They also act as an
indicator of stranded power. The measure was particularly useful in the portfolio development
process where extreme values signaled a need for resource changes. The final portfolios are the
products of iterative improvements driven, in part, by this metric. Accordingly, they generally
display favorable utilization factors.
The four Diversified portfolios show very similar unit behavior by 2014. Existing fleet
performance by resource type in the East remains high in 2014 for all portfolios. Capacity factors
for existing West CCCTs decreases between 32% and 38%. New coal units run at a maximum
availability of 91%. New CCCT units operate at 47% to 82% capacity factors. New Peaking
units perform as expected - around the 5% to 12% capacity factor level. Refer to Appendix J for
a discussion of the screening curve used to assign different resources to different load profiles.
With high capacity factors, there are no obvious signs of new units merely displacing existing
units or adding risk by creating a long market position. Furthermore, consistent with the strategy
of obtaining resources only to serve load, high utilization factors are evidence that generation is
not being added for merchant purposes.
System Transfers
With the exception of the Renewable and Diversified IV portfolios, East to West transfers
increase by 135-140% between 2004 and 2014. The Renewable portfolio s West to East
transfers decrease. West to East transfers decrease by approximately 70% for Diversified
Portfolios I-III, and 82 to 84% for the Renewable and Diversified IV Portfolios. This suggests
the system becomes more generally balanced over time with the introduction of Diversified
Portfolios I, II and III.
Operational Results - General Conclusions
Portfolio comparisons illustrate an exchange between fixed and variable costs. This exchange is
intuitive. Higher fixed and capital cost investments tend to result in lower variable cost
resources. Such an exchange, though moderate, appeared to positively impact PVRR.
PVRR differences between final portfolios are heavily influenced by differences in variable
costs. Diversified I has the lowest variable costs. Low fuel and variable O&M cost advantages
slightly outweigh higher contract purchase costs. The early installation of a coal plant in this
portfolio moderately increases fixed costs, but, relative to the other portfolios, greatly reduces
fuel and operating expenses for the portfolio between years 2008 and 2011. The timing of the
base load unit addition (2008 vs. 2007) also appears to benefit costs.
- 101 -
Ch 7 - Results
Superior portfolios tend to require substantial market sales. Built to a 15% planning margin over
forecast peak load, top portfolios include substantial balancing requirements in non-peak periods.
Attempts to restrict market exposure resulted in poorer PVRRs.
While each portfolio configuration affect cost categories differently, tradeoffs between
categories occurred and mollified the overall impact. Changing portfolios to reduce a specific
cost can be likened to squeezing a balloon. As a balloon (or cost) is squeezed in one area, other
areas of the balloon push outwards. For example, the lower fuel costs associated with
Diversified III tended to be offset by higher Variable Contract Costs. Similarly, higher fixed
cost investments in Diversified I tended to reduce variable cost exposures.
Although portfolios feature differing resources and installation timing, they tended to converge
with respect to costs. This is an expected outcome of an iterative portfolio development process.
Portfolios were iteratively improved and collectively approached least cost configurations.
East - West Cost Se2mentation
Portfolio simulations include the physical transmission limitations between control areas.
Accordingly, resources generally fall into east and west portfolio sub-categories. Table 7.
details the costs associated with each sub-category.
Incremental PVRR
Portfolio costs tend to follow a 60x40 split between the east and west sub-categories. This is
consistent among all of the final portfolios with 60 percent of the costs associated with the East
sub-category.
Net Variable Power Cost
Discussed above, Net Variable Power Costs are a significant component of PVRR. Among the
sub-categories of each portfolio, greater cost parity was observed. The Net Variable Power
Costs tending to be equally divided between the two portfolios.
Capital Costs
Table 7.3 demonstrates that the East to West ratio is greater with respect to capital costs.
Portfolio sub-categories tended to demonstrate a 70x30 split. Combined with more equivalent
division of net variable costs, the capital costs contribute to the observed total PVRR 60x40 split.
- 102-
Ch 7 - Results
Table 7.3 East - West Cost Breakdown
PAC We", 675.331 669.362 6S1.665 592.933 6'0.755 42%42%42%41%
PACE",740.752 713.759 685.085 69'30'549 106 58%58%58%59%
Net Variable Power Cost 224.853 848.975 840.157 923.851 291.080
....
PAC We" 1.942.885 048,495 1.915.021 1.970.701 075.264 46%53%50%50%
PACE",281.967 1.800.480 925.136 1.953.150 215.816 54%47%50%50%
Real Levellzed Hxcd CDS'001 005 343.921 2,306 368 177.165 1.748.556
PAC We" 713,423 601.844 717.621 603.209 586.469 36%26%31%28%
PACE",1.287582 742 077 1.58'746 1.573.956 1.162.087 64%74%69%72%
DSM Real Lcvelized '190.225 190.225 190.225 190,225 190,225
PAC We", 19.023 19.023 19.023 19.023 19.023 10%10%10%10%
PACEas,171.203 171.203 171.203 171.203 171203 90%90%90%90%
Capital Costs 262 643 831 644 077
PAC We" 813 610 797 611 610 36%23%28%23%
PACE,",1.450 034 034 034 1,467 64%77%72%77%
Total MW Add't'oos 006 365 5.320 305 270
PAC We" 2.593 205 160 145 205 43%41%41%40%
PACE,",3,413 160 160 160 065 57%59%59%60%
I. In",cmen'" PVRR of New Rcso~ecs ~ Net V~i,ble Pow", Co", + Real Lmlizcd Fixed Co", + DSM Reol L"clized
2. No cosls fo,Oceson T"" DSM ~c u~d in ,hiseoleul";on
RISK ANALYSIS
Expressing each portfolio in terms of deterministic PVRR conveys just one dimension of
portfolio performance. The risk of each portfolio represents another key dimension. This
section provides five risk measures for comparison:
95th Percentile
5th Percentile
95th - 5th Percentile
Coefficient of Variation
Mean of Tail
Each measure provides a different perspective on the risk profile of the final portfolios. Taken in
aggregate, they help establish portfolio rankings.
While it is helpful to evaluate individual portfolio risks, those risk measures alone do not convey
the cost effectiveness of investments needed to achieve (or mitigate) them. Therefore, this
section also evaluates the tradeoffs between investment and risk.
Risk Measures
The following risk measures define the risk profile of the final portfolios and allow comparisons
between them. In addition to defining the measure and showing the model results, this section
details the limitations of each.
- 103-
Ch 7 - Results
th Percentile
This measure allows for high-risk case comparisons between portfolios. Ninety-five percent of
the simulated PVRR observations occurred below this point. Given the asymmetrical distribution
of simulated outcomes, the 95th percentile provides an efficient risk representation.
Decisions based on this metric must be made with some caution. While the 95th percentile helps
define the high side of potential PVRR outcomes, it doesn t provide insight into the overall
variability of the portfolio.
Figure 7.8 95th Percentile
95th Percentile
$15,750
~ $15 500
~ $15 250
~ $15 000
c..
I ~ $14$14 500 ,
Portfolio
Diversified I has the lowest 95th percentile. Thus, according to this measure, its future is
expected to entail a lower likelihood of high PVRR outcomes. Renewable exceeds the next
nearest portfolio by $328m.
High PVRR iterations tend to coincide with high loads and natural gas prices. A greater
sensitivity to natural gas price fluctuations makes Diversified IV prone to high PVRR outcomes
during these scenarios. The Renewable Portfolio reliance on natural gas combined with an
overall higher cost structure appears to be a leading cause for the divergence in costs at the 95
percentile.
Relative to Diversified I, the Diversified IV portfolio relies more heavily on natural gas fired
generation. From the standpoint of PVRR, the dependence on natural gas fired generation is
exacerbated by an earlier installation time line. New natural gas-fired base load units arrive
earlier in the Diversified IV Portfolio than the Diversified I Portfolio. Table 7.4 illustrates the
comparative build-up of natural gas generation in Diversified I and Diversified IV.
- 104-
Ch 7 - Results
Table 7.4 Natural Gas Capacity Comparison
Diversified IV Installed through 2008
Installed through 2014
Natural gas
Base Load MW
080
040
Peakers MW
430
160
Diversified I Installed through 2008
Installed through 2014
570
560
430
160
Furthermore, the Diversified I, II and III portfolios include a coal base load unit installed no later
than in 2014. Though the impact in Diversified II and III is somewhat diminished by
discounting, this common element tends to cause their 95th percentiles to converge at a point
lower than the Renewable and Diversified IV portfolios.
Other than this exception, the final portfolios are tightly clustered. Given the diversity of
modeling inputs and time horizon of the study, it could be argued that the 95th percentiles of the
portfolios are statistically indistinguishable.
5th Percentile
Five percent of the simulated observations occurred below this point. Since low PVRRs are
generally preferred, this measure of risk helps identify a reasonable approximation of best-case
expectations. Like the preceding measures, lower values are generally preferred. They illustrate
the reasonable extreme of best-case outcomes. This measure is of particular interest when
interpreting the previously discussed risk metrics.
Figure 7.9 5th Percentile
5th Percentile
$9,500
. Diversified 1
0 Diversified 2
Iim Diversified 3
0 Diversified 4
lEI Renewable
'2 $9,250
~ $9,000
~ $8 750
tI..
..c::
in $8,500
$8,250
Portfolio
- 105-
Ch 7 - Results
Low PVRR cases (like the 5th percentile) tend to feature low load trajectories and moderate to
high natural gas prices. The Diversified IV Portfolio demonstrated the most favorable, best-case
results under these conditions. With only natural gas-fired base load capacity, the portfolio
enjoys lower fixed and capital costs. Under lower loads, Diversified IV also appears to avoid the
expense of its higher market purchases originally observed in Table 7.
The Renewable portfolio demonstrates the highest results under this metric. Observed in
Chapters 3 and 6, the Renewable portfolio features a large, fixed-price, must-take renewable
contract. This contract appears to increase costs at the 5th percentile by contributing to a higher
overall cost structure.
Moderate natural gas prices converging with lower loads appear to create favorable conditions
for market sales for all portfolios. Intuitively, natural gas dependent Diversified IV should
benefit the least from such sales. The greater absolute fuel costs of Diversified IV appear to be
partially offset as this portfolio benefits from monetizing the correspondingly higher dollar value
of the spark spread.
The Diversified I portfolio includes the early installation of a coal plant. With the large capital
costs subjected to fewer years of discounting, this portfolio element causes the 5th percentile of
Diversified I to drift upwards.
th - 5th Percentile
This value is another measure of risk. The measure equals the difference between the 5th
percentile and the 95th percentile of PVRR. Nine out of ten iterations fell within this range.
Thus, it represents a reasonable range of expected outcomes for each portfolio. The larger this
range, the greater the risk associated with each portfolio.
The 95th - 5th measure defines the reasonable range of expected outcomes. However, decisions
based on it should be made with some caution. Comparisons based upon this risk measure may
be confusing among portfolios with significantly different means and/or 5th percentiles.
- 106-
Ch 7 - Results
Figure 7.10 95th - 5th Percentile
95th - 5th Percentile
900
E $6,700
~ $6,500
~ $6 300
Iii
~ $6 100
$5,900
Portfolio
Diversified I yielded the best, least risk, results. This advantage arose from its lower 95th
percentile ranking and its higher 5th percentile ranking. Thus, expected PVRRs fall within a
narrower range. While Diversified I enjoys the least risk position, Diversified II and III closely
follow its performance.
Producing a higher risk profile, the Renewable portfolio high 95th percentile overwhelms its
correspondingly high 5th percentile. The resource configuration of Diversified IV brings the
greatest degree of variation under this measure. A high 95th percentile combines with its low 5
percentile to produce the greatest range of potential outcomes.
Coefficient of Variation
The coefficient of variation is an alternative measure of risk. It equals the standard deviation of
the 100 risk iterations divided by their mean. Standard deviation alone is a measure of the
relative dispersion (and risk) of iterative outcomes. Dividing by the mean tends to reduce
confusion caused when comparing distributions with different means.
While valuable for comparisons, this measure doesn t provide a complete picture of risk within
the context of the IRP. Stated as a percentage, the measure doesn t convey the dollar variability
associated with each portfolio. Defining such dollar variability is an important element of
customer impact analysis, discussed later in this chapter.
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Ch 7 - Results
Table 7.5 Coefficient of Variation
Portfolio Coefficient of
Variation
15.962%
16.553%
16.387%
18.194%
16.784%
Diversified 1
Diversified 2
Diversified 3
Diversified 4
Renewable
Consistent with other risk measures, the Diversified I portfolio demonstrates the least risk while
the Diversified IV portfolio offers the greatest degree of variability. Also consistent with other
measures, the coefficient of variation of the portfolios is tightly grouped.
Mean of Tail
The mean of tail is the simple average of the highest 5% of the simulated PVRR observations.
Alternatively stated, it is the average of the five worst-case observations. This measure helps
explore the tail risks of portfolios and represents the impact of the skewed distributions discussed
in Chapter 3.
The metric is useful for comparative purposes, but should be considered with caution. By
definition it averages just five values. Furthermore, as a simple-average it can be dramatically
influenced by a single extreme observation.
Figure 7.11 Mean of Tail
Mean of Tail
Average of highest 5% of iterations
$17 500
. Diversified 1
0 Diversified 2
1m Diversified 3
0 Diversified 4
CJ Renewable
'"2
~ $17 000
.....
::: $16,500
$16,000 ,
Portfolio
The mean of tail associated with Diversified I further confirms the portfolio s lowest risk
position. Intended to reflect the most extreme of potential outcomes (the worst 5 out of 100),
this measure shows Diversified I is prone to a more moderate series of 'worst-case' events. This
measure was the highest for the Renewable portfolio. It is clear that Renewable portfolio has
greater tail risks than the other portfolios.
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Ch 7 - Results
Like the 95th percentile, the mean of tail observations tended to occur when high natural gas
prices intersect with high loads. However, Diversified IV, with the greatest proportion of natural
gas fired resources, performs nearly as well as Diversified 1. The reason can be found within the
iterations comprising the highest five PVRR observations. While the highest five observations
tended to occur at the general intersection of high loads and natural gas prices, two of the five
iterations occurred when loads neared the 100th percentile while natural gas prices resided near
the bottom of the upper quartile. From a total PVRR standpoint, these iterations were tail events.
However, the natural gas exposure and the resulting PVRR of Diversified IV were reduced by
the more moderate natural gas prices.
Risk Tradeoff
The information above provides valuable comparisons between key portfolio metrics. These
comparisons are only the first step in evaluating portfolio risk performance. The next step
requires evaluating the tradeoff between investment and risk. Evaluating portfolios in this
manner provides useful insight. Superior portfolios should demonstrate a superior tradeoff.
This section details the risk tradeoff associated with two measures. First, this section presents
the PVRR relative to the 95th percentile. Second, this section presents the PVRR relative to the
95th - 5th percentile.
PVRR vs. 95th Percentile
Figure 7.12 demonstrates the tradeoff between the PVRR and risk. Interpreting the results of this
graph is a matter of comparing the investment required by each portfolio (PVRR) against the
overall risk the portfolio demonstrated in the model. For purposes of this figure, risk is defined asthe 95th percentile.
Stakeholders are assumed to universally prefer lower risk portfolios at any specific investment
level. Therefore, portfolios approaching the origin of Figure 7.12 generally dominate those more
distant. Under this rule of thumb, Diversified I appears to be the dominant portfolio.
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Ch 7 - Results
Figure 7.12 PVRR vs. 95th Percentile
Risk Tradeoff - PVRR ,95th Percentile
600
500
15,400
~ 15,300
; 15 200
a..
~ 15,100
It)
000
900
800
200 300 12,400 500
PVRR
600 700 800
Several points are illustrated by Figure 7.12.
First, the Diversified I and Renewable portfolios fall at opposite points. The Renewable
portfolio has the largest PVRR of the top portfolios. Interestingly, this portfolio also has the
greatest degree of risk. This figure demonstrates that the Renewable portfolio has the least
efficient tradeoff between investment and risk.
Second, Diversified III and IV require greater PVRR commitments than Diversified 1. Like
Renewable, they also feature greater risk than Diversified 1. Therefore, Diversified I dominates
Diversified III and IV.
Third, Diversified I and II demonstrate a nearly identical risk profiles. However, the expected
PVRR of Diversified II is somewhat higher. Given this less efficient tradeoff, it is concluded
that Diversified I also dominates Diversified II.
Dominant " as used herein, merely conveys that one portfolio, when compared to another
appears to contain a superior collection of resource choices. The word, however, is not intended
to connotate the strength or magnitude of that superiority.
PVRR vs. 95th - 5th Percentile
The 95th percentile alone does not provide a complete picture of risk. The Figure 7.13 employs a
different risk measure, 95th - 5th percentile, in order to evaluate the tradeoff between PVRR and
risk. Interpretation of this figure is performed in the same manner as before. Results closer to
the origin are generally preferred. As such, Diversified I, again, appears as the dominant
portfolio.
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Ch 7 - Results
Figure 7.13 PVRR vs.
th - 5th Percentile
Risk Tradeoff - PVRR ,95th - 5th Percentile
000
~ $6 800
B $6 600
...
$6,400 -
It)
~ $6 200
It)0) $6 000
800
200 300 12,400 500
PVRR
12,600 700 800
Figure 7.13 reinforces earlier observations.
Diversified I and Renewable reside at opposite points of the graph with Renewable
demonstrating the least efficient tradeoff between PVRR and risk.
Diversified I has lower risk and a lower expected PVRR commitment than Diversified , III
and IV. Accordingly, Diversified I is viewed to dominate the other three.
N aturaJ Gas Price Sensitivity
Observed in the analysis, high PVRRs tend to occur at the intersection of high natural gas prices
and high loads. This section adds to that discussion by providing additional analysis of the
impact of natural gas prices and portfolio costs. Here, natural gas price sensitivity was assessed
by load normalizing portfolio performance.
To load normalize portfolio performance divide the revenue requirement (expressed in dollars)
by the energy demanded (expressed in MWhs). The resulting costs are expressed on a $/MWh
basis. The Customer Impacts section later in this chapter discusses this process further.
Movement in loads dramatically affects PVRR. The impact may mask the influence of other
stochastic measures. Normalizing generally isolates the cost impact of other Stochastic risks
from load.
While helping provide insight into the impact of other variables, drawbacks exist. For example
the remaining stochastic variables are not individually isolated. Therefore, within iterations the
specific impact of unit outages, hydroelectric conditions as well as natural gas and power prices
must be inferred.
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Ch 7 - Results
Figures 7.14 - 7.17 provide the results of this analysis. The graphs portray the performance of
Diversified I and IV. These portfolios, respectively, contain the lowest and highest exposure to
natural gas. Therefore, illustrating them frames the comparisons of natural gas price exposure.
The x-axis plots the annual average natural gas prices simulated at Mid-Columbia. The y-axis
plots load normalized portfolio costs, expressed in dollars per MWh. Figures 7.14 and 7.15 plot
the costs observed when simulated loads were high. Conversely, Figures 7.16 and 7.17 plot
costs when loads were low.
Figure 7.14 Div I High Loads and Natural gas
Diversified I - High Loads to Gas
60.
:5: 40.
::iE
1;)0 20.
20 I I
MidC Gas Price, $/MBtu
Figure 7.16 Div I Low Loads and Natural Gas
:5:
::iE
~ 20.
, ~
Diversified I - Low Loads to Gas
MidC Gas Price, $/MBtu
Figure 7.15 Div IV High Loads and Natural Gas
Diversified IV - High Loads to Gas
60.
~ 40.
::iE
1;)
8 20.00.
00 10
MidC Gas Price, $/MBtu
20 i
Figure 7.17 Div IV Low Loads and Natural Gas
Diversified IV -- Low Loads to Gas
40.
:5:
::iE
~ 20.
1;)
MidC Gas Price, $/MBtu
The analysis shows the natural gas to cost relationship is not constant. Rather the, sensitivity to
natural gas price appears to depend on the system loads. The observation is intuitive and
consistent with the earlier risk results. Natural gas and electricity prices are highly correlated.
When loads are low, sales of surplus electricity generate more revenue when natural gas prices
(and power prices) are high. The resulting revenues drive down costs. When loads are high, the
reverse is true with fewer sales and more purchases producing greater costs.
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Ch 7 - Results
The top panels represent iterations where loads are high. Here costs tend to increase with natural
gas prices. In the bottom panels, higher natural gas prices drive costs down. For these iterations
high fuel prices (and with them, high electricity prices) coincide with low loads.
This general result applies to all IRP portfolios. Because power prices are highly correlated with
natural gas prices (power prices can be viewed as a derivative of the natural gas prices), even a
resource mix with no natural gas-fired generation would be short or long natural gas, contingent
on what happens to system loads.
Generally speaking, portfolios with more natural gas generation should be more sensitive to
natural gas price movements when short power, and less sensitive to natural gas price variations
when power is surplus. However, because the share of natural gas fired generation in each
resource mix tends to be low even in the more natural gas intensive IRP portfolios, this effect
appears insignificant. Indeed, it can be seen from Figures 7.16 and 7.17 that the differences in
cost sensitivity to natural gas price between the IRP portfolios with the least (Diversified I) and
the most (Diversified IV) amount of natural gas fired generation, are very small.
A further conclusion may be inferred from this analysis. A high observation of anyone risk
parameter, may not be enough to cause a given year to result in high costs. Useful information
therefore, cannot be obtained by simply moving individual variables in isolation. Rather the
convergence between events drives PVRR. For example high loads, high natural gas prices, high
unit outages and low hydroelectric output converged to drive costs, as observed during the recent
past. Hence, high natural gas prices sometimes reduce PVRR (when loads are low) and
sometimes increase it (when loads are high).
East - West Risk
Some participants in the public process requested a risk analysis divided between east and west
portfolio sub-categories. The current IRP model performs the risk analysis on an integrated
basis. It does not yet allow for regional cost segmentation. This is an enhancement targeted for
the next IRP.
CUSTOMER IMPACT
This section characterizes the costs on a per MWh basis. Describing cost per unit of energy
better represents the impact on customer rates. It also helps reflect the rate changes, which might
be required moving from one year to another. This analysis, while providing an indication of
rate direction, does not represent rates fully allocated by state and customer class. Table 7.
provides additional details and reflects the following:
PVRR using both a reallevelized and a nominal revenue requirement calculation for resource
and transmission capital expenditures
PVRR discounted at both PacifiCorp s after-tax weighted average cost of capital (7.5%) and
the general escalation rate (2.5%)
A 20-year average $/MWh utilizing the revenue requirements as stated in constant dollars
(discounted at the escalation rate)
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Ch 7 - Results
Calculation Method
Discount Rate
Each portfolio PVRR is calculated using real levelized revenue requirements for resource and
transmission capital. Additionally, the nominal revenue requirements are calculated and
presented at the request of those wishing to see a 20-year PVRR calculated using traditional
ratemaking methodology. Portfolios are also shown discounted at PacifiCorp s weighted average
cost of capital (W ACe) and at the general escalation rate. Additionally, the constant $/MWh
results were calculated by taking the PVRR, calculated using a 2.5% discount rate, and dividing
it by the 20-year sum of MWh.
Relative Rank
Table 7.6 also shows, within each measurement methodology, what percent each portfolio
PVRR is above the least cost portfolio. The results indicate that the relative ranking among the
portfolios do not materially change when applying alternative measurement methodologies.
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Ch 7 - Results
Table Real Levelized versus Nominal PV versus Constant
Present Value Results Constant Dollar Results Constant Dollar Results
Discounted at WACC Discounted at Escalation Rate 20.Yr Average $/MWh
wi reallevelized wi nominal (1)wi reallevelized wi nominal (1)wi reallevelized wi nominal (1)
4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003
PVRR PVRR PVRR PVRR PVRR PVRR
Discount Rate
Diversified I 313 12,895 684 22,369 $15.$15.
Diversified II 338 940 716 22,474 $15.$15.
Diversified III 360 12,926 21,757 22,457 $15.$15.
Diversified IV 12,395 12,871 21,855 405 $15.$15.
Alternative TechnoloQY II 559 974 180 583 $15.$16.
CoallGas III 651 13,141 22,300 22,955 $15.$16.
PacifiCoro Build - I 12,679 13,189 22,332 23,060 $15.$16.
Gas/Coal I 12,706 13,180 22,386 23,056 $15.$16.
Gas/Coal II 12,715 13,188 22,396 23,064 $15.$16.
GaslCoalll1 12,743 13,216 22,435 23,091 $15.$16.
PacifiCorp Build II 748 13,258 22,477 23,208 $15.$16.
Peakers 759 13,215 22,489 23,134 $15.$16.
Renewable 12,767 13,235 22,569 23,062 $15.$16.
Alternative Technology I 12,770 13,081 22,475 620 $15.$16.
All Gas II 865 13,251 706 219 $15.$16.
WyominQ Coal 868 360 694 23,394 $15.$16.
All Gas I 12,889 13,264 22,739 23,225 $16.$16.
CoallGas 908 13,317 771 23,264 $16.$16.
CoallGas 910 368 759 336 $16.$16.
Transmission -1000MW DC 13,018 13,737 969 012 $16.$16.
Transmission - 2000MW DC 13,218 022 23,357 546 $16.$17.
Transmission - Asset Build Market 13,221 13,662 23,420 24,034 $16.48 $16.
Coal/Gas III - 10%12,358 819 21,808 22,451 $15.$15.
Gas/Coal 1- 10%12,376 807 814 22,466 $15.$15.
PacifiCoro Build II - 10%12,531 13,019 129 875 $15.$16.
All Gas II - 10%576 12,934 22,220 22,723 $15.$15.
wi reallevelized wi nominal (1)wi reallevelized wi nominal (1)wi reallevelized w/ nominal (1)
Percent above Least Cost Portfolio 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003
PVRR PVRR PVRR PVRR PVRR PVRR
Discount Rate
Diversified I
Diversified II
Diversified III 0.4%0.4%
Diversified IV
Alternative TechnoloQV II
CoallGas III
PacifiCorp Build - I
GaslCoal1
Gas/Coal II
Gas/Coal III 3.4%
PacifiCorp Build II
Peakers 3.4%
Renewable
Alternative Technoloov I
All Gas II
WvominQ Coal
All Gas I
Coal/Gas II
Coal/Gas I 4.4%
Transmission - 1000MW DC
Transmission - 2000MW DC
Transmission - Asset Build Market 7.4%8.0%7.4%
Coal/Gas III - 10%0.4%0.4%
Gas/Coal I - 10%0.4%
PacifiCorp Build II - 10%
All Gas II - 10%2.4%
The comparisons in Table 7.6 of present value vs. constant dollar results and capital costs are
calculated using reallevelized vs. nominal revenue requirements. Results are based on model
runs prepared for the final report. Note: (PVRR Results Are In Millions Of Dollars).
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Ch 7 - Results
Capital Life - End Effects
It should be noted that the results presented using the nominal revenue requirement calculation
do not include an adjustment for capital life end-effects. The analysis period is 20 years, and
most of the assets ' lives extend well beyond the end of the analysis. This results in the higher-
cost revenue requirements incurred in the early years of a capital addition s economic life to be
included in the PVRR while the lower cost revenue requirements of later years are excluded.
Without some type of end-effects adjustment, the capital-intensive portfolio s PVRR will tend to
show a relatively higher nominal revenue requirement. While utilizing nominal revenue
requirements is more reflective of future ratemaking impacts during the 20-year analysis period
it does not, by itself, provide proper comparative economics needed to address the relative costs
oflong-lived assets.
Revenue Requirement Impacts
IRP Footprint
The IRP customer impacts calculation includes only the $/MWh rate impacts associated with the
lRP footprint" as compared to total PacifiCorp historical $/MWh (CY 2001 actual retail $/MWh
was used for comparison).
The IRP footprint includes electricity supply system costs for fuel, variable plant O&M
emission allowance impact, start-up costs, market contracts, spot market purchases and sales
production tax credits, green tag benefits, renewable integration costs, and DSM costs. It also
includes all of the revenue requirement costs associated with adding incremental investment in
new resources and new transmission. However, the IRP footprint does not include certain costs
that are deemed common to all IRP portfolios. The excluded costs are existing generation assets
capital revenue requirement, existing generation assets fixed O&M, future air emissions costs
hydro relicensing costs, and other non-electricity supply costs such as distribution, transmission
and general plant capital and operating costs.
Impact Calculation
The IRP customer impact calculation is as follows: portfolio $/MWh is calculated annually by
dividing the total revenue requirement of the IRP footprint by the IRP load projections. Each
year is compared with the previous year s $/MWh to derive the $/MWh increase. This $/MWh
increase is then divided by calendar year 2001's actual retail rate of $48.97/MWh. (The CY
2001 $/MWh was chosen as a benchmark anchor to which all other years are compared. Figure
6 provides an example.) This provides an "indicative" percentage increase attributed to the
IRP portfolio for that year.
Effect on Rates
Because the IRP excludes costs common to all portfolios, the customer impacts calculation is
only relevant when comparing one IRP portfolio against another. While the impact calculation
provides yearly directional implications of rate changes associated with the IRP, it cannot
provide a projection of total PacifiCorp revenue requirement impacts. It is only a portion of the
total PacifiCorp revenue requirement. Likewise, the IRP impacts are a consolidated PacifiCorp
look assuming immediate ratemaking treatment and make no distinction between current or
proposed multi-jurisdictional allocation methodologies.
116 -
Ch 7 - Results
Table 7.7 IRP Annual Increase Calculation Example
Example Calculation of IRP Annual Increase as a Percent of CY 2001 Retail Rates
Using the Diversified Portfolio I
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
rrm
IRP $/MWh Reverue Requirement 11.1218 13.15.16.17.19.22.22.41
Year on Year Increase $/MWh
CY 2001 Actual Average Retaii Rate 48.48.48.48.48.48.48.48.48.48.
Amuallncrease over CY 2001 Retail Rales
Cumulative Increase over CY 2001 Reteii Rates 1.1%10.14.15.17.22.27.27.
Exr'anation of Calcuiations:
row 1
rrm2
rrm3
rrm4
row 5
These calculations assume immediate rate-matOng treatment, i., aJi operating costs are recovere:l t!vaugh rates as ircur~ am all
new capital is included in rate base v.I1en r'aced in 5efVice.
The IRP revenue requirement includes only the il1l"lcts suggested by IRP, including system costs for fuel, variable O&M, emission
aliowa"", impact, start-up cost, marKet contracts, spol market purchases and sates, DSM cosl, am all revenue
requirement costs assodated ,.;th adding incrementat investment in new resources and new transmission.
The IRP revenue requirement excludes .,;sting distribution, transmission and generai r'anl captal and operating costs.
It also excludes the fixed costs of .,;sting generation assets v.\1ich are the same in each patfolio.
An"'aJ revenue requirement for this IRP Portfolio divided by correspon:Jing an",ai MWh Load.Current"",,_inrrm 1 mi"-JS prior year a'JMWh in rrm 1.
Calendar year 2001 reta;; reverkJe divided by retail MWhs sold. Used as a "benchmarK" to whch each
amuallRP reverue requirement increase is axnpared against.
Row 2 divided by row 3
Cumulative sum of rrm5. Arother mettxJdforcatcuiatingtl"is is (ending year $IM\Nh, rON , minus 2004 $/MWh, rrm 1) divided by $48.97.
For exampie, the 2014 cumulative increase of 30.2% is ($23.66IMWh minus $B.B!I'MWh) divided by $48.97/MWh.
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Ch 7 - Results
Figure 7.18 IRP Annual Increase as a Percent of CY 2001 Retail Rates
IRP Annual Increase as a Percent of CY 2001 Retail Rates
111
(,)(,)
c..
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
0 I 2005 2006 2007 I 2008 2009 2010 2011 2012
-+-Di\ersifiedPortfoliol 1.1% 3.5% 2.3% 3.5% 3.8% 1.0% 2.3% 5.1% 4.5% 0.5%
-ll-Di\efSifiedPortfolioll 1.1% 3.5% 3.9% 1.2% I 3.2% 0.7% 3.3% 7.0% 4.0% 0.8%
-.lr-Di\ersified Portfolio III '1% 3.5% 3.8% 1.3% 3.5% I 0.6% ,9% 6.8% 4.6% 0.
--*-Di\efSifiedPortfoliolV 1.1% 3.5% 2.3% 2.3.4% 0.8% 5.9% 4.7% 0.4%
~enewable Portfolio 1.1% 3.6% 14.2% 1.2% 3.6% 1.3% 2.8% I 6.7% 3.4% I 1.2% I I
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Customer Impacts - General Conclusions
Consistent with the PVRR findings, Diversified portfolio I requires the smallest rate increases
using this methodology. Also, as shown above in Figure 7.18, the impacts associated with the
IRP in the early years are similar among all portfolios.
STRESS TESTING
Described in Chapter 3, certain inputs do not naturally lend themselves to randomized variation
within the models. Understanding the nature of these variables and their impact on portfolio
performance therefore requires deliberate manipulation of their values. Model assumptions
selected for this type of stress testing or scenario analysis include:
1) Modifying the assumed value of CO2 allowance costs
2) Removing wind capacity
3) Modifying wind resource cost assumptions
4) Removing wind capacity and the carbon allowance costs
5) Attributing 15% wind capacity to planning margin
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Ch 7 - Results
6) Begin installation of wind one year earlier
7) Replacing Hunter 4 with IGCC in 2012
8) Replace peaking units with CCCTs
9) Varying timing and order of three large East units
10) Altering hydro resources to account for re-licensing impacts
11) Changing West loads to model SB 1149 impacts
12) Modifying the amount and cost of DSM within portfolios
13) Changing the planning margin assumption
Each stress test was designed to provide insight into Scenario and Paradigm risks. The results
the testing are important. They demonstrate that the path ultimately taken by each risk can
significantly alter the risk and cost profile of different portfolios. Collectively, they demonstrate
the need for planning flexibility. Such flexibility in the development of portfolios is the most
practical means of addressing each risk.
Because the scope and number of stress tests is broad, Table 7.8 summarizes them. Details
each analysis follow.
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Ch 7 - Results
Table 7.8 Summary of IRP Stress Test
1) Modifying CO2 Vary CO2 cost. Compare DPI , DP2, DP3 PVRR escalates with increase in CO2
Allowance assumptions of $O/ton DP4, RP allowance cost
Costs $2/ton, $25/ton, $40 to base Greater clarity needed prior to fuel
of $8/ton selection
Renewable and natural gas resources
hedge against CO2 allowance costs
2) Removing wind Remove wind capacity ITom DPI , DP2, DP3 Profiled wind additions reduce costs
capacity the top three portfolios Findings support seeking a greater
understanding of renewables as part of
the resource stack
3) Modify wind Vary assumptions for DPI PTC provides greatest incentive of
resource cost Production Tax Credit (PTC),Renewable development
assumptions green tags, transmission, and Transmission costs have potential to
integration outweigh financial benefits from new
wind
Green tag and integration cost
assumptions are important but not the
most significant factors in the decision
making process
Continuous refinement of wind cost
assumptIOns is necessary
4) Remove CO2 Compare assumption of DPl, DP2, DP3 Very slight increase in PVRR
allowance cost $O/ton CO2 cost and no wind Additional renewables hedge against
and wind capacity m portfolios with CO2 allowance costs but offer
capacity assumptions of $O/ton CO2 imperceptible financial benefit without
cost with wind capacity the allowance cost.
5) Attribute wind Count 15% oftotal wind DPl , DP2, DP3 PVRR declines by $100m for all
capacity to capacity towards planning portfolios
planning margin.Making up for resource reductions
margin existing system generation and market
purchases increase
Further industry analysis required
before % contribution can be
determined for planning.
6) Install wind Move installation of wind DPI , DP2, DP3 Less than 0.2% increase to PVRR.
earlier one year forward to FY 2005 Tradeoff occurs between reduction in
operations costs vs. earlier costs of
acquiring resource
All responses to RFPs will be evaluated
on an individual basis. IRP does not set
a rigid timeline for wind resources (see
Action Plan).
- 120-
Ch 7 - Results
7) Replace Hunter Replace Hunter 4 in 2012 DP3 1.4% increase to PVRR with reduced
4 with IGCC with a Ix 1 CCCT at Mona emiSSIOns
and an IGCC unit Technology advance may improve
availability and lower costs
8) Replace Replace peaking units with DPI -cl % increase to PVRR
peaking units CCCTs featuring an earlier Increase to market sales
with CCCTs installation timeline Reduction in capacity factors of new
CCCTs to 12-37%.
:;.20% capacity planning margm
through 2011
9) Vary the timing Test the impact of changing DP I and DP3 First installation in 2008 superior to
and order of the installation time line of 2007
large East units the three large East resources DP 1 is least cost, however each varia-
tion s PVRR is within less than 1
10) Hydro Removed 214 MW of owned DPl , DP2 , DP3 Large increase, $608 million to PVRR
licensing Hydro capacity in FY 2006.Hydro is a valuable system resource
impacts Replace with Ixl CCCT.Detailed plant specific analysis will be
completed as relicensing occurs
11) SB1149 Removed 400 MW load in DPl , DP2, DP3 Large decrease to PVRR, $1.78 billion
impacts OR and remove West Significant impact to West planning
resources accordingly.Additional transmission loss studies
required
Planned large build in 2007 could be
delayed or decreased due to loss ofload
12 ) DSM Model several program load Provides preliminary guidance in future
Decrements shapes of various load factors DSM program design and valuation
decremented from load files As load factors increase, breakeven
to calculated a decrement program costs decrease
value for the program Distribution costs and program
feasibility must be evaluated outside
this study
13) Change Redesign portfolios from a Gas/Coal I The effect of the lower margin (in MW
planning 15% to a 10% planning Coal/Gas III added) by 2013 is between 500 and 550
MW.margin margm PacifiCorp Build
assumption II and All-Gas II A 10% plannmg margin reqUIres
slightly higher contingency market
participation (7 000MWh/yr vs. 1 000
MWh/hr)
The decision to build to a 10% or 15%
planning margin will be subject to
regional policy issues
*DP = abbreviation for Diversified Portfolio, RP = Renewable Portfolio
1) CO2 Stresses
The results of the carbon dioxide (CO2) emissions allowance cost stresses applied to the
Diversified I - IV and Renewable portfolios are summarized in Appendix E, Tables EA to E.
CO2 emissions are not currently regulated, but may be in the future. As a base case assumption
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Ch 7 - Results
CO2 allowance costs were modeled at $8/ton in all portfolios beginning in FY 2009 for each ton
emitted above the calendar year 2000 total. Likewise, emissions under the cap received an $8/ton
credit. This stress tests the impact to PVRR due to variation of the amount, timing, and cap level
of this assumption.
As discussed in Chapter 3, the CO2 allowance cost is considered to be a Scenario Risk.
Accordingly, upper and lower limits are tested manually to determine the impact to each
portfolio. The following is the profile of modeled CO2:
Base Case $8/ton cap allowance used is CY 2000 actual, beginning in FY 2009
$O/ton, without a cap
$2/ton, cap used is CY 2000 actual, beginning in FY 2013
$25/ton, cap used is CY 1990 actual, beginning in FY 2008
$40/ton, cap used is CY 1990 actual, beginning in FY 2008
Observations
. PVRR escalates with the increase of CO2 allowance cost rate
Existing thermal unit operation decreases with the increase of CO2 allowance cost rate
prompting an increase in market purchases and a decrease in market sales, for both East and
West. Given PacifiCorp s higher than market proportion of coal fired generation, this
finding is intuitive.
East to West transfers decrease and West to East transfers increase as CO2 allowance cost
increases due to reduced operation of new and existing coal and natural gas units and greater
reliance on spot markets.
Total 2009-2023 CO2 emissions at the $40/ton allowance cost rate are 92% of total
emissions in the $O/ton case for each portfolio. These reductions are achieved at a 20-27%
increase to overall PVRR (See Figure 7.19).
. CO2 stresses impact the relative ranking of portfolios, measured by PVRR.
Using the PVRR as a measure, Diversified I placed first at $0, $2, and $8/ton CO2 allowance
cost. Somewhere between $8/ton and $25/ton the merit switches to Diversified IV with
Diversified II placing second. The all gas portfolio, Diversified IV, stays in first place thereafter
as the CO2 allowance cost increases.
Benefits are not limited explicitly to CO2 related costs. Other pollutants follow course with the
CO2 trend, decreasing as the incremental allowance cost increases are applied to CO2
Figures 7.19 and 7.20 below graphically illustrates the key observation of this analysis:
The first three Diversified portfolios remain very close in PVRR for each case.
Diversified IV, the all gas portfolio, remains in fourth position at the low end of the
allowance cost but rises to first position at the higher allowance cost stresses.
The timing of the coal plant installation (2008 vs. 2012) impacts the results of the PVRR
ranking throughout the stress study.
With a low CO2 allowance cost penalty and low cap, the portfolio with early coal
Diversified ranks first. The portfolio replacing west contracts with built resources
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Ch 7 - Results
Diversified ranks second followed by Diversified III which features the late installation of
coal and the retention of West contracts.
As the cap lowers and the allowance cost rate increases, the order of least rank is reversed.
Figure 7.19 PVRR vs. Carbon Allowance Cost Scenarios
CO2 Tax Impacts on PVRR
500,000
15,000 000
500 000
000,000
13,500,000
000 000
500,000
000,000
. . 0 .. Div
-~-
Div2
---tt- Div 3
---,)IE-- Div 4
Renew 1\
$/ton above cap CO2 Tax Rate
- 123-
Ch 7 - Results
Figure 7.20 CO2 Emissions vs. Carbon Allowance Cost Scenarios
CO2 Tax impact to CO2 emissions
900 000
550 000
:~:":...."
r--
":' :.. :... :....:.:... :..:.. :... :..- ""',,:, -
--G:
....- :..:.. :..
Div
Div
----f!r- Div-Div4
Renew
850 000
800 000
~- 750 000
~ 700,000
...
I!! 650
000
....
600 000
500 000 18 26 28
CO2 tax rate $lTon
CO2 Stresses - General Conclusions
Greater clarity on carbon allowance cost issues would be helpful prior to selecting generation
plant fuel type
Renewables should be further analyzed for their potential use as a hedge against
environmental pollutants. The addition of wind resources greatly reduces the range ofPVRR
outcomes of the CO2 stress study.
2) No Additional Wind Capacity
The goal of this stress is to test the value in adding variable wind generation to the system
portfolio. Diversified Portfolios I, II and III each include a gradually ramping, variable wind
resource contract. Under this stress test, the wind contract is removed. Model outputs were then
compared to the base case results of the top portfolios.
The wind resource was modeled as if it were a contract with a third party but attached to a wind
plant with output varying by hour. The output is based upon actual historic generation data from
plants located in each control area with representative hourly distribution shapes for the region.
The pricing of the contract includes the capital cost of plant installation and transmission plus
O&M and system integration. Some of these charges are offset by calculations for the Production
Tax Credit and Green Tags based on the same assumptions as described previously in Chapter 6.
124 -
Ch 7 - Results
By removing the variable wind resource, the following impacts to the top portfolios are
observed:
Portfolio PVRR rises $68 - 75 million due to increase in net variable electricity cost
The variable contract cost line-item declines $1.5 billion due to elimination of the long-term
wind contract. While substantial, this cost decline was insufficient to overcome the increases
in other variable costs.
Emissions expenses rise $78-85 million with a 17 million ton increase in CO2 output from
2009-2023
East market purchases increase slightly; West market purchases increase 10%
In the East, existing coal and peaker units run at slightly higher capacity factors. IRP CCCT
East capacity factor rises by 15% by 2014
West existing resources also ran more often; CCCT capacity factor rises 18%. IRP CCCTs
and peakers also ran more, increasing to 85% and 13% from an average of 78% and 10%
Figure 7.21 illustrates the PVRR differences between portfolios with and without the wind
contract.
Figure 7.21 PVRR With and Without Wind
Removal of Wind Capacity
0:::
c...
12,460
12,440
12,420
12,400
380
360
340
12,320
300
280
260
240
rIJ No Wind
G With Win
Diversified I Diversified II
Portfolio
Diversified III
No Additional Wind Capacity - General Conclusions
Adding wind capacity to the portfolios increases variable contract costs but reduces the
overall PVRR.
Wind reSUllrces reduce the capacity factors of existing and new units.
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Ch 7 - Results
With the above improvements come cost uncertainties, listed and analyzed in the next
section.
This stress shows the wind as having an overall positive impact to the system costs and reduction
to emissions and supports the continued pursuit of greater understanding of integrating
renewables as part of the future resource mix.
3) Analysis of Wind Resource Variable Cost Impacts
Modeling shows wind resources reduce portfolio costs and risks. The purpose of this stress
section is to identify the impact associated with the unique renewable energy cost assumptions.
Many of these assumptions are uncertain and will impact the cost of developing and contracting
for wind resources. Therefore, understanding the results in light of the value imputed by key
cost assumptions is important. If these assumptions are stressed up or down, the modeling results
may vary and change the pricing of the resource. Specifically, key variables are varied to observe
the impact on the Diversified I portfolio.
The key variables in the Wind Resources of the Hybrid Portfolios include:
Production tax credit (PTC)
Green tag value
Transmission
System integration charges
Carbon allowance costs
Application of built wind capacity to planning margin
Each of these variables will be defined and quantified as they relate to the Diversified I portfolio.
Production Tax Credit
This tax incentive applies to new wind and geothermal plants with the intent of bringing their
costs in line with other thermal resources. In the model, the tax credit applies to wind projects for
the first 10 years of operation at $18/MWh. The credit also applies to new geothermal plants but
only for the first 5 years of operation. Annual net operating expenses are directly credited at
$18/MWh for each MWh produced by wind and geothermal plants for each year the incentive
applies. This is an effective simplification for applying the cost. In reality, the benefits of the tax
credit do not apply to the bottom line in such a straightforward manner.
The future of this tax credit is unknown. Although it has been extended through 2003 , PacifiCorp
assumes it will be continually extended. The PTC is assumed in effect for the life of the study,
2023. For the base case wind resources, the production tax credit reduces the 20-year PVRR by
$353 million.
Green Tags
Green tags represent the environmental attributes of renewable energy. Such attributes can be
traded between parties and therefore have a dollar value. With such value green tags help lower
the installation and production costs of renewable power.
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Ch 7 - Results
Green tags are the result of policy incentives to encourage renewable energy production.
Incentives like the Federal Renewable portfolio Standard or similar state requirements are
particularly important. At present, there is no federal RPS. Furthermore, with the exception of
California, PacifiCorp s service territory does not fall within a state featuring an RPS.
Independent of legislative requirements, utilities in the future could set proprietary renewable
targets independent of a RPS.
Regardless of the outcome of the RPS or similar legislation, green tags are expected to be of
value.
No RPS: If a Renewable portfolio Standard does not pass, green-specific energy would not
be required for PacifiCorp s proprietary consumption. Thus , all tags would be available for
trading.
RPS Implemented: IfRPS is implemented, PacifiCorp s renewable generation allows it to
avoid the market costs of procuring tags. Tags for generation above the Standard would be
marketable.
While retaining some value independent of a legislative mandate, the amount of that value is
uncertain.
In the model, new wind and geothermal plants are assumed to have a green tag value of $5/MWh
for the first five years of production. This rate does not change through time, effectively reducing
their value by inflation each year. In the hybrid portfolios, the green tags reduce the overall
PVRR by $58 million. Table 7.9 shows the impacts to the 20-year PVRR and relative portfolio
ranking when the tag value is increased to $9/MWh as well as if there was no material value for
tags in the future ($O/MWh).
The key finding of this study is that changing green tag assumptions, alone, is not enough to
impact the portfolio rankings. With no value for the green tags, the PVRR for this portfolio
increases less than I %. Diversified I retains its least cost rank compared to the same portfolio
without the wind resources. Higher tag values increase the portfolio s advantage. Therefore, the
future value of green tags alone does not appear to impact the overall decision to add wind
resources to the portfolios.
Transmission
One major uncertainty associated with planning for new wind sites is the location of those plants
and the additional transmission requirements to get generation into PacifiCorp s system. In the
model, there are four separate locations for wind plants:
Central Oregon
South central Washington
Wyoming, and
Utah
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Ch 7 - Results
Estimated transmission costs range from $2/MWh to over $4/MWh. As demand for wind sites
grows, those most convenient to transmission may be developed first, leaving those sites
requiring transmission upgrade investments with higher $/MWh expenses.
In the base case for the Diversified I Portfolio, transmission ranges from $2-4/MWh. For an
estimated low case, transmission costs were assumed to be half that cost and at the high end
transmission was stressed to three times the base value. Table 7.9 and Figure 7.22 show that only
by assuming transmission costs are three times the base assumed value will the overall cost of
adding wind to the portfolio outweigh any financial benefits.
System Integration Costs
The impact on system operations from adding large variable wind capacity into resource
portfolios is unknown. PacifiCorp has begun to quantify the costs of integration by breaking it
into two elements, system imbalance, and incremental operating reserves. Appendix J contains
the detailed methodology and results from this study. In summary, for 1 000 MW of variable
wind capacity in either the East or West sides of PacifiCorp s system, the results of the study
estimate integration costs to range from $5-$6/MWh.
In the model, it's assumed that integration costs will increase with installed capacity according to
the methods determined in the study. For the base case results for each hybrid portfolio
integration costs of the wind resources add $42 million to the 20-year PVRR. To stress these
assumptions, the low end assumption is that integration costs are negligible to the system and at
the high end, integration costs are set at twice the estimated base value. This range results in
PVRRs +/-5% of the base. Due to this relatively small impact on the Diversified I portfolio
system integration costs alone do not impact the financial decisions to add additional wind to the
system.
Table 7.9 Diversified I Stress to Renewable Uncertainties
Variable Low Base Hiah AssumDtion
Green Tag Credits ($/MWh)1 st 5 years
PVRR ($OOOs)266,974 313 159 370,888
Change from base (46,185)729
Integration costs 1/2x base base 2x base Base = $5-$6/MWh
PVRR ($OOOs)271 021 313,159 355 296
Change from base (42 138)137
Transmission 1/2x base base 3x base Base = $4-$6/MWh
PVRR ($OOOs)262 554 313 159 12,421 585
Change from base (50,605)108,426
Production Tax Credits ($/MWh)1 st 10 years
PVRR ($OOOs)313 159 313,159 665 879
Change from base 352,720
CO2 Tax ($/ton)(see CO2 stress)
PVRR ($OOOs)081,433 12,313,159 630 030
Change from base (231 726)316,871
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Ch 7 - Results
Figure 7.22 Diversified I Wind Stresses
Stresses to Wind Cost Variables
700
650 ~
......................................................................................................... ...... ....
Coal/Gas III
20yr PVRR
600
550
~ 12 500
,- 12.45012,400 Diversified I
............................................................................ ..... ...................... ...... ....
without wind
12,350 20vr PVRR
250
...... ....
Diversified i
20yr PVRR300
200
Green Tag Credits Integration Costs Transmission Production Tax Credits
I!!ILow . Base DHigh
4) CO2 Allowance Cost
The future of the carbon allowance cost is a federal environmental policy decision beyond
PacifiCorp s control but it has potential to greatly impact system operations and long-term
resource planning. It is clear that the addition of zero emissions resources to the system when
there is a CO2 allowance cost would most likely have a financial and environmental benefit to
the company. This stress tests what the result would be if zero emission resources were added
without the policy incentive of a large carbon allowance cost.
The variable wind resource and the $8 carbon allowance cost were removed from Diversified
Portfolios 1 through 3. The model run results were then compared to the base case results with
wind and $O/ton CO2 allowance costs. The resulting range of PVRRs rose very slightly (0.04%
to 0.17%) without the wind. This stress shows that the addition of wind to the portfolio still
produces a reduction to PVRR when there is no carbon allowance cost.
This result was surprising but can be explained by the large reduction in net variable (dispatch)
costs, which exceed the costs associated with acquiring the wind capacity. Since the carbon
allowance cost is set at zero for both cases, the variable cost reduction is mostly due to the lower
fuel use and reduced emissions which produce credits for NOx and SO2 emissions below their
cap levels. The wind contract displaces new and existing thermal resources and increases market
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Ch 7 - Results
sales while reducing market purchases. The final substantial cost components, which reduces
variable operating costs, are renewable credit adjustments for green tags and the production tax
credit. These credits can be classified as offsetting some of the increased variable contract costs
associated with acquiring the variable wind resources.
Figure 7.23 Combined Carbon and Wind Stress
$12 500
$12,400
$12,300
;; $12 200 '
;;,
$12 100
$12 000
$11 900
Divl Divll Divlll
. $0 no wind ITII $0 w/wind IiJlIJ $8 no wind IZJ $8 w/wind
The probability of any of these CO2 allowance cost outcomes is unknown. Model results show
that renewable resources can displace thermal resources as a hedge against the high allowance
cost scenarios and have little benefit under no allowance cost scenarios.
5) Application of Wind Capacity to Plannine: Mare:in
The portion of wind capacity modeled in the Renewable, Alternative Technology I and II, and
Diversified I-IV portfolios does not contribute to the planning margin. This very conservative
assumption is based on the variability of generation output expected from a wind site that can be
0 MW when the wind speed is too low or too high for energy production.
This assumption was stressed by restructuring Diversified portfolios I, II, and III to attribute 15%
of new installed wind capacity towards the 15% capacity planning margin. As a result of this
addition to capacity margin, other new resources were decreased an equivalent amount to
maintain the 15% system planning margin. To do so, the flat market contract contained in each
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Ch 7 - Results
portfolio was decreased by an amount equal to 15% of the new wind capacity as calculated in the
following table.
Table 7.10 Application of 15% Wind Capacity to Planning Margin
15% Wind Capacity Stress
Diversified Portfolio 1
Fiscal Year 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
East Wind Capacity (MW) 200 200 400 400 600 600 720
West Wind Capacity (MW) 100 100 300 300 500 500 700 700
Total System Wind Capacity (MW) 100 300 500 700 900 1100 1300 1420
15% Total Wind Capacity (MW)75 105 135 165 195 213
When compared to the base case for results, the system was impacted as follows:
PVRR decrease of $103-$107 million
$34-$36 million increase in emissions costs contributing to the PVRR
11 % increase in West market purchases, 5% decrease in West market sales
No change to East market activity
New and existing CCCTs and peakers in the West run at 3-6% higher capacity factors
Capacity factors of new East CCCTs increase from 48% to 52%.
East to West transfers increase by 8-13% in 2014 over the base case results, West to East
transfers decrease 5-9% by 2014.
15% Wind Capacity - General Conclusions
This analysis shows there is a benefit of approximately $100 million (1 %) to overall system
PVRR when a portion of wind capacity contributes to planning margin. Less additional
generation is needed in the future to meet the planning margin when some percentage of wind
output is included in the load and resource balance. With the reduction in new resources, existing
resources run harder but not at inefficient levels for their resource type characteristics.
If the built wind capacity did contribute to the planning margin at its expected capacity factor of
32-36% 12, the amount of new capacity installed in the system through 2013 could be reduced by
approximately 475 MW. This would reduce the capital investment in the portfolio and lower the
overall PVRR. With increased knowledge and comfort of wind operations, PacifiCorp intends to
revisit this assumption. Currently, there is not an industry standard for the percentage of wind
capacity attributable to planning margins. Further system analysis, including a loss of load
probability (LOLP) study, would help to give a reasonable estimate of the impact of wind
variability on system operations.
12 Profiled wind is modeled assuming availability of 32-36% consistent with the historical output of known, wind
generation resources.
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Ch 7 - Results
6) Early Installation of Wind Resources. FY 2005
The modeled wind resources in Diversified I - IV, Renewable, and Alternative Technology I and
II portfolios begin installation in FY 2006 at 100MW and grow to 1 420 MW by FY 2013. Since
these wind resources do not contribute to the planning margin, the decision to start wind
production in FY 2006 was based on the assumed build time for new wind sites including siting,
permitting, and construction, not the need for additional capacity. It is possible that new wind
resources can be added to the system even earlier than April 2005 if some projects are already in
some stage of development.
In this stress case, PacifiCorp assumed each of the wind plant installations could be moved
forward one year in the new resource plan. This stress was tested on Diversified Portfolios I - III
with the following results:
Less than 0.2% increase to PVRR ($11-$14 million)
$6-$7 million decrease in emissions costs contributing to the PVRR
3% decrease in West market purchases, 6% increase in West market sales
4% increase in East market sales
No change to unit performance or system transfers
Early Wind Installation - General Conclusions
The decrease in operating costs associated with earlier installation does not offset the increase in
time value of costs for acquiring the new resources. The difference is practically insignificant
and does not rule out the possibility of entering wind resource contracts before FY 2006. All
opportunities for new resources will be evaluated on an individual basis. The model is one
representation of a schedule for acquiring new wind resources but the true outcome will be based
upon what sites are available and how they fit into the greater system plan.
7) Replace Hunter 4 2012 with IGCC
Integrated gasification combined cycle (IGCC) is a clean coal technology that utilizes a coal
gasification process to produce clean fuel gas that can then be used to fuel a combined cycle
natural gas turbine. Recognized for achieving slightly lower pollutant emission levels and higher
efficiencies than a conventional coal-fired plant, PacifiCorp will continue to follow this
technology for future additions as the technology becomes more established and the cost
decreases.
In this stress case, the FY 2012 575MW Hunter 4 unit from Diversified portfolio III is replaced
by a 370MW IGCC unit at the Hunter location plus a 1x1 CCCT at Mona. The IGCC plant has a
more efficient heat rate of 8 311 MMBtus compared to 9 483 MMBtus for Hunter 4 but with this
improvement to efficiency is a tradeoff of greater fuel cost, YOM, and a higher outage rate.
This stress was run only on Diversified Portfolios III with Hunter 4 in 2012 and produced the
following results:
1.4% increase to PVRR ($177 million) due to increased operating costs
$74 million decrease in emissions costs contributing to the PVRR
No change to market sales or purchases
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Ch 7 - Results
. 2% increase in East existing coal capacity factors, 9% increase of new East CCCTs
Slight increase (2%) in West CCCT Capacity factor to compensate for 13% reduction in East
to West 2014 transfers
IGCC vs. Hunter 4 - General Conclusions
The replacement of traditional coal technology at Hunter 4 for IGCC in 2012 would increase
overall system costs based on cost information and unit performance characteristics available
today. The cleaner technology produces lower emissions but at a higher cost. PacifiCorp will
continue to monitor the development of this technology for cost reductions and operational
improvements.
8) Replace SCCTs with CCCTs
All the portfolios in this study contain a combination of simple cycle combustion turbines
(SCCTs) and combined cycle combustion turbines (CCCTs) which were installed based upon the
size and timing of the resource gap, as defined in earlier chapters under portfolio development.
SCCTs were mainly added to the portfolios as reserve peakers, providing the capacity to meet
the 15% planning margin for the system. Resources were added such that the 15% planning
margin was closely met for each year from 2007 through 2013. The peaking units operate
between 2-6% capacity factors throughout the first ten years.
The purpose of this stress is to test the impact of gradually adding reserve peakers to the system
compared to installing CCCTs up front. Instead of adding small increments of capacity through
time in the form of low efficiency reserve peakers, the system resource plan could be redesigned
to provide excess (greater than 15%), high efficiency capacity with CCCTs added earlier in the
planning process. This methodology results in a heavy up-front build, into which the system
demand would grow.
The Diversified portfolio I was first reconstructed by combining the 500MWs of East reserve
peakers (200 MW in 2006 and 300MW in 2013) into a FY 2007 CCCT at Mona and replacing
the 460MWs of West peakers (230MW 2006 230MW 2012) with a FY 2007 CCCT at Klamath
Falls. The following observations were noted when compared to base case results:
~1 % increase to PVRR ($25 million), greater increase to fixed costs than the reduction to
variable costs
$31 million increase in emissions costs contributing to the PVRR
Increase to market sales and decrease of purchases
Substantial reductions to CCCT capacity factors, 12% capacity factor in the West, 37%
capacity factor in the East.
13% reduction in East to West 2014 transfers
Replace SCCTs - General Conclusions
Replacing SCCTs with CCCTs in early years results in a capacity planning margin greater than
20% through 2011. Along with this high level of build is an increased reliance on the market for
sales of excess generation. The financial tradeoffs of increased capital from early investment is
not fully compensated by the increase in market sales and reduced use of less efficient units
causing the PVRR to remain slightly higher than the base case. The resulting capacity factors of
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Ch 7 - Results
the CCCTs in both the East and West decrease substantially such that the performance of
existing CCCTs is more characteristic of an SCCT. At this level of capacity planning margin
retaining the peaking type resources for reserves seems beneficial due to the lower reliance on a
sale market and more optimum use of new and existing resources.
9) Timin\! of Lar\!e East Units
Common to all top four portfolios are three large base-load type units in the East. These units
include the Gadsby Repower, Mona CCCT, and Hunter 4 options. This study determined that the
unit timing of Diversified portfolio I with Hunter in 2008, Gadsby in 2009 and then Mona in
2012 yields the least cost. PacifiCorp recognizes that the many Paradigm risks and industry
scenarios could greatly impact future resource decisions including installation and fuel type. The
purpose of this stress is to quantify the impact to PVRR from shifting the timing and type of
these three large resources.
Two portfolios were used for this stress test, Diversified I and Diversified III. Recall that
Diversified III installs three major units in years 2007 , 2009, and 2012 and Diversified I plans for
units in 2008 , 2009, and 2012. The following table illustrates the timing variations studied.
Scorecard results for these model runs are in Appendix E, Table E.13.
Table 7.11 Resource Timing
Portfolio Name Case 2007 2008 2009 2012 PVRR ($billion)% chance
Diversified I Base Hunter 4 Gadsby Mona 12.313 00%
Variation 1 Gadsby Hunter 4 Mona 12.325 10%
Variation 2 Gadsby Mona Hunter 12.317 03%
Variation 3 Gadsby Mona Mona 12.395 67%
Diversified III Base Gadsby Mona Hunter 4 12.360 38%
Variation 1 Gadsbv Hunter 4 Mona 12.371 47%
The following observations were noted when comparing each variation to the corresponding base
case results:
Variations produce a ,1 % increase to PVRR ($4-$82 million)
Installing the first unit in 2008 vs. 2007 provides the greatest reduction to PVRR, regardless
of fuel type
Variations with Hunter 4 in later years show greater benefit in emissions reductions.
Market activity is unchanged
Unit capacity factors and system transfers by 2014 are unchanged
Timing of Units - General Conclusions
Diversified I contains the least cost resource mix. Alternatives to the timing of large resources
negatively impact the 20-year PVRR. However, cost changes ranged by less than 1 %. While the
Diversified I configuration is superior, the difference could arguably be described as statistically
insignificant. Due to the small magnitude in PVRR difference between portfolios, the Action
Plan for acquiring resources can remain flexible without sacrificing a statistical advantage.
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Ch 7 - Results
10) Hydro Licensinl! Impacts
A large percentage ofPacifiCorp s hydro resources are involved in some stage of the re-licensing
process. In this stress case, PacifiCorp assumed approximately 200 MWs (18%) of owned hydro
resources are not successfully relicensed. The 200 MW is a combination of run-of-river and
peaking resources in the West control area. These resources are removed and replaced by two
additional SCCT peaking units totaling 230 MW. This stress models the impact of losing an
existing low cost resource and replacing it with resources with similar capabilities.
This stress was run on Diversified portfolios I - III. When compared to the base case for results
the system was impacted as follows:
. PVRR increase of $608 million due to increase in capital and operating expenses
. $20-$22 million increase in emissions costs contributing to the PVRR
16% increase in West market purchases, 8% decrease in West market sales
. No change to East market activity or unit performance
. New and existing CCCTs and peakers in the West run harder
East to West transfers increase by 11-22% in 2014 over the base case results, West to East
transfers decrease 5-15% by 2014.
The new, replacement resources required to meet this resource s profile tend to be more
expensive to run relative to market purchases and imports of excess East generation. Therefore
West purchases and East/West transfers increase to cover West load.
Hydro Licensing - General Conclusions
This analysis shows hydro to be a valuable system resource. With the loss of 200 MW of hydro
resources, units operate at higher capacity factors and spot market purchases increase in the
West. The East assists the West by transferring more and receiving less. Hydro is a flexible low
cost resource which meets PacifiCorp s system needs well.
The IRP assumes all owned hydro plants would be relicensed. Detailed, plant-specific hydro
analysis would be required prior to changing this assumption. This will be done as plant
relicensing occurs.
11) Loss Of Load - 400 MW In Orel!on (SB 1149 Potential Impact)
The major assumption for this stress case is that with restructuring legislation (SB 1149),
PacifiCorp may lose some commercial and industrial customers in Oregon. For purposes of
stress testing, an assumption was made that approximately 400 MW of flat commercial and
industrial load are removed from the West Main transmission area in July 2003.
To reflect this loss , the model was adjusted to remove 400 MW from the load each hour and the
mix of resources in the Hybrid portfolios was reduced to reflect a decrease in capacity
requirement. Only new resources in the West were removed for this stress case along with their
associated transmission costs. Portfolio resource reductions include the following. The 500 MW
off-peak contract which is present in every portfolio and expires in 2006 was reduced to 400
, the 2007 2xl West CCCT was reduced to a lxl and the 230MW of new peakers in the
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Ch 7 - Results
West for 2006 were removed. Even with these resource reductions, the portfolios still attain a
15% planning margin requirement.
In addition to adjusting the portfolio resources for loss of load, system transmission capabilities
would also have to be reduced. This step will require further analysis with more detailed
assumptions for customer load factors and locations. Due to the complexity of these adjustments
this analysis was completed with the loss of load and resource adjustment but will require further
analysis for transmission impacts. The results are considered preliminary.
Compared to the base case scorecard results for the Diversified I - III portfolios, system
operations are impacted as follows:
PVRR decrease of$1.78 billion due almost entirely to reduction in variable operating costs.
Only $350 million of the reduction is due to capital costs.
$80-87 million reduction in emissions cost contribution to PVRR
Purchases in the West decrease 40% and West sales increase 20%
East new and existing resources operated at slightly lower capacity factors
West new and existing CCCT capacity factors greatly decreased
The PVRR results for the scorecard comparison do not determine if the loss of load would be
beneficial or detrimental to the system. The best method of evaluating the system performance is
by looking at the 20-year, weighted average variable power and incremental fixed costs on a
$/MWh basis before and after the loss of load. Table 7.12 shows the comparison of before and
after $/MWh. In summary, the loss of load resulted in a $1.30/MWh reduction in incremental
system costs. These preliminary results do not include the system impacts due to reduction in
transmission capabilities.
Table 7.12 Loss of Load Comparison
Portfolio
Diversified I
Diversified
Diversified III
Stress
IMWh
13.
13.
13.
Difference
IMWh
These results do not include impacts to existing transmission
Loss of Load - General Conclusions
The loss of a flat block of load in Oregon greatly impacts West operations but does not
significantly impact the East, other than providing more transfers into the East system. The
overall PVRR is greatly reduced but change to system costs on a $/MWh basis provide a more
meaningful summary of impact due to the stress situation. These results show that the loss of
load reduces incremental $/MWh costs. This result is preliminary since it does not include an
adjustment for impacts to transmission capabilities associated with these customers. The West is
still considered slightly overbuilt in this scenario since market sales increase, purchases decrease
and unit capacity factors are reduced. In 2007, when the large long-term purchase contracts
expire, it is unlikely there would be a need to build with this magnitude loss of load. More
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Ch 7 - Results
likely, PacifiCorp would continue to purchase long-term contracts. An option would be to build
or buy smaller resources as modeled through this stress.
12) DSM Decrement
Modeling Results
The effect of increasing the amount of DSM was tested. Since DSM reduces load, the effect of
increasing DSM is called the DSM decrement. The nominal results of the DSM decrement runs
through 2012 are summarized in Tables 7.13 and 7.14.
For each decrement case, the Revenue Requirement of the Diversified portfolio I containing the
base load forecast was compared on a year by year basis with the new decrement case Revenue
Requirement with the load decrement. Appendix G details how these decrement runs were
designed and includes their detailed results.
Table 7.13 compares the break-even incremental $/MWh value of potential Class 2 DSM
programs for the first few fiscal years for each decrement. These values were calculated for the
entire planning period and can be found in Appendix G.
Table 7.13 Decrement Results Summary (nominal $/MWh) For Class 2 DSM Programs
Decrement 2004-2008 2009 2010 2011 2012
Case
D150-234 188 189 181
D300-
D 150-
D300-
These nominal decrement value results per MWh can be compared to the nominal market prices
per MWh for those same years from Table C.25:
Table 7.14 Nominal Market Prices
Market Prices
As load factors increase, the break even program costs decreased.
The 1 % load factor decrements model a load control type of Class 1 DSM program. Since the
PROSYM model cannot dispatch load decrements, these decrements were selected based on
peak load days in one year, and the same days repeated over the duration of the planning period.
The nominal decrement value of these decrements is shown in the Table 7.15 over the first few
years of the decrement period. Model results for the entire planning period can be found in
Appendix G.
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Ch 7 - Results
Table 7.15 Decrement Results Summary (nominal $000) For Class 1 DSM Programs
Decrement
Case
D150-
D300-
887
197
605
663
607
415
853
777
2004-2008 2009 2010 2011 2012
One 100MW East reserve peaker was removed from 2006 for each of these model runs.
These 1 % load factor decrement values reflect the break-even nominal value in each year of the
capability to curtail loads by 150 MW and 300 MW respectively. PacifiCorp should not pay
more than the lessor of these values or a like market instrument for this load interruptability.
DSM Decrement General Conclusions
This study provided preliminary guidance in the future design of DSM programs for the system.
Focus should be given to lower load factor programs that match peak without excluding
opportunities to conduct programs with higher load factors.
Actual program designs , as they build to higher annual DSM levels (above the base 15 MWa
/year) for FY2004 and beyond, will be run through the model and the nominal Revenue
Requirements will be compared to the base revenue requirements. A bundle of programs
achieving an additional 300 MWa over 10 years that can be implemented with a reduction in
revenue requirements using this decrement analysis will be cost effective. Distribution benefits
because they are very local and specific to load characteristics in a distribution area, will be
considered as individual programs are designed.
This modeling effort can not determine the feasibility of achieving 450 MWa of DSM in the
PacifiCorp service territory over the next 10 years. The Action Plan includes an effort to
determine the actual, realistic market potential for DSM in the PacifiCorp service territory.
Future goals may be adjusted to reflect actual market potential.
13) Reducine the Plannine Marein
The initial portfolios were built to meet a 15% planning margin. The effects of reducing the
planning margin from 15% to 10% were originally tested on the following portfolios: Gas/Coal
Coal/Gas III PacifiCorp Build II and All-Gas II. It is expected that the impact of planning
margin reductions would be similar on other portfolios including the Renewable and four
Diversified Portfolios. Comparisons between portfolios with very similar resource blends built
to different planning margins show the impacts to system reliability, costs and risks associated
with varying levels of available resources.
PacifiCorp s needs are met with a slightly different mix of generation when moving from a 15%
to a 10% planning margin. The lower margin changes the level of emissions, market purchases
and sales, unit capacity factors and East-West energy transfers. The effect of the lower margin in
megawatts added by 2013 is between 500 and 550 MW.
The Scorecard for the portfolios with a 10% Planning Margin is included in Appendix E, Table
- 138-
Ch 7 - Results
PVRR
A lower margin (from 15% to 10%) is shown to consistently reduce the 20-year PVRR by
between $100 million and $325 million, or between 0.8% and 2.5%. A major factor in this cost
reduction is a reduction in present value levelized fixed costs of between $300 and $375 million
(12-17%). This is partially offset by an increase in net electricity costs. In the all-gas portfolios
the reserve margin reduction yields $330 million savings in PVRR levelized fixed cost, offset by
an increase of $220 million in PVRR of net electricity cost. In contrast the Diversified Gas/Coal
I portfolio shows a $375 million reduction in PVRR levelized fixed cost, but only $50 million
increase in PVRR of net electricity cost.
Emissions
The level of emissions from PacifiCorp-owned resources will not materially change when
moving from a 15% to 10% planning margin. The reduced capacity results in higher peaking
unit use and additional market purchases over the 15% case. NOx and SO2 emissions increase
only slightly. CO2 and Hg emissions should not change.
Unit Capacity Factors
As mentioned, the major differences in supply under a 10%
additional market purchases and increased peaking unit usage.
peaking units remain consistent.
planning margin come from
The capacity factors of non-
Market Sales and Purchases
Market purchases will increase by a moderate amount when implementing a 10% planning
margin. The scorecard shows that lO-year average purchases (2004-2013) are expected to
increase by less than 10 MWa. A snapshot of any year beyond 2013, after all resources in the
IRP have been installed, shows that annual purchases in the East increase by approximately 10%.
West purchases increase by closer to 6%.
PacifiCorp s market sales decrease with the decreased availability of assets from which to sell.
East West Transfers
The effect of a 10% planning margin on East -West transfers will depend upon how the reduction
in capacity is implemented. If the 10% planning margin is accomplished via an equal reduction
in planned peaking units in both the East and West control areas, West-to-East transfers will
increase marginally (typically in the 5% range) in a diversified portfolio versus the 15% planning
margm case.
Contingency Market Purchases
PacifiCorp understands that less routine events, such as multiple unit outages, low hydro
availability or high load, occur, and has therefore incorporated in its modeling the ability to
access the electricity markets on a contingency basis. For modeling purposes, these electricity
purchases are available as a resource under unusual operating conditions - used only after owned
assets (and regular markets) have been exhausted. However, energy available from this source is
limited. The market size approximates 15% of an area s peak load.
- 139-
Ch 7 - Results
In the portfolio runs with a 15% planning margin, contingency markets were typically relied on
for about 1 000 MWh/year (or about 0.002% of total annual system load) - due to randomly
occurring multiple forced outages. This is a very low level of contingency market participation.
A 10% planning margin will require slightly higher contingency market participation. The
portfolios tested with a reduced planning margin generally purchased about 7 000 MWh/year (or
about 0.01 % of total annual system load) from the contingency markets.
Risk and Planning Reserves
Figure 7.24 graphically demonstrates the effect of changing planning reserve margin
requirements. It compares PVRR, 95th and 5th percentile PVRR as well as the mean of the tail
for pairs of portfolios that have a 10% and 15% planning margin. The observations for the 15%
planning margin are higher for each measure. Given the additional capital costs of building to a
higher planning margin, this should not be surprising.
Figure 7.24 Planning Margin Comparison
Risk Summary
15%vs 10%Planning Margin
III
...
$8,300,
Divers~ied Divers~ied Divers~ied Divers~ied Ali Gas Ii - Ali Gas II - Paciftorp
Gas/Coal 1 - Gas/Coal 1 - Coal/Gas iii Coal/Gas III 15% 10% Build II -15% 10% - 15% - 10% 15%
Paciftorp
Build II -
10%
05%. Deterministi!(J 95%LJ Mean ofTail
Reserves, if effectively deployed, should reduce risk. Although all measures for 15% portfolios
were higher, the additional cost may be acceptable if risk is improved by a greater margin.
Figure 7.25 attempts to convey this issue. It illustrates that risk is reduced.
- 140-
Ch 7 - Results
Figure 7.25 Differences Between Planning Margins By Category
Differences Between Planning Margin by Category
D:::
D:::
:;::.
250 000
350,000
Positive values occur
w~h the 15%
observation exceeds
the 10% observation
~ 150,000
000 rn Gas/ Coal I
. All Gas II
D Pac Build II ,
(50 000)
(250 000)
Observation Category
Figure 7.25 demonstrates that additional planning margin reduced risk. Observe the 5% - 95%
Spread. This measure begins by taking the difference between the 5th percentile and the 95th
percentile for each portfolio. The difference approximates the range of expected outcomes, a
reasonable representation of risk. Next the 5% - 95% Spread is determined by subtracting the
calculation above for the 10% portfolio from that found for a 15% portfolio. As expected, the 5-
95 spread for each 10% portfolio exceeded that of its 15% counterpart. Thus, the risk or range of
expected outcomes under 10% planning margin portfolios is greater than that of the 15%
planning margin portfolios.
Now observe the relative size of the expected PVRR as plotted on Figure 7.25 and the
corresponding 5% - 95% Spread. The difference between the PVRRs of the two portfolios is
much greater than the difference between the 5% - 95% Spread measurements. If the additional
reserves adequately offset risk, the reduction in risk (represented by the 5% - 95% Spreads)
should equal or exceed the expected investment needed to realize it (represented by the PVRR).
Therefore, it can be tentatively concluded the dollar investment in the added resources is not
accompanied by a commensurate reduction in risk.
The above risk conclusions are tentative for the following reasons.
This is a 20-year study assessing investments of billions of dollars. While certain
observations appear different, it could be reasonably argued that the study is necessarily too
- 141 -
Ch 7 - Results
blunt an instrument to confidently distinguish relatively smaller differences among
observations.
While the risk reduction does not appear favorable compared to the investment needed to
realize it, the investment is not without merit. The adequacy of an investment-risk tradeoff is
somewhat subjective. Different people, different states and different groups have different
sensitivities and preferences for risk.
Reduced Planning Margin Conclusion
While the appropriateness of the capital - risk tradeoff remains to be resolved, the decision to
build to a 10% or 15% planning margin will be subject to regional policy issues like RTO and
SMD. Fortunately, the build time required to install additional capacity neatly overlaps the
proposed resolution times of these issues. Current developments could be delayed or future
acquisitions eliminated to conform the plan to the then current SMD requirement. Clarity on
RTO and SMD should be achieved before PacifiCorp can build to a 10%, much less 15%
planning margin.
142 -
Ch 8 - Conclusions
CONCLUSIONS
OVERVIEW
The goal of this Integrated Resource Plan (IRP) is to develop a clear plan and strategy which will
help ensure:
PacifiCorp fulfills its obligations to serve its customers
PacifiCorp delivers the most economic solutions for both its customers and shareholders
The risks to the customers and to PacifiCorp are reduced
A high level of stakeholder concurrence with PacifiCorp s resource plans and
implementation decisions is obtained
The markets in which PacifiCorp operates are continually developing and changing. It is critical
that the plan and actions arising from this IRP lead to a solution which allows PacifiCorp the
flexibility to adjust to the changing operational environment and at the same time provide as
much certainty and stability as possible for PacifiCorp and its customers.
This Chapter summarizes the main conclusions and key findings outlined in the report from
which the Action Plan (Chapter 9) is developed.
PORTFOLIO SELECTION
PacifiCorp s current position (Chapter 2) reveals a substantial need for new resources. This gap
analysis also outlined how the two control areas, PacifiCorp West and PacifiCorp East, have
different resource and transmission issues. This difference results in a different balance of loads
and resources for each side of the system. Resolving the gap economically and reliably was the
focus ofPacifiCorp s planning process.
The analysis of the analytical results (Chapter 7) confirm that the Diversified Portfolio I is the
least-cost, lower risk portfolio to fill PacifiCorp s long-term resource needs based on the
forecasted customer demand.
Table 8.1 is a summary of the total MW, timing and capital cost associated with specific
resources contained in Diversified Portfolio I. A more comprehensive summary of this portfolio
can be found in Appendix D.
- 143-
Ch 8 - Conclusions
Table 8.1 Diversified Portfolio I Resource Addition Summary
Location Resource Total MW Fiscal Year Installed Capital Cost
(MM $2002)
East Class 1 DSM Programs Begm in
2004
Class 2 DSM 123 Programs Begin m
2004
Super Peak Contract 225 From 2004-2007
Incremental 25 MW
Thermal Contract 175 purchases beginnIng
in 2006
Peakers 700 200 MW - 2006 360500 MW - 2013
200 MW - 2007
Wind 720 200 MW - 2009 720200 MW - 2011
120 MW - 2013
Coal Base Load (Hunter 4)575 2008 800
CCCT (Gadsby Repower)510 2009 310
CCCT (Mona)480 2012 340
West Class 2 DSM Programs Begin m
2004
Flat Off-Peak Contract 500 From 2004-2006
Incremental 25 MW
Thermal Contract 175 purchases beginning
in 2006
Peakers 460 230 MW - 2006 220230 MW - 2012
100 MW - 2006
Wind 700 200 MW - 2008 700200 MW - 2010
200 MW - 2012
CCCT (Albany)570 2007 325
Flat Contract (7x24)200 2011
Peaking Contract 100 2012
Figure 8.1 illustrates how the resources in the Diversified Portfolio I fill the capacity requirement
for the 2004 to 2014 time period. The Class 1 and Class 2 DSM programs in Diversified
Portfolio I have been included as a decrement to the load forecast, which is used in the
calculation of the L/R balance. Since PacifiCorp assumed no capacity credit for wind, the wind
capacity in the Diversified Portfolio I is not included in this figure.
144 -
Ch 8 - Conclusions
Figure 8.IRP Capacity Requirement Breakdown -Rounded to the Nearest 100 MWs
Existing Resources Resource Additions
15% Pla
~ (
Margin (2014)L/R Balance
(2004)'
L/R w/15%
(2004)"
Retirements!
De-Rates
Contract
Expiration Load Growth Base Load Peakers
PPA's &
Shaped Prdts
1000 1
100
- _u - JItOu -(1000) - - - - - - - ~
(2000)
(3000)(500)
---------------
(4000) - - - - - - -- - - - - - - - '
- - - - - - - -- - - - - - - -- -
-('1,000)- - '
- _
1IIIIIl- - -
(300)
100
(5000) - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - -- - - -
- - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
LIR Balance is PacifiCorp s total resources less its total peak requirement
LIR Balance with 15% planning margin requirement
... Incremental planning margin requirement by 2014
DEMAND-SIDE MANAGEMENT
There are 450 MWa of cost effective Class 2 DSM and 100 MW of Classes 1 and 3 DSM
expected over the first ten years of the plan. An estimated 90 MW of interruptible load control
capacity is implemented during fiscal years 2004 to 2006. Additional cost effective DSM will be
reviewed and implemented where possible during the period.
Table 8.2 highlights timing and size of the Class 1 and Class 2 DSM programs identified. These
programs are included in all of the portfolio runs and are marked with an 'A' in the first column
of the table. The Class 1 , 2 & 3 DSM programs marked with a 'B' in the table , were the
hypothetical DSM programs tested in the DSM decrement analysis discussed in Chapter 7 and
Appendix G. Actual programs need to be identified and designed for PacifiCorp to achieve
higher annual DSM levels beyond the programs in the base portfolio runs.
- 145-
Ch 8 - Conclusions
Table 8.2 Planned DSM Over the Period 2004 to 2013.
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Class I DSM (load control -
peak MW Capability)
Class 2 DSM (cumulative 104 118 132 144 144MWa)
Class I & 3 (load control and 50 -100 MWcurtailablc tariffs - peak MW)
Class 2 DSM 150- 300 MW
Notes: A - Base DSM in every portfolio , B -DSM associated with decrement analysis
The modeling effort does not determine the feasibility of achieving 450 MWa of DSM in the
PacifiCorp territory over the next ten years. The additional planning decrement resource addition
of 300 MWa (above the base 144 MWa) was not included in the final portfolio resource plan
because specific cost effective programs to fill the 300 MWa decrement have not yet been
identified. To evaluate the cost effectiveness of this additional DSM, the value of the reduction
in the load forecast (the decrement) needs to have a resource mix that can be changed once the
actual decrement containing program designs have been included. A new load/resource balance
will also need to be produced, with supply side resource timing changed because of the load
decrement (the capacity deferral value of the decrement). The action plan will include steps to
assess the feasibility of an additional cost-effective 300 MWa of DSM resource including a
market assessment study, design of additional programs and an RFP to find effective programs
from the marketplace. Future goals may be adjusted to reflect actual market potential.
RENEW ABLES
As mentioned in Chapters 5 and 6, the portfolios that were developed in the beginning of the
analysis contained wind resource additions in line with the proposed Federal Renewable
Portfolio Standard (RPS). These additions were modeled as electricity purchase flat contracts for
146 MW of wind generation planned from 2003 through 2013 and charged at $50/MWh.
In the final portfolios, the $50/MWh flat contract was replaced with "profiled wind", i.e. wind
whose profile follows an anticipated, more realistic production shape. Under profiled wind
energy deliveries are anticipated to differ in each hour of the day. This profiled wind has been
included based solely on its economic merits. Table 8.4 provides a breakdown of the wind build
pattern in Diversified Portfolio
Table 8.4 The planned Wind build up in Diversified Portfolio I
Year 2005 2006 2007 2008 2009 2010 2011 2012 2013 TOTAL
Wind East 200 200 200 120 720 MW
Wind West 100 200 200 200 700 MW
146 -
Ch 8 - Conclusions
Solar and geothermal opportunities will also be examined on a case by case basis for economic
merit and inclusion in PacifiCorp s overall resource portfolio.
PEAKING UNITS
Diversified Portfolio I requires up to 1 200 MW of peaking capacity be added over the plan
period 2006 to 2013 (the equipment market and economics will dictate the actual technology
used). Peaking resources are a necessary component of every portfolio, and serve two purposes.
One is to meet the load shape requirements for both the East and West sides of PacifiCorp
system, and the second is to meet the capacity requirements of the 15% planning margin. Prior
to commitment to build these assets, Purchased Power Agreements (PP As) and shaped product
opportunities will be reviewed and compared for economic benefit, risk reduction and long term
optionality.
There remains uncertainty surrounding the planning margin requirements outlined in the
proposed SMD. PacifiCorp has designed the action plan based on a 15% planning margin.
However, it will take a number of years to build to a significant planning margin (even to 10%).
This period will allow PacifiCorp time to modify its plans in concurrence with the future
requirements of SMD. Further study of an appropriate planning margin for PacifiCorp will
continue, and is an element of the Action Plan.
BASE LOAD UNITS
In line with the load growth, plant retirement and contract expiration, an estimated 2 100 MW of
base load capacity is required. As with peakers, the need for additional base load capacity was
observed in Chapter 7 and found in every portfolio. Three base load units in the East (in service
in 2008, 2009 and 2012) and one unit in the West (in service in 2007) will be further researched
and pursued. Here the process of sizing and selecting resources consistently identified base load
as having desirable least-cost characteristics.
For IRP modeling purposes, and in line with the market depth and liquidity issues discussed in
Chapters 1 and 3 , it is assumed that they will be physical assets. However, these units could
feasibly be replaced with a long term PP A. Prior to commitment to build any of these assets
PP As or other asset purchase opportunities will be reviewed and compared for economic benefit
risk reduction and long term optionality. This Procurement Program is discussed in the Action
Plan.
SHAPED PRODUCTS AND POWER PURCHASE AGREEMENTS
Diversified Portfolio I required approximately 700 MW of shaped products or PP As throughout
the plan period 2004 to 2013. These contracts will fill an immediate short term peaking need in
the East, prior to any assets being built and will supplement the building of additional assets in
the long term. Shaped products and PP As also aim to cover off-peak requirements in the West.
- 147-
Ch 8 - Conclusions
The 700 MWs are in addition to any alternative shaped product or PPAs that may be entered into
in relation to the Peaking and Base Load requirements mentioned above.
TRANSMISSION
Transmission additions are requested to support all the assets detailed in the Diversified Portfolio
I. Several upgrades feeding into the Wasatch Front area, specifically the "Wasatch Front
Triangle , should be implemented immediately (see transmission section in Chapters 5).
Additional transmission is necessary to support the new resource additions in Diversified
Portfolio I.
This analysis will depend on the as yet unknown outcome of the RTO process. Because ofRTO
it is possible that there will be greater potential for additional transmission than is currently
suggested by the portfolios. While the modeling process demonstrated that under current
assumptions large additions of transmission unrelated to new resources are unwarranted, the
RTO Paradigm Risk could change that finding. Further study and attention to developments will
be required to determine the RTO West impact and influence.
The transmission associated with the development of the renewables portion of the portfolio
requires further clarification. The detail of the transmission requirement and the potential impact
on the system performance will be defined when the potential sites are determined.
COAL VERSUS NATURAL GAS
Overview
The portfolio results clearly show PacifiCorp needs to add base-load resources. The least cost
portfolio includes a coal based thermal unit in the East. Coal-fired generation may be particularly
advantageous when procuring resources in the Rocky Mountains because coal is an abundant
indigenous resource there. However, the long-term impacts of atmospheric emissions are casting
doubt on the viability of coal-fired generation. The IRP least cost portfolio is dependent upon the
impact of a number of these paradigm risks, including air emission standards and possible global
warming measures. PacifiCorp believes it has adequately addressed these risks, based on our
current understanding of them, and coal plants remain a low-cost option. The IRP Action Plan
includes further work to develop and test the viability of a coal base thermal unit, including an
ongoing assessment of the risks.
Coal Cost Advanta2e
Among the four diversified portfolios, which were the top four portfolios based on lowest PVRR
and least risk, Diversified Portfolio IV excludes coal-fired generation, while Diversified
Portfolios I, II, and III all include a 575 MW base-load coal unit in Utah. In relative terms, all of
the Diversified Portfolios provided similar PVRRs over the 20-year plan horizon. The
differences between these top four portfolios range from 0.2% to 0.7% above Diversified
Portfolio I. Given the time period of the study and the large number of inputs considered, these
differences could arguably be described as statistically insignificant.
148 -
Ch 8 - Conclusions
This same relative advantage of new coal holds in the risk results as well. A greater sensitivity
to natural gas price fluctuations makes Diversified Portfolio IV prone to high PVRR outcomes
during high loads and high natural gas price iterations. Exposure to natural gas appears to be a
leading contributor to the risk differences in the portfolios. The Diversified Portfolio I featuring
the addition of a coal plant with the earliest installation schedule has the least natural gas
exposure.
Environmental Cost Risk
Since base-load coal generation produces more CO2 and other air emissions per megawatt-hour
of energy, the effect of increasing the cost of emissions is to reduce the cost advantage of coal.
Examining the CO2 stresses reveals this effect. Using the PVRR as a measure, Diversified
Portfolio I placed first at the $0, $2, and $8/ton CO2 allowance costs. Somewhere between
$8/ton and $25/ton the merit switches to Diversified Portfolio IV with Diversified Portfolio II
placing second. This analysis provides the general conclusion that as the CO2 caps lower and the
allowance cost rate increases, the portfolio without the coal plant becomes the least-cost portfolio
based on PVRR.
Benefits to a portfolio without a coal plant addition is not limited explicitly to CO2 related costs.
Other pollutants follow course with the CO2 trend, decreasing as the incremental allowance cost
increases are applied. Greater clarity on carbon allowance cost issues, as well as cost issues
related to all pollutants, would be helpful prior to selecting a fuel type.
Timin2 of Coal Addition
In Chapter 7 , a stress was performed (Stress 9 - Timing of Large East Units) to test the timing of
the two natural gas plants and the coal plant that was in Diversified Portfolios I, II, and III. This
study determined that the unit timing of Diversified Portfolio I with the coal plant (Hunter 4) in
2008, Gadsby in 2009, and then a natural gas plant at Mona in 2012 yields the least cost solution.
The differences between the PVRR results of Diversified Portfolio I and changing the timing of
these three base load units is less than 1 %. Therefore, the differences between the portfolios that
adjust the timing of the base load units could arguably be described as statistically insignificant.
Coal Versus Natural Gas - Conclusions
Results appear to favor adding a new coal unit, though with some ambiguity, especially with
regard to timing. The preferred timing could also be influenced by the resolution over time of
uncertainties, some of which contribute to the ambiguity of results. Over the next three to five
years, there may be more certainty with regard to future environmental costs, especially costs of
CO2 emissions, better knowledge of the cost and performance of clean coal technologies that
could reduce exposure to environmental risks, and a better picture of the level and volatility of
future natural gas prices. Finally, more information can be obtained regarding direct compliance
costs and potential offset costs of a specific new coal unit. Though only with the undertaking of
specific siting and environmental permitting activities.
This is not an either/or choice of coal versus natural gas, however. Even those portfolios that
most heavily favor a new coal unit also require new base-load natural gas CCCTs in the same
- 149-
Ch 8 - Conclusions
2007-2009 time frame. Thus, siting and licensing of both new CCCT and base-load coal are
warranted and not mutually exclusive. A new base-load coal unit at Hunter 4, the practical
alternative considered in the portfolios described above, could be a valuable portfolio addition
somewhere in the 2008-2012 time frame, under most future conditions. However, it can be a
realistic alternative in this time frame only if siting and environmental permitting activities prove
out its merits.
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Ch 9 - Action Plan
ACTION PLAN
This chapter provides details of the IRP Action Plan that PacifiCorp intends to implement
following a fully acknowledged IRP. PacifiCorp requests that each State Commission
acknowledge and support the IRP, including acknowledgement of the Action Plan, in accordance
with Commissions' requirements for an IRP.
Included in this chapter are:
The detailed Action Plan, including specific Findings of Need and Implementation Actions
The Decision Processes for implementation of the Action Plan
The Procurement Program for implementing the Action Plan
An update on PacifiCorp s Current Procurement and Hedging Strategy
Description of how PacifiCorp Resource Planning and Business Planning are aligned
Discussion on the Action Plan s consistency with the Oregon s restructuring legislation (SB-
1149)
THE IRP ACTION PLAN
The Action Plan arising from this IRP is based on the single least cost, low risk portfolio arising
from the analysis results discussed in Chapter 7 and the conclusions summarized in Chapter 8.
The Action Plan portfolio is the Diversified Portfolio I (DPI). The resource make up of DPI for
the period 2004 to 2014 is as follows:
1,400 MW Renewables
200 MW Peakers
100 MW Base Load
450 MWa DSM
700 MW Shaped Products
The Action Plan aims to ensure PacifiCorp will continue meeting its obligation to serve its
customers at a low cost with manageable and reasonable risk and at the same time remain
adaptable to changing course, as uncertainties evolve or are resolved, or if a Paradigm shift
occurs. Given the historical variability and future uncertainty, this represents the least-cost IRP
solution. An element of the Action Plan is to preserve PacifiCorp s optionality and flexibility in
the future.
The IRP is intended to provide guidance and rationale for PacifiCorp s resource planning path
forward. A successful IRP will result in "acknowledgement" by the states indicating no
significant disagreement with, and a degree of support for, the Action Plan. PacifiCorp
shareholders must and will take into account this IRP and subsequent governmental and public
responses when making future capital allocation and investment decisions. Among other things
these decisions will depend on the shareholders anticipation (as communicated by their
representative, the Board of Directors) of successful and economic recovery of their investment.
- 151 -
Ch 9 - Action Plan
In addition to a strong IRP acknowledgement, a successful (i., acceptable to all parties) MSP
outcome is critical to the total success of this effort. The Action Plan results in potentially
substantial financial commitments from PacifiCorp. Sustainable cost recovery of investment is
an outstanding risk that must be addressed prior to such investments being made. The outcome
of the MSP process will strongly influence the activities and operations of PacifiCorp, which in
turn may impact the implementation of this IRP Action Plan.
This Action Plan is based upon the best information available at the time the IRP is filed. It will
be implemented as described herein, but is subject to change as new information becomes
available or as circumstances change. It is PacifiCorp s intention to revisit and refresh the Action
Plan no less frequently than annually. Any refreshed Action Plan will be submitted to the State
Commissions for their information. The Action Plan may also be revised as a consequence of
subsequent IRPs.
DETAILED ACTION PLAN - FINDINGS OF NEED AND IMPLEMENTATION
ACTIONS
The IRP analysis presumes new resources are actual, specific assets. This assumption allows
precise modeling of different site, technology and transmission costs. It also creates a realistic
framework for a development timeline. In implementing the Plan, however, all resource options
will be rigorously compared to alternative purchase options either from the market or from other
existing potential electricity suppliers. Additionally, the specifics of any built or purchased asset
may be adjusted to optimize based on then current conditions. The potential risks associated
with other developers being able to finance independent and merchant power plants will be
assessed on a case-by-case basis. The Procurement Program, further discussed below, will
assure that new supplies are obtained from the least cost provider. The proposed Procurement
Program will enable consistency with Oregon restructuring requirements, as is also discussed
below.
PacifiCorp is seeking acknowledgement of the Action Plan by regulatory Commissions in five
States. How these Commissions will treat a favorable acknowledgement of an IRP Action Plan
in subsequent rate cases may vary.13 To accommodate potential differences in treatment of an
acknowledgement, the detailed Action Plan includes two components. First, Table 9.1 provides
specific findings regarding the need for resources. Second, Table 9.2 provides details of the
actions arising from this IRP to address the findings of need. The Findings of Need and
Implementation Actions are consistent with each other and support the implementation of the
Diversified Portfolio I.
Implementation Actions in the first four years of the plan require greater attention and more
specificity than those required in the out-years of the plan. Each Implementation Action has
13 For example, under the Oregon IRP rules, an acknowledged IRP Action Plan is relevant to subsequent
ratemaking. When acknowledged, it becomes a working document for use by parties in a rate case or other
proceeding. Oregon has suggested the Action Plan be designed to allow Oregon to acknowledge specific findings of
fact. See Appendix N for a summary of each State s planning requirements.
- 152-
Ch 9 - Action Plan
been categorized by resource addition type, and includes a target date for the delivery or
completion of the action item.
Table 9.IRP Action Plan Findings of Need
IMPLEMENTATION
REFERENCE FINDINGS OF NEED ACTION
REFERENCE
(See Table 9.
PacifiCorp needs to procure approximately 500 MW of base load
resource in the West ofthe system by April 2006.
PacifiCorp needs to procure approximately 570 MW of base load 2 & 3
resource in the East ofthe system by April 2007.
PacifiCorp needs to procure approximately 500 MW of base load
resource in the East of the system by April 2008.
PacifiCorp needs to procure 200 MW of peaking resources for the 15 &16
East side ofthe system for operation in 2006.
PacifiCorp needs to procure 230 MW of peaking resources for the
West side of the system for operation in 2006.
PacifiCorp needs to prepare, issue and implement RFPs for 17 - 20
Renewable resources across the system with a build pattern (based
on wind capacity) as follows:
100 MW - 2006 (West)
200 MW - 2007 (East)
200 MW - 2008 (West)
PacifiCorp needs to secure shaped products to optimize and fulfill
specific shaping needs of the system. Products to be developed are:
The super-peaking needs in the East ofthe system for
2004/05/06/07
The off-peak needs in.the West ofthe system for 2005/06
Thermal asset based contracts in support of the capacity
requirements to achieve 15% planning margin on both the East
and West ofthe system.
PacifiCorp needs to develop a more comprehensive portfolio of cost 5 -
effective Demand Side Management resources with the following
targets for the period 2003 to 2014:
Class 1 and Class 3 - 190 MW
Class 2 - 450 MWa
PacifiCorp needs specific detailed transmission studies to support 24 - 27
reference items 1 to 8 above
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Ch 9 - Action Plan
Table 9.2 Action Plan Implementation Actions for Diversified Portfolio I
ADDITION
TYPE
Base Load - 2007
Base Load - 2008
Base Load - 2008
Base Load - 2009
IMPLEMENT A TION ACTIONS
Procure a base load unit in the West of the system for
operatIOn in 2007.
Prepare detailed plans including an economic review and
justification for building or buying a base load CCCT in the
West of the system for 2007. The review will address:
The merits, risks and benefits of negotiating alternative
PP A agreements following the expiration of existing
contracts in the West
The potential and options for negotiating additional
capacity associated with the existing BP A contract
(Sites under consideration in the review will include
opportunities at Albany, Klamath Falls and others in the
West of the system)
Procure a base load unit in the East of the system for
operatIOn in 2008.
Prepare detailed plans including a review and justification
for building or buying the base load coal unit in the East of
the system for 2008.
The review will include, but will not be limited to:
An economic review for selecting coal as the fuel
Alternative fuel options including natural gas
Emissions Impacts on the surrounding area
Other existing or partially developed sites
Alternative PPA agreements with appropriate credit
worthy counter-parties
(Sites under consideration in the review will include
opportunities at Hunter, Terminal, Mona, West Valley,
Gadsby and others in the East of the system)
Contmue environmental permittmg activity for Hunter 4 to
ensure this base load plant option is available for
implementation and operation by 2008 in line with DPI
reqUIrement (see Action Item 2).
Procure a base load unit in the East of the system for
operation in 2009.
Prepare detailed plans including a review and justification
for re-powering of the existing Gadsby plant (units 1 2 and
3) in 2009.
The review will include, but will not be limited to:
Alternative existing or partially developed sites
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TARGET
DELIVERY DATE
July 2003
October 2003
July 2003
July 2004
Ch 9 - Action Plan
ADDITION IMPLEMENTATION ACTIONS TARGET
TYPE DELIVERY DATE
Alternative PPA agreements with appropriate credit
worthy counter-parties
(Sites under consideration in the review will include
opportunities at Terminal, Mona, West Valley and others in
the East ofthe system)
DSM Design and determine the cost effectiveness ofthe proposed April, 2003
Air Conditioning Load Control program in Utah. Launch
and implement the Air Conditioning Load Control program
as appropriate and in line with the findings.
DSM Design and determine the cost effectiveness of the proposed April, 2003
refrigerator re-cycling program. Launch and implement the
refrigerator re-cycling program as appropriate and in line
with the findings.
DSM Design and determine the cost effectiveness of the proposed April, 2003
efficient central air conditioner program. Launch and
implement the efficient central air conditioner program as
appropriate and in line with the findings.
DSM Complete an evaluation of the available, realistic CHP sites April, 2003
and market size within the PacifiCorp territory.
DSM Implement and operate the specific DSM programs in the Commence July 2003
P40 decrement that was included DPI. This will build
150 MWa DSM between 2004 and 2014.
DSM 10. Conduct an Economic and Market Potential studyofthe August, 2003
PacifiCorp Service territory to determine the magnitude of
the DSM opportunities available to PacifiCorp.
DSM 11. Design a "bundle" of cost effective DSM programs that July, 2003
build to an additional 300 MWa between 2004 and 2014 in
line with the decrement options reviewed in the IRP.
DSM 12. Prepare, issue and implement a Request For Proposals April, 2003
(RFP) for 100 MWa of Class 2 DSM for implementation
commencing early 2004 as part of the "bundle' of options
in actIOn item 11.
DSM 13. Determine revised DSM targets for the period 2004 to 2014 October, 2003
based on the results of action items 10, 11 and 12.
DSM 14. Evaluate and implement as appropnate the irrigation load May, 2003
control program in Idaho for 2004.
Peakers - 2006 15. Procure reserve peaker units for the system for operation in July 2003
2006.
Develop detailed plans and proposals, including the
timeline for delivery, for the reserve peakers required for
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Ch 9-Action Plan
ADDITION IMPLEMENT A TION ACTIONS TARGET
TYPE DELIVERY DATE
system 2006:
East side - 200 MW
West side - 230 MW
Peaking 16. Review the West Valley peaker plant performance and July 2004
requirement and negotiate the West Valley Peaker plant
terms and conditions in line with the existing lease contract
arrangements.
Renewables 17. Evaluate expansion options for PacifiCorp s Blundell January 2003
Geothermal plant and implement expansion if appropriate
and cost effective.
Renewables 18. Prepare, issue and implement an RFP for wind generation Issue March 2003
on the West of the system in line with the proposed
procurement pattern:
100 MW - 2006
200 MW - 2008
200 MW - 2010
Renewables 19. Prepare, issue and implement an RFP for wind generation Issue March 2003
on the East of the system in line with the proposed
procurement pattem:
200 MW - 2007
200 MW - 2009
200 MW - 2011
Renewables 20. Prepare, issue and implement an RFP for renewable Issue March 2003
generation options (i.e. geothermal, solar, fuel cells) which
could be implemented in addition to, or as an alternative to
the proposed wind build pattern modeled in DPI (Action
Items 18 and 19).
Shaped Products 21. Determine the strategy and negotiate, as appropriate, asset Commencing January
based shaped product contracts to fill:2003
The super-peaking needs in the East of the system for
2004/05/06/07
The off-peak needs in the West of the system for
2004/05/06
Thermal asset based contracts in support of the
capacity requirements to achieve 15% planning margIn
on both the East and West ofthe system.
Thermal asset based contracts (25 MW) to support the
addition of profiled wind in the East and West of the
system.
Strategy and 22. Determine the long term IRP model(s) including a review September 2003
Policy of options for using optimizatIon logic for future IRP'
Strategy and 23. Agree any changes to Standards and Guidelines that may December 2003
Policy impact the implementation of the IRP Action Plan
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Ch 9 - Action Plan
ADDITION IMPLEMENTATION ACTIONS TARGET
TYPE DELIVERY DATE
Strategy and 24. Determine the Planning Margin PacifiCorp will adopt December 2003
Policy different :!Tom the 15% planning margin adopted in this
IRP, following the outcome of the FERC's proposed SMD
rule. The analysis for this will include loss ofload
probability studies.
Transmission 25. Detail and commission selected transmissIOn power system July 2003
analysis studies to support the implementation of the IRP
Action Plan for DPI. The studies will provide greater detail
on transmission costs associated with all the portfolio
additions.
Particular attention is required to determine the impact of
the potential wind capacity additions on the system :!Tom a
system stability perspective.
Transmission 26. Prepare detailed plans including an economic review and July 2003
justification and apply for necessary transmission upgrades
to support asset additions
Transmission 27. Prepare detailed plans including an economic review and July 2003
justification to implement the "Wasatch Front Triangle
transmission upgrades.
TransmissIOn 28. Review options for firming up the IRP non-firm July 2003
transmission requirement.
IRP ACTION PLAN IMPLEMENTATION - DECISION PROCESSES
Chapter 3, Risks and Uncertainties, highlights the need for PacifiCorp to retain the right to adjust
its implementation of the IRP in light of the already known, but not clearly defined, paradigm
risk implications. The Commissions ' IRP rules also point to the need to remain flexible to
changes going forward.14 As discussed above, it is PacifiCorp s intention to revisit and refresh
the Action Plan no less frequently than annually. Any refreshed Action Plan will be submitted to
the State Commissions for their information. Figures 9.1 to 9.3 provide some insight on the
decision processes PacifiCorp will use while implementing the Action Plan. These decision
processes will be iterative and occur in conjunction with the Procurement Program discussed
below. The alignment of Resource Planning and Business Planning, also discussed herein, will
ensure the IRP Action Plan remains current and consistent with ongoing procurement measures.
Figure 9.1 illustrates the process to be followed as the individual resources within DPI are
developed and tested in more detail to ensure they are contributing to the low cost, low risk
solution in the manner anticipated in the IRP modeling. If there are major changes to the
assumptions associated with the portfolio resource selection it is possible that the portfolio may
14 For example, the Utah Standards and Guidelines call for a plan of different resource acquisition paths for different
economic circumstances with decision mechanism to select among and modifY these paths as the future unfolds.
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Ch 9 - Action Plan
have to be re-designed and the Action Plan reviewed to ensure the desired low cost, low risk
option is still being achieved.
Figure 9.1 Decision Process chart for Portfolio Resource Analysis
Define
Portfolio and
Resources
Compare
Competing
Technologies
Reassess Costs
New Market
Information
Paradigm Risk
Activity
Environmental
Impacts
Refine Resource Discard
Resource
Next Resource
Refine Portfolio Discard
Implement
Figure 9.2 addressed the decision process associated with the wind (and other renewables)
resources in the Action Plan. The wind build strategy allows time for all parties to develop a
greater understanding of the uncertainties associated with wind. The level of wind resource
ultimately procured has the potential to become more or less than is reflected in the DPI
portfolio. The impact of wind on the portfolio will be tested through the processes illustrated in
Figures 9.1 and 9.2.
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Ch 9 - Action Plan
Figure 9.2 Decision Process Chart for Wind (Renewables) Generation Development
Initial Wind
Implementation
Analyze
Integration
Issues
Reassess
Wind Costs
Yes Maintain/Increase
Program
DPI introduces the procurement of a base load coal plant by 2008 (Action Item 2). There are
still uncertainties surrounding this technology choice so further clarification will be undertaken.
The decision processes shown in Figures 9.1 and 9.3 will be followed to test the assumptions
surrounding the current coal proposal.
Decrease/Maintain
Build Program
Figure 9.3 Decision Process Chart for Base Load Technology Choice
Identifiable
Natural Gas
Asset
Wind
Contribution
Improved?
Permit Coal
Option
Cost
Refinement
New Market
Information?
Reassess
Is CO2 Cost
Resolved?
Abandon Option
Construct
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Ch 9 - Action Plan
IRP ACTION PLAN IMPLEMENTATION - PROCUREMENT PROGRAM
PacifiCorp intends to implement many elements of the Action Plan with a formal and transparent
Procurement Program. The IRP has determined the need for resources with considerable
specificity, and identified the desirable Portfolio and timing for procurement. The IRP has not
identified specific resources to procure, or even determined a preference between asset
ownership versus power purchase contracts. These decisions will be made subsequently on a
case-by-case basis with an evaluation of competing resource options. These options will be fully
developed using a robust procurement process, including, when appropriate, competitive bidding
with an effective request for proposal (RFP) process.
DSM programs currently use an outsource model for procurement of results in many of the
programs. PacifiCorp intends to continue this practice. In addition, with the substantial increase
in results indicated by the 300 MWa planning decrement, procurement of design and
implementation of some of this increase in DSM acquisition is anticipated.
The role of RFPs related to a specific resource procurement decision by PacifiCorp will depend
upon the size, type, and location of the resource being considered. A comparison of all
competing alternatives, including contract purchase options, will be made before PacifiCorp
makes a build decision. This comparison will consist of the identification of relevant alternative
developers or purchase contract options through a solicitation process, and compared against the
appropriate market. In instances where PacifiCorp feels a formal RFP issuance is warranted, due
to specific geographic or other market-related conditions, one will be issued.
The evaluation of specific resource alternatives, whether build or contract purchase, will be
performed on the same basis and using the same techniques. All evaluations will utilize the best
available information known at the time. This means that certain inputs are bound to change
during the lead-time associated with any plant construction. As such, the purchase from a plant
developer would be subject to a similar level of uncertainty as a PacifiCorp build option, unless
the developer imposed a higher level of restriction than PacifiCorp would experience under a
build option.
PacifiCorp will perform all evaluations on the same basis and using the same analytical
techniques. In general, it is not currently envisioned that evaluations would regularly be done by
an independent third party. However, in certain circumstances, such as where an affiliate
transaction may be a potential alternative, PacifiCorp may retain an independent consultant to
validate that the evaluation is performed on a non-discriminatory basis.
PacifiCorp plans to keep regulators and their staffs apprised of key resource activities, including
progress on the Procurement Program. We anticipate providing Procurement Program status
reports approximately every six months. The feedback we receive will be taken into account
with respect to the particular resource procurement effort. Given the fact that PacifiCorp
operates in multiple states, it is not currently envisioned that every state will directly participate
in the preparation of a formal RFP issuance.
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Ch 9 - Action Plan
Due to competitive confidentiality concerns, and potential conflict of interest, it is also not
envisioned that third parties would directly participate in the preparation of a formal RFP.
CURRENT PROCUREMENT AND HEDGING STRATEGY
Prior to the implementation of the IRP Action Plan, PacifiCorp will continue with its current
procurement and hedging strategy to ensure a low cost, safe and reliable supply for the customer.
This effort includes an extension of the September 2001 RFP activities, cost effective demand-
side management programs, construction of the Gadsby peakers (now fully operational),
temperature contingent hedges, summer procurement 2002-2004, superpeak purchases 2003-
2005 , and other portfolio optimization opportunities.
The suIIm;1er season procurement strategy has integrated both financial and physical hedging
instruments to strategically manage the physical system, which requires more than purchasing
over the counter (OTe) standard on-peak product (6XI6). The 6XI6 product available from the
OTC market is available in blocks, which creates two problems, the need to cover superpeak
demand and the requirement to sell surplus shoulder hour power, potentially at a loss, back to the
market. The overall objective is to minimize PacifiCorp s risk and deliver the most economic
solutions for both the customers and PacifiCorp.
To date, the September 200 I RFP and subsequent extension has resulted in the following major
transactions:
200 MW of daily call options June - September 2002-2004
. 15-year lease with early termination rights on 200 MW at West Valley,
June - September 2002 Temperature Hedges
200 MW of superpeak power 2003 - 2005
. An RFP for a May - September 2003 Quanto Temperature Hedge has been issued.
The IRP will be the road map to address resource requirements beyond 2005. Products similar to
those detailed above will continue to be developed in line with the IRP Action Plan as they are
critical for shaping, optimizing and minimizing the costs and risks associated with the efficient
operation of the network.
ALIGNMENT OF RESOURCE PLANNING AND BUSINESS PLANNING
PacifiCorp has made significant improvements to its resource planning organization and
methods. These measures have strengthened the alignment of PacifiCorp s business planning,
regulatory requirements, resource planning, resource procurement and system operations. A
Resource Planning function was created and organized in the Commercial and Trading
department to ensure integration with PacifiCorp s resource procurement, trading and risk
management functions. New models were developed to ensure the IRP uses a robust analytical
framework to simulate the integration of new resource alternatives with PacifiCorp s existing
generation and transmission assets, to compare their economic and operational performance.
The methodology also accounts for the uncertain future by testing resource alternatives against
161 -
Ch 9 - Action Plan
measurable future risks and possible paradigm shifts in the industry. The modeling and
methodology will continue to be developed to address the paradigm shifts as they unfold.
CONSISTENCY WITH OREGON RESTRUCTURING
The Oregon Restructuring legislation (SB-1149) states that electric companies must include new
generating resources in revenue requirement at market prices, and not at cost.15 The Oregon
PUC has not resolved how this provision would be implemented or if it should be modified, and
recently decided to open an investigation into the matter.16 As noted elsewhere in the report, the
IRP has not identified specific resources to procure, or even determined a preference between
asset ownership versus power purchase contracts. These decisions will be made subsequently,
on a case-by-case basis, as part of the Procurement Program. Thus, the IRP Action Plan is
consistent with SB1149 and does not address the ratemaking treatment of new resources.
Subsequent procurement of any generating resources will be made consistent with anticipated
ratemaking requirements, including SBl149 as implemented by the Oregon PUc.
15 OAR 860-038-0080(1)(b).16 OPUC Order No. 02-702 at 3.
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Appx A Electric Utility Background
APPENDIX A - ELECTRIC UTILITY BACKGROUND
FEDERAL ACTIVITY
Federal Power Act Of 1935
The Federal Power Act (FPA) of 1935 established the guidelines for federal regulation of public
utilities engaging in interstate commerce of electricity. Through this act, the Federal Power
Commission (FPC) was given wider authority, including the ability to:
Issue licenses for new hydro generation projects
Collect utility operational and financial data, including original investment costs and electric
generation and sales data, and
Review electric rates charged by utilities and establish their depreciation schedules.
One of the most important implications of the FP A was the requirement for utilities to charge
fair and reasonable rates." By forcing utilities to publish all rate schedules for public and
government review, the FP A required utilities to defend all rates on a cost of service basis.
Charging different rates to customers became illegal, absent substantial cost justification.
Further, the FP A established the allowable time frame for utilities to change rate schedules.
The FP A of 1935 also outlined strict conflict of interest rules for officers and directors of public
utilities engaging in interstate commerce. The FPC was terminated in 1950 when its powers
were transferred to the Federal Energy Regulatory Commission. Later, the United States
Department of Energy assumed some ofFERC's powers.
Holdine Company Act of 1935
Also passed in 1935 was the Public Utilities Holding Company Act (PUHCA). Designed to
work in tandem with the FPA of 1935, PUHCA sounded the death knell for multi-tiered holding
company structures (described below) that had prevented effective regulation of public utilities
and put utilities operating in more than one state under heavy regulation by the Securities
Exchange Commission (SEC). As a result of PUHCA, most utilities operate within a single state
(or in multiple states with a contiguous service territory), which allows them exemption from
much of the oversight applied by the SEe.
Prior to this legislation, the United States electricity industry had experienced significant
consolidation, to the extent that only three companies controlled 45% of the United States
electricity market. While many states had public utility commissions, none of these agencies had
significant regulatory power, especially when pitted against companies involved in commerce
across state lines. Because of the lack of regulatory oversight, holding companies buffered
themselves from government regulation by separating from their operating subsidiaries through
multiple layers of holding companies, aligned through intentionally complex affiliate
relationships. The result was that a few holding companies enjoyed substantial market power
and could not be held accountable for engaging in collusive pricing strategies. For example
parent holding companies often charged exorbitant construction rates to their electric companies
- 163-
Appx A Electric Utility Background
which in turn passed on the expenses to consumers. The Federal Trade Commission issued a
report in 1928 that listed the abusive practices of holding companies. It concluded that the
holding company structure was unsound and "frequently a menace to the investor or the
consumer or both.
Further, by being able to hide debt through the multiple levels of holding companies, utilities
were able to carry extremely high debt ratios that eventually caused their demise after the stock
market crash of 1929. Unable to service their debt, 53 holding companies with combined
securities of $1.7 billion went into bankruptcy.
PUHCA and the FPA of 1935 were a direct result of negotiations between utility holding
companies and the federal government that began after publication of the Federal Trade
Commission s report. Utility owners agreed to provide reliable service at a regulated rate in
exchange for an exclusive service territory. Rate regulation would be the responsibility of the
Federal Power Commission as established under the FPA of 1935, while the majority of inter-
company financial transactions would be regulated by the SEC as outlined in PUHCA. Also
PUHCA dismantled the multi-tiered holding company structure by making it illegal to be more
than twice removed from operating subsidiaries.
As a result of PUHCA, more than a third of holding companies owning electricity and natural
gas distribution utilities were forced by the SEC to divest such that their electricity and gas
services were no longer affiliated. Sections 3(a)(I) and 3(a)(2) allow exemption from PUHCA if
the holding companies operate in a single state or within contiguous states. While most holding
companies chose to operate so as to qualify for PUHCA exemption, state public utility or public
service commissions still strictly regulate these firms.
PURPA -1978
The Public Utilities Regulatory Policy Act is one of five bills signed into law on November 9
1978, as part of the National Energy Act. It is the only one remaining in force. Enacted to
combat the "energy crisis " and the perceived shortage of petroleum and natural gas, PURP A
requires utilities to buy electricity from non-utility generating facilities that use renewable energy
sources or "cogenerate " i., use steam both for heat and to generate electricity. A non-utility
generating facility that meets certain ownership, operating and efficiency criteria established by
the FERC is known as a Qualifying Facility or QF. The Act stipulates that electric utilities must
interconnect with QFs and buy the capacity and energy they offer at the utility s avoided cost.
One of the other bills passed in 1978 was the Fuel Use Act. On the understanding that the
United States was soon to run out of natural gas reserves, Congress passed a law that severely
limited the amount of natural gas that could be used to generate electricity. Those limitations
were removed in the 1980s and natural gas is currently the fuel of choice for new generation in
the United States.
Ener2Y Policy Act Of 1992
The Energy Policy Act of 1992 (EP ACT) opened access to transmission networks and exempted
certain non-utilities from the restrictions of the Public Utility Holding Company Act of 1935
(PUHCA). EP ACT made it easier for non-utility generators to enter the wholesale market for
- 164-
Appx A Electric Utility Background
electricity. While EP ACT opened access to transmission networks for purposes of wholesale
transactions, the act did not mandate open access for retail load. The act left it up to individual
states to determine if they wanted to open access to electricity lines for purposes of retail sales.
The act also created a new category of electricity producers called exempt wholesale generators
(EWGs). By exempting them from PUHCA regulation, the law eliminated a major barrier for
utility-affiliated and nonaffiliated electricity producers wanting to compete to build new non-
rate-based electricity plants. EWGs differ from PURP A QFs in two ways. First, they are not
required to meet PURP A's utility ownership, cogeneration or renewable fuels limitations.
Second, utilities are not required to purchase electricity from EWGs.
In addition to giving EWGs and QFs access to distant wholesale markets, EP ACT provides
transmission-dependent utilities the ability to shop for wholesale electricity supplies, thus
releasing them-mostly municipals and rural cooperatives-from their dependency
surrounding investor-owned utilities for wholesale electricity requirements. The transmission
provisions of EP ACT have led to a nationwide open-access electricity transmission grid for
wholesale transactions.
FERC Order 888 - 1996
With the passage of EP ACT, Congress opened the door to wholesale competition in the electric
utility industry by authorizing FERC to establish regulations providing open access to the
nation s transmission system. FERC's subsequent rules, issued in April 1996 as Order 888, are
designed to increase wholesale competition in the nation s transmission system, remedy undue
discrimination in transmission and establish standards for stranded cost recovery. A companion
ruling, Order 889, requires utilities to establish electronic systems to share information on a non-
discriminatory basis about available transmission capacity.
FERC Order 2000 - 1999
In an effort to continue the evolution of competitive wholesale electricity markets, FERC Order
2000, released in December 1999, requested the voluntary formation of regional transmission
organizations (RTOs). FERC's review of electricity markets had shown evidence that traditional
management of the transmission grid by vertically integrated electric utilities was inadequate to
support the efficient and reliable operation necessary to the evolution of competitive markets.
FERC concluded that RTOs, organizations designed to operate and control regional transmission
systems, would be the best way to proceed to protect the public interest and ensure consumers
pay the lowest possible price for reliable service.
FERC's voluntary plan is for all transmission-owning entities in the United States to place their
transmission facilities under the control of RTOs that will manage operational and reliability
issues and eliminate residual discrimination in transmission service.
The fundamental goals, as expressed by FERC in Order 2000, are to:
Improve efficiencies in transmission grid management
Improve grid reliability,
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Appx A Electric Utility Background
Remove remaining opportunities for discriminatory practices
Improve market performance, and
Facilitate lighter handed regulation.
To achieve this end, the rule established minimum characteristics and functions for RTOs, a
collaborative process for owners and operators of interstate transmission facilities to consider
and develop RTOs, a rate-making reform process, and a schedule for public utilities to file with
FERC to initiate RTO operations.
Order 2000 is designed to create more efficient transmission systems across the United States to
support the growing number of regional wholesale electricity markets. By reconfiguring the
existing patchwork transmission system into consolidated transmission organizations , FERC's
goal is to spur interest in the investment and construction of transmission assets. Order 2000
also seeks to lower both economic and trade impediments among transmission organizations on a
regional basis. Order 2000 reflected the FERC's desire that RTOs to be voluntary in formation
and its intent to accept a variety of possible RTO structures.
FERC SMD NOPR - 2002
Continuing to refine its views on transmission in relation to competitive electricity markets, the
FERC issued a Notice of Proposed Rulemaking on Standard Market Design (SMD) and
Structure, NOPR RMOI-12-000. Comments on proposed rules implementing the FERC's vision
of standard market design are being taken through December 2002, with final regulations
expected in 2003. The SMD proposes a number of remedies aimed at removing barriers to
efficient competitive wholesale markets perceived by FERC in the wake of Orders 888 and 2000.
The SMD NOPR proposes a new entity called an independent transmission provider (ITP) and
would require all FERC jurisdictional utilities to form an ITP, transfer operation of its
transmission assets to an RTO that meets requirements of an ITP or contract with an ITP to
operate its transmission facilities. Among the functions required of an ITP are:
1. The operation of day-ahead and real-time markets;2. Filing and administration of a single network access tariff for transmission services and
ancillary services;
3. Establishing a market monitoring function with procedures to mitigate market power; and
4. Conducting a planning process with market participants to ensure resource adequacy.
As part of the planning process requirements of SMD, the NOPR proposes to establish a resource
adequacy requirement on all utilities using ITP transmission and markets. The proposed rules
leave the final word definition of resource adequacy to the ITPs and state and regional advisory
boards, but suggest that resource adequacy might require a utility to demonstrate a reserve
margin of 12% or more for three or more years with specific, assured assets. Remedies in the
form of a penalty charge on market purchases could be imposed on utilities that do not
demonstrate resource adequacy.
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Appx A Electric Utility Background
BRIEF REVIEW OF NATIONAL ACTIVITY REGARDING RETAIL
DEREGULATION
Federal legislation has focused on implementation of competition in wholesale electricity
markets, while details about retail direct access have been left to the individual states. The
restructuring legislation and regulations of the 1990s, particularly the EPACT, have brought
about retail-level industry restructuring in several states. The national movement towards a
restructured electric utility industry has proceeded at varying paces in different geographic
regions. The map below summarizes the status of state electric restructuring activities as
described on the United States Department of Energy - Energy Information Administration web
site (http://www.eia.doe.gov/cneaf/ electricity/ chfLstr/regmap.html).
Figure A.I Retail Restructuring
"..,
REStructuring Act"",
III Restructuring Delayed
Restucturing Suspended
REStucturing NotActive
State level restructuring has several common elements: the establishment of retail customer
choice, a method to allow regulated vertically integrated utilities to be compensated for
investments made in existing generation which may not be recoverable in competitive markets
(known as "stranded costs ), and the functional separation of the regulated utilities into separate
generation, transmission, distribution and retail service provider business units. There are many
differences in the approach to retail restructuring.
California Experience
The California experience is singled out in this report because it has proven to be a case study on
how not to approach the transition from regulated bundled electric service to unbundled retail
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Appx A Electric Utility Background
competition. The legislation that introduced electricity industry restructuring in California was
Assembly Bill 1890. AB 1890 promised to achieve a number of goals for California energy
consumers , including lower electricity bills and choice of generation providers. A key to
realizing these goals was a continued adequate supply of electricity. Unfortunately, the Western
u.S. ran into a severe shortage of electricity before California completed the transition to its fully
deregulated state. This caused disastrous problems for California and the WECC , as described in
Chapter 2. Some of the key aspects that created these problems were:
Lack of new resources
Large quantity of spot market power exposure by California s private utilities
Retail rates frozen for California s private utilities
Deregulated wholesale electricity prices
Severe drought in WECC resulting in reduced hydrogeneration
In September of 2001, after wholesale prices had retreated and stabilized, the California PUC
suspended retail choice. The CPUC estimates that about 2 300 MW of the state s peak load of
000 MW is currently under direct access contracts, mostly with large industrial customers.
Contracts in place were allowed to continue until their expiration.
Other State Activity
The problems experienced in California are causing other states to slow retail direct access
order to re-examine at their retail level restructuring plans in hope of avoiding similar outcomes.
According to the EIA, six states have suspended or delayed restructuring activities and about half
the 50 states are not actively undertaking restructuring at this time.
OVERVIEW OF WESTERN ELECTRICITY MARKETS
The Western Interconnect
The Western Interconnect is one of three interconnected grids in North America separated from
each other by limited capacity direct current interties (see Figure A.2).
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Appx A Electric Utility Background
Figure A.2 Transmission System Interconnections for the United States and Canada
The nature of this interconnection provides for robust wholesale electricity market transactions
among the utilities (such as PacifiCorp) that make up the interconnected grid. These electricity
transactions are a mixture of long-term contracts, seasonal contracts, day-ahead (spot)
transactions, and "real-time" transactions. In addition, a number of financial transactions are
offered within the Western Interconnect, such as swaps under which a buyer exchanges volatile
spot market prices for fixed prices.
The Western Electricity Coordinating Council (WECC), organized in August 1967 , provides
coordination in operating and planning a reliable and adequate electricity system for the Western
Interconnect. The WECC is the largest, geographically, of the regional councils of the North
American Electric Reliability Council (NERC). It covers most of 11 western states, two
Canadian provinces, and a small part of Northwestern Mexico. The acronym WECC is often
used to refer to the Western Interconnect, and not the organization, and is frequently meant to
designate the United States portion.
Electric Transmission in WECC
The WECC interconnection is made up of a vast high voltage transmission grid that allows
movement of electricity in a flexible manner. While there is good ability to move electricity to
and from many areas of WECC, at times there may be the desire to move more electricity than
the transmission grid can handle. Path ratings and electricity flows are provided by the WECC
to avoid such congestion, while a plethora of contractual arrangements govern who has the right
to use the capability of the transmission system.
169 -
Appx A Electric Utility Background
Figure A.3 shows the major transmission lines that make up the WECC interconnected grid.
Figure A.3 Major Transmission lines in WECC
The Load/Resource Balance In WECC
The actual peak load in WECC in the summer of 2000 was 130 892 MW and 125 040 MW in the
summer of 2001. Peak load in the summer of 2001 was significantly reduced as a result of
demand response to the recent electricity crisis in WECC and slowdown in economic activity
attendant to the ongoing recession.
There is approximately 166 000 MW of generation capacity in WECc. About 62 000 MW of
this total is hydrogeneration. Total hydrogeneration capacity cannot be fully relied upon for
meeting peak loads across all heavy load hours because of limited reservoir storage.
The WECC load/resource balance is currently undergoing rapid change with a wave of new
generation. Additions totaling 14 800 MW reached commercial operation in 2001 and 2002
(through September 2002). An additional 16 700 MW is under construction with commercial
- 170-
Appx A Electric Utility Background
operation expected by 2004. California and Arizona lead other states in these capacity additions
by a wide margin, especially in the 2001-02 cohort groups. Looking specifically at projects
under construction by state, California and Arizona, have under construction 5,700 MW and
600 MW, respectively, expected between September 2002 and year-end 2004. Nevada also
stands out, at 3 150 MW under construction, 75% of that expected in 2003. Capacity under
construction is overwhelmingly combined cycle - 14 000 MW of 16 700 total. The combined
cycle and combined cycle/cogeneration capacity categories also dominate generation put into
service since January 2001 , at 8,400 MW out of 14 800 MW. Simple cycle CTs also make a
major contribution, with 4 800 MW added last year and this.
Despite the suspension of construction during 2002 on more than 1 500 MW of capacity already
under construction, it appears that WECC reserve margins are recovering from the margins that
contributed to the 2000-2001 electricity crisis. Figure AA illustrates existing and new generation
in relation to projected peak demand for the United States portions of the WECC.
Figure A.4 WECC Existing and New Generation versus Demand
WECC Supply vs. Demand 2001-2006 (U.S. Systems Only)
(as or September 2002)
250 000
000
200 000 -
150 000
:.:
100 000
0 .
2001 2002 2003 2004 2005 2006
IIIm!iIiI Net Existing Capacity Existing Standby
IIIm!iIiI Early Development Proposed
c::::J Operating
i:EiJID Self Generator
c::::J Under Construction
_Net Exchange
Advanced Development
--+- RDI Peak
Natural Gas Overview In WECC
Natural gas plays a very important part in electricity markets in the WECC since natural gas-
fired resources are on the margin for nearly all hours of the year. Natural gas reserves in North
America appear to be plentiful. Much of the most economical new reserves, however, are in
frontier areas. In particular, large exploitable reserves are expected from arctic North Slope
resources in Alaska and the Mackenzie Delta of Canada. The major challenge in development of
- 171 -
Appx A Electric Utility Background
these resources for North American supplies is construction of one or more pipelines to Western
Canada and the United States None of the several competing arctic gas pipelines is expected to
be constructed before 2008. In the interim, liquefied natural gas (LNG) imports are expected to
meet much of the net gas demand growth over the next six years.
Natural gas pipelines are relatively easy to permit and build in the relatively unpopulated areas of
WECC. A large number of pipeline expansions or new pipelines are being proposed in WECc.
Figure A.5 shows the major gas supply basins and gas pipelines in WECc.
Figure A.S Major Gas pipelines and Supply Basins
. "
';Pjjffl1l!l~~ '\
, !,-'-". ~
WESTERN NORTH
AM:ERICAN
NATURAL GAS PIPIEUNES
(Not to SIdI!o:-)
CD TCPL Be Sy&tern(ANG)
t;J Pa$O
Q;J Kefn !River
CD Maja..'eNortlwest
(ID. TCPL Altte~ S)'~em (NOVA)
cb P~ul~m PG&E
t,!) PG&E GT.N'1/Vt9 SrI::::aK;i1IS
CW $DG&~
~. Trnnr:.wc:stwn~. 'fu~rora
Alliance
(i. No!'th(::tf! B-;)tdiJ!f
Fooihil~
0 Tra,~blaWl'$~m5
C9. KN
C:iG
G TCPt, Ma.J-rlioB
Coal Overview for WECC
Prior to May 2000, nearly all new electricity plants being proposed for WECC were fueled by
natural gas. The very high natural gas prices that occurred in the May 2000 to June 2001 time
period have resulted in renewed interest in coal-fired generation.
There are very large coal reserves in Western North America. While coal-fired generation has
higher capital cost and longer lead-time for construction, coal fuel operating costs can be much
lower than the operating cost of a natural gas generator. This is especially true if the coal plant
can be built near the coal reserve, thus avoiding the need to transport the coal great distances.
Further, coal costs are historically less volatile than natural gas costs.
172 -
Appx A Electric Utility Background
Since coal reserves are not located close to large metropolitan areas (i., where the large blocks
of retail load are located), it becomes necessary to carefully assess the capability of the
transmission grid to move the electricity from a new coal-fired generating plant to the load it will
be serving.
OVERVIEW OF THE PACIFIC NORTHWEST AREA OF THE WECC
The Pacific Northwest (PNW) is a subset of the WECc. WECC defines the PNW in two
different fashions. The larger PNW includes British Columbia and Alberta, Canada. The United
States portion of the PNW excludes them. The Pacific Northwest Electric Power Planning and
Conservation Act (Public Law 96-501 , December 5 , 1980) defines the Pacific Northwest as the
area consisting of Oregon, Washington and Idaho; the portion of Montana west of the
Continental Divide; the portions of Nevada, Utah and Wyoming that are within the Columbia
River drainage basin; and any contiguous areas not in excess of 75 air miles from the area
referred to above that are a part of the service area of a rural electric cooperative customer served
by the BP A administrator on December 5, 1980, that has a distribution system from which it
serves both within and without such region.
Under this definition, only the PacifiCorp service territory in Utah and parts of Wyoming are not
located within the PNW.
The Bonneville Power Administration
The Bonneville Project Act (P.L. 75-, August 20, 1937) was passed to establish the Bonneville
Power Administration (BP A) as the entity responsible for delivery and marketing the electricity
from federally owned dams in the PNW. Currently, BPA markets the electricity from 30
hydrogeneration projects and one nuclear plant. BP A has also built a massive electricity grid in
the PNW. BPA's transmission system accounts for about three-quarters of the region s high-
voltage grid and includes major transmission links with other regions. As such, PacifiCorp
utilizes the BP transmission system under numerous commercial arrangements (and BP A
similarly utilizes PacifiCorp s transmission system).
The Northwest Power Act of 1980
The Pacific Northwest Electric Power Planning and Conservation Act (Act) was passed by
Congress in 1980 primarily to resolve debates and litigation in the region regarding who would
have access to the Federal Base System (FBS) electricity (primarily federally owned
hydro generation facilities) whose output is marketed by the BPA. The Act prescribed the
formation of the Northwest Power Planning Council that has eight council members. The
members include two governor appointees each from Oregon, Washington, Idaho and Montana.
The Act provides for the development of both an electricity plan and a fish and wildlife program
for the PNW. Importantly for PacifiCorp, the Act provided for a "Residential Exchange" under
which PacifiCorp gets access to FBS electricity for its residential load in the PNW. This access
may be in the form of an exchange of higher cost PacifiCorp electricity for lower cost FBS
electricity or as a direct sale of FBS electricity. Resulting economic benefits are passed directly
to eligible residential customers served by PacifiCorp.
173 -
Appx A - Electric Utility Background
Endangered Species Act Effect on Electricity Supply
The Endangered Species Act (ESA) was passed by congress in 1973. ESA has had a profound
impact on electricity supply in the Pacific Northwest primarily through its impact on the
operation of hydro generation electricity plants. Declining stocks of various species of fish
(including several salmon species) have led to an effort to alter hydrogeneration project
operations to protect them. Many of the hydro generation projects in the PNW (including those
owned by PacifiCorp) require a FERC-approved license to operate. Either during the re-
licensing of these hydro generation projects or via an opening up of an existing license, FERC
can require extensive modifications to the physical facilities or operation of the facilities that
greatly reduces the electricity value of the project. Many PacifiCorp-owned hydro generation
projects are facing these issues.
Federally owned hydrogeneration projects are not licensed by FERC, but are still subject to the
ESA in their design and operation. As a result of listing a number of endangered or threatened
species of fish, the National Marine Fisheries Service (NMFS) prepares a biological opinion of
whether the operation of the Federal Columbia River Power System (FCRPS) jeopardizes the
species and, if so, how the operation of the FCRPS must be altered in order to avoid jeopardy.
These NMFS biological opinions have had a significant impact on storage and release of water at
the many federal dams in the PNW and on the use of the water (e.g. requirements to spill water
rather than running the water through turbines to create electricity). These impacts on the
FCRPS impact prices that BP A must charge PacifiCorp for certain electricity purchases, the
availability of electricity in WECC, and prices that PacifiCorp will experience in its spot market
purchases and sales.
DIRECT ACCESS INITIATIVES IN STATES WHERE PACIFICORP SERVES
Oregon
Oregon has enacted legislation (SB 1149 and HB 3633) to initiate retail choice for all customers
except residential, by March 1 , 2002. The Public Utility Commission (OPUC) is to report by
January 1 , 2003, on whether direct access will benefit residential customers. Starting March 1
2002, residential customers will be able to purchase electricity from a portfolio of rate options.
The OPUC adopted a number of rules (in AR 380) to implement provisions of SB 1149. One
key rule is that an electric company may retain only those resources that will be needed to serve
its Oregon residential and small nonresidential customers. To aid in the accomplishment of this
policy, the rules require each electric company to produce a resource plan stating whether a
generating resource should be retained to serve residential and small nonresidential consumers
and thus administratively values; sold through the auction process; or removed from the
company s Oregon revenue requirement and administratively valued. The administrative rules
that address resource plans are expected to be resolved in 2003.
The deregulation rules in Oregon also address a number of other aspects of initiating direct
access in Oregon. The other matters addressed include, but are not limited to, potential market
power, stranded cost recovery and public benefits funding.
- 174-
Appx B Public Input Process
APPENDIX B - PUBLIC INPUT PROCESS
A critical element of this planning process has been the public input process. PacifiCorp has
pursued an open and collaborative approach to involve the Commissions, customers and other
stakeholders in PacifiCorp s planning prior to PacifiCorp making resource decisions. Since
these decisions can have significant economic and environmental consequences, conducting the
resource plan with transparency and full participation from the Commission and other interested
and effected parties is essential.
The public has been involved in this resource plan from its earliest stages and at each decisive
step. Participants have both shared comments and ideas and have received information. As
reflected in the report, many of the comments provided by the participants have been adopted by
PacifiCorp and have helped contribute to the quality of this resource plan. PacifiCorp will adopt
further comments going forward, either as elements of the action plan or in future refinement to
the planning methodology.
The cornerstone of the public input process has been full-day public input meetings, held
approximately every six weeks throughout the year-long plan development period. These
meetings have been held jointly in two locations, Salt Lake City and Portland, using telephone
and video conferencing technology, to encourage wide participation while minimizing travel
burdens and respecting everyone s busy schedules.
The public input meetings were augmented by a series of focused workshops on specific topics
as the need often arose for further detailed discussion among the participants. In addition
questions or comments frequently arose in these meetings that required further consideration or
research by PacifiCorp. PacifiCorp addressed these issues, sometimes referred to as the parking
lot with written clarification.
As a further means for ensuring the public participants would be informed by data used in the
planning which is commercially sensitive, PacifiCorp utilized confidentiality agreements and
protective orders to facilitate this involvement, while protecting customers from potentially
negative consequences associated with making this data generally available.
This Appendix provides a summary of who participated; when the public input meetings
occurred and what was discussed; a summary of the public technical workshops and parking lot
issues. A summary of the comments we received on the draft report, with PacifiCorp s response
and disposition is provided in Appendix O.
Public Input Participants
Among the organizations that were represented and actively involved in this collaborative effort
were:
Citizen s Utility Board of Oregon
Committee for Consumer Services State of Utah
Crossroads Urban Center
Idaho Public Utilities Commission
- 175-
Appx B Public Input Process
Industrial Customers of Northwest Utilities
Land & Water Fund of the Rockies
Large Users Energy Company
Northwest Energy Efficiency Alliance
Oregon Department of Energy
Oregon Public Utilities Commission
Public Service Commission of Utah
RES North America
Renewables Northwest Project
Salt Lake Community Action Program
Tellus Institute
Utah Association of Energy Users
Utah Clean Energy Alliance
Utah Division of Public Utilities
Utah Energy Office
Utah Legislative Watch
Utah Wind Power Campaign
Wasatch Clean Air Coalition
Washington Utilities and Transportation Commission
Wyoming Public Service Commission
PacifiCorp extends its gratitude for the time and energy these participants have given to the plan.
Your participation has contributed significantly to the quality of this plan, and your continued
participation will help as PacifiCorp strives to improve its planning efforts going forward.
Public Input Meetin2s
PacifiCorp hosted nine full-day public input meetings to discuss various issues including inputs
& assumptions, risks, modeling techniques and analytical results. A tenth and final meeting of
this IRP cycle will be scheduled in February 2003, to provide parties an opportunity to clarify the
final IRP that has been filed. A brief summary of the topics discussed at each meeting is
provided here.
December 13, 2001
Acknowledgements of RAMPP 6
Resource Planning Environment
Desired Results from Resource Planning
Role of Resource Planning
Components of the IRP
Critical Path and timing
Next Steps
February 5, 2002
Goals
IRP
Meeting
176 -
Model Criteria & Current Models
Desired Model Criteria
Key Considerations for 2002 Model Decision
Current 2002 Resource Planning Models
Expectations of Modeling Criteria and Current Models
Comparison of Current Models
MultiSym - What It Will and Won t Do?
Where Are We Now?
Long Term Model(s)
Desired Outcomes from Discussion
Model Criteria - Is Anything Missing?
Matrix of Models Being Evaluated
Future Meetings
March 22, 2002
High Level Timeline for IRP
Inputs and Assumptions
System Topology
Load Forecasts
Market Price Forecasts
Existing Resource Stack
- New Resource Options
Environment
Risk Analysis
Risk vs. Uncertainty Discussion
Current Methodology for Analyzing and Comparing Portfolios
Next Steps/Future Agendas
May 7, 2002
Process Check - Part
Modeling Discussion
Discussion on CCS Memo
Modeling Update
Risk Analysis
Risk Modeling Update: Process, flow of information
Scenarios/Stresses: Overview of Scenarios, Overview of Stresses
Process Check - Part 2
Next Meeting
June 18, 2002
Confidentiality Agreements
Load/Resource Balances
Overview of Technical Workshops
Planning Horizon & Action Plan
- 177-
Appx B Public Input Process
Appx B Public Input Process
Portfolio Selection Process
Resource Characteristics
Size and Timing
Selecting Portfolio Combinations
Next Steps
July 30 2002
Update on "Parking Lot" Issues
IRP Environmental Issues
Update on Risk Model
Update on Portfolio Selection Process
Preliminary Results of Portfolio Runs
Next Steps
September 24, 2002
Updates since July 30 Meeting
Results of Portfolio Runs
Overview of New Portfolios
- DSM
Risk Analysis - Methods and Data
Results of Top Portfolios
Results of Reducing the Planning Margin
Sample Action Plan
Final Report Outline
Next Steps
November 5, 2002
Review of Draft Report
December 17, 2002
Review of Comments on Draft Report
Overview of Final Report
February 14, 2003
Overview of (revised) Final Report
Public Technical Workshops
In addition to the public input meetings summarized above, a number of workshops were
sponsored over the course of the planning process. These provided workshop participants with a
more in-depth discussion on specific topics and technical matters. A summary of the workshops
held is provided here:
June 7 - Full-day technical workshop on risk methodology and model architecture
June 17 - Half-day workshop on approach to demand side management issues
- 178-
Appx B Public Input Process
June 17 - Half-day workshop on approach to renewable resource issues
July 12 - Full-day technical workshop on modeling issues
August 1 - Follow-on conference call on renewable resource modeling issues
August 15 - Half-day technical modeling "chalk talk" and load/resource briefing
August 20-21 - Load/resource briefings with participants
September 13 - Briefing on IRP issues to PacifiCorp s Environmental Forum
October 4 - Follow-on conference call on technical risk modeling issues
November 19 - Half-day workshop on approach to renewables resources
November 19 - Half-day workshop on approach to demand side management
Parkin!! Lot Issues
During the course of the public input meetings, certain concerns needed additional explanation
from PacifiCorp. In the course of the public input meetings and workshops, questions or issues
were often raised which were taken off-line or put in a "parking lot." PacifiCorp either
responded in writing in detail to address these parking lot issues, or in many cases, addressed
them in a subsequent public input meeting or workshop. Some of the topics included:
Modeling
Accounting for loss or gain of revenue in risk modeling
Methodology for forecasting modeling prices
Renewable Resources
Wind Generation
Competitive Wholesale Market Assumptions
Pricing in a fully competitive market
Portfolios
Process and criteria to determine most favorable portfolio
Risk Assessment Methodology
Approach for assessing risk and uncertainty in the IRP analysis reserves
Clarifying questions from group
Capital Revenue Requirement
- How it is calculated and applied in the IRP analysis
Many elements ofPacifiCorp s response to parking lot items were contained in memorandums to
the public input participants distributed on July 1 , 2002 and August 29, 2002. PacifiCorp also
responded in writing to comments and questions on wind electricity on July 24, 2002.
- 179-
Appx C - Assumptions
APPENDIX C - ASSUMPTIONS
Table
C.1
C.2
c.3
C.4
c.5
c.7
c.9
C.11
C.13
c.15
c.16
c.17
c.20
c.21
C.22
C.23
c.24
C.25
C.26
C.27
c.28
c.29
c.31
Description
Contracts Modeled in IRP
Long Term Wholesale Purchase Contracts
Long-Term Wholesale Sales Contracts
DSM All-State Summary
Idaho DSM Projects
Washington DSM Projects
Wyoming DSM Projects
Utah DSM Projects
California DSM Projects
SO2 Emission Costs
NOx Emission Costs
Annual Average Natural Gas Prices
Annual Average Coal Prices for each of the PacifiCorp owned plants
Thermal Plant Heat Rates
Hydrogeneration Plant Life
Hydrogeneration Relicensing Impacts on Generation
Calculation of the Federal Renewable Portfolio Standard (RPS) Model
Potential Supply Side Resources
Potential Supply Side Resources
Potential Supply Side Resources
System Load Forecast for PacifiCorp Control Areas
Thermal Plant Emission Rates for PacifiCorp Generation Plants
Forced Outage Rates
Thermal Plant Retirement Schedule
Thermal Plant Variable O&M Costs
Wholesale Market Prices
Spot Market Prices
CG 16 Emission Rates
MIDAS Price Model Assumptions
New Resource Option Assumptions for CG16 Base Case
Nominal Capital Escalation
Demand Growth Assumptions
Page
182
184
185
186
187
189
191
192
194
195
196
198
199
200
204
205
207
209
213
214
216
217
218
222
223
226
227
228
229
230
230
231
Figure DescriptionC.1 Annual Average Natural Gas Prices
IRP Transmission Topology
Page
199
224
CONTRACTS
A number of contracts were modeled in this analysis. The contract identifiers and classification
(purchase, sale, or exchange) are shown in the tables C.1 , C.2and C.
- 181 -
Appx C - Assumptions
Table C.t Contracts Modeled in IRP
EXCHANGE EAST
Arizona Public Service 4C/Pinnacle
Company Seasonal Exchange Take Peak OI-Mar-Oct 15-Feb 15
Arizona Public Service 4C/Pinnacle
Company Seasonal Exchange Return Peak OI-Jan-May 15-Sep 15
Arizona Public Service Supplemental Energy Purchase
Company Option OI-Jan-year round
Bonneville Power
AdministratIOn South Idaho Exchange UT Main year round
City of Redding Exchange agrecment West Wing OI-Dec-year round
Public Service of Colorado Generation Control Storagc Wyoming OI-Apr-year round
Public Service of Colorado Generation Control Delivery Craig Hayden OI-Sep-year round
Southern California Edison Exchange agreement SPI5 OI-Oct-year round
Tn-State Generation &
Transmission Seasonal Exchange Take Wyoming OI-Oct-Oct-Mar
Tn-State Generation &
TransmIssion Seasonal Exchange Return Wyoming OI-Apr-Apr-Sep
SALES EAST
~-'"'~'
~;N
Arizona Electric Power
Cooperative Power Sales Agreement Westwing OI-Oct-May - Sep
Black Hills Corporation Power Sales Agreement UT Main OI-Jul-year round
Public Service of Colorado Power Sales Agreemcnt Craig Hayden OI-Nov-year round
Siem Pacific Power Company Power Sales Agreement Sierra OI-Mar-year round
Utah Municipal Power Agency Power Sales Agreement UT Main OI-Jul-year round
Utah Municipal Power Agency Power Sales Agreement UT Main OI-Jul-year round
Wyoming
Power Purchase Agreement Wyoming
28-Jun-year round
02-0ct-year round
I3-Nov-year round
OI-Oct-June-Sep
OI-Oct-June-Sep
OI-Jan-year round
Foote Creek Exchange Wyoming
Morgan Stanley
Sempra
Tn-State Generation &
Transmission
Rock River Wind Purchase
Power Purchase Option
Power Purchase Option
Wyoming
Mona
NV-
LEASE EAST
year round
- 182-
Table c.t Contracts Modeled in IRP (Continued)
EXCHANGE WEST
Appx C - Assumptions
Avista Utilities June - Sep
Avista Utilities
Bonneville Power
Administration
Bonneville Power
Administration
Bonneville Power
Administration
Bonneville Power
Administration
City of Redding
Colockum Transmission
Company
Sacramento Municipal
Utility District
Sacramento Municipal
Utility District
Seattle City Light
SALE WEST
Seasonal Exchange Take
Seasonal Exchange Return MidC
South Idaho Exchange
Summer Storage/ Spring
Energy
Foote Creek I Wind
Exchange
Foote Creek 11 Wind
Exchange
Exchange agreement
Exchange agreement
Exchange Agreement
Exchange agreement Take
Stateline Wind Exchange
MidC
West Main
West Main
WMain
WMain
COB
MidC
COB
COB
MidC
OI-Jan-
OI-Apr-
OI-Jan-
22-Apr-
OI-Aug-
OJ-Dee-
03-Jul-
OJ-lan-
OJ-lan-
OI-Mar-
Dec-Feb
year round
Jun-July, Sep-Nov
year round
year round
year round
year round
year round
year round
year round
Black Hills Corporation
Bonneville Power
Administration
Bonneville Power
Administration
California Dept of Water
Resources
Eugene Water and Electric
Board
Power Sales Agreement
Canadian Entitlement
Allocation
Foote Creek IV Exchange
Finn capacity/Energy Sale COB
BPA, Foote Creek I
Flathead Energy Northwest Power Sales Agreement
Puget Sound Power andLight Power Sales Agreement
Springfield Utility Board
Westen Area Power
AdministratIOn
PURCHASE WEST
Power Sales Agreement
Power Sales Agreement
Bridger/
MidC
MidC
WMain
WMain
MidC
MidC
WMain
COB
OI-Jul-
OI-Sep-
OI-Dec-
OJ-lan-
22-Apr-
OI-Oct-
OI-Nov-
Ol-Aug-
OJ-lan-
year round
year round
year round
year round
year round
year round
year round
year round
year round
Bonneville Power
Administration
TransAlta Energy
Marketing
Henniston Generation
Company
Block Power
Purchase/Clark Load
Servicing Agreement WMain
Henniston
Power Purchase Agreement W Main
WMain
12-Dee-
30-Jun-
30-Jun-
- 183-
year round
year round
year round
Appx C - Assumptions
Table c.2 Long Term Wholesale Purchase Contracts
Long-term Wholesale Purchases
Summer Capacity (MW)
2003 2004 2005 2006 2007 2008 2009 2010 2015 2020
Purchases
APS Sea Ex (P)
APS Supplemental 250 250 250 250 250 250 250 250 250 250
BPA Block P CPU (Clark)464 464 464 464 464
BPA Spring Ex (P)
BPA Foote Creek 2
BP A Foote Creek 4
BP A Peaking Capacity Ex (P)925 750 575 575 575 575 575 575
CoJockum (P)
CSPE
Deseret Annual
Deseret Expansion
Deseret NF
Gem State
Grant County
GSLM
Idaho Load Control 150 150 150 150 150 150 150 150 150 150
Interruptible (P)
Morgan Stanley (Option)100 100
PGE Cove
PSCO
QF Goshen
QF Or/Wa
QF Utah ,50
QF Wyoming
Redding (P)21 I
Rock River
SCE 200 200 200 I 200
Sempra (Options)100 100
So Idaho Ex (P)204 204 204 204 204 204 204 204 204 204
State1ine 150 150 150 150 150 150 150 150
TransAJta 400 400 400 400 400
Tri-State Basic
Tri-State Ex (P)
WWP Seasonal Ex (P)
WWP Summer Purchase 150
Purchased Power 530 205 855 853 650 779 726 724 974 953
(P) = Purchase
- 184-
Appx C - Assumptions
Table c.3 Long-Term Wholesale Sales Contracts
Long-term Wholesale Sales
Summer Capacity (MW)
2003 2004 2005 2006 2007 2008 2009 2010 2015 2020
Sales
APS Sea Ex (S)480 480 480 480 480 480 480 480 480 480
Black Hills 1996
Black Hills Load
BPA Foote Creek 2
BPA Foote Creek4
BPA Spring Ex (S)
BPA Summer Ex (S)
BPA Wind Sale
Canadian Entitlement
CDWR 100 100
Citizens Power
Clark County POD
Clark-
Colockum (S)
Deseret Supplemental
EWEB
Green Mountain
Hinson
Hurricane Net Sale
Large Industrials 367 367 367 367 367 367 367 367 367 367
Montana Sell Back
Okanogan
PNGC
PSCO
PSCO 176 176 176 176 176 176 176 176 176 176
Puget 2 200
Redding (S)50 I
SCE OWC 200 200 200 200
SCE Utah
Sierra 2
SMUD 100 100 100 100 100 100 100 100
So Idaho Ex (S)204 204 204 204 I 204 204 204 204 204 204
Springfield
Springfield II
Stateline
Tri-State Ex (S)
UMPA I
UMPA2
WAPAI
WAPA 2
WWP Seasonal Ex (S)
Total Sales 378 173 020 012 692 639 639 i 564 334 284
(S) = Sale
- 185-
Appx C - Assumptions
DEMAND SIDE MANAGEMENT (DSM) - EXISTING
DSM is currently included in the load forecast. The details of existing DSM projects are
presented below. Future DSM projects are discussed in Appendix
The following applies to all programs in all states:
Description of Project: Program to provide technical assistance and financial incentives for
commercial and industrial customers to permanently install energy efficiency measures at
their facilities
Life of Project: Aggregate program results deliver 15 years of savings. Programs are run for
10 years at the same level. Savings after the end of the measured life are unknown and while
measures are likely to be replaced with measures of equal or greater efficiency, the cost to
maintain" that savings and any degradation is not quantified here.
Timing of Savings: The majority of commercial and industrial savings occur during heavy
load hours in addition to light load hours
Savings are all at site and should be "grossed" up for line losses. Industrial line losses are
06% for evaluations. Evaluation minus commercial line losses = 11.48%
Program results are in aggregate and are comprised of individual projects. Results and
costs are based on prior "as run" experience in Oregon, Washington and Utah. Program
performance varies slightly depending on measure installations and vertical market segments.
Those assumptions are averaged for the purposes of this analysis
Fiscal year vs. calendar year: costs and savings are listed for calendar 2003.
Table C.4 DSM All-State Summary
Total Annual Residential , Commercial , and Industrial Program Targets
Fiscal Year MWa MWH
2003 18.164 316 353,742
2004 18.166 345 33,426,007
2005 20.176 546 395 328
2006 18.157 880 23,188,147
2007 14.127 390 22,464 000
2008 14.123 205 934 000
2009 14.123 205 934 000
2010 14.123 205 934 000
2011 14.123 205 934 000
2012 14.123 205 934 000
Tables c.5, c.6, C., c.8 and c.9 summarize demand side management programs by state.
- 186-
Table c.5 Idaho DSM Projects
ID Small Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 314 500 000 225 000
2005 314 1,400,000 210 000
2006 314 400 000 210,000
2007 314 1,400 000 210 000
2008 314 1,400 000 210,000
2009 314 1,400 000 210,000
2010 314 1,400 000 210 000
2011 314 1,400,000 210 000
2012 314 1,400 000 210 000
ID Large Retrofit
Fiscal Year Mwa MWH M/Mwa
2004 190 500,000 375 000
2005 190 1,400 000 350 000
2006 190 1,400,000 350 000
2007 190 400 000 350 000
2008 190 1,400 000 350 000
2009 190 1,400 000 350,000
2010 190 1,400 000 350,000
2011 190 1,400 000 350 000
2012 190 1,400 000 350,000
ID Energy FinAnswer
Fiscal Year Mwa MWH $M/Mwa
2004 256 600 000 960 000
2005 256 500 000 900 000
2006 256 500 000 900,000
2007 256 500 000 900 000
2008 256 500 000 900 000
2009 256 500 000 900 000
2010 256 500 000 900 000
2011 256 500 000 900 000
2012 256 500 000 900 000
ID Res. AC Best Practices serviceFiscal Year Mwa
2004
2005
2006
2007
2008
2009
2010
2011
2012
28-02 deleted from
inputs based on
preliminary screening.
pres from Alliance is
logical replacement.
Appx C - Assumptions
ID annual summary
Fiscal Year Mwa MWH
2004 080 2,429,400
2005 207 365,400
2006 771 921 000
2007 783 710 000
2008 823 560 000
2009 823 560 000
2010 823 560,000
2011 823 560 000
2012 823 560,000
ID Res - CFL
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
ID Res - High efficency CAC
Fiscal Year Mwa MWH
2004 1128 988 277 000
2005 1273 115 313 000
2006 1128 988 211 000
2007
2008
2009
2010
2011
2012
ID Res - Appliance recycle
Fiscal Year Mwa MWH
2004 1494 309 342,400
2005 1494 309 342 400
2006
2007
2008
2009
2010
2011
2012
- 187-
Table c.S Idaho DSM Projects (Continued)
ID Res - Low Income WX
Fiscal Year Mwa MWH
2004 0072 100 000
2005 0072 100 000
2006 28-02 deleted from inputs2007based on preliminary
2008 screening. Alliance is logical
2009 primary delivery channel.
2010
2011 0072 100 000
2012 0072 100 000
2013 0072 100 000
2014 0072 100 000
2015 0072 100 000
2016 0072 100 000
2017 0072 100 000
2018 0072 100 000
2019 0072 100 000
2020 0072 100 000
2021 0072 100 000
2022 0072 100 000
Appx C - Assumptions
ID Res - Energy Star Appliances - electric water heat only
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
ID Res - Web Audit
Fiscal Year Mwa MWH
2004 1096 960 150 000
2005 1096 960 150 000
2006 1096 960 150 000
2007 1096 960 150 000
2008
2009
2010
2011
2012
- 188-
Table C.6 Washington DSM Projects
WA Small Retrofit
FiscalYear Mwa MWH $M/Mwa
2004 2600 278 500 000 390 000
2005 2600 278 1,400 000 364 000
2006 2600 278 1,400 000 364 000
2007 0.2600 278 1,400,000 364 000
2008 2600 278 1,400 000 364 000
2009 2600 278 1,400 000 364 000
2010 2600 278 1,400 000 364 000
2011 2600 278 1,400 000 364 000
2012 2600 278 1,400,000 364 000
WA Large Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 0.4000 504 500 000 600 000
2005 4000 504 1,400 000 560 000
2006 0.4000 504 1,400 000 560 000
2007 0.4000 504 400 000 560 000
2008 0.4000 504 1,400 000 560 000
2009 0.4000 504 1,400 000 560 000
2010 0.4000 504 1,400,000 560 000
2011 0.4000 504 1,400,000 560 000
2012 0.4000 504 1,400 000 560 000
WA Energy FinAnswer
Fiscal Year Mwa MWH $M/Mwa
2004 0000 760 600 000 600,000
2005 0000 760 500 000 500 000
2006 0000 760 500 000 500,000
2007 1.0000 760 500 000 500 000
2008 0000 8,760 500 000 500 000
2009 0000 760 500,000 500 000
2010 0000 760 500 000 500 000
2011 0000 760 500 000 500 000
2012 0000 760 500 000 500 000
WA Res - AC Best Practices service
Fiscal Year Mwa MWH
2004
2005
2006 28-02 deleted from inputs
2007 based on preliminary
2008 screening. PTCS from
Alliance is logical
2009 replacement.
2010
2011
2012
- 189-
Appx C - Assumptions
WA total annual
FiscalYear Mwa MWH
2004 5802 603 894 969
2005 6155 912 4,433,075
2006 3452 544 187 147
2007 0710 142 674 000
2008 7970 15,742 3,424 000
2009 7970 742 3,424 000
2010 7970 15,742 3,424 000
2011 7970 742 3,424,000
2012 7970 742 3,424 000
WA Res - CFL
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
WA Res - High efficency CAC
Fiscal Year Mwa MWH
2004 2739 399 672 969
2005 3091 708 759,075
2006 2742 402 513,147
2007
2008
2009
2010
2011
2012
WA Res - Web Audit
Fiscal Year Mwa MWH
2004 2740 2,400 250,000
2005 0.2740 2,400 250 000
2006 2740 2,400 250 000
2007 2740 400 250 000
2008
2009
2010
2011
2012
Appx C - Assumptions
Table c.6 Washington DSM Projects (Continued)WA Res - Low Income WX WA Res - Appliance recycle
Fiscal Year Mwa MWH
2004 1370 200 000 000
2005 1370 200 000,000
2006 1370 200 000 000
2007 1370 200 000 000
2008 1370 200 000,000
2009 1370 200 000 000
2010 1370 200 000 000
2011 1370 200 000 000
2012 1370 200 000,000
2013 1370 200 000 000
2014 1370 200 000 000
2015 1370 200 000 000
2016 1370 200 000 000
2017 ""'"7"
. """
""" 00
2018 28-02 Deleted from inputs
2019 based on preliminary
..::...:....
screening. Alliance would .QQ..
2020 be logical primary delivery c2Q...
2021 channel.c2Q...
2022 lj(U I l ZUU I UUU
- 190-
Fiscal Year Mwa MWH
2004 2354 062 382 000
2005 2354 062 382 000
2006
2007
2008
2009
2010
2011
2012
WA Res - Energy Star Appliances
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
Table c.7 Wyoming DSM Projects
WY Small Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 190 500 000 375,000
2005 190 1,400 000 350 000
2006 190 1,400 000 350 000
2007 190 1,400 000 350 000
2008 190 1,400 000 350 000
2009 190 1,400,000 350 000
2010 190 1,400 000 350,000
2011 190 1,400 000 350 000
2012 190 1,400 000 350 000
WY Large Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 380 500 000 750 000
2005 380 1,400 000 700 000
2006 380 400 000 700 000
2007 380 1,400,000 700 000
2008 380 1,400,000 700 000
2009 380 1,400,000 700 000
2010 380 1,400,000 700 000
2011 380 400 000 700 000
2012 380 1,400,000 700 000
WY Energy FinAnswer
Fiscal Year Mwa MWH $M/Mwa
2004 760 600 000 600 000
2005 8,760 500,000 500 000
2006 760 500,000 500 000
2007 950 500 000 875,000
2008 950 500 000 875,000
2009 950 500 000 875,000
2010 950 500 000 875 000
2011 950 500 000 875 000
2012 950 500,000 875,000
WY Res - Energy Star Appliances -electric water heat only
FiscalYear Mwa MWH
2004 0114 107 850
2005 0180 157 116 700
2006
2007
2008
2009
2010
2011
2012
191 -
Appx C - Assumptions
WY total annual
Fiscal Year Mwa MWH
2004 220 381,490
2005 18,278 215 340
2006 330 550 000
2007 520 925 000
2008 520 925 000
2009 520 925,000
2010 520 925,000
2011 520 925 000
2012 520 925,000
WY Res - CFL
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
WYR A res -pp lance rec~c e
Fiscal Year Mwa MWH $/Mwa
2004 3186 791 548,640
2005 3186 791 548 640
2006
2007
2008
2009
2010
2011
2012
Table c.S Utah DSM Projects
UT Small Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 760 500 000 500 000
2005 760 1,400 000 1,400 000
2006 8,760 1,400 000 1,400,000
2007 760 1,400 000 1,400,000
2008 760 1,400 000 1,400 000
2009 760 1,400 000 1,400 000
2010 760 1,400 000 1,400 000
2011 760 1,400 000 1,400 000
2012 760 1,400 000 1,400 000
UT Large Retrofit
Fiscal Year Mwa MWH $M/Mwa
2004 520 500 000 000 000
2005 900 1,400 000 500 000
2006 900 1,400 000 500 000
2007 900 1,400 000 500 000
2008 900 1,400 000 500 000
2009 900 1,400 000 500 000
2010 900 1,400 000 500 000
2011 900 400 000 500 000
2012 900 1,400 000 500 000
UT Energy FinAnswer
Fiscal Year Mwa MWH $M/Mwa
2004 800 600 000 000 000
2005 180 500 000 250 000
2006 180 500 000 250 000
2007 180 500 000 250 000
2008 180 500 000 250 000
2009 180 500 000 250 000
2010 180 500,000 250 000
2011 180 500 000 250 000
2012 180 500 000 250 000
UT Res - High efficency CAC
Fiscal Year Mwa MWH
2004 0140 643 958 642
2005 2734 915 4,465 148
2006 0167 666 018 513
2007
2008
2009
2010
2011
2012
- 192.
Appx C - Assumptions
UT total annual
Fiscal Year Mwa MWH
2004 12.43 108 891 645 642
2005 13.120 044 690 148
2006 12.108 130 001 513
2007 840 150 000
2008 840 13,150 000
2009 840 150 000
2010 840 150 000
2011 840 150 000
2012 840 150 000
UT Res - CFL
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
UT Res - Coupon CFL
Fiscal Year Mwa MWH
2004 0.43 770 250 000
2005
2006
2007
2008
2009
2010
2011
2012
UT Res - AC Best Practices service
Fiscal Year Mwa MWH
2004 1575 380 770 000
2005 3973 3,480 645 000
2006 5479 800 085 000
2007
2008
2009
2010
2011
2012
Table c.S Utah DSM Projects (Continued)
UT Res - Appliance recycle
Fiscal Year Mwa MWH $/Mwa
2004 7313 166 247 000
2005 7313 15,166 247 000
2006
2007
2008
2009
2010
2011
2012
UT C&I retro-commissioning -5kWh/SF
Fiscal Year Mwa MWH
2004 0565 495 266 000
2005 2260 980 464 000
2006 6592 775 970 000
2007
2008
2009
2010
2011
2012
- 193-
Appx C - Assumptions
UT Res - Energy Star Appliances -electric water heat
only
Fiscal Year Mwa MWH
2004 0408 357 654 000
2005 0757 663 719 000
2006 1197 049 778,000
2007
2008
2009
2010
2011
2012
Table c.9 California DSM Projects
CA Retrofit - Combined
Fiscal Year Mwa MWH $M/Mwa
2004 190 600 000 400 000
2005 190 600 000 400 000
2006 190 600 000 400 000
2007 190 600 000 400,000
2008 190 600 000 400 000
2009 190 600 000 400 000
2010 190 600 000 400 000
2011 190 600 000 400 000
2012 190 600 000 400 000
CA Res - CFL
Fiscal Year Mwa MWH
2004
2005
2006
2007
2008
2009
2010
2011
2012
CA Res - Low Income WX
Fiscal Year Mwa MWH
2004 0103 150 000
2005 0103 150,000
2006 0103 150,000
2007 0103 150 000
2008 0103 150 000
2009 0103 150 000
2010 0103 150 000
2011 0103 150 000
2012 0103 150 000
2013 0103 150 000
2014 0103 150 000
2015 0103 150,000
2016 0103 150,000
2017 0103 150 000
2018 0103 150 000
2019 0103 150 000
2020 0103 150 000
2021 0103 150,000
2022 0103 150 000
- 194-
Appx C - Assumptions
CA total annual
Fiscal Year Mwa MWH
2004 105 680 000
2005 105 680 000
2006 105 680 000
2007 105 680 000
2008 280 550 000
2009 280 550 000
2010 280 550 000
2011 280 550 000
2012 280 550 000
CA Res - Web Audit
Fiscal Year Mwa MWH
2004 0942 825 130 000
2005 0942 825 130 000
2006 0942 825 130 000
2007 0942 825 130 000
2008
2009
2010
2011
2012
Appx C - Assumptions
EMISSION COSTS
Note all costs referred to in this Emission Costs Assumption section are per calendar year.
SO2 Emission Costs
Current vintage SO2 allowances are trading within the $140/ton to $150/ton range, with future
vintage SO2 allowances (2005) currently trading at similar price levels. Lowering the SO2 cap in
general will place upward pressure on SO2 allowance prices. However, this will most likely be
balanced with the downward pressure associated with PM2.5 and Hg regulations that will
encourage additional scrubbers and related technology. As a result, long-term allowance prices
are likely to only increase at a modest rate, although numerous uncertainties exist related to the
timing and nature of future legislation that will effect to what extent prices will change.
Table C.I0 lists the SO2 emission costs used in the IRP. The prices are derived from PlRA
projections that prices would need to move from $175/ton in 2002 up to $350/ton to $400/ton in
order for credit prices alone to achieve the current Clean Air Act Amendment of 1990
(CAAA90) annual SO2 cap for 2009 at 8.98 million tons. For the IRP, this upper price range
was slightly modified to take into account the downward pressure of Hg and PM2.5 regulations.
Table c.l0 SO2 Emission Costs
SO2 Emission Costs
Year $/ton SO2
2003 199
2004 226
2005 256
2006 291
2007 330
2008 375
After 2008
escalation/year 17
NOx Emission Costs
Current vintage NOx allowances (within the OTC trading regime) are trading within the $600-
700/ton range, with future vintage allowances trading within the $4 200 to 4 900/ton range (the
dramatic change in price due to the prescribed decline in allowance allocations for OTC
participants beginning in 2003). For non-OTC participants, NOx emission standards will not be
of issue until future legislation is enacted (with the exception of units subject to the South Coast
Air Quality Management District (SCAQMD) in Southern California which oversees the
RECLAIM emissions trading program). As with SO2, NOx prices will receive upward pressure
from a lower emission cap, but will be balanced by a downward pressure from PM2.5 regulations.
5% is the standard inflation rate assumed by PacifiCorp
- 195-
Appx C - Assumptions
Table c.ll lists the NOx compliance costs used in the IRP. SCAQMD prices are incorporated
only as a factor affecting electricity market prices.18 Otherwise, NOx emission costs were
derived from PlRA's assessment that $2 000/ton in 2002 is "roughly in line with SCR costs if
computed on a year round basis " which was then escalated at 2.5% until 2008 when NOx
allowance trading is forecasted to start.
Table c.ll NOx Emission Costs
NO, Emission Costs
2002 2005 2008
SCAQMD $15 000/ton 000/ton 384/ton
WECC (excluding N/A N/A 3 I 9/ton CA)
Mercury (Hg) Emission Costs
Hg was addressed in the CAAA90 under the National Emissions Standards for Hazardous Air
Pollutants (NESHAPS) regulations, yet source identification and associated rules are not
currently defined/enforced. However, through either current proposed federal legislation or the
promulgation of Hg standards from the EP A through the MACT regulations, the need for Hg
emission compliance is expected by 2007/2008.
Hg emission costs were implemented starting in 2008 at $231 939 000/ton ($115 969/lb), then
escalating at 2.5%/year through the remainder of the study period. This value was derived from
PIRA data that cites an EP A estimate that $lOO OOO/lb in 2002 reflects the "marginal cost to
achieve reductions in Hg emissions by electricity producers to 7.5 tons in year 2012 " in
association with NOx and SO2 reductions. This was then escalated at 2.5%/year until 2008 when
Hg allowance trading is assumed to start.
CO2 Emission Costs
There are currently no national regulated standards for CO2 emIssIOns, although there exist
voluntary emission reduction programs and trading markets. S.556 incorporates mandatory CO2
emission reductions and the establishment of a related trading market, but it remains a
significantly contentious issue. In addition, the Kyoto Protocol (although not ratified by the
u.S.) may still play an indirect role in terms of placing pressure on U.S. corporations to
voluntarily reduce greenhouse gas (GHG) reductions. Other factors include existing and
potential state-level regulations as state officials react to public concern.
With all the uncertainty surrounding future GHG reduction legislation, cost adders were chosen
as the best method to reflect the wide array of potential offset costs. The base case CO2 adder
was set at $8/ton CO2 starting in 2008 , then escalating at 2.5%/year for the remainder of the
study period. This adder is based on the higher end of the range of currently available offsets
and is in line with the cost of compliance tools emerging internationally. The timing and price
assumes the following policy scenario:
18 The SCAQMD 2002 price reflects the pure market-derived price structure at the time. 2005 is based on the current cap implemented
during the CA energy crisis. 2008 is derived from escalating the 2005 price by 2.5%/year.
- 196-
Appx C - Assumptions
No action on climate issues until the end of the next Presidential cycle (2008)
Actions will require reductions of all utility players, with some modest limits on flexibility
Early trades in emerging markets provide an accurate estimate for the price of reductions in
the U.
Particulate Matter
Compliance costs associated with the pending PM2.5 regulation were not modeled as an
additional cost factor.
EMISSION RATES
Data on plant emission for this analysis were derived primarily from two sources: the EP A
Continuous Emissions Monitoring System (CEMS), and FERC Form 423. The EPA Continuous
Emissions Monitoring System includes hourly operational data for approximately 2 800
individual generators in the NERC regions.
S02 Emission Rates
The SO2 emission rates for coal fuels are updated using data on coal delivered at each coal plant
reported in the 2000 FERC Form 423 data. The 2000 FERC Form 423 fuel data reports the
sulfur content, the amount of coal (tons) and the energy content (Btu) for all coal deliveries at
each reporting plant. Calculations are then performed to determine the uncontrolled SO2
emission rates (lb/MMBtu) for many of the coal fuels in the NERC regions. Estimates of
average emission rates based upon coal type and region are also performed. The average
emission rates by coal type and region are then used to estimate the SO2 emission rates for coal
plant without any reported data.
For plants where the future installation date of emission controls could be projected, calculations
of emission rates prior to emission control technology were derived from the SO2 content in the
coal (lb/MMBtu) and percent removal/ SO2 retention data. For all other plants, 2001 historical
data was used.
Calculations of emission rates after emission control technology (i.e. scrubbers) were performed
using actual SO2 emissions data from the 2000 EP A CEMS data. For controlled units emissions
will be controlled below the state limit. For coal units that did not report any data, average SO2
removal rates are assigned based upon plants of similar age, fuel, and region
NOx Emission Rates
Year 2000 EPA CEMS data was used to model NOx emission rates (lbs/MMBtu) for generating
units that reported to the EP A. Units that did not report emission data to the EP A had NOx
emission rates estimated based upon plants of similar fuel type, unit type, and age. NOx
emissions reductions projected to occur at a number of coal plants over the next few years were
also included in the database. PacifiCorp plant NOx emission rates were also based on CEMS
data.
- 197-
Appx C - Assumptions
Mercury Emission Rates
Mercury (Rg) emission rates were based on the EP AlEPRI Study: An Assessment of Mercury
Emissions from us. Coal-Fired Power Plants, October 2000.
Carbon Emission Rates
CO2 emission rates are based on Continuos Emission Monitor (CEM) data from each of the
plants.
EXISTING PLANT COSTS
Only incremental costs between proposals were analyzed. Ongoing fixed costs related to
existing plants and contracts, such as fixed O&M, ongoing capital costs for overhauls, and
current plant in-service balances were ignored because they are the same under all scenarios.
FUEL COSTS
The Tables C.12 and c.13 along with Figure C.1 below summarize the fuel cost inputs. Natural
gas prices were developed from blending the August I , 2002 "near-term forward prices from
market" forecast (produced internally) with PlRA's long term gas forecast dated March 12
2002. The blending method utilized was the same as the method used in determining market
prices, which is described later in this appendix. Coal prices were developed from PacifiCorp
Fuel Resources forecasts.
Table c.12 Annual Average Natural Gas Prices
Annual Average Natural Gas Prices
MidC & Utah ($/MMBtu)
Fiscal Year MidC Utah
2004 $3.$3.
2005 $3.$3.
2006 $4.$3.
2007 $4.$4.
2008 $4.42 $4.
2009 $4.$4.
2010 $3.$3.
2011 $3.$4.
2012 $4.40 $4.
2013 $4.$4.
2014 $4.45 $4.
2015 $4.$4.
2016 $5.$5.
2017 $5.$5.
2018 $5.$5.44
2019 $5.46 $5.
2020 $5.$5.
2021 $5.$5.
2022 $5.$5.
2023 $5.$5.
- 198-
Appx C - Assumptions
Figure c.1 Annual Average Natural Gas Prices
Annual A",ragc Natural Gas Prices
S6.50
$6.
" S5.50
~ S5.
E $4.
'" $4.
S3.50
S3.
# ,,~jp ,,q, ,,':, "':",, ,,':,~ ,," "':,q, "':,,,':, "':"
Fiscal Year
-+-Mid C
---- Utah
Table c.B Annual Average Coal Prices for each of the PacifiCorp owned plants
Annual Average Deliverd Coal Price by Plant
($/MMBtu)
Fiscal Year Cholla Colstrip Carbon Hunter Huntin!!ton Hayden Craig Bridger Johnston Naughton Wvodak
2004 $1.21 $0.$0.$0.$0.$1.08 $1.03 $1.10 $0.$1.13 $0.
2005 $1.24 $0.$0.$0.$0.$1.08 $1.03 $1.13 $0.52 $1.14 $0.
2006 $1.28 $0.$0.$0.$0.$1.03 $1.03 $1.17 $0.51 $1.17 $0.
2007 $1.33 $0.$0.$0.$0.$0.$1.02 $1.19 $0.$ 1.20 $0.
2008 $1.36 $0.$0.$0.$0.$0.$1.04 $1.21 $0.$1.23 $0.
2009 $1.40 $0.$0.$0.$0.$0.$1.07 $1.24 $0.$1.26 $0.
2010 $1.43 $0.$0.$0.$0.$0.$1.10 $1.27 $0.$1.28 $0.
2011 $1.46 $0.$0.$0.$0.$0.$1.13 $1.30 $0.58 $1.31 $0.
2012 $1.49 $0.$0.$0.$0.$0.$1.13 $1.33 $0.$1.34 $0.
2013 $1.53 $0.$0.$0.$0.$0.$1.16 $1.36 $0.$1.37 $0.
2014 $1.56 $0.$0.$0.$0.$0.$1.18 $1.39 $0.$1.39 $0.
2015 $1.59 $0.$0.$0.$0.$1.01 $1.21 $1.41 $0.$1.42 $0.
2016 $1.62 $0.$0.$0.$0.$1.03 $1.23 $1.44 $0.$1.45 $0.
2017 $1.66 $0.$0.$0.$0.$1.05 $1.26 $1.47 $0.$1.49 $0.
2018 $1.69 $0.$0.$0.$0.$1.07 $1.29 $1.51 $0.$1.52 $0.
2019 $1.73 $1.00 $0.$0.$0.$1.10 $1.31 $1.54 $0.$1.55 $0.
2020 $1.77 $1.02 $0.$1.01 $0.$1.12 $1.34 $1.57 $0.$1.58 $0.
2021 $1.80 $1.04 $0.$1.03 $1.00 $1.14 $1.37 $1.60 $0.$1.62 $0.
2022 $1.84 $1.06 $0.$1.05 $1.02 $1.17 $1.40 $1.64 $0.$1.65 $0.
2023 $1.88 $1.08 $0.$1.07 $1.04 $1.19 $1.43 $1.67 $0.$1.68 $0.
- 199-
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Appx C - Assumptions
HOURLY OPERATING MARGIN
The Hourly Operating Margin, after unit forced outage, was based on WECC Operating
Reserves to cover Contingency Reserves and Regulating Reserves.
Regulating Reserves: 175 MW to control frequency to ACE tolerance
Contingency Reserves: 5% of control area demand carried by hydro generation and 7% of the
control area demand carried by thermal units.
- 203-
Appx C - Assumptions
HYDROGEN ERA TION PLANT OPERATING LIFE
Table C.t5 Hydrogeneration Plant Life
Power Supply Estimated Plant Lives Hydro Resources
PacifiCorp
Share Net Weighted Power Supply Power Supply Vears
Ratiug Commercial Curreut Average Age Recommended Recommedation Remaining
Plant (MW)Date Age of Unit of Plant Life Vear Ending Life from 2002
Ashton 1923 105 2028
StAnthony "1915 113 2028
Cutler 30.1927 2024
Coye 1917 114 2031
Gracc 33.1923 108 2031
Onieda 30.1915 116 2031
Soda 14.1924 107 2031
Upper American Fork 1964 2008
Pioneer 1914 116 2030
Stairs 1.00 1914 III 2025
Weber 1949 2020
Bia Fork 1924 107 2031
Wallowa Falls 1.10 1921 2016
Powerdale 1923 2018
Condit 1913 2006
Merwin 136.1932 104 2036
Swift-240.1958 2036
Yale 134.1963 2036
Lemolo-29.1955 2040
Lemo10-33.1956 2040
Clearwater-15.1953 2040
Clearwater-26.1953 2040
Tokatee 42.1939 101 2040
Fish Creek 11.00 1952 2040
Soda Sorinas 11.00 1952 2040
Slide Creek 18.1951 2040
Prospec:t-2-&4 ,.36.1912 123 2035
Prospect-1932 2019
East Side 1924 2010
WestSide 1908 2010
JC Boyle 80.1958 2036
Iron Gate 18.1962 2036
Cooco-20.1918 118 2036
Cooco-27.1925 100 2025
Fall Creek 1908 2006
1910 105 2015
1.70 1984 2025
2.52 1907 123 2030
1896 106 106 134 2030
1.18 1910 110 2020
1922 2010
Gunlock .
' ,,
1917 103 2020
IVevo 0.50 1920 100 2020
1920 100 2020
1986 2040
1.00 1943 2005
1.11 1913 2005
1.00 1990 2048
NachesDrop.1.40 1915 2006
Naches
.."
6.37 1909 2006
1957 2010
068.
The following are associated with and support PacifiCorp s Hydro facilities, but do not have generation
Keno Regulating Dam 2036
Klamalh Lake Reservoir 2036
Lifton 2048
North Umoaua General 2040
Tbe following is operated by PacifiCorp, but is owned by others
Olmsted 10.2016
Power Supply Assumptions:
Plant life is based on license or future licence expiralion date
lifc is bascd on cnginecring estimate of remaining ciyiVstructurallifc
lifc is based on engineering estimate of remaining electrical/mcchanicallifc
Weighted Aycrage Age of All Plants ~57.4
Reference Year 2002
- 204-
Appx C - Assumptions
HYDROGEN ERA TION RELICENSING IMPACTS ON GENERATION
Assumption: All Hydrogeneration plants are relicensed
Table c.16 Hydrogeneration Relicensing Impacts on Generation
Estimate of Hydro relicensing impacts on Energy Generation
Estimated monthly reduction in Hydro Generation (MWh)
TOTAL 2003 2004 2005 2006 2007 2008 2009 2010 2011
31 Jan 1,430 201 201 10,203 579 28,447 28,447 912 239
28 Feb 292 988 988 404 781 445 445 910 37,012
31 Mar 1,430 201 201 817 193 767 767 232 450
30 Apr 658 550 550 894 271 648 648 113 618
31 May 065 638 638 050 426 759 759 224 926
30 Jun 195 839 839 599 976 899 899 364 785
31 Jul 653 543 543 147 523 20,153 153 618 776
31 Aug 838 828 828 165 541 708 708 173 30,054
30 Sep 779 737 737 11,474 851 680 680 145 30,832
31 Oct 838 828 828 253 630 960 960 31,425 331
30 Noy 384 130 130 431 808 26,897 897 362 036
31 Dec 430 201 201 203 579 249 249 715 042
Estimated monthly reduction in Hydro Generation (MWh)
TOTAL 2003 2004 2005 2006 2007 2008 2009 2010 2011
31 Jan 1.9 13.16.38.38.51.0 54.
28 Feb 1.9 14.17.37.37.51.9 55.
31 Mar 1.9 13.16.4 34.34.47.4 50.
30 Apr 16.19.34.34.47.4 50.
31 May 1.4 12.15.29.2 29.42.44.
30 Jun 1.7 16.19.4 30.4 30.4 43.46.
31 Jul 3.4 3.4 17.20.27.1 27.39.44.
31 Aug 16.4 19.23.23.36.40.4
30 Sep 15.19.2 25.25.39.42.
31 Oct 16.19.29.29.42.46.
30 Nov 1.9 15.19.37.4 37.4 50.54.
31 Dec 1.9 13.7 16.39.3 39.3 52.55.
Source: Hydro licensing department 5/22/02
As more infonnation is known regarding project licensing efforts, these numbers can be updated.
- 205-
Appx C - Assumptions
INDUSTRIAL CUSTOMERS
PacifiCorp assumes for purpose of this IRP that all its industrial customers will remain retail
customers for the life of the plan.
INFLATION
Where price forecasts were not established by external sources, the simulations were performed
with an inflation rate of2., consistent with the PacifiCorp Business Planning assumptions.
MARKET DEPTH AND LIQUIDITY
PaciCorp s market access is capped as follows:
250 MW at COB
250 MW at Mid-Columbia, and
500 MW at Palo Verde
Such limits help constrain the model from impractical dispatch decisions and appear consistent
with historical practice. All market transactions outside of existing long-term contracts are
subject to this limitation. See "Critical Assumptions" in Appendix J for more details.
PLANNING MARGIN
The Planning Margin selected is 15% of the annual peak hour when the loads plus long-term
firm sales minus long-term firm purchases result in the largest requirement on the system. This
target reserve level assumed to provide sufficient future resources to cover forced outages
provide operating reserves regulatory margin, and demand growth uncertainty.
RENEWABLE ASSUMPTIONS
The production tax credit (PTC) is modeled as $18/MWh but only for the first ten years of
production for a wind plant. This breakdown of costs was done over a 20-year life of the plant so
the present value of the PTC is more like $12.36/MWh. The green tag value was also impacted
since we assume it only has value for the first 5 years of the plant life.
- 206-
Appx C - Assumptions
Table c.t7 Calculation of the Federal Renewable Portfolio Standard (RPS) Model
2002 818 59,803 757
2003 663 717 739
2004 797 975 730
2005 990 323 703 173,110
2006 165 692 596 545 998
2007 934 657 596 2.20 925,352 106
2008 786 721 4,493 209 921 138
2009 807 950 4,493 3.40 598 619 182
2010 878 65,213 380 007 967 229
2011 990 520 350 2,432 010 278
2012 56,039 781 350 868,149 327
2013 559 531 350 347 782 382
2014 918 059 350 6.40 834 206 438
2015 287 607 350 340 367 495
2016 673 195 350 868 143 556
2017 184 75,891 350 8.20 5,423 832 619
2018 861 775 350 016,416 687
2019 608 769 350 9.40 641 949 758
2020 031 454 350 10.260 510 829
Estimate of current contracts and owned geothermal, biomass and wind for 2002 = 409 GWHs
PAC RPS includes 75% hydro and 50% other renewables reduction in base calculation
SENATE RPS includes 100% hydro and other renewables reduction in base calculation
SENATE BASE MWHS = (PAC total load - 100% Hydro Gen- 100% Existing Renewables)
SENATE BASE MWa = ((Base MWhs - RPS %) - 100% Existing Renewable)/8760
SENATE BASE CY 2013:382 MWa or Capacity (382X3) = 1146 MW
SPOT MARKET PURCHASES (LIMIT TO 5% OF THE HOURS IN ANY YEAR)
The decision was made to limit expected spot purchases to 5% or less of each year s hours based
on input from the Public Input Process. Original requests were for PacifiCorp to build to cover
100% of its position. PacifiCorp believes building or buying to cover 100% of its position (the
needle peak hour) is excessively conservative; EFOR alone can account for more than 5% for the
duration.
While initially a product of the Public Input Process, the 5% limitation was also observed to
mitigate the risk associated with power price volatility. Power price volatility can be
considerable. It is true that minimization of power price risk favors being long power more often
than being short since prices are unbounded on the upside, but cannot be negative under current
market rules. However a long position or even a 100% coverage position require either more
owned or controlled capacity or a large amount of both shaped purchases or call optionality.
These positions can be structured and can be cost effective, but they are a very fine level of detail
to be shown in an IRP. The 5% limitation is not inconsistent with a prudent spot market exposure
which PacifiCorp is now successfully managing. Recent market experience supports this. Filling
the 5% short with peak hour block purchases will create shoulder hour length that will have a
high probability of being surplus. This relatively small short position (approximately 5%) is
favored on the basis of prudent commodity risk management.
- 207-
Appx C - Assumptions
STUDY PERIOD
The study period covers a 20-year period beginning April!, 2003 and ending March 31 2023
and market simulations were performed for all years.
- 208-
Ap
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Appx C - Assumptions
SYSTEM LOAD FORECAST
See Appendix K for more information on modeling of System Load Forecst.
The loads for east and west control areas under a median scenario are summarized in table C21.
The load forecast reflects loads growing at an average rate of 2.2% per year. The east system
continues to grow faster than the west system, averaging annual growth rates of 2.2% and 2.
respectively over the forecast horizon.
Table c.2l System Load Forecast for PacifiCorp Control Areas
Fiscal Year East West
Peak Total GWH Peak Total GWH
2004 319 805 516 380
2005 417 536 556 560
2006 526 184 529 868
2007 685 002 596 311
2008 798 695 398 099
2009 877 447 3926*23586*
2010 005 315 020 947
2011 112 183 111 339
2012 267 018 095 633
2013 386 038 299 250
2014 483 007 351 760
2015 676 931 448 358
2016 814 921 546 029
2017 979 992 774 665
2018 127 550 887 346
2019 309 886 956 021
2020 477 395 991 581
2021 722 671 160 170
2022 933 198 300 846
2023 160 552 399 364
West: Mid-Columbia and West Main
East: Wyoming, Goshen, Utah, and Idaho
* Load decrease is do to the experation of the Clark Co. PUD contract
(see Purchases West, Table C.
- 216-
Appx C - Assumptions
System Losses
Transmission system losses are netted in the loads as stipulated in FERC form 714 (4.48% real
loss rate, schedule 9).
THERMAL PLANT EMISSION RATES
Table e22 Thermal Plant Emission Rates for PacifiCorp Generation Plants
(prior to emission control technology)
EmIssion Rates Prior to Control Technology for PacifiCorp Units
Ibs/MMBtu (excePt H -Ibs/trillion Btu)
Unit Name Unit No.SO2 NO,HI!CO2
Blundell
Carbon 0.43 205
Carbon 0.43 205
Cholla 205
Colstrip 0.4 205
Colstrip 0.41 205
Craig 205
Craig 0.37 204
Dave Johnston 0.43 205
Dave Johnston 0.43 4.31 205
Dave Johnston 205
Dave Johnston 0.43 205
Gadsby 0006 0.11 119
Gadsby 0006 119
Gadsby 0006 119
Hayden 0.43 205
Hayden 0.36 205
Hermiston 119
Hermiston 119
Hunter 0.42 205
Hunter 0.42 205
Hunter 0.4 205
Huntington 0.42 205
Huntington 1.01 0.42 205
Jim Bridger 0.4 205
Jim Bridger 0.39 205
Jim Bridger 0.39 205
Jim Bridger 0.4 2.45 205
Little Mountain 0.4 119
Naughton 1.12 205
Naughton 1.12 0.49 1.73 204
Naughton 0.35 204
Wyodak 0.33 205
- 217-
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%
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v
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v
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n
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2
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2
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v
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n
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r
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r
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59
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36
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3
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30
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u
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4
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0
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h
t
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71
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56
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d
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k
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8
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69
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3
7
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60
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60
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3
7
%
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s
t
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l
l
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l
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00
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80
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l
l
e
y
2
42
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00
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80
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s
t
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l
l
e
v
3
42
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%
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%
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l
l
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42
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l
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00
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v
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r
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l
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e
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1.
1
3
%
10
%
62
%
62
%
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3
3
%
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%
75
%
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2
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t
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m
e
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Appx C - Assumptions
THERMAL PLANT OPERATING LIFE
Table c.24 Thermal Plant Retirement Schedule
Blundell 2021
Carbon 2010
Cholla 2025
Colstrip 2029
Craig 2024
Gadsby 2007
Gadsby Peakers 2027
Hayden 2024
Hermiston 2031
10.Hunter 2025
11.Huntington 2019
12.J Bridger 2020
13.James River 2016
14.Johnston 2020
15.Little Mountain 2006
16.Naughton 2022
17.Wyodak 2022
Electricity Supply Assumptions:
1. Plant design life is equal to 40 years
2. Recommended life is equal to the stipulated dates in the year 2000 depreciation study except
for Naughton.
3. Naughton s recommended life has been extended to 54 years.4. Blundell life assumed to be equal to the steam purchase contract period of 30 year (from
1991).
5. Gadsby 4 , & 6 lives assumed to be equal to 25 years (simple cycle gas turbines).
6. The 2007 date for the Gadsby retirement is the stipulated depreciation date and reflects a
weighted average age of these units at 54 years and is consistent with the longest life
assumptions PacifiCorp are currently making for thermal assets.
7. Hermiston life assumed to be equal to the contract period of 35 years.
8. James River life assumed to be equal to the contract period of20 years
9. Little Mountain was extended to 2006 to match its existing contract life.
10. Life estimates do not include the potential influence of emissions limitations. If there is a
Carbon Tax or any other environmental constraint beyond what we think will come out of
Clean Skies, even MACT, will cause some of the older plants to become uneconomical and
shorten their depreciation lives.
- 222-
Appx C - Assumptions
THERMAL PLANT VARIABLE O&M COSTS
Variable O&M (YOM) costs for plants fully owned by PacifiCorp were calculated by escalating
base 1995 variable O&M costs at 2.5%. The Table C.25 lists the 1995 YOM costs in $/MWh.
Table C.25 Thermal Plant Variable O&M Costs
Yariable O&M PacifiCorp Plants
1995 , $/MWh
Hunter 1 0.40
Hunter 2 0.40
Hunter 3 0.40
Huntington 1 0.26
Huntington 2 0.26
Dave Johnston 1
Dave Johnston 2 0.19
Dave Johnston 3
Dave Johnston 4
Wyodak
Jim Bridger 1 0.46
Jim Bridger 2 0.46
Jim Bridger 3 0.46
Jim Bridger 4 0.46
Naughton 1
Naughton 2 0.21
Naughton 3 0.21
Carbon 0.23
Gadsby
- 223-
Appx C - Assumptions
TRANSMISSION
Transmission System
Capacity allocations for PacifiCorp s power supply and trading activities are based on long term
firm OASIS reservations. The IRP topology includes 22 bubbles designed to capture
transmission congestion and allow for capturing real values from the diversified markets. The
transfer capabilities are PacifiCorp Merchant functions firm rights on the lines, and do not reflect
the availability or physical capabilities of the lines. Loop flow impacts are considered. Figure
c.2 illustrates the Transmission Topology modeled in this IRP.
Figure c.2 IRP Transmission Topology
Load
Wi Generation
+---+
O"",ed Transmission capacity
Mid ~I~ T
++
L T firm Transmission capa:ily
Liquid Markel
Geographic Area
RTO / Con2estion Char2es
These are not currently modeled. A detailed analysis of the impacts of the RTO and congestion
needs to be undertaken in a future IRP when more detail of the impacts are known.
- 224-
Appx C - Assumptions
WHOLESALE ELECTRICITY MARKET PRICES FORECAST
Prices are modeled from 2002 through 2031 on a fiscal year basis for Mid Columbia, COB, and
Palo Verde.
The curves is a blend derived from near-term forward prices from the market and long-term
fundamental price scenarios simulated in the MIDAS model. Market prices as of August
2002 were used for blending. The MIDAS cases were run on August 2002.
The deterministic analysis uses the medium - Cyclical Growth case, 08-01-02 market prices
blended with the MIDAS Cyclical Growth (CGI6).
Similarly, the Natural Gas market prices used are for a medium case.
The blending of forward market prices and fundamental model prices uses the following
methodology:
Forward market prices are solely used through May 2005.
June through November 2005 is weighted 75% forward market 25% MIDAS.
December 2005 through May 2006 is a 50-50 weight between market and MIDAS.
June through November 2006 is weighted 25% market 75% MIDAS.
Beginning December 2006 only MIDAS results are used.
- 225-
Appx C - Assumptions
Table C.26 Wholesale Market Prices
Flat Prices (7X24)Medium Price Forecast
Fiscal Year Period COB MdC
Apr-Mar-32.30.30.
Apr-Mar-32.32.31.
Apr-Mar-35.32.33.
Apr-Mar-39.33.38.
Apr-Mar-44.37.44.
Apr-Mar-49.43.49.
Apr-Mar-42.38.42.
Apr-Mar-44.41.44.
Apr-Mar-50.47.50.
Apr-Mar-54.50.53.
Apr-Mar-48.46.48.
Apr-Mar-53.51.53.
Apr-Mar-57.55.57.
Apr-Mar-58.56.42 57.
Apr-Mar-58.58.57.
Apr-Mar-60.42 60.59.
Apr-Mar-60.61.48 60.
Apr-Mar-60.62.60.
Apr-Mar-62.40 63.61.
Apr-Mar-63.64.63.
Apr-Mar-65.66.64.
Apr-Mar-67.68.66.46
Apr-Mar-68.69.68.
Apr-Mar-70.71.69.
Apr-Mar-72.73.71.
Apr-Mar-74.75.73.
Apr-Mar-76.76.75.
Apr-Mar-77.78.77.
Apr-Mar-79.80.79.
- 226-
Appx C - Assumptions
Table C.27 Spot Market Prices
Medium Price Forecast Medium Price Forecast
COB MdC COB MdC
HLH LLHJan-40.33.38.32.22.28.Feb-36.33.35.31.22.28.
Mar-35.32.33.27.22.26.
Apr-26.34.24.20.22.17.
May-25.34.25.18.20.16.Jun-26.35.25.25 18.22.17.Jul-40.39.33.25.23.25.
Aug-43.48.37.26.25.26.
Sep-43.47 45.37.27.25 24.26.Oct-41.40.39.29.20.28.
Nov-37.32.36.29.20.28.Dec-39.45 32.39.29.20.28.Jan-39.35.38.30.22.28.
Feb-38.34.37.30.22.28.
Mar-36.33.35.30.22.23.23
Apr-27.34.27.19.22.18.
May-25.35.25.19.22.18.Jun-26.40.24.19.22.18.
Jul-45.40 49.40.24 28.25.27.Aug-45.40 49.40.28.25.27.Sep-45.40 49.40.28.25.27.
Oct-38.37.37.29.21.30.Nov-38.37.37.29.21.30.
Dec-38.37.37.29.21.30.Jan-37.33.37.33.23.29.Feb-37.33.37.33.23.29.
Mar-37.33.37.33.23.21.
Apr-27.36.26.14.22.13.
May-27.36.26.14.22.13.Jun-29.35.28.18.21.17.
Jul-51.49.46.28.27.28.Aug-52.50.47.28.27.28.Sep-51.41 49.46.28.27.28.
Oct-41.38.48 40.29.21.29.
Nov-42.41 37.39.29.47 20.29.
Dec-41.36.41.32.22.32.
Wholesale Market Prices General Assumptions
All three trading hubs have the following common assumptions:
Inflation: 2.
Price Caps: After September 30, 2002 , the price caps are set to $250 through 2020
Reserve Margin: Reserve Margin was assumed to be 16% to account for forced outages and
Operating Reserve requirements.
Thermal
Forced outage rates for PacifiCorp s coal units (fiscal 2003) from the ten year plan were
included, a 10% overall weighted average. Therefore, 10% forced outage rate was
assumed for all other coal units in the WECc.
No coal plant retirements were included other than Carbon. There are 9 000 MW of new
coal plants that are in the planning process, and we assumed that any coal plants that
retire will be replaced by new ones over time. (Units that do retire: Gadsby units -
- 227.
Appx C - Assumptions
December 31 , 2007, Carbon units - December 31 , 2010, James River - December 31
2016, Little Mountain - December 31 , 2006).
Heat rates are Generation Engineering s latest.
- New resource costs were adjusted to be compatible with the latest estimates from
Generation Engineering and IRP.
Environmental Costs: refer to emission costs section presented earlier in this appendix
Emission Rates (see Table C.28)
- PacifiCorp s units are represented with assumptions regarding an installation schedule for
SO2 and NOx control equipment ranging from years 2005 to 2012, consistent with
current PacifiCorp expectations for WRAP(Western Region Air Program). As this
equipment is installed emission rates decrease. Individual installation dates and emission
rate changes are included for Jim Bridger, Hunter, Huntington, Wyodak, Naughton and
Cholla 4.
The emission rates for the balance of existing units in the WECC were decreased, similar
to PacifiCorp s reductions, to comply with multi-pollutant legislation.
Table C.28 CG16 Emission Rates
SO2 NOx
Coal units 70%30%27%
Gas units Very small 30%*n/c
Oil units n/c n/c n/c
* Units operating in SP 15 are currently in the process of
installing SCRs or other controls, so a 90% reduction in
NOx was assumed.
RTO Assumptions: We assumed the WECC would be split into three RTOs - RTO West
CAISO and West Connect. An average wheeling rate of $2 .l0/hop was included to represent
an average of the proposed RTO external interface access fees. We assumed $3.20 for the
AC and DC Intertie to account for heavy RTO West exports to California. All off peak
wheeling costs were set to half of the on peak wheeling charges.
Hydrogeneration: Hydrogeneration assumptions were as follows:
2002 - approximately 88% of a median Hydrogeneration condition
January through May, 2003 - 90% of a median Hydrogeneration condition
2003 (balance) -2020 - median Hydrogeneration conditions were assumed
Wholesale Market Prices Case-Specific Assumptions
Medium Prices CG16 Cyclic Growth
The Cyclic Growth scenario depicts the gas and electric industries exhibiting cyclic supply
additions that, on average, maintain balance with demand. Gas prices settle at approximately
$3.50 by 2004. Increasing demand and production costs increase gas prices to the $4.70 range
by 2015, then prices escalate 2.5% each year until 2020. Aggressive WECC generation
additions during the 2001-03 time frame restore balance and adequate reserves to the electric
arkets , and then keep pace with modest demand growth, averaging just over 2% through 2020.
- 228-
Appx C - Assumptions
Demand growth: 2.1 %/year
. New resource costs: escalating at 2.0 %/year
Gas prices: PIRA base forecasts for both short and long term
Table C.29provides a summary of the MIDAS Price Model Assumptions for Official Curves
August 6, 2002
Table C.29 MIDAS Price Model Assumptions
Key Assumptions in Forecasts MEDIUM - CG16B BASE
Blended with 08-01-02 Forward Market Prices
WECC Demand Growth 2003 to 2020:
For PacifiCorp loads in After 2002 there was a permanent 1 % demand
MIDAS , growth rates from IRP destruction (due to conservation efforts) applied to
were included as shown in the the base forecast.
table below. The growth rates
shown in this table are 2004-2010:
exclusive ofPacifiCorp s loads.1 % Demand growth
2010-2020:
0% Demand growth
Gas Prices PIRA forecasts for both short and long term
New Resource Costs: - Capital Capital Costs
costs, YOM, FOM 5% decrease from current costs in 2004
(See chart below)Escalating at 2.0% nominal/year
Annual Build Limits for new Hardwired New Units 2000 to 2004: 32 395 MW
generation picked by the model
Added by Model 2005 to 2020: 41 010 MW
- 229-
Appx C - Assumptions
Table c.30 New Resource Option Assumptions for CG16 Base Case
New Resource Option SCCT I SCCT 2 CCTI CCT2
Assumptions for LM6000 7EA Peaker 7FA IxI 7FA 2xI Utah Coal
CGI6B Base Case CCCT CCCT
Size 90MW 115MW 235 MW 490 MW 575 MW
Capital Costs $/kW 717 458 786 600 389
Fixed 0 & M $/kW 11.29 27.39
per year
VariabJe 0 & M 3.37 1.67 1.53
$/MWH
Heat Rate Btu/kWh 223 176 235 074 483
*2002 DolJars at ISO *Capital costs and fixed *Capital canying
conditions, includes O&M were adjusted for charge 15%
AFUDC elevation in each load
center
Table c.31 Nominal Capital Escalation
Nominal Capital Medium Growth
Escalation CG 16 Base
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
- 230-
Appx C - Assumptions
Table c.32 Demand Growth Assumptions
Demand Growth PacifiCorp PacifiCorp Utah PacifiCorp Wyoming
Assumptions COB West Idaho
CG16B Base 12%12%09%1.81%50%
- 231 -
Appx D - Portfolio Summary Tables
APPENDIX D - PORTFOLIO SUMMARY TABLES
Portfolio Capacity Portfolio Capital Cost
Portfolio Table D.Table D.
Page Page
Diversified Portfolio I 234 260
Diversified Portfolio II 235 261
Diversified Portfolio III 236 262
Diversified Portfolio IV 237 263
Alternative Technology II 238 264
Coal/Gas III 239 265
PacifiCorp Build - I 240 265
Gas/Coal I 241 266
Gas/Coal II 242 266
Gas/Coal III 243 267
PacifiCorp Build II 244 267
Peakers 245 268
Renewable 246 269
Alternative Technology I 247 270
All Gas II 248 271
Wyoming Coal 249 271
All Gas I 250 272
Coal/Gas II 251 272
Coal/Gas I 252 273
Transmission - I OOOMW DC 253 273
Transmission - 2000MW DC 254 274
Transmission - Asset Build Market 255 274
Coal/Gas III - 10%256 275
Gas/Coal I - 10%257 275
PacifiCorp Build II-I 0%258 276
All Gas II - 10%259 276
Note: DSM programs have no capital costs , hence were omitted from Table D-
See Tables in Appendix E for DSM Real Levelized costs.
- 233-
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Appx E Analysis Results
APPENDIX E - ANALYSIS RESULTS
INDEX - SCORECARDS
Table
E.IO
E.ll
E.12
Description
Scorecard Results
Top Four
10% Planning Margin Results
CO2 $O/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013
CO2 $2/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013
CO2 $25/Ton: Allowance Used Is CY 1990 Actual Beginning In FY 2008
CO2 $40/Ton: Allowance Used Is CY 1990 Actual Beginning In FY 2008
Stress: Additional Wind Capacity Removed
Stress: $0 CO2 Tax, No Wind Capacity
Stress: Wind At 15% Capacity
Stress: Wind Install One Year Early
Stress: Peakers to CCCTs and IGCC in 2012
Stress: Timing Variation of Large East Resources
Stress: Hydro Loss of Capacity
Stress: SB1149 Loss Of Load
Stress: Decrement DSM - Diversified I
Real Levelized Versus Nominal PV Versus Constant
- 277-
Page
278
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
298
Table E.1 Scorecard Results
Appx E Analysis Results
VALUE MEASURE
Comparative PVRR Ranking
Alternative
Diversified Diversified Technology
Diversified I Diversified II III IV II Coal/Gas III
Present Value Rev.Req (20 Year $000)12,313 159 337 893 360,185 395,185 558,743 650 880
Percent Greater Than Lowest PVRR 000%201 382%666%994%370%
...................................................................................................................................................................................................................................................................... ..........................................................................................
Incremental Net Variable Power Cost
....
7?~,
...
!:J..,~4.1,.
~..~........
!:J..,!:J..!:J..?,~9!:J.....
...
1QA?~A1T...
...
1Q,~Q9,.:3~..
...
1Q,11~n~...
...............................................................................................................................................
Incremental Real Levelized Fixed Cost
....
2..,:3~~.97....
.....?,.
:399.:3.?4...
.....?,..
T7..1..1.....
.....
7~_
?~?......
Q1?'x?1...
....
:3.:3!!:J..2..1...
....................................................................................................................................................
DSM Real Levelized 190 225 190 225 190 225 190 225 245 558 190 225
ICapital Cost (2002$-millions)643 643 831 644 077 190
Emissions (2004-2023 PVRR $000)750 826 237)(122 127)(180 773)112 087~O (!b.Q~~!:1!!.!2!1~"?"QQ.!:J..= 20~
____--...--
847
--
851 8E-Q_-~41 811 ?l!!3,j.Q..1-
--.
866 :3~
CO2 (% of caD)105%105%104%100%99%107%
........ .......
?..Q.2...(!~C?LJ!;.(;Ir1cj!gr1~?Q9~=?Q?~).......................652 655 654 645 639 661
....................................................................................................................................................---_
.....?...O..?J"( ~,g!...c,:9.et..
-. - -- -.. -.. - -. --- -
63%63%63%62%62%64%
NOx (ousand tsms 2009-2023)
..._..__..._.......------_.._~...
046 049 047
_"",,_
031 058
~7tf;~ u ~ ~~1~nS2 0 09=02 3)
-"'
_n..
" --
1Q~102%102%101%100%103%
---...-
0038 0036 0036 0024 0024 0039
Hg (% of caD)69%66%66%44%44%71%
Market Purchases (10 Year)
- - _!:~~ _
S~~!...c"&_Qflc:!9QL__--__--------.._--.._-- ----..!U"&-
PAC East Average MW
--..--
P~c::Y\'~!;tmgflc:!~cj)
............... .........
JJ,,(~PAC West Average MW
1% 0.1% 0.
.....-.........---- -..-.----- .----...--.
1% 1.1% 1.80 83
1% 0.
-.-...------.
1% 1.81
Market Sales
PAC East % of owned Generation)
--.---..--
PAC
~~~.
t...~~~~..g~f'0Y\'..__.....
..__..",-_...._-
323 lj~-316 300 308
_____
19?...
---...-...--....-..."'-........-.----...-..-.-.........----...-....---.--..................-........---............-...-......-.-
PAC West (% of 0~r1~2--Q.~lJeratip~L-11.10.10.10.10.10.
PAC West Average MW 304 304 296 304 303 ~75
Unit Capacity Factors (2014)
.....
S)(i!;!ill.
g..
C::().i3.
...
S(;l~!......
...
S)(i~!il.lgQt~~~~(;I~!
.............. ...
~)(I ll.':~(;I~(OJE..
....
IRP CCCT East
IRP Coal East
IRP Peaker East
.....................................................................................
~)(i ir1.
g..
c:::c:::c:::TY\'(OJ~t
........
S)(.
~!.
ir1gc:::g(;lIY\'~!;t
...........
)(i!;!ir1!LQt~.
~..
Y\'~~t
.....
IRP CCCT West
.......................................................................
IRP Peaker West
............
84.
92.
47:8%'"
91.
34.
86.
90:9o/~'"
77.4%
East West Transfers (MWHs)
......
?9Q~...
!;!=.
Y\'~.
~!...
T~(;Ir1.!;f~r..... ...........7!:J..!:J..,.!:J..??..
?Q1 ~ ~ (;I~t=Y\'~!;! T~i3r1~ f(OJE J, Q T!,:3~:3Percent I ncrease/Decrease over 2004 135%
............................................................................................................................................ ..........................................---
2..Q..Q~_Y\'~~~=E:_i3!;!..Iri3!l~f~':...____-----___...1-,.!:J..9..1,!:J..~~...
......
2.. 9..14Y\'. (OJ!;!= ~(;I~!Iri3 r1 !;f~r..
........... ..... ............... ....... .
~Q:3,1??..Percent Increase/Decrease over 2004 69%
84.
92.
3:0%'"
47.
91.
................................
31.
86.
90.
77.
11.
84.
92.
47.
91.
35.2%
86.
90.
78.
10.
86.
92.2%
4:2%
63.
37.
86.
90.
81.
10.
...........
~9.
~........
T~!:J...
~?~..... ....
?Q1A:3?..
...
J....1..?4,?:3!:J......Q~~A~~....?~M~..1...140% 135% 96%
............................................ ......................................... ............................................_....
~!:J.._
~ ,~- ~ !_...
......1_!:J..Q~-,
~ ?__
1..
, .
~!:J..!:J..'!:J..~!..
...
:3:3?,!:J..?~... ......1.
?~.~..... ......!..?~.~..~~..
70% 68% 84%
- 278-
85.
92.
53.
86.4%
92.
62.
.................................................
6.4%
51.
87.
90.
84.
12.
6.4%
36.
86.
90.
80.
...
.?!:J..?,
?~~.......~~?,??~.....
112%
............................................._-
..1!.!:J..~_7!:J..z..
......
1..~:37,..?!:J......
75%
...
T~!:J...~7?..
......
~!:J..?,..
?~....
124%
............................................._.
:!.,Q~!, 93L
:3?~,J~Q...
73%
Appx E Analysis Results
Table E.! Scorecard Results (continued)
VALUE MEASURE
Comparative PVRR Ranking
PacifiCorp
Build I Gas/Coal I Gas/Coalll Gas/Coalill
PacifiCorp
Build II Peakers
Present Value Rev.Req t (20 Year $000)678,966 706 361 714 668 12,742,655 12,747,670 759 278
Percent Greater Than Lowest PVRR .mm.
?,.
?~T,,(?....819%886%112%153%247%
filer em e n i aiN elvariabie Power Co S i m
....m......m..m........._----______m_m
-----------------------------------------------
mmmmmmmmmmmmmm_m--------------------------------------_----_m_-------------------------------.-.-..______m_-
Jg-
,_.
~T~_...Jg,
~~_
~T_
~____-___
1g,
~-----____
9'_
~'_
~?m
?~~_
T~~____-
~~.?_-~--_..----
incremeillal--ReaiLeveiizedFixed--Cosi-- -306 368 177 165 182 347 218,065 295 651 158
DSM Real Levelized 190,225 190 225 190 225 190 225 190 225 190,225
'Capital Cost (2002$-millions)831 644 644 644 831 612
Emissions (2004-2023 PVRR $000)116,512 362 804 508 118 056 69,740
CO2 (thousand tons 2009-2023)869 627 858 529 858 563 858 564 870 006 855 803
gQ?(,,(O()fg~pL.m.m 1Q~"(o 106%106%106%
---
~.9.~-_
"&_-
~g~"(o
-_m_~?J~()usand tons 2009-202l.)_m
----"
662 662 662 662 663 664
..------------------__
m..-
r.--- SO'?
("&"
C!f~__.__--_._-64%64%64%64%64%.6j~~--.---______m__.___- -
--".--..----.----..---.-.----.-----.----.------..--.-----
NQ)(__(t~()l!!'~n~__t()_
~__
?q9~:?Q_
?~)-----
.9.?~m .9.?~m
g?~
9!S~m 9?~m Q~g
NQ.)( ("(0 qfg~P)mmmmmmmm mmm 103%103%1.9.~,,!o 103%103%103%
---------------------------------------------------------______
m______
-----------------.---------
------------------------------------______m_-----------------------------------------______m_-
-----------------------------------------------_
J::!!L(tho.l!..2.!ons - 2009- ?02~.L____m 0036 0036 0036 0036 0036 0036
--------
6E3"%
----------------------------------------------------------.---
HQ (% of cap)66%66%66%66%66%
Market Purchases (10 Year)
PAC East % of load
___
PA9~~~t A\I~E~9~_~lf:J..m
F'Aglf:J..~!'t (,,!o c:J_f__
()_
;:J_)-______m.
PAC West AveraQe MW 100 100 100
1.4%
101
Market Sales
..!'ACJ ',J~.t...(J~ of ow~Generatio!lL
----
6 o
-------------.--.--..----.-.--------....--.
.?A Average MW 295 296 294 299 298 275
---------------------._----------------------------------
PAC West (% of owned Generation)
PAC West Average MW 276 266 267 266 273 264
Unit Capacity Factors (2014)
!=)(I
g__
C:();:JI
___!=_
_m_-86.86.86.86.86.86.
---__.!=)(_!,!_~g__
Q!~~~!=~!'!mmm 92.92.92.92.92.92.
!=)(.i~tingF'~~~~r!=~!'!m 4.4%4.4%
IRP CCCT East 61.62.60.62.62.65.
----------------...---------
-----______m_m._.._
..-.-.---.--..
IRP Coal East 91.91.91.91.91.91.
------.--.....-..-
.....-----------------------______m_m
IRP Peaker East 6.4%
--------------------------------------.-.------
-----------------------______m_
-____
~)(i !l_
g__
ggQIf:J..~!'!._
._.
50.52.52.52.52.4%58.2%
!=.)(i!,!i~ggg~IIf:J..~~t 87.87.87.87.87.87.2%
___!=_
)(i i!lgQt~_If:J.._
~~_
90.90.90.90.90.90.
IRP CCCT West 85.85.86.85.85.4%86.
-------.----------------------------------------------------------------------------------------.----------------------------------------------------------------------------------------------.----
IRP PeakerWest 15.12.12.12.15.12.
East West Transfers (MWHs)
2004 East-West Transfer
2014 East-West Transfer- -----______m_______m______----------
-----------------------------
Percent Increase/Decrease over 2004
- 279-
Appx E - Analysis Results
Table E.! Scorecard Results (continued)
VALUE MEASURE
PVRR
PacifiCorp
Build I Gas/Coal I Gas/Coalll Gas/Coallll
PacifiCorp
Build II Peakers
omlJaratlve
Present Value Rev. Req t /20 Year $000\678,966 706 361 12,714 668 742 655 747 670 759 278
Percent Greater Than Lowest PVRR 597%819%886%112%153%247%
Incremental Net Variable Power Cost
._..
J..
~,-
~Z~:!Pd?J!!!J.?J_-!Q.~~gQ~~-!Qd~'!,
()~.......__
?9'!...,410,4~J
....-.-----..---.-....-.......-......----....---.--....-..---....----..--........---..........-......-
Incremental Real Levelized Fixed Cost
__._
~2Q(),
?()"'?_---_...
!J?,..
!..
()2..-
~!_!?_~'!?._.._....?!.~~,-~~_.--_...._
?95,E~J-
?!_
12.?-,-~Q~
......-.....-.-.--.----........-....-........--.....-.....-....-......-.................---.-......-............
DSM Real Levelized 190,225 190 225 190 225 190 225 190 225 190 225
ICapital Cost (2002$-millions 831 I 644 644 644 831 612 I
Emissions /2004-2023 PVRR $000)116 512 75,362 804 508 118 056 740
CO2 /thousand tons 2009-2023)869 627 858,529 858 563 858,564 870,006 855,803
CO2 (% of cap)108%106%106%106%108%106%
802 (thousand tons 2009-2023)662 662 662 662 663 664
---~~
-~~o~s;:tJtons2009~02 3-
)"'- ----
64%64%64%64%64%64%
-----.....--...................-........--.-.-..............-..................--......-..-..--...-...--..-....-...............-......-...----.----..-------...------.---........
059 058 058 058 059 060
----~~ii~ ~ ~~ ~ons- 2669-=2023\"...
103%103%103%
..._
.1Q?~
---_.._--
~Q.~r.~..-103%
......---.. .......--..--..-.-.-.-..-.----.-.-.-.-..-.---.-...-.-.......---.-...-.-...
0036 0036 0036 0036 0036 0036
Ha (% of cap)66%66%66%66%66%66%
Market Purchases /10 Year)
PAC East (% of load)
_...
_~~g~!~/(~~9~a~f-----.'"
.....--..-......-.-----_....------........-.-....-..---._..__.._-----
f3.o/~-.
...--.-.-....-..-..--------....--..--------.---..-.-.
PAC West AveraQe MW 100 100 100 101
Market Sales
PAC East (% of owned Generation)
PAC East AveraQe MW 295 296 294 299 298 275
......_..._-_
.F:.~gYY~~!J~. (?f..(?~1l. ~.9S'-~.~~E5I.\!(?!:I L -
..---........---.----..--..---..-...---..... . --.-....-.........--..--.---..........-.-------.--...-..-.
PAC West AveraQe MW 276 266 267 266 273 264
Unit Capacitv Factors (2014)
Existina Coal East 86.86.86.86.86.86.
Existina Other East 92.92.92.92.92.92.
Existina Peaker East 4.4%
IRP CCCT East 61.62.60.62.62.65.
-.-.-.....--...-....-----.-.-..-..---.---........-.........------...-...-.----... ...-_.-----
ifi:O%-
m..
................-..-....-.--....-..--..-..-......
:00/0
-.-..........--...--..--.--....-------------...--.
IRP Coal East 91.91.91.91.
IRP Peaker East
Existina CCCT West 50.52.52.52.52.4%58.
ExistinQ Coal West 87.87.87.87.87.87.
.____
~~i r1g...Q\.~rYY~~L...90.90.90.90.90.90.
......---.....-.----.-....-..--..-.................-..............-......-.-............-..-......--....-....-..-........-.......------.--....-...-........-....-..--..-..........--.---.--.-----.-..-...-...--....-..-..-
IRP CCCT West 85.85.86.85.85.4%86.
IRP PeakerWest 15.12.12.12.15.12.
East West Transfers (MWHs)
2004 East-West Transfer 801,435 799 978 799,978 799,978 801,435 799,978
2014 East-West Transfer 997 995 070,178 025 049 070,178 037 075 912 676
Percent Increase/Decrease over 2004 125%134%128%134%129%114%
.......-..----.-.............-....----------...--....---....-...............-.-..-......---.----.--...-----......-----------.-..............-.--..-..-"'-----.----.-..-.---....-.-..---.-........-----.--.-...-.---..--..-......-
2004 West-East Transfer 899 981 901 937 901 937 901 937 899,981 901 937
2014 West-East Transfer 1,424 921 328 237 379,916 328,237 370,958 566,113
Percent IncreaselDecrease over 2004 75%70%73%70%72%82%
- 279 ...
Appx E A nalysis Results
Table E.1 Scorecard Results (continued)
VALUE MEASURE
PVRR
Alternative
Renewable Technology All Gas II13 14 Wyoming
Coal All Gas I Coal/Gas II
omparatlVe an
Present Value Rev. Req t (20 Year $000)767 268 770 441 865 485 868 170 889 074 908 186
Percent Greater Than Lowest PVRR 688%945%106%128%297%4.452%
Incremental Net Variable Power Cost 10,576,052 758,428 10,824 942 10,484 941 10,841,858 10,289,150
Incremental Real Levelized Fixed Cost 000,991 766,455 850,318 193,003 856,991 2,428,811
DSM Real Levelized 190 225 245 558 190,225 190 225 190,225 190 225
ICapital Cost (2002$-millions)237 590 176 703 129 591
Emissions (2004-2023 PVRR $000)(138,826)(215,927)(51 246)69,622 (53 274)96,219
CO2 (thousand tons 2009-2023)807 598 790,291 826,857 856,839 826,251 859,189
CO2 (% of cap)100%98%102%106%102%106%
----
~g~(1-~9-l!~ ~.Q~U(?-Q~?QQ~:?Q?_~L__...644 639 650 662 650 666
---------------------------------.........----------------------------...------------------------------------------------------------------------
S02 (% of cap)62%61%63%64%63%64%
----_
~.Q~J!bgl,J~_9-!"!s!!(?Q ~- ~ 0 0 9:?91~ t_-
...---------------------------_~.?_---------------...-...
029
------------_
qA_
~__-
059 043 063
------------------------------------------------------------------------------...----------------...-
NOx (% of cap)101%100%101%103%101%103%
HQ (thousand tons 2009-2023)0024 0024 0030 0024 0030 0039
HQ (% of cap)44%44%55%44%55%71%
Market Purchases (10 Year)
PAC East (% of load)
PAC East Average MW
PAC West (% of load)1.4%1.4%
PAC West Average MW 109 100 101 100 103
Market Sales
----___
.J=)Ag_~a~
!...(
% of
~~_!"!~-~~-
~~E~J~_L_____-
----------------------------------------------------------------------------------------------------------------------
PAC East AveraQe MW 310 309 289 291 294 274
PAC West (% of owned Generation)10.
PAC West AveraQe MW 300 258 268 266 267 264
Unit Capacity Factors (2014)
ExistinQ Coal East 86.85.87.86.87.87.
----____
~~i~!i!!g_.9 t h~!J::9-~!_.........92.92.92.92.92.92.
...----------------------------------------------
- m__-___-----------------______m__-
---------------------------------------------------
mm______--------------------
----------------------------------------------------
Existing Peaker East
IRP CCCT East 62.55.74.66.74.74.
IRP Coal East 91.91.
IRP Peaker East 7.4%9.4%
----_
~JistLrl.g____
gg-(;;
J W~-36.43.4%56.53.57.64.
---------------------------------------------------------------------
_m_-___------------------------
-------
-----------m_m-_-__-----------_m____-----------
-----------------------------------------------------------------
ExistinQ Coal West 87.86.87.87.87.87.
ExistinQ Other West 90.90.90.90.90.90.
IRP CCCTWest 82.81.86.84.86.86.
IRP PeakerWest 11.12.12.12.4%13.
East West Transfers (MWHs)
2004 East-West Transfer --...J_
~~,
1?~798,733
------_
!3..9J'
!?~_
~_m-801 634 800 207
____
!3._9J..c~~~__--
-------------------...--------------------------------------------------------------------------------
______m_m_
___--------------------------------------------
2014 East-West Transfer 790,797 053,040 856,645 180 117 857 967 767 745
Percent IncreaselDecrease over 2004 99%132%107%147%107%96%
2004 West-East Transfer 902 380 915,797 901 727 901 727 904,207 901,727
2014 West-East Transfer 554 709
---______
1__
.??~,_?~!?-
1 ,482 094 1 ,430,452
____
i~_
~~-
843 918------------------------------------------------------_____m_-
-------------------------------------------------------- ------------------...---------------------------------------
Percent IncreaselDecrease over 2004 82%67%78%75%78%97%
- 280 -
Appx E Analysis Results
Table E.! Scorecard Results (continued)
VALUE MEASURE Coal/Gas I
Transmission
1000MW DC
Transmission
2000MW DC
Transmission
Asset Build
Market
ComDarative PVRR RankinG
Present Value Rev. Req t (20 Year $000)909 633 017,821 217 807 221 223
Percent Greater Than Lowest PVRR 4.464%339%957%985%
Incremental Net Variable Power Cost
..._--______
1g,_
~~?,
~:1_
~...----_..._---~-,_~?,
1.!~-
..._
,~n-
---_____
J1_Q!!_
~'?_~~...------------------------------------------------------------------------------------------------------...---------------
Incremental Real Levelized Fixed Cost 2,430,889 895,418 095 585 947 163
DSM Real Levelized 190 225 190 225 190,225 190,225
ICapital Cost (2002$-millions 636 I 650 025 2,408 I
Emissions 12004-2023 PVRR $000)488 261 848 261 923 182 685)
--8~~_~~9 t:a 9.~~--~ 00 9 - 2 0 2 31____---_-------
----------~~,
~:1...-897 011 897 019
-_____
~1~~1~_-
-------------------------------------------
106%111%111%101%
-----____
.o2 J!ho~~?!\9 ton~?QQ_~~~Q?~L...666 685 685
..._----------~~~
S.o2 (% of cap)
...-------------------------------...------------------------------------...-------------------------------------------------------
64%66%66%63%
N.ox (thousand tons 2009-2023)063 086 086 044
N.ox (% of cap)103%106%106%101%
-----~-
~-~~ a ~~.!9-
~---
Q 0 9- ~~L______---0039 0039 0039
-----------
Q,Q.Q~
---------------------------------------------------------------------------------------------------------
71%71%71%62%
Market Purchases (10 Year)
PAC East (% of load)
PAC East AveraQe MW
PAC West (% of load)1.4%1.4%
PAC West AveraQe MW 103 104
Market Sales
PAC East (% of owned Generation)
PAC East AveraQe MW 273 275 275 273
PAC West (% of owned Generation)10.10.9.4%
PAC West Averaqe MW 265 299 299 259
Unit Capacity Factors (2014)
---___
xisti
,:!g---~~~?_
!;L______-------------------_..._--87.86.86.88.
---...----------------------------------------------------
92-0;;
------------------------------------------------...--- ---------------------...-----
Existinq .other East 92.92.92.
Existinq Peaker East
IRP CCCT East 74.47.
IRP Coal East 91.91.91.
IRP Peaker East
--------------------------
4.4%4.4%
------------
ExisiinQC-Cc-f"i.Nest
----------------------------------------------------------------------...-----------------------------------------------------------------------------...-------------
64.4%57.57.58.
ExistinQ Coal West 87.86.86.87.
ExistinQ .other West 90.90.90.90.
IRP CCCT West 86.77.4%77.86.
IRP PeakerWest 13.13.13.14.
East West Transfers (MWHs)
2004 East-West Transfer 801 634 801 026 801 026 800 207
2014 East-West Transfer 767 745 143,509 143 602 617,681
Percent IncreaselDecrease over 2004 96%268%268%77%
2004 West-East Transfer 901 727 905,609 905 609 904 207
------
2014 West-East Transfer
--------------------......----------------_
J,-
~~~!
~:1~...
-- -----------------______
0~4 4...
..._--_
.Q?~!_~~L
---
0~4,
~...-...-------------------------------------------------------------------------------...-------------
Percent IncreaselDecrease over 2004 97%109%109%108%
- 281 -
Appx E Analysis Results
Table E.2 Top Four
VALUE MEASURE
PVRR R
Diversified I Diversified II Diversified III Diversified IV
om/Jaratlve
Present Value Rev. Req t (20 Year $000)313 159 337 893 360,185 395 185
Percent Greater Than Lowest PVRR 000%201 %382%666%
,-........,....--.---..,..............................-.........."-......-,.,.,....--.."'...-.,............-..,............-....-.........-.--...,..,-..-.-.--...........................-..........--........................,..-"'.....-..,--...--.-..............----....--..-...-..,......-..--.....---........
Incremental Net Variable Power Cost 779 027 841 314 992 809 10,456,417
Incremental Real Levelized Fixed Cost 343 907 306,354 177 151 748 542
D8M Real Levelized 190 225 190,225 190 225 190,225
ital Cost 2002$-millions 643 831 644 077 I
Emissions (2004-2023 PVRR $000)750 826 237)(122 127)
CO2 thousand tons 2009-2023)847 919 851 850 841 248 811,477
CO2 % of cap)105%105%104%100%
802 thousand tons 2009-2023)652 655 654 645
802 % of cap)63%63%63%62%
NOx thousand tons 2009-2023)046 049 047 036
NOx (% of cap)102%102%102%101%
Hg (thousand tons 2009-2023)0038 0036 0036 0024
Hg (% of cap)69%66%66%44%
Market Purchases (10 Year)
--.........
E'Af....1:: a~UY~~LIQ?.~L_...
,.._...._---_.........--..--..................---.-..-...-.-..........-...........-...-.--..-----.......-..........---......-...-.-------....--.-"'.---....
PAC East Averaqe MW
PAC West (% of load)
PAC West Averaqe MW
Market Sales
PAC East (% of owned Generation)
_...,......_
f'.~~..I::,i3~~-
"-~.
~a...
g~..
M~_
____.._-_..._._,_._._,_........._......_....-
323 313 316
--------_.?~~-....--..-..-..-...--..----...--..-...--...---...-...-....-..........-..--..----...--...------
PAC West (% of owned Generation)11.10.10.10.
PAC West Average MW 304 304 296 304
Unit Capacity Factors (2014)Existing Coal East 84.3% 84.6% 84.Existing Other East 92.2% 92.2% 92.
_._...__..
?~!:1_
g...
P..~_i3._
_..
I::-.?.
~!.__........._-..........-............--.----.-----.----...... ._...__.._--_..._........._...~- ...
....-....-..--..--.. 3.0% .._-_...._......_
_..............
~"t~_...IRP CCCT East 47.8% 47.0% 47.IRP Coal East 91.0% 91.0% 91.IRP Peaker East 4.6% 4.5% 5.0% 5.
:~~:::=~~:;~:
~~~~Cw.~=::::::::::::::=~=~=::=::::::::..........--....-..--..--
=- ~-=:=::~:==~:__~~~: :======~::: :=:::~~=-=:::
~~:I
~~ ~=:~~j~
Existing Other West 90.9% 90.9% 90.9% 90.IRP CCCTWest 77.4% 77.2% 78.5% 81.IRP PeakerWest 9.0% 11.9% 10.1% 10.
86.
92.
...---.-.....-...-...--...-------...--..-
63.
East West Transfers (MWHs)
2004 East-West Transfer
..._-_._-_!~~-~!.~...-
801,435 799 978
---...--...-,-
801 ,
~?~_.........-........-............-.-----..-.....-......--............--............-.......--...----............-............-......-..-""'-"'-""'".----------.....-..........................................-.................------...............---...--
2014 East-West Transfer
------...........-..!'?',-~~",?__.......--.....-
1..1..~J;!~.-
---_._.._.
Q?~,_
:'!-;!?_-..._--_.....__?~~,'!..---.----...--.......-...--...-......--......-.........--.................--------...-...............................-...-..-----..........-_..-......
Percent IncreaselDecrease over 2004 135%140%135%96%
2004 West-East Transfer 901 936 899,981 901,936 899 981
2014 West-East Transfer 303,125 332 926 293,016 588,166
Percent IncreaselDecrease over 2004 69%70%68%84%
- 282-
Appx E -Analysis Results
Table E.3 10% Planning Margin Results
VALUE MEASURE Coal/Gas III - 10%Gas/Coal I - 10%
PacifiCorp Build II
10%All Gasll-10%
Comparative PVRR RankinQ
Present Value Rev. Req t (20 Year $000)358,015 375,514 531 227 575 957
Percent Greater Than Lowest PVRR 000%142%402%764%
---------------------------------------------...-----...----------------------------...-...-------------...--------...-...--------------------- ----------------------------------------------------------------------------------------
Incremental Net Variable Power Cost 10,152 586 10,390 255 343,447 859 037
Incremental Real Levelized Fixed Cost 015,203 795,034 997 554 526,695
D8M Real Levelized 190 225 190,225 190 225 190,225
'Capital Cost (2002$-millions)361 337 649 953
Emissions (2004-2023 PVRR $000)107,467 542 113,300 (55 625)
CO2 (thousand tons 2009-2023)865 034 858 103 867 972 825,534
CO2 (% of cap)107%106%107%102%
802 (thousand tons 2009-2023)662 664 664 651
802 (% of cap)64%64%64%63%
---------...
t:'!Q'5......(!bg~::;~I1_!g!l.::;_?Q.Q~:?_Q?~1_____
_------------
Q~?'_--
-----------------------
Q~Q_...
..._-----------
.9~
---------_____
--.1.9....4;3......
NOx (% of cap)103%103%103%101%
HQ (thousand tons 2009-2023)0039 0036 0036 0030
HQ (% of cap)71%66%66%55%
Market Purchases (10 Year)
____
~Ag_~::;!J% ()! 10adL______------
...----------...-----------------------------~~---------------------------------------------...-------------------------------------------
PAC East AveraQe MW
PAC West (% of load)1.4%
PAC West Averaqe MW 101
Market Sales
----_____
~f_
~~~!_("!.~_
gfg~!l.~9_g~I1~~atiC?!l.L
_____-- ----------------
~'Y.,,-...
-...--...-----______
0% ------------------Oo/"--
-----~~-------_
Ag___East AY.~~9_g~M'r'!'_____----_......_---------------- ---------------...----...- 303 _..._-----
---_-...?~~- ---------_......_---------------_~ -------------------_???..-
PAC West (% of owned Generation) 9.9% 9.7% 9.5% 9.PAC West AveraQe MW 273 270 270 265
Unit Capacity Factors (2014)
ExistinQ Coal East 86.86.86.87.
_..._----
~J::;!~!l.g__.9_!h~_
~?~!_--------
92.92.92.92.
----------------------------------------------------------------- ------------------------------------------------------------------------------------
::;!lr1.g___E'_~9_~~E.__
?::;!_---------------------------------------------------------------------------------------------------------------------------------------------------
IRP CCCT East 62.62.62.4%74.
IRP Coal East 91_91.91.
IRP Peaker East
-----
~~~~!l.g--gggI._'r'!'~-
::;_!...-
50.51.52.57.
...-------------...--------------...-------...------------------------------------------------------------------...-----------...-----------------------------------...---------------------
87.Existing Coal West 87.87.87.
Existing Other West 90.90.90.90.
IRP CCCTWest 85.85.85.4%87.
IRP Peaker West 11.22.22.12.
East West Transfers (MWHs)
2004 East-West Transfer
-----...!~~'-~??.---------_
?'QQ,?,.Q?..801 634
------_____
J ,
~...------------------------------------------------------------------------------------------...---------------------------...---------------...------...-------------
2014 East-West Transfer 028,459 022,495 041 889 859,466
Percent Increase/Decrease over 2004 129%128%130%107%
2004 West-East Transfer 901 937 904 207 901,727 901 727
2014 West-East Transfer 382,455 385,407 330 305 511 294
Percent IncreaselDecrease over 2004 73%73%70%79%
- 283 -
Appx E A nalysis Results
Table E.4 CO2 SO/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013
VALUE MEASURE
t' PVRR
Diversified I Diversified II Diversified III Diversified IV Renewable
ompara /Ve an Inq
Present Value Rev. Req t (20 Year $000)081 433 109 080 170,316 12,301 723 687 035
Percent Greater Than Lowest NPV 000%229%736%823%013%
Incremental Net Variable Power Cost 547 301 612 501 802 940 10,362 955 10,495,818
Incremental Real Levelized Fixed Cost 343 907 306 354 177 151 748,542 000,991
DSM Real Levelized 190 225 190 225 190,225 190,225 190,225
ICapital Cost (2002$-millions)6431 831 6441 0771 2371
Market Purchases (10 Year)
--_...._....p'~g~-~::;!(!~_
9t!~~~!)........_..........................................-....-.--
_..__.............__.
Q:.
~..
'Y.~.
...._._-------_.
'Y.~-----____1~.
...___-------
QJ~... -----------QJ_
-_.._-_
!'i\-9.~9::;!_
~~~~g.
e M'!i
__.._----..-.....................-.... .---..----.-...----_..___
Q ._-_....._._......_-----
~- ---------------_? ---_..._........._-----_
Q... ._-
---.__._
!\C W~~IT~~l~~_9J___._-------_._-------_._........... 1.0% _......_......_.._-_.._._Q,.
- --------_..._......
Q!?- -......----.- 9o/~
._-_____
PAC West Averaoe MW 71 70 74 70
Market Sales
PAC East (% of owned Generation)7.4%
PAC East Averaoe MW 366 346 349 336 346
PAC West (% of owned Generation)11.11.4%11.4%11.11.4%
PAC West Averaoe MW 325 327 319 327 323
Unit Capacity Factors /2014)
._---_.__.
.i::..
::;.\.
~g-9~~~~L____....__.....86.86.86.4%88.88.
......--........-...........-..-.-..-.-........----.-.- -............-.-..............-.----..----..........................--'-"-..-.......---.---........--.-..-.......-.-...-...........--..---..-....--..........-.........._--
~~lsJ!0.9~!!!~.i::.~-
~-_._-_............-.-..---.-..--..-.--..-....-......
92.92.
......--.-.....-....
92.
.....-.--.-.-......
92.92.
......-.-....-...................--.--......-.................-...........--.......--.--.--............
Existino Peaker East 4.4%
IRP CCCT East 48.48.49.63.63.
IRP Coal East 91.91.91.
IRP Peaker East
Existino CCCT West 37.35.39.41.41.
Existino Coal West 86.86.86.87.87.
Existino Other West 90.90.90.90.90.
IRP CCCT West 76.77.77.80.80.
IRP Peaker West 13.18.15.15.14.
East West Transfers (MWHs)
2004 East-West Transfer 801,406 803,845 801,406 803,845 800,549
2014 East-West Transfer 66,610 81,482 715 653 388 653 388
Percent IncreaselDecrease over 2004 10%11%81%82%
2004 West-East Transfer 904 206 900 881 904 206 900,881 905,072
2014 West-East Transfer 688,834 658,366 587 543 838 300 786 538
Percent IncreaselDecrease over 2004 194%192%188%97%94%
- 284-
Appx E Analysis Results
Table E.5 CO2 $2/Ton: Allowance Used Is CY 2000 Actual Beginning In FY 2013
VALUE MEASURE Diversified I Diversified II Diversified III Diversified IV Renewable
Comvarative PVRR RankinG
Present Value Rev. Req t /20 Year $000)123,125 159 816 213 900 326 941 709,547
Percent Greater Than Lowest NPV 000%303%749%681%837%
Incremental Net Variable Power Cost 588 993 663 237 846,524 388,174 518 331
Incremental Real Levelized Fixed Cost 343,907 306 354 177 151 748 542 000,991
D8M Real Levelized 190,225 190 225 190,225 190,225 190 225
!capital Cost (2002$-millions)6431 831 644 077 2371
Emissions /2004-2023 PVRR $000)/71 318)(62 214)(71 495)(105,291)/108,343)
.-.----
?j!!:!Q~.9..I1._~\Q!1..?Q.9_
~~_
?Q?_
?)---_.__......------..-....-..--.....
856,752 860,430
--_...
~.4..
~-,
.4.:L~.
----
?Q,QA~-
___
816
~.....--......-.--...-----..-....--.---..-..-..-.-.-----
Q?j~ -
~ ~.
9. pt.. ---.-..--..-.-......--..-
- - - - --..-. - - --.....-......
106%
--______
1Q.
!~...
105%101%101%
...------.-.-..----.-..---.--.-------.........--------..-..---..--.......-------------.-
802 thousand tons 2009-2023)660 662 661 652 652
802 % of caD)64%64%64%63%63%
NOx thousand tons 2009-2023)056 058 056 044 043
NOx % of cap)103%103%103%101%101%
Ha /thousand tons 2009-2023)0039 0036 0036 0024 0024
Ha (% of caD)71%66%66%44%44%
Market Purchases /10 Year)
------_
E-~g. East ~9fJ9_CJQL_......-
--.........-----........-..----.......--..-----......-.-.----.-...--------..--------..-..................-...--------..-----.--------..---------..--------.-..--"'.-..-..
8...
--_
!'.~...9_~~t~y~~-
g~-
~YY-_..
...--.-..----..-..-..-....--...........--..-.--.....-....-..---.-...-..................-....---.-..--.-..--.-..............-.---..----.......-.--......-............-....-....---"'p-~g-~~!...
(:&91J!?9.gL...
.....-..---......-.-..-.-.....-.--......-----......-........-............-..-.---.-........-.........._.._..-.-.-..--.----....-....-.-......----........-..-.-.----------.-..-..
PAC West Averaae
Market Sales
PAC East (% of owned Generation)7.4%7.4%
PAC East AveraQe MW 360 337 339 325 336
PAC West (% of owned Generation)11.4%11.11.11.11.
PAC West AveraQe MW 319 320 312 320 317
Unit CaDacitv Factors /2014)
-.--
~!1.~Lg9~_E:..9.~\..._--_.._...._.._.._-_
._--------
86.86.86.4%88.88.
-..--.-.---.-....-.......---....-.----.-..-.....-..----.....-.-....-..------..-........-..........---..--...-.......-.....-....--.--....----.-_..._......
~)(i~tin Qj~~!..EI3.~.L._..._......
._--_._!g,~_. ...
92.92.92.92.
.............---......--.-...-.-...-..--..-............-...............-.--.--....-.-.-...-..--..-.--..---......----......-...--.---........................-.-.----.
ExistinQ Peaker East 4.4%4.4%
IRP CCCT East 47.47.48.62.62.
IRP Coal East 91.91.91.
IRP Peaker East
ExistinQ CCCT West 36.34.38.40.4%59.
ExistinQ Coal West 86.86.86.87.40.2%
ExistinQ Other West 90.90.90.90.87.
IRP CCCT West 76.2%77.4%75.80.90.
IRP Peaker West 12.4%16.13.13.94.
East West Transfers /MWHs)
2004 East-West Transfer 801,406 803,845 801,406 803,845 800,549
2014 East-West Transfer 610 81,482 91,715 612 659 653,388
Percent Increase/Decrease over 2004 10%11%76%82%
2004 West-East Transfer 904 206 900,881 904 206 900,881 905,072
2014 West-East Transfer 688,834 658 366 587 543 838,300 786 538
Percent Increase/Decrease over 2004 194%192%188%97%94%
- 285 -
Appx E Analysis Results
Table E.6 CO2 $25/Ton: Allowance Used Is CY 1990 Actual Beginning In FY 2008
VALUE MEASURE Diversified IV Diversified II Diversifed III Diversified I Renewable
Comparative PVRR Rankinq
Present Value Rev. Req t (20 Year $000)329 836 366 557 378 381 388 234 635 351
Percent Greater Than Lowest NPV 000%256%339%408%132%
Incremental Net Variable Power Cost 391 068 869,978 011 005 854 102 12,444 134
Incremental Real Levelized Fixed Cost 748 542 306 354 177 151 343 907 000 991
D8M Real Levelized 190 225 190 225 190 225 190 225 190 225
ital Cost 2002$-millions 077 831 644 643 2371
Emissions (2004-2023 PVRR $000)079 398 504,403 392 752 515 740 015 588
-----
gQ.
?(!_
~9.~~~_Q9Js?~-.?Q.Q_? 0 2 3
)--.-----.....-.....
J~_gL~_.
--_._-_._..?~.
2Q-
._._-_.._......
!3..
~..~~......_.._.._..-----_...
!~~i3.?_-
.._..__....(%..
gf...I::5I.pt........._---_._-_
._...._--.----------
115%121%120%
----______
1?_9.'r~115%
...-...-..---.-.-..-..-...-.........-..---..---..-.-.......---.----.--.......-...............-----..-..--..-..
802 (thousand tons 2009-2023)606 612 613 610 605
802 % of cap)58%59%59%59%58%
NOx thousand tons 2009-2023)995 003 003 001 993
NOx % of cap)97%97%97%97%96%
Hq (thousand tons 2009-2023)0018 0029 0029 0032 0018
Hq (% of cap)33%53%53%58%33%
Market Purchases (10 Year)
----
~g~~.s.!j% of19.~_..._------------_.._._.........._.._---
._._...._...._._........_
Q,.
?,~_.. -_....._..._--_.._
.Q.,_?r.~-
-_.._._----
?'Z'.~.- ...._----_.._1~- _.._-_._-
--_._~g-~~.~~~!~g-~~~_.._.._............._.............-....-..-...- ---_.._........._..._._......._~... .._._--_.._-_.._----_.~..----_.._---_.._........_....~- ._-_._._._----~ -.--.--.---..-..--------_
1'-A-g-
~~~_
U%_
!?!_
lQ~9L.__.._-_.....__._......__...._..---....--..........-..
..__....__._---_
.1,~'r,,-. -----..... 1_
_....__.%._........._......._.._...._....
J..~'r~.-
--_._.......
J,-o/.~.PAC West Averaqe MW 99 98 101 98 100
Market Sales
PAC East (% of owned Generation)
PAC East Averaqe MW 274 285 288 287 283
PAC West (% of owned Generation)10.10.10.10.10.
PAC West Averaqe MW 284 286 280 287 282
Unit Capacity Factors (2014)
--____
~is!Coa 9..s.!___-77.75.75.75.77.
...--..-....---.--.--...........-.....................-.-.-.-....-....--..-.--.---.----.-------....-...-..----.----..- -..--.-----------..-.---..---.-.-...--....._.___
~'5i~!.i.QgQ!her East....92.92.92.92.92.
...-......--.-.-......-..-..--......-.-..-...........---..-..-.-..--..-..-....-...---......-..-------..-.--....-.-....---..--..........-...--.-....-......-....-............-.......-...-...--.--.-.--.-...-...-
Existing Peaker East
IRP CCCT East 74.66.67.66.75.
IRP Coal East 91.91.91.
IRP Peaker East
Existinq CCCT West 45.40.42.42.44.
Existinq Coal West 84.83.84.83.84.
Existinq Other West 90.90.90.90.90.
IRP CCCT West 83.83.82.81.83.
IRP Peaker West
.---........-....-..---..............-
East West Transfers (MWHs)
2004 East-West Transfer 803,845 803,845 801,406 801,406 800,549
2014 East-West Transfer 612 659 81,482 715 66,610 653 388
Percent Increase/Decrease over 2004 76%10%11%82%
2004 West-East Transfer 900,881 900,881 904 206 904 206 905,072
2014 West-East Transfer 838,300 658 366 587 543 688,834 786 538
Percent Increase/Decrease over 2004 97%192%188%194%94%
- 286-
Appx E - Analysis Results
Table E.14 Stress: Hydro Loss of Capacity
VALUE MEASURE
PVRR R
Diversified I Diversified II Diversified III
omparatlVe an mq
Present Value Rev. Req t (20 Year $000)920 746 12,945,841 967 725
Incremental Net Variable Power Cost 10,238 876 304,970 10,452 610
Incremental Real Levelized Fixed Cost 2,491 645 2,450 645 324 890
D8M Real Levelized 190 225 190,225 190 225
ICapital Cost (2002$-millions)2,760 I 947 I 761 I
Emissions (2004-2023 PVRR $000)098 706 12,981
......_
qQ~ j!~9~~..C!r:t..ql~E~~..~.9Q~~- ?Q.?~.L- -.------------
.._-----------_.???,
n~___.
---..--..-------......._~~~
345
--_...._-_.._?!.
IZ~_-
___o f 91J~ ~ ~ pJ ....-..--. - - -
- -....-.-- - .-. ....-..---..- --...---.... - ..--....--
105%106%105%
-...---.................-.....----......---..-...-..-.........------..-..-.-.......---..-.......-...-....--....-..------..------.-....-.--...-_..
~ Q?(\.t:!~ 1J.~.c!.
g...
!~ ~_.. ~9..Q ~:?Q? ?1...... ....654 656 655
...--..-..-.--...-......-.-------..-.-.------..-------..--.....--.------..---........-..........-..............................--..---....-..--.---..----.--..-...--------..--....--.
802 of cap)63%63%63%
NOx thousand tons 2009-2023)049 051 049
NOx of cap)102%102%102%
Hg (thousand tons 2009-2023)0038 0036 0036
Ha (%of cap)69%66%66%
Market Purchases (10 Year)
PAC East (%of load)
PAC East AveraQe
_..
E~fYY~~\(~gLI~~gL__._._..-
..-.........---....-.-........-..-..------...-......-.-.-.---.-......---.-...----....-.---......-.-.-.-........-.---.--.---.....
PAC West AveraQe
Market Sales
PAC East (% of owned Generation)
PAC East AveraQe MW 318 307 309
PAC West (% of owned Generation)10.10.10.
PAC West AveraQe MW 279 279 271
Unit Capacity Factors (2014)
ExistinQ Coal East 84.84.84.
.......__..
EJSi?.ll..g_Q!t:!~-
~?~\_-
92.92.92.
...-..----......-.....-.....-..--..-..----.-..-.-..-----------..--------------. .......----....--.....-.....-......--..--------.-..-..---.--.------...-.....---.----------.- -....-. .
~~!~!! Q.. 9 ~~..k._
~~-
~ ~J__
.._--------_.._--_..._- - --.....- - ---..-.....-..-..............--.......-......-..------...--....---..-..------.................-........-..--..---.--..--.......-..--......--..............-....----..-..-...--.-..
IRP CCCT East 50.
...._._____
5Q:9-~_-50.
-.......-.-..................-...---.-.-..----..-.---..-..-.-..-..--....-....--..-------..----........--.................-..--....-..-........-.-----..-..-..........-...-.-...........--.-....---------.--.----..-
IRP Coal East 90.91.91.
IRP Peaker East
Existing CCCT West 39.37.39.
Existing Coal West 86.86.86.
Existing Other West 90.90.90.
IRP CCCT West 81.79.81.
IRP Peaker West 10.13.11.
East West Transfers (MWHs)
2004 East-West Transfer
.........-.........------.-..................---.....-...-............
..Ig~,
~?.~........._....._...__....__
?Q_
~~~_--.--...-...-..-.........-.....?~_
~~..?..!L-
............-.--........------.-.-.................------......-...-----..........--.....
2014 East-West Transfer
..-.............-.......--.-..-......
1~.~..t
~:?g...._...._...._....__..
J..?l~l~Q.
?_._.................._......._-_...._.
J..
??~.
,A.
~?...... ....-- --.-... ---...-...........-..---.-..........-...-........-....-........-....-.---.--....-...--....-..
Percent IncreaselDecrease over 2004 150%152%154%
2004 West-East Transfer 901 936 899,981 901 936
2014 West-East Transfer 237 832 208 774 179,098
Percent IncreaselDecrease over 2004 65%64%62%
.. 294 ..
Appx E - Analysis Results
Table E.13 Stress: Timing Variation of Large East Resources
DP1 2008 2009 2012 DP3 2007 2009 2012
Base Base
VALUE MEASURE HGM GHM GMH GMM GMH GHM
Comnarative PVRR Rankinq
Present Value Rev. Req t (20 Year $000)12,313 159 325 424 317 132 395,185 360,185 12,370 745
Percent Greater Than Lowest NPV 000%100%032%666%382%0.468%
Incremental Net Variable Power Cost !779,027 844 373 972 388 10,456,417 992 809 860,009
Incremental Real Levelized Fixed Cost!343,907 290 826 154 519 748 542 177 151 320,511
D8M Real Levelized 190 225 190 225 190 225 190,225 190,225 190 225
ICapital Cost (2002$-millions)643 I 643 644 I 077 I 644 I 644 I
Emissions 12004-2023 PVRR $000)750 140 925)1122 127)237)020
CO2 (thousand tons 2009-2023)847,919 847 920 842,436 811,477 841 248 846,882
CO2 (% of cap)105%105%104%100%104%105%
802 (thousand tons 2009-2023)652 652 654 645 654 652
802 (% of cap)63%63%63%62%63%63%
NOx (thousand tons 2009-2023)046 046 048 036 047 047
NOx (% of cap)102%102%102%101%102%102%
Ha (thousand tons 2009-2023)0038 0038 0036 0024 0036 0038
Ha (% of cap)69%69%66%44%66%69%
Market Purchases (10 Year)
..._.._-_
P-~~ !J,,&.g!IQ~_gL_._.._-
.__._.........
..Q.1~-..._.m..
......--..-.-----......-..-..-................-....--..---..--..-..-..--..-----......-------.-.----..---.-.-.-.----......-..---_.
l'!,:gJ~ ~ ~! AY~L~9~MYIJ
- -
___mom
....-....-..---....-....-..-...---......-....................-........-..--...-..-----..-.-.....-------..--...---......-....-.---....-..-......
"""-"""'._m_.____
.....---..-..-...--.----
PAC West (% of load)
PAC West Averaae
Market Sales
PAC East (% of owned Generation)
PAC East Averaae MW 323 320 309 300 316 327
PAC West 1% of owned Generation)11.10.10.10.10.10.
PAC West Averaae MW 304 303 305 304 296 296
Unit CaDacitv Factors 12014)
....__.._.._
E:..~istif"!9gg_Cl.L~~~_t................__m 84.84.
_._
~4)~86.84.84.""._m............--..-...-..."-,-".-._...._m.m....
....-.-.....----..-....-.....................-.-...-.---.-..---..-.-............ . ...--.....-..-........------...-....
m"_'__"""'_._m.-
.___._.
stin Q!!!E:!L.E:..9~.
!.............
92.92.92.
......-......
92.92.
------...
92."'-""""".-..._...._m_.....-......
......-.--.....---....---.--.-...-.......-..........-....--...--...-...........-...............-...-.-....-...------..-............-.--......-..-...
Existina Peaker East
IRP CCCT East 47.47.47.63.47.47.
IRP Coal East 91.91.91.
IRP Peaker East
Existina CCCT West 34.34.34.37.58.96.
Existina Coal West 86.86.86.86.35.86.
Existina Other West 90.90.90.90.86.90.
IRP CCCT West 77.4%77.4%77.81.78.78.
IRP Peaker West 10.10.10.
East West Transfers (MWHs)
2004 East-West Transfer 799 978 799 978 799,978 801,435 799 978 799,978
2014 East-West Transfer 077 393 077 393 077 393 766 831 083,438 083,438
Percent Increase/Decrease over 2004 135%135%135%96%135%135%
2004 West-East Transfer 901 936 901 936 901 936 899 981 901 936 901 936
2014 West-East Transfer 303 125 303 125 303,125 588 166 293 016 293,016
Percent Increase/Decrease over 2004 69%69%69%84%68%68%
... 293 ...
Appx E Analysis Results
Table E.12 Stress: Peakers to CCCTs and IGCC in 2012
VALUE MEASURE
Diversified I
Base
Diversified I
Pkrs to CCCTs
Diversified III
Base
Diversified III
Hunter 4 to IGCC
Present Value Rev. Rea t (20 Year $000\313,159 338 104 12,360 185 537 042
% chanae from base 20%43%
Incremental Net Variable Power Cost 779 027 562 638 992 809 10,222 845
Incremental Real Levelized Fixed Cost 343,907 585 241 177 151 123,972
DSM Real Levelized 190 225 190,225 190 225 190,225
!capital Cost (2002$-millions)643 094 I 644 I 626 I
Emissions (2004-2023 PVRR $000)750 970 237)(80,888)
----
C02Jtho.l,!~.?!l_c:!_t.9.!l.~~QQ~~~Q?~)mm.
.....-.---.....
mm__.__......
......_~~!,.
mm_......
..._..._~~,.~~~._..
841 248
-----_..__..._
22,
~.!~__.
C02i% of cap)
.............-................
.-._.._..m_-
105%106%104%105%
S02 (tho.usand tons 2009-2023)652 649 654 650
802 (% of cap)63%62%63%63%
NOx (thousand to.ns 2009-2023)046 043 047 038
NOx (% o.f cap)102%101%102%101%
Ha (thousand tons 2009-2023)0038 0037 0036 0036
Ha (% of cap)69%67%66%66%
Market Purchases (10 Year)
____
J:'Ag_~?~U~,,-gfl9.?c:J)- -.-
----------....-------.--.......-..--.-......---..-...
mm..........-..-
-......----.--.------.-...__.___
m_.
__.-
.....---....--_m___.__..
-----..--.-.---.--.------_
J:'.~~~?~!AYE?~?9~ ~
~ - ....-..-----.-- - - -.
__mmmm_.___.._.._........_.._
.......-....---.-..........-....-....-..--..-.-......-..-..-......-..
_.m__.m_.__.........-
....-......------.--.-----____
J:Af.~~_~t(~..9.!J 9?9.L...... ..m___m
....-....---.-.-..--..-.-.---...........----...-.-...-.----------._.
.m.
-.-..---...------....--..------....-..........-............--.---..--..--..
mm__
.._............--....-...---.-......
PAC West Averaae
Market Sales
PAC East (% of owned Generatio.n)7.4%
PAC East Averaae MW 323 339 316 310
PAC West (% of owned Generation)11.12.10.11.
PAC West Averaae MW 304 344 296 295
Unit Capacity Factors (2014)
---
Exi~!~"-9. CO?I~~~_L___._.__.____m ......___...mmmmmm ......
?~~.
~....- _......._m...._.m___.
~~.?~"-....._. ... ......_.._-_..._
~~?~ _.__.._mm_..._..
~~.
Q!o
_....----
~~!~!i!lg_Qt.t:J~r~?~L...____...._._._--__.___m.._._mm_...._............_
~?-'-
~"-_.m_mm mm__.........?Y,,-........ ............_m__- 92.~_m .mmm_...._---_._.._-
~?:
?."(o
_..---_
~~Jgi!l_
g?~?_
~~.!:E?~L.. ...............-.__..__mmm- _.___mm_____._..._....._._..
~..
~"-..._. ..--._..__m_._........m.-"l.jJo
.--.. ..
m.._m....._- 3.
.....--.-.....-.-.--....-..,:?
IRP CCCT East 47.8% 37.2% 47.5% 56.IRP Coal East 91.0% 91.0% 91.0% 71.IRP Peaker East 4.6% 3.4% 5.0% 5.
Existina CCCT West
Existina Coal West
Existina Other West
IRP CCCT West
IRP PeakerWest
34.
86.
90.
77.4%
11.
85.
90.
69.
10.
35.
86.
90.
78.
10.
36.
86.
90.
80.
10.
East West Transfers (MWHs)
2004 East-West Transfer
... '----'-----'--'-'._"'.!.~~'~.!~._-------...
799 978 799,978
-.---..--.--
803~?._m'---"---,---------""-"-"""'----,...__'mmm...m_.--..
-.-....--.--..-......
....--.._...m"""-----,.-..------.----........_m..._...-----
2014 East-West Transfer 077 393 900 677 083,438 946,502
Percent Increase/Decrease over 2004 135%113%135%118%
2004 West-East Transfer 901 936 901 936 901 936 902 703
2014 West-East Transfer 303,125 1,449 643 293 016 1,410,333
Percent Increase/Decrease over 2004 69%76%68%74%
- 292 -
Appx E Analysis Results
Table E.n Stress: Wind Install One Year Early
VALUE MEASURE
PVRR
Diversified I Diversified II Diversified III
omparatlVe ankina
Present Value Rev. Req t (20 Year $000)327 592 351 937 372,039
Incremental Net Variable Power Cost 797 842 855,344 008,405
Incremental Real Levelized Fixed Cost 339,524 306,368 173,409
D8M Real Levelized 190 225 190 225 190,225
ICapital Cost (2002$-millions)643 I 831 I 644
Emissions (2004-2023 PVRR $000)410 338 (13 604)
-- _
Q ~.. ~ \.
~~~.
?. 9-. ':1_q\~!l.~~QQ~:~Q~~L_..
...-.----...-..-----.-.......---------------_____
?4~ZIl~
-----___
95~_
------_..
~9_..-
._------~g~.~!..
I::9-EL_
_____-----_..
105%105%104%
.....-----.-..-------....-........--..--------.-.--.-----....-----------.----.------...-...----..-----..---..-...--......._...
~Q~..(!!!Q_lJ...s1,J!:Ic:!JQ!:I?_~9g~:~Q~~t.....-
...--------......---........-.----.-..-......
651 654 653
802 (% of cap)
.... --.-.--....--------..------.......-...-.------.----..............-........................--.....--.-..---------.--
63%63%63%
NOx (thousand tons 2009-2023)045 049 047
NOx(%of cap)102%102%102%
Hg (thousand tons 2009-2023)0037 0036 0036
Ha(%of cap)67%66%66%
Market Purchases (10 Year)
PAC East (%of load)
PAC East AveraQe
._.._____
~A_C:::..Y'!_
~?!.
'(o oLI~9-c:!L__.____.__...__...
..............-...........---..-..........----.---.-......----.........-.--.--...............-..-..-.-.....--...------.------.
PAC West AveraQe
Market Sales
PAC East (% of owned Generation)
PAC East Average MW 327 318 320
PAC West (% of owned Generation)11.10.10.
PAC West AveraQe MW 309 310 302
Unit Capacity Factors (2014)
ExistinQ Coal East 84.84.84.
._-_
E~!?!L!:Igg!I:!~..
!='..
o:!.~!......_-_.._---_.......92.92.92.
..-..-..-..--.-..................--.....------......---.-----------------.....-....-..---.----.----..-..--...-.--..-...-........-....---...---....----------.----.__
!='.~!~JLt!g..
~~~_
~!E.9-.
!.........._...._--------_.......--....-------.....-..--..---.....-..-....------.--............---..---...........-....... .. ---..-........................-.-.-....-..-..-..----..--.-----------..----..-.---
IRP CCCT East 47.47.47.
--.------....-.---....-..-..-.-.........---..----....................................-...--......--..-----....--.-..-..........-....-..---........-.........------........-.-....--.....-....-..................................--------..-...........--.--..-------..-.-
IRP Coal East 91.91.91.
IRP Peaker East
Existina CCCT West 34.31.35.
Existinq Coal West 86.86.86.
Existinq Other West 90.90.90.
IRP CCCT West 77.4%77.78.
IRP Peaker West 11.10.
East West Transfers (MWHs)
2004 East-West Transfer
......_---_
J~~~?:?-
..._-___
Q1A~~_-
--_..._..?:.?~.'-~?:?__.......------.---........................-.-........-.....-.-............------.....-.-..-...-.......................--....... ----...-.....
2014 East-West Transfer Q?ZJ93 J?4!T~~-
.._._--_
J..Q?~.
~?.....-........-............-...----..-................-...-....-.-.-..........................................-...............................-...-.-.--...................--.--._............--.--.-......-......
Percent Increase/Decrease over 2004 135%140%135%
2004 West-East Transfer 901,936 899 981 901 936
2014 West-East Transfer 303,125 332 926 293 016
Percent Increase/Decrease over 2004 69%70%68%
- 291 -
Appx E Analysis Results
Table E.I0 Stress: Wind At 15% Capacity
VALUE MEASURE Diversified I Diversified II Diversified III New Technology
omoarative PVRR Rankina
Present Value Rev. Req t (20 Year $000)206 172 231 701 12,256,908 415,253
Incremental Net Variable Power Cost 672 040 735,122 889,532 310,948
Incremental Real Levelized Fixed Cost 343,907 306 354 177 151 858,748
DSM Real Levelized 190 225 190 225 190 225 245,558
ICapital Cost (2002$-millions)643 831 I 644 I 108 I
Emissions (2004-2023 PVRR $000)368 66,783 26,509 (181 689)
-- - gQ?(!bQ~~~~ql9_~~?QQ~:?Q.
?- ~) ----....-----....-----..-._--_._._--~~?.'??.~........
858,979
....--....------...
848,245
-______
l~.
...................-.....-..------.--.--..-... .....-----..----
~9?_()!J:.~1..............106%106%106%99%
..--....-.....-...-.-..-......---..-......-.----.----..............-..--....---------..---...............-.-...--. ........--.--....-..-................-..----......--...--...-..-------......-.......-..------------..-.--.----_
$...Q~J!!:!9_LJ_~Q.
~..
ns 20Q~:?Q?~2__._..__.656 658 657 639.--.-----._...._mm-
-............
mm_.._..
---------.-.....------....-....-...........................------.......----..-.
....._mm....-
.-.--.----..--....----------..-
802(%of cap)63%63%63%62%
NOx (thousand tons 2009-2023)052 054 053 031
NOx(%of cap)102%102%102%100%
Hq (thousand tons 2009-2023)0038 0036 0036 0024
Hq(%of cap)69%66%66%44%
Market Purchases (10 Year)
PAC East (% of load)
PAC East Averaae MW
._...__!:~
g W~~!J~.gfloadL_._-......-.---...------__m_.....-......m_...........____mm_.....
....................-.-.......-.-.-......-..
..._m...._..mm_.......
....-..--....---..--..-.-.-.----....-.....
PAC West Averaae MW
Market Sales
PAC East (% of owned Generation)
PAC East Average MW 320 310 312 307
PAC West (% of owned Generation)10.10.10.10.
PAC West Averaae MW 290 290 281 305
Unit Capacity Factors (2014)
Existing Coal East 85.85.85.85.
mm._..__- Exi~!iQ.9..9J!!~~ast
___----------..--....-----....--.-..---.-
92.92.92.92.
-..---..--..---.----..........--.-.-............-..--..........--.---. .........--..-......-....--....--...-
f---
------------_._---_...
~xis!!.Qg!:~~~~.i.
......-.......------------------------------------
3.4%
--------------------------------------------------------------------------------------------------------------------------
IRP CCCT East 52.51.52.51._m.___._-------------.-.--.-
.---.-..-.-------------.--------------------------.-.-.----------------------------------
-------------_-m_---------
-----------.-.----.--------------
--m----_-------------------
------------------------'--'--
IRP Coal East 91.91.91.
IRP Peaker East
Existinq CCCT West 40.37.41.64.
Existinq Coal West 86.86.86.36.
Existina Other West 90.90.90.86.
IRP CCCT West 80.80.4%81.4%86.
IRP Peaker West 10.13.11.94.
East West Transfers (MWHs)
2004 East-West Transfer
.__---_.
Z~~,
~?~--_..
~Q~,4~!5.-
.__
?~g,~Z~--
_.__~_-
-----...-.m--_._-.--.-....---.-.-.-.-.-.........-.----
.-----.-...----__
....m
...--........--..-.......-.----..---..---------------------------
2014 East-West Transfer
~~-,-
91g_.- .--.m._
?~._
13.,4Q_
?....
1 ,229,442
____
04E
?~?_...-.-.....-....--.--.........-..--...-.----------------------------------------------------.--------------_
m_-
----------....-----------------------.....-.--.-..-...-..------------------.--.--.----
Percent IncreaselDecrease over 2004 150%152%154%131%
2004 West-East Transfer 901 936 899 981 901 936 915,797
2014 West-East Transfer 237 832 208,774 179,098 314 900
Percent IncreaselDecrease over 2004 65%64%62%69%
- 290-
Appx E Analysis Results
Table E.9 Stress: $0 CO2 Tax, No Wind Capacity
VALUE MEASURE Diversified I Diversified II Diversified III Renewable II
Comparative PVRR Rankino
Present Value Rev. Req t (20 Year $000)086 798 122,491 190 984 518,355
Incremental Net Variable Power Cost 552 653 625 898 823,594 10,260 032
Incremental Real Levelized Fixed Cost 343,921 306 368 177 165 012 765
DSM Real Levelized 190 225 190,225 190,225 245,558
!capital Cost (2002$-millions)
-------------------------------------- --------- ----...------...
644 831 I 643 187 I
Market Purchases 110 Year)
PAC East (%load)
____moo_A C.E.9?!~~~9g~_!Y1...':N_---------------_...
------------...------------------------...------------------------------------------------------------------------------------------------------_..._-------------------------------_
?..~f...~~~J% ol!g?~t_---_..._---------------------
-......---------------------------------------------------------_..._------------------------------------------------------------------------------------------------
PAC West Averaqe
Market Sales
PAC East 1% of owned Generation)
PAC East Averaae MW 347 326 327 320
PAC West (% of owned Generation)10.10.11.10.
PAC West Averaae MW 304 308 296 299
Unit CaDacitv Factors 12014)
------------__
istin g~L~_
~~--------_......_---------------...-...------ ..._----------------------_
1!~____-------_...
...??-,-~~~---- ---------_..._-_??:_~--~~----- -------_..._-----_!==._
~~!!!l_her .E.
?~!_-------------------------------- -------------------------~?_"&- --------------------_____
~2.2"(
-------------- ...__...~?:
'Y-~-- ----_......__
___
92.'Y-~-
--_
~~!~~i!!9__
!:~?
ker Ea~L__
____----------------------- ----------------------_
...?c_~------_..._-------- 5.6% ----------_...
..._-- ------_..._----_...~-'-~~-
IRP CCCT East 62.3% 62.1% 63.1% 67.IRP Coal East 91.0% 91.0% 91.IRP Peaker East 8.6% 8.5% 8.
Existinq CCCT West
Existinq Coal West
Existinq Other West
IRP CCCTWest
IRP Peaker West
12.
55.
87.
90.
85.
18.
55.
87.
90.
85.
22.
56.
87.
90.
86.
18.
60.4%
87.
90.
86.
18.
East West Transfers
2004 East-West Transfer
.........
z.~~1~Z?_...
...
...I~QJ__4~~____--
-------_.!~-
~Z?-
...
z.~?-,
?~~-------------------------------------------------------------------------------------------------------------------------------------------...-----------...-----------------------
2014 East-West Transfer 018,437 049 608 094 800 923,484
Percent Increase/Decrease over 2004 127%131%137%116%
2004 West-East Transfer 901 936 899 981 901 936 915,797
2014 West-East Transfer 323,241 359 365 276 948 1,489,085
Percent Increase/Decrease over 2004 70%72%67%78%
- 289-
Appx E Analysis Results
Table E.8 Stress: Additional Wind Capacity Removed
VALUE MEASURE Diversified I Diversified II Diversified III
omoarative PVRR Ranking
Present Value Rev. Req t (20 Year $000)380 827 407 945 434 973
Incremental Net Variable Power Cost 846,681 911 352 10,067 583
Incremental Real Levelized Fixed Cost 343,921 306 368 177 165
D8M Real Levelized 190 225 190,225 190,225
!Capital Cost (2002$-millions)644 831 I 643 I
Emissions /2004-2023 PVRR $000)106 978 111 873 70,965
CO2 (thousand tons 2009-2023)865 365 868,696 857,646
CO2 (% of cap)107%107%106%
802 (thousand tons 2009-2023)661 662 662
802 (% of cap)64%64%64%
NOx (thousand tons 2009-2023)058 058 057
NOx (% of cap)103%103%103%
HQ (thousand tons 2009-2023)0039 0036 0036
HQ (% of cap)71%66%66%
Market Purchases /10 Year)
PAC East (% of load)
PAC East AveraQe MW
PAC West (% of load)
PAC West AveraQe MW
Market Sales
PAC East (% of owned Generation)
PAC East Averaae MW 306 297 298
--_._.
'!Y~_~L('?'~_C?LQyvn~_~~!lera
~~~__.._-----_........-
10.10.
.-..-....-....--..--.----------........----...-------------...---.--.
PAC West Averaae MW 279 281 271
Unit Capacity Factors (2014)
ExistinQ Coal East 86.86.86.4%
ExistinQ Other East 92.92.92.
ExistinQ Peaker East
IRP CCCT East 62.61.62.
IRP Coal East 91.91.91.
IRP Peaker East 6.4%
._..____
~i s t~t:1fLg...f...fI...YY...~.
~_...._.._---_._---------_..._------..---..-....-.-
51.49.51.
--.--..........-......-.........-..-.-.----..--............-..-------..-..-...-......---------'---____
~xi sti n gQ~~~L_._.__-_._.._----------
-_.._----
87.87.87.
---.-.-----.-..-..-.....---..---......--.-.......-----....-..-....-.--..--..--.---.---..--.............-..-..-..---.-.--------..--.-..._-_...__
~sting t!:ter West
.__-------.........----...--------
90.
-------_.._----_____
~9~
-----_.._.._
(L~~
---....-..-....-.----....----..--
IRP CCCT West 84.85.85.
IRP Peaker West 12.14.11.
East West Transfers
2004 East-West Transfer 799 978 801,435 799 978
2014 East-West Transfer 004 300 012 008 085,245
Percent IncreaselDecrease over 2004 126%126%136%
2004 West-East Transfer 901 936 899,981 901 936
2014 West-East Transfer 373,267 1,410 112 313,498
Percent Increase/Decrease over 2004 72%74%69%
- 288 -
Appx E - Analysis Results
Table E.? CO2 $40/Ton: Allowance Used Is CY 1990 Actual Begjnnjng In FY 2008
VALUE MEASURE
Diversified
Diversified II
Diversified
III Diversified I Renewable
Comparative PVRR RankinG
Present Value Rev. Rea t (20 Year $000)087 880 196,410 244 606 15,299,780 15,338,168
Percent Greater Than Lowest NPV 000%719%039%1.404%659%
Incremental Net Variable Power Cost 13,149,113 699,831 877 229 765,648 13,146,952
Incremental Real Levelized Fixed Cost 748,542 306,354 177 151 343,907 000,991
D8M Real Levelized 190,225 190,225 190 225 190,225 190,225
ICapital Cost (2002$-millions)077 831 644 643 2371
Emissions (2004-2023 PVRR $000)101 062 760 703 599 257 785 622 997 070
CO2 (thousand tons 2009-2023)757 556 793,960 784 975 790,263 753,067
CO2 (% of cap)111%117%115%116%111%
802 (thousand tons 2009-2023)554 560 563 559 552
802 (% of cap)53%54%54%54%53%
NOx (thousand tons 2009-2023)936 943 945 941 933
NOx (% of cap)91%92%92%91%91%
Ha (thousand tons 2009-2023)0012 0023 0023 0026 0013
Ha (% of cap)22%42%42%47%24%
Market Purchases (10 Year)
PAC East (% of load)
PAC East Averaae MW
PAC West (% of load)1.4%
PAC West Averaae MW 105 103 105 103 105
Market Sales
PAC East (% of owned Generation)
PAC East Averaae MW 260 268 270 268 269
..._......_._
r:~G:...
'!:!..\...
e(~Q!_wned
~~~.
~!~\iSJ~)-10.4%10.10.10.10.4%
.--.......--..._...................................-...................--.--.-.-..--.-.....-...-........--..........-------..--.-----..
PAC West Averaae MW 297 300 294 303 296
Unit Capacity Factors (2014)
Existina Coal East 69.67.68.68.69.
Existina Other East 92.92.92.92.92.
Existina Peaker East
IRP CCCT East 85.81.81.81.85.
IRP Coal East 91.91.91.
IRP Peaker East 74.4%
Existina CCCT West 83.81.82.82.4%83.
..._.__._
~~i~\i
~g_.
G:.()._a...I'!:!.~s...\__......_...79.78.
_......
78.78.79.
...........--.......---.-.-..-..---.-.......-......-.............-..-.-----.................-........-.........-............................-.-.-..............-.----......-.__..._.._
':'.i
~\.
l!g Othe
!:_
Y'l...~~!.90.90.
.....--......
90.90.
............-............---.........-..........-........-.----.......-.......-.....-.......----.....-.....-.........-_.._---_.._.._..._
IRP CCCT West 85.87.85.84.87.
IRP Peaker West
East West Transfers (MWHs)
2004 East-West Transfer 803,845
..........._.........
91-,
...
1:!.~~_.
...........
801,406 801,406
..._.._......._...~...
9...Q,p'
...........-....-.....-.....-.................................-....--....-...--...............................-.....---...............-..-..--.........----..-...........---..........................................-..-....--.---.
2014 East-West Transfer
--_.._.......
g9...?2-
-_...._.........
!!1.4~?-
--........
715
......._......_...~,-
~JQ.
--_~~.
3~.
!!.......-.....-.-..-.................-................-..-....-..................-.-.........-............-........-.....--.......-..-....--..........-............................-
Percent Increase/Decrease over 2004 76%10%11%82%
2004 West-East Transfer 900,881 900,881 904 206 904 206 905,072
2014 West-East Transfer 838 300 658 366 587 543 688 834 786 538
Percent Increase/Decrease over 2004 97%192%188%194%94%
- 287 ...
Appx E Analysis Results
Table E.15 Stress: SB1149 Loss Of Load
VALUE MEASURE Diversified I Diversified II Diversified III
Comoarative PVRR Rankina
Present Value Rev. Req t 120 Year $000)10,534 056 10,549,642 557 592
Incremental Net Variable Power Cost 347 855 8,400 995 538,614
Incremental Real Levelized Fixed Cost 995,975 958,422 828 753
DSM Real Levelized 190 225 190,225 190 225
ICapital Cost (2002$-millions)322 I 510 I 323 I
Emissions 12004-2023 PVRR $000\165 703)(47,738)189 889)
- ~Q~j!~~_lJ- ~ ~ -rl s!. !~~~-~QQ~~?~?~L_.__.
......- ..--.- - ----.- ---------_....__.__........~~?,
~?L
..-.-...........
832 597
._----___
?~.?1.9_
?~.._.-......-..-....-........-..----..-.-...- ._---
gQ~(,,!~. .~f.g.pL_.._...._......_--------- -
-.-.. -................----......
102%103%102%
.-.----..-......--.-..---------....-....-....------........-..--....--....-....--.....................----.---..-.-.------..------.--..-....--.........--....
S q
?(!.
~9.l,!~.13..
g!g...
r1~?9_Q~-=-?.Q~.
~)----_..__...
648 652 650
SO2 1% of caD)
...-......-...-----...-.-.-..........-....------.--....-..---..-..-..-......-..--......-.-....--...-....-....-.------..-.-.---------.---..--....---.--..........
62%63%62%
NOx (thousand tons 2009-2023)040 045 041
NOx(%of caD)101%102%101%
Ha (thousand tons 2009-2023)0037 0036 0035
Ha (%of caD)67%66%64%
Market Purchases (10 Year)
PAC East (%of load)
PAC East Averaqe
.......___
E~g.Y'(~?.!. (~gfIQ1i!9L..___- - -.
...-.........-..-.-......-......-....-.....-.-......-...-.....-.....-----.---....................---.-....................................-.........--.-...----..-.----.---.-...-...
PAC West Averaqe
Market Sales
PAC East (% of owned Generation)7.4%
PAC East Averaqe MW 332 320 323
PAC West (% of owned Generation)14.4%14.14.
PAC West Averaqe MW 363 365 362
Unit Capacity Factors (2014)Existinq Coal East 83.8% 84.1 % 83.
----
~.!~!ir1gQ!~~E.
!='..~~j.._--_.__.................._-----------.----.-.- _._-_.._----_..._--~?,."!~...- _.._......_.._..__......____.._
2?:~"1~_-
----
92."1".......
..._
~tin p~1i!~~L!=~?~__-_......._............ ..-
..-.......---.----.... ....._-_..__..._-----"!~.. ......_--_.._-----_........_._.._.._....~~"!~-- -----------_____.
0,,!
~_...
IRP CCCT East 44.2% 44.1 % 44.
-.--...-......-.-.---..-.........-..-....-----.-.......-............ .....----..--..--...... ......-.-----..-..---..- ................--.-..-.---..-..---.......-.... ...-.....-..... .....---..............................--.-.---....... .--........-.----..-....--..--..-........---.....-.....-
IRP Coal East 91.0% 91.0% 91.IRP Peaker East 4.6% 4.5% 4.
Existinq CCCT West
Existinq Coal West
Existina Other West
IRP CCCT West
IRP Peaker West
24.
84.
90.
66.4%
24.
85.
90.
66.
26.
85.
90.
64.
East West Transfers
..-......
2004 East-West Transfer
............-..-....---.................!..!.~.'~~_..-............-.........
!J..4.J..
~~......._..._.__._._.._..._-_
Z!_.9...~.
!...........-.--..--..-.-.-.......--....---.-..-...-................--.-...........-......--......
2014 East-West Transfer
.....-.-....-........_-_...
?Q!_J~~-
...
~~.!.21Z....
...._._..._......_----
.!.~Q!?Q~.....-
-.--.......--....-................--.-.-.-...-....-.................-.-.--...........................................-.-.-.-....-...-......-.-.-.......-.-............--.....
Percent Increase/Decrease over 2004 104%116%101%
2004 West-East Transfer 042 596 043 992 042 596
2014 West-East Transfer 601 109 525,223 592 064
Percent I ncrease/Decrease over 2004 78%75%78%
- 295 -
Appx E Analysis Results
Table E.16 Stress: Decrement DSM - Diversified I
VALUE MEASURE Base ~ $40/MWh 1% 150 1% 300 10% 150
Present Value Rev. Req t (20 Year $000)313 159 272 972 12,238,010 232 334 197,848
Percent Greater Than Lowest NPV 769%8.414%105%055%750%
Incremental Net Variable Power Cost 349,474 309 288 346 167 340,491 365 197
Incremental Real Levelized Fixed Cost 773,460 773,460 701 618 701 618 642,425
DSM Real Levelized 190,225 190 225 190 225 190 225 190 225
!capital Cost (2002$-millions)158 158 I 102 I 102 I 004 I
Emissions (2004-2023 PVRR $000)750 896 627 21,301 256
CO2 (thousand tons 2009-2023)847 919 847,473 847 812 847 732 845,298
CO2 (% of cap)105%105%105%105%105%
802 (thousand tons 2009-2023)652 652 652 652 655
802 (% of cap)63%63%63%63%63%
NOx (thousand tons 2009-2023)046 046 047 047 050
NOx (% of cap)102%102%102%102%102%
Ha (thousand tons 2009-2023)0038 0038 0038 0038 0039
Ha (% of cap)69%69%69%69%71%
Market Purchases (10 Year)
PAC East (% of load)
PAC East Average MW
PAC West (% of load)
PAC West Average MW
Market Sales
PAC East (% of owned Generation)
PAC East Average MW 323 326 324 324 315
PAC West (% of owned Generation)11.11.11.11.11.
PAC West Average MW 304 305 304 304 307
Unit Capacity Factors (2014)
Existing Coal East
Existing Other East
Existing Peaker East
IRP CCCT East
IRP Coal East
IRP Peaker East
84.
92.
47.
91.
84.
92.
47.
91.
84.4%
92.
46.
91.
84.
92.
46.
91.
84.
92.
4.4%
50.
91.
Existina CCCT West 34.2% 32.5% 32.9% 32.8% 38.4%
._........._
E~l~t!.':1_f.C??!_IfI,f.
~~!.......__._._----_..._..._-........ ._..._._...._~~,
Q~~....... ..._................!!2..9..
"&... ........_._.....~~:
.QY-~..- .................._.
~...:
QY~.. ._---_........!3....
....__....
E~.i~!!~g..Othe.YY.~~.t........._._...__..._..-.
--......-..................-. ._-_......_
~Q,~......
.......................~....... ..................
~.Q'
~_.... ..._.._.
~.Q,~'r~...- ..._....._-_....g9_
~~~-.._..._....!~--
c:;.c:;_9-!
..__.._._._._._......._........................ ......... .__..
.--l?-,-
~"&.- .._._........,!?,~..- ...._..._.........??:..~.....___...??,
L"I.L ......__._..L?:'!"fo.......IRP PeakerWest 9.0% 9.1% 9.5% 9.3% 9.
East West Transfers
2004 East-West Transfer 800 806 800 800 800
2014 East-West Transfer 077 097 046 045 936
Percent IncreaselDecrease over 2004 135%136%131%131%117%
2004 West-East Transfer 902 938 902 902 902
2014 West-East Transfer 303 293 339 321 506
Percent Increase/Decrease over 2004 69%67%70%69%79%
- 296-
Appx E Analysis Results
Table E.16 Stress: Decrement DSM - Diversified I (Continued)
Present Value Rev.Req t (20 Year $000)998,743 876,743 11,320 508 305 234 279,601
Percent Greater Than Lowest NPV 991 %914%000%
-------
~Qg~--
--.----
8.47.?J!!..-
-........---...-....-..--..--..---.-.-..-...........-.-.................................-..-...------..------......-......-.-........-..--....--..------..-.---..---............................. ---..-.-.....-......-................--.-
Incremental Net Variable Power Cost 304 624 139 648
-_._
I..~~_~Q.
~......._.._~~!!~~~._-._.
~J_?-1~_
---....-......------..--.........-........---.-.-.-...-....--.......-.-....-..---..-----..-.-...--.....---.-.......-....--....-....-...--....-------.......-.-.-...-.
Incremental Real Levelized Fixed Cost 503 894 546,870 348 673 773,460 773,460
D8M Real Levelized 190,225 190 225 190 225 190 225 190,225
VALUE MEASURE 20% 300 40% 150 60% 300 10MW PV
10MW 60%
ETO
!capital Cost (2002$-millions)
Emissions 2004-2023 PVRR $000 4 217 24 573 65 572 21 517
CO2 thousand tons 2009-2023 838 913 835,181 827 236 847 873CO2 % of ca 104% 103% 102% 105%
802 thousand tons 2009-2023 655 652 647 652
--_.......
~Q?C'!~..2!.g~p-L._..._.......
..._----------_._.._--..--..-- ._............._.
~J!!......._---
!~_...- --.... .........~?~._....._..._--__
~~f~
---
!,:!Q.~(~I:!~~sand-.!Q~_.?'QQ~=?'Q?~t__.._-_.__..__.__._.- 1 ,049 .__._-_...&tlE_-
._--_.!.!~~._- ._._
.!.c~~--
_........_
t':!Q)(_(f~QLc;_!:Ipl._.._......._----------_....._...---..--....--.---1.9,?,"!.,,-.----______
.............._..__
01 o/~
-_.. -----~y~ ---
thousand tons 2009-2023 0.0039 0.0038 0.0037 0.0038
H % of ca 71 % 69% 67% 69%
821 I 867 I 669 158 I 158 I
20,404
847 631
105%
652
63%
----.-.--...-
04L
102%
0038
69%
Market Purchases (10 Year)
PAC East (% of load)
PAC East Averaae MW
PAC West (% of load)
PAC West Averaae MW
Market Sales
--_.~!-.g..
9~~(~_gf__Q~~~~--~!1.~~9-~ig~1......_
_._------_
...J5-,.~..."!.o
_- -_.._-_....._..~~- ____
I1-"!~_-
......._._-_
.2:_~J~.-
_._-_.._._.._
~/o
----
P A~E.9E.L~x~.g~IIA.YY..._...__...._..........._.._-_...._..--..---
---------
30L
.-....---._._
30L
-------
~ 16
--_._------~~- ------_.__.~?:
'L.
PACWest(% of owned Generation) 11.1% 11.2% 11.4% 11.0% 11.PAC West Averaae MW 311 311 315 305 306
Unit Capacity Factors (2014)
Existina Coal East 84.84.83.84.84.
Existina Other East 92.92.92.92.92.
Existina Peaker East 3.4%
IRP CCCT East 50.47.40.48.48.
IRP Coal East 91.91.91_91.91.
IRP Peaker East
---...-...-....--.--...--.-.-.-...........-......-...--....--......--.--.....-...-..--.--.........-...........-.-....--..-..--...........-....--..--.......-....-.-......------.---..-.-.....-..---.-..-.-.-.------............-....-.--.....................-..........----.---.-............-----....--.....---...-....--.-..-....--..-.--.......................-.........-------...--.---....-.....-................------.------....._.....__
E~l~!i':1g..g9g::LYY.~~L___-43.AQ.~.'l_..
........-......
35.32.
.-..-....
32.
...-............--.-.--......-.-....-......-.------.-.............-....-.--..---....-..-.---..----.--..-...
Existing Coal West 85.85.85.86.86.
Existing Other West 90.90.90.90.90.
IRP CCCT West 77.76.4%75.4%77.8%76.
IRP Peaker West
East West Transfers
2004 East-West Transfer 800 800 800 800 800
2014 East-West Transfer 902 978 148 086 068
Percent Increase/Decrease over 2004 113%122%144%136%133%
2004 West-East Transfer
..._...._-__..__
?Q~__-904
---_.._..__.._
~QA-902 ~Q.?_..-
------..-...-..................--.-----.........-.----.............-..-.....................---..-........-.....-------.-............-........------....-..-........-....--.....-..-.
2014 West-East Transfer
-.-...._._
-1!~Z~-_.616
_._---------!,"!.?:~--
1 ,311
-------------.?~~_...--..--....-----....-....-....--.--......................-.......-.....--------..--.....---.---.........-.-..--..........................-----.....-.........-..-..--.---...-----
Percent Increase/Decrease over 2004 88%85%78%69%68%
... 297 -
Appx E Analysis Results
Table E.17 Real Levelized Versus Nominal PV Versus Constant
Comparison Of Present Value Versus Constant Dollar Results And Capital Costs Calculated Using Real Levelized Versus
Nominal Revenue Requirements.
Results Based On Model Runs Prepared For Final Report.
(PVRR Results Are In Millions Of Dollars).
Present Value Results Constant Dollar Results Constant Dollar Results
Discounted at WACC Discounted at Escalation Rate 20-Yr Avera e $/MWh
w/ reallevelized w/ nominal (1)w/ reallevelized w/ nominal (1)w/ reallevelized w/ nominal (1)
4/112003 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003
PVRR PVRR PVRR PVRR PVRR PVRR
Discount Rate
Diversified I 313 12,895 21,684 22,369 $15.$15.
Diversified II 12,338 940 716 22.474 $15.$15.
Diversified III 360 12,926 21,757 22.457 $15.$15.
Diversified IV 395 871 21,855 22.405 $15.$15.77
Alternative Technoloqv II 559 12,974 22,180 583 $15.$16.
Coal/Gas III 12,651 13,141 300 955 $15.$16.
PacifiCorp Build - I 679 13,189 22,332 23,060 $15.$16.
Gas/Coal I 12,706 180 22,386 23,056 $15.$16.
Gas/Coal II 715 13,188 22,396 23,064 $15.$16.
Gas/Coal III 12,743 13,216 22.435 23,091 $15.$16.
PacifiCorp Build II 748 13,258 22.477 23,208 $15.$16.
Peakers 759 13,215 22.489 23,134 $15.$16.
Renewable 767 13,235 569 062 $15.$16.
Alternative Technoloav I 770 081 22.475 22,620 $15.$16.
All Gas II 865 13,251 706 23,219 $15.$16.
WyominG Coal 868 13,360 694 23,394 $15.$16.46
All Gas 1 12,889 264 739 23,225 $16.$16.
Coal/Gas II 908 13,317 771 23,264 $16.$16.
Coal/Gas I 12,910 368 22,759 23,336 $16.$16.41
Transmission - 1000MW DC 018 13,737 969 012 $16.$16.
Transmission - 2000MW DC 218 022 23,357 546 $16.43 $17.
Transmission - Asset Build Market 13,221 662 23.420 034 $16.48 $16.
Coal/Gas 111- 10%358 819 808 22.451 $15.$15.
Gas/Coal 1- 10%376 807 21,814 22.466 $15.$15.
PacifiCoro Build II - 10%531 13,019 22,129 875 $15.$16.
All Gas II - 10%576 934 220 723 $15.$15.
w/ reallevelized w/ nominal (1)w/ reallevelized w/ nominal (1)w/ reallevelized w/ nominal (1)
Percent above Least Cost Portfolio 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003 4/1/2003
PVRR PVRR PVRR PVRR PVRR PVRR
Discount Rate
Diversified I
Diversified II 0.2%
Diversified III 0.4%0.4%0.4%
Diversified IV
Alternative Technoloqv II
Coal/Gas III
PacifiCorp Build - I
Gas/Coal I
Gas/Coal II
Gas/Coal III 3.4%
PacifiCoro Build II
Peakers 3.2%3.4%3.4%
Renewable
Alternative Technoloqv I
All Gas II
Wvominq Coal
All Gas I
Coal/Gas II
Coal/Gas I 4.4%
Transmission -1000MW DC
Transmission - 2000MW DC
Transmission - Asset Build Market 7.4%7.4%7.4%
Coal/Gas 111- 10%0.4%0.4%
Gas/Coal I - 10%0.4%0.4%
PacifiCoro Build 11-10%
All Gas II - 10%2.4%
Capital fixed cost w/nominal revenue requirements are calculated under the traditional rate-making methodology.
These values do not include an adjustment for life end-effects. An adjustment would be necessary using nominal
capital revenue requirement because the depreciation lives of the new resources extend beyond the 20-year study period
- 298 -
Appx F Portfolio Load and Resource Balances
APPENDIX F - PORTFOLIO LOAD AND RESOURCE BALANCES
Table F.l Load Resource Capacity Report
Annual Coincident Peak Hour
Fiscal Year 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Total System Peak Obligation
Load East 267 354 5,468 621 733 875 000 069 267 333
Load West 711 831 727 792 843 290 338 3,459 3,456 572
Thermal East 209 209 209 203 187 944 944 943 767 661
Thermal West 376 376 376 376 376 129 129 129 129 129
Hydro East
Hydro West 170 231 230 143 147 180 180 149 145 952
Interruptible
Long Term Sale East 150)125)117)117)(867)(865)(792)(792)(792)(792)
Long Term Sale West (871)(686)(433)(433)(363)(373)(365)(355)(345)(290)
Long Term Purchase East 450 450 460 481 303 343 366 365 389 413
Long Tenn Purchase West 955 955 791 812 527 258 231 193 217 183
BPA Peaking 750 575 575 575 575 575 575 575
System Load 978 185 195 9,413 576 165 338 528 723 905
plus Firm Sales 021 811 550 550 230 238 157 147 137 082
less Interruptible (70)(70)(70)(70)(70)(70)(70)(70)(70)(70)
less Firm Purchases (1,405)(1,405)251)293)(830)(601)(597)(558)(606)(596)
Less BPA (750)(575)(575)(575)(575)(575)(575)(575)
Net Firm Obligations 774 946 849 025 331 157 253 9,472 10,184 10,321
Total Resources 833 894 893 800 788 335 335 299 119 820
Net Reserves w/o Additions (52)(225)(543)(822)(918)173)065)501)
Desired Planning Reserves 15%316 342 327 354 1,400 374 388 1,421 528 548
Desired Planning Reserves 10%877 895 885 903 933 916 925 947 018 032
Capacity Additions Required 15%257 394 283 579 943 196 306 594 593 049
Capacity Additions Required 10%818 947 841 128 1,476 738 843 120 083 533
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % ofTotal Obligation
790
849
Gas/Coal I
834 1 370 1 723 1 769 2 306 2 367 2 630 3,597 4 152
782 1,414 1 498 1 226 1,484 1,449 1,457 1 532 1 651
7% 16.0% 16.6% 13.1% 16.2% 15.7% 15.4% 15.0% 16.
Gas/Coall-10%
790 834 940 043 599 856 917 180 117 652
849 782 984 818 056 034 999 007 052 151
11.11.11.10.10.10.11.
Alternative Technology I
792 844 828 796 162 254 375 988 875 965
851 792 872 571 619 1,432 1,457 815 810 1 ,464
21.17.4%17.15.15.19.17.14.
- 299-
Appx F Portfolio Load and Resource Balances
Table F.l Load Resource Capacity Report (Continued)
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % ofTotal Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Gas/Coal II
790 834 370 693 739 306 367 630 667 152
849 782 1,414 1,468 196 1,484 1,449 1,457 602 651
16.16.12.16.15.15.4%15.16.
790
849
Wyoming Coal
834 1 370 1 693 1 739 2 306
782 1,414 1,468 1 196 1,484
7% 16.0% 16.3% 12.8% 16.
367 2 630 3 622 3,907
1,449 1,457 1 557 1,406
15.7% 15.4% 15.3% 13.
All Gas
790 834 370 723 769 306 367 630 602 157
849 782 1,414 1,498 226 1 ,484 1 ,449 1 ,457 537 656
16.16.13.16.15.15.4%15.16.
Peakers
790 834 370 653 699 266 327 590 627 212
849 782 1,414 1,428 156 1,444 1 ,409 1,417 562 711
16.15.12.4%15.15.15.15.16.
PacifiCorp Build - I
790 834 370 753 799 366 2,427 745 682 167
849 782 1,414 528 256 544 509 572 617 666
16.16.13.16.16.16.15.16.
Coal/Gas
790 834 320 593 214 271 332 595 667 152
849 782 364 368 671 1 ,449 1,414 1 ,422 602 651
15.15.17.15.15.15.15.16.
Gas/Coal III
790 834 370 693 249 306 367 630 897 152
849 782 1,414 1 ,468 1,706 1 ,484 1,449 1,457 832 651
16.16.18.16.15.15.18.16.
Coal/Gas
790 834 320 618 249 306 367 630 667 152
849 782 364 393 706 1,484 1 ,449 1,457 602 651
15.4%15.18.16.15.15.15.16.
790
849
Transmission 1000MW DC
834 1 370 1 273 1 319 1 951 2 012 2 275 3,197 3,552
782 1,414 1,048 776 1 129 1,094 1,102 1 132 1,051
7% 16.0% 11.6% 8.3% 12.3% 11.8% 11.6% 11.1% 10.
- 300 -
Appx F Portfolio Load and Resource Balances
Table F.l Load Resource Capacity Report (Continued)
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % ofTotal Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % ofTotal Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Transmission - 2000MW
790 834 370 273 319 951 012 275 197 552
849 782 1,414 048 776 129 094 102 132 051
16.11.12.11.11.11.10.
Transmission - Asset Build Market
790 834 370 693 739 276 337 600 502 057
849 782 1,414 1 ,468 196 1 ,454 1,419 1 ,427 1,437 556
16.16.12.15.15.15.14.15.
790
849
790
849
Coal/Gas III
1,498 1 894 2,461 2 522 212834370785657
782 1,414 1 273 1 351 1 639 1 604 1,612 1,592 1 711
7% 16.0% 14.1% 14.5% 17.9% 17.3% 17.0% 15.6% 16.
834
782
Coal/Gas 111-10%
068 1,464 2 031 2 092 2 355 3 227 3 682843 921 1 209 1 174 1 182 1 162 1 181
3% 9.9% 13.2% 12.7% 12.5% 11.4% 11.4%
940
984
7% 11.
All Gas II
790 834 370 723 769 306 367 630 602 157
849 782 1,414 1,498 226 1 ,484 1 ,449 1,457 537 656
16.16.13.16.15.15.4%15.16.
790
849
790
849
All Gas 11- 10%834 940 1 293 1 339 1 876 1 937782 984 1 068 796 1 054 1 019
7% 11.1% 11.8% 8.5% 11.5% 11.
200 3 172 3 627
027 1 107 1 126
10.8% 10.9% 10.
834 1 370
782 1,414
7% 16.
PacifiCorp Build II
783 1 829 2 366 2,427
558 1 286 1 544 1 509
17.3% 13.8% 16.9% 16.
745 3 382 4 167
572 1 317 1 666
16.6% 12.9% 16.
PacifiCorp Build II - 10%
790 834 940 043 599 856 917 235 072 837
849 782 984 818 056 034 999 062 007 336
11.11.11.10.11.12.
Diversified I
790 834 358 1,492 906 2,429 2,493 757 630 180
849 782 1,402 267 363 607 575 584 565 679
15.14.14.17.17.16.15.4%16.
- 301 -
Appx F Portfolio Load and Resource Balances
Table F.l Load Resource Capacity Report (Continued)
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Portfolio:
Portfolio Resource Additions
Net Reserves (MW)
Net Reserves % of Total Obligation
Diversified
790 834 358 747 811 334 398 717 655 135
849 782 1 ,402 522 268 512 1 ,480 544 590 634
15.16.13.16.16.16.15.15.
Diversified III
790 834 358 1,717 781 274 338 2,402 570 120
849 782 1,402 1,492 238 1,452 1,420 229 505 619
15.16.13.15.15.13.14.15.
792
851
Alternative Technology II
398 1 876 2 012 2,219 2 340
1,442 1 651 1,469 1 397 1,422
16.3% 18.3% 15.7% 15.3% 15.4%
738 3 655 4 045
565 1 590 1 544
16.5% 15.6% 15.
844
792
Diversified IV
790 834 358 1,492 841 334 398 662 535 085
849 782 1,402 267 298 512 1 ,480 1,489 1,470 584
15.14.13.16.16.15.14.4%15.4%
790
849
Renewable
834 1 370 1 823 1 869 2 521 2 582 2 945 3 802 4 057
782 1,414 1 598 1 326 1 699 1,664 1 772 1 737 1 556
7% 16.0% 17.7% 14.2% 18.6% 18.0% 18.7% 17.1% 15.
- 302 -
Appx G - Demand Side Management
APPENDIX G - DEMAND-SIDE MANAGEMENT
Demand-side management (DSM) provides an important component in PacifiCorp
commitment to becoming an increasingly sustainable utility business. DSM is defined as
activities or programs that promote electric energy efficiency or conservation or more efficient
management of electric energy loads. Essentially those efforts that reduce customer energy
consumption and clip or shift loads from peak to off-peak hours through permanent equipment
changes, short-term financial offers, education and awareness, behavioral changes, or utility
dispatch (direct load control). PacifiCorp s definition of DSM includes programs that are also
commonly called energy conservation, load management, load curtailment, demand-side
resources, energy efficiency and demand response.
CLASSES OF DSM
The various types of DSM programs vary with their dispatchability, firmness of results, term of
load reduction benefit and persistence over time. To clarify the conversation around DSM, these
programs have been divided into four general categories:
Class 1 - Fullv Dispatch able Resources
Load reduction only occurs while being actively controlled by the utility. Once customers agree
to participate in a Class I DSM program, the timing and persistence of the load reduction is
involuntary on their part. This type of DSM could affect business economic output.
Examples include residential and commercial central air conditioner load control, irrigation load
control electric water heater load control and interruptible tariffs (facilitated by
underfrequency relay or other utility control system).
Class 2 - Non Dispatchable: Growth Neutral
Energy and/or capacity savings that have been achieved through a technological change in
appliances, equipment and/or structures. Savings will endure for the life of the installed system.
This type of DSM does not negatively affect business economic output.
Examples include programs that incent customers to replace existing (or upgrade in new
construction) customer-owned equipment to more efficient lighting, motors, air conditioning
systems, etc. Program examples include PacifiCorp s Energy FinAnswer and the Compact
Fluorescent Giveaway.
Class 3 - Non Dispatchable: Buvdown
Short duration (hour by hour) energy and/or capacity savings that are achieved through actions
taken by customers voluntarily, based on a financial incentive provided by PacifiCorp with hour-
by-hour load reduction results measured on an individual customer basis. This type of DSM
could negatively affect business economic output. Load reduction endures only for the duration
in hours, of the incentive offering. Permanent facility/equipment changes or improvements are
- 303 -
Appx G - Demand Side Management
not made. There is no persistence in the load reductions. Examples include Energy Exchange
and curtailable tariffs.
Class 4 - Non-Dispatchable: Conservation Education
Energy and/or capacity reductions achieved through behavioral changes. Specific program
results cannot be relied upon for planning purposes. Long-term, persistent changes will be seen
in historical load growth pattern changes over time. Examples include Power Forward, Customer
Energy Challenge, public education and awareness programs that promote energy-reducing
methods such as conservative thermostat settings, turning off appliances when not in use, and
inverted block and time-of-use pricing structures.
MODELING DSM
Because of the varying characteristics of the different classes of DSM, each are treated
differently when modeled for the IRP.
Class 1 programs are dispatchable and are therefore modeled in a similar fashion to a peaking
plant.
Class 2 DSM is being modeled as decrements (reductions) to the load forecast. Running the IRP
model with and without these DSM decrements results in a difference in the present value of
revenue requirements (PVRR) for that IRP Portfolio. This difference is the decrement value
obtaining the DSM decrement. If the cost of running the DSM programs in a particular
decrement is less than the decrement value, then they are cost effective to the PacifiCorp system.
The decrements to load do not need to be adjusted for transmission and distribution line losses
since the load decrement is assumed on the load side of the utility meter. The decrement will
also reduce the requirement for reserves and would reduce the modeled emissions costs of any
fossil fuel generation that is displaced.
Class 3 DSM is modeled much as the Class 1 DSM is modeled because it is a short-term
reduction in peak, however, because the customer controls the load reduction and can decide to
ride through the curtailment by paying an economic penalty, this Class of load reduction is less
reliable and therefore has less planning value than Class I DSM.
An appropriate amount of Class 4 DSM (education) will be included to support implementation
of Class 1-3 programs, as well as enhance customer knowledge of the efficient use of electricity.
The effects of Class 4 efforts will be seen in the historical load growth and load shape changes
over time.
Class 1 DSM - Direct Load Control
The proposed program is the direct load control of central electric air conditioners of residential
and small commercial customers. The location is the Wasatch Front in Utah where the growth of
central electric air conditioners (CAC) in new construction and the conversion of swamp
(evaporative) coolers to CAC is causing the peak demand to grow much faster than the general
growth in energy usage.
- 304 -
Appx G - Demand Side Management
Because PacifiCorp has limited experience with direct load control, the proposed program would
be contracted out to an experienced, national firm on a pay-for-performance basis. PacifiCorp
will only pay for proven demand reduction. PacifiCorp projects participation from more than
100 000 customers within 3 years. This would result in a maximum load reduction capability of
91 MW on the load side of customer meter. This is roughly equivalent to 100 MW at the
generator level (adjusting for line losses).
The costs would consist of capacity payments and energy payments (for curtailment hours). This
Class 1 DSM is put in all Portfolio model runs and will dispatch when costs are below generation
alternatives.
Because of SB1149 in Oregon that created the Energy Trust of Oregon (ETa), PacifiCorp will
be transferring management of the current utility programs to that organization. The public
purpose charge to customers will fund existing and new DSM programs in Oregon for
PacifiCorp s customers. The load forecast in the IRP contains the assumption that DSM in
Oregon will be maintained at historical levels. As the ETa gets new programs designed and
implemented, these new DSM "decrements" to the load forecast can be accommodated in future
IRPs.
Class 2 DSM - Conservation Measures
There are a number of existing and proposed Class 2 DSM programs are under consideration.
PacifiCorp is using the decrement to the load forecast approach to determine their value.
Guidance for this decrement approach came from Costing Energy Resource Options: An
A voided Cost Handbook for Electric Utilities by the Tellus Institute , September 1995. It would
be ideal to run each program as its own decrement to the load forecast to determine a value for
each program. However, individual programs are too small in scope to delay the construction of
a needed supply-side resource. Therefore, large decrements are made in order to capture the
benefits in delaying capital expenditures needed for new supply-side resources.
First, PacifiCorp in partnership with some external stakeholders, analyzed the current and
proposed programs and determined a levelized cost per MWh for each program and ranked them
into a resource stack of DSM programs. Figure G.1 shows a schematic of what this DSM
resource stack may look like.
- 305 -
Appx G -- Demand Side Management
Figure G.l Class 2 DSM Program Resource Stack (1)
Each letter represents a DSM program in a state. The X-axis represents the cumulative MWa of
the programs. The Y-axis represents the levelized $/MWh of each program.
Program
Cost per
MWh
H I
MWa
Figure G.2 Class 2 DSM Program Resource Stack (2)
A cost per MWh was chosen to divide the programs into two decrement blocks.
$xx MWh ------__--h_nn_------__-------------------
Program
Cost per
MWh
H I
MWa
- 306 -
Appx G - Demand Side Management
Figure G.3 shows the actual resource stack for the identified current and proposed DSM
programs; program data listed in Table G.l. Each bar on the graph represents a DSM program in
one state. The height of each bar represents the evaluated levelized cost per MWh of the DSM
program.
Figure G.3 Class 2 DSM Levelized Costs - Actual DSM Program Resource Stack
200
180
160
140J: 120
100
.....
MWa
Those programs analyzed with levelized costs below $39/MWh have been included as a
decrement to load for all IRP portfolio model runs. These MWa figures represent the load
reduction on the customer side of the meter. These figures would need to be grossed up for line
losses (which vary for each customer class) to get the equivalent reduction at the generator level.
The effect of accounting for line losses would reduce the $39/MWh figure to about $36/MWh.
This figure compares favorable to supply-side generation costs. This resource accumulates to
more than 150 MWa on the load side of the meter by 2013, equating to more than 165 MWa at
the generator. Each program has been given an hourly annual energy savings load shape for
each state for the duration of the energy savings measure. Therefore, the two decrements
designed above have a 20-year hourly shape.
- 307 -
Appx G - Demand Side Management
Table G.t DSM Resource Stack.
In order of ascending levelized costs per MWh.
Program First Year First Year Life Cumulative Levelized CostStateSavingsMWa $/MWa
(1)Cost
(y)
MWa ($/MWh)(MWh)
. ..
CPN 250 000 3770 0.43 0.43 580 902
CFL 000 631 694 136
CFL 200 000 610 1.44 1.94 833 624
115 125 000 570 $ 1 500 000
116 600 000 504 0.40 $ 1 500 000
115 495 000 891 3.42 $ 1 500 000
116 495 000 891 $ 1 500 000
115 240000 1401.6 0.16 $ 1 500 000
116 240000 1401.6 $ 1 500 000
116 000 000 520 $ 1 500 000
115 390 000 278 $ 1 500 000
CFL 550 000 590 861 896
125 288 000 577 $ 1 600 000
116 400 000 190 0.25 7.40 $ 1 600 000
125 600 000 760 1.00 8.40 $ 1 600 000
125 800 000 230 12.$ 1 600 000
125 544 000 978 12.$ 1 ,600 000
CFL 450 000 160 0.47 13.46 947 596
CFL 100 000 528 16.986 486
WEB 300 000 800 16.$ 1,460 000
CAC 958,642 643 18.$ 1 965 522
WEB 000 240 18.$ 1 825 000
CAC 277 000 988 0.11 18.$ 2 455 992
CAC 672 969 399 19.$ 2 457 361
FRIG 247 000 166 1.73 20.$ 1 297 885
WEB 000 200 21.00 $ 2 190 000
FRIG 382 000 062 0.24 21.$ 1 622 852
FRIG 548 640 791 21.55 $ 1 721 994
FRIG 342 400 1309 21.70
......
. 52.18 $ 2 291 386
HVAC 770 000 380 21.86 55.$ 4 887 826
LlWX 800 000 000 21.97 6633 $ 7 008 000
RCX 266 000 495 22.125.46 $ 4 707 394
LIWX 000 22.129.$13 687 500
LlWX 100 000 22.138.$14 600 000
ESP 654 000 357 22.181.18 $16 047 731
ESP 100 22.181.18 $16 047 731
(1) CPN-Coupon for CFL, CFL - Compact fluorescent giveaway, 115 - Small Retrofit, 116 - Large Retrofit, 125 -
FinAnswer, WEB - Web Audit, CAC - High Efficiency CAC, FRIG - Appliance Recycling, HV AC - AC Best
Practices Service, LIWX - Low Income Weatherization, RCX - Retro Commissioning, ESP - Energy Star
Appliance
- 308 -
Appx G - Demand Side Management
Figure GA shows the approximate load shape of this first DSM decrement over the 20 year IRP
planning horizon.
Figure G.4 DSM Class 2 Hourly Load Decrement
180
160
140
120
100
2003 2011 2017 2023
Once the final one or two finalist IRP portfolios were identified, the second DSM decrement
portfolio model run was completed (identified programs with levelized costs greater than
$39/MWh).
Additional Planning Decrements
To determine the decrement values specific to the PacifiCorp system for further Class 2 DSM
resources, two additional "planning" decrements of 150 MW and 300 MW beginning in FY 2008
were run. The 150 MW decrement was shaped with load factors of 1 %, 10% and 40%. The 300
MW decrement was shaped with load factors of 1 %, 20% and 60%. These six additional model
runs give us the decrement values for these six different load decrements to the final IRP
Portfolio. With this information, PacifiCorp will be able to seek appropriate additional DSM
programs that match the indicated load shape within the decrement values identified.
Class 3 DSM - Curtailment
Proposed interruptible and curtailable tariffs are being designed to offer to customers with loads
greater than 1 MW and a load reduction commitment of at least 200 kW. The target market for
these tariffs will come from Energy Exchange participants. With the Energy Exchange
customers could not predict any income from their ability to curtail load when needed on the
PacifiCorp system. With these proposed tariffs, customers would commit to a load reduction
level and receive a capacity payment for this curtailment "option" PacifiCorp would have. The
customer would also receive an energy payment for actual curtailment hours. A penalty would
be invoked for customers who do not curtail as contracted.
- 309 -
Appx G - Demand Side Management
This Class of DSM is modeled in a similar fashion as Class I , much like a peaking unit
however, because the customer has ultimate control of the curtailment, and could "buy through"
by paying the penalty, it has less planning value as a resource to PacifiCorp.
DSM Summary
Table G.2 provides a summary of the DSM by Class.
Table G.2 DSM Summary
MW at Load MW at Generator
Class 1 CEC Load Control 91 MW peak 100 MW peak
Irrigation Load Control 50 MW peak 56 MW peak
Class 2 Installed Measures 150 MWa 160 MWa
Planning Decrements 150-300 MWa 160-320 MWa
Class 3 Curtailment 50 MW peak 52 MW peak
Potential Total 150-450 MWa 160-480 MWa
191 peak MW 208 peak MW
Table G.3 shows the latest projection from the Energy Trust of Oregon. It shows their expected
contribution to the PacifiCorp service territory Class 2 DSM accomplishments.
Table G.3 Energy Trust of Oregon Projected DSM Achievements (MWa)
DECREMENT PROCEDURE TO DETERMINE DSM DECREMENT VALUES
Some low cost Class 2 DSM programs were inserted in all IRP portfolios based on a low
levelized cost per MWh that is comparable to new generation resource options. All programs
with evaluated costs less than $39/MWh at the load were included in this decrement to the load
forecast. This allows for a base of DSM in all IRP portfolios.
Additional DSM decrements are made with hourly modeling of identified DSM program
opportunities. Planning decrements are created with hourly load shapes based on identified end-
use characteristics to mimic the potential load shape of new DSM programs based on those or
similar end-uses.
Through the IRP modeling process, the preferred generation portfolio is selected balancing new
generation and associated transmission costs (NPVRR) with an assessment of the financial and
operating risks. The additional planning decrement study is performed using this most likely
portfolio of mix of resources, yielding an improved assessment of DSM value.
- 310-
Appx G - Demand Side Management
New model runs are then made on the chosen additional load decrements (MWa) and selected
load factors. Table GA illustrates the combinations of load and load factors to represent a large
range of potential DSM opportunities selected by PacifiCorp for this IRP:
Table G.4 DSM Load Decrement Summary
Decrement Decrement Peak Load End-Use
Name Description Factor
P40 Identified programs Combination of all
.:::$39/MWh programs III
decrement
P40+Identified programs Com,bination of all
?$39/MWh programs III
decrement
D150-150 MW 150 MW Direct load control -
100 hours/yr at peak
D150-150 MW 150MW 10%Residential air
conditioning
D 150-150 MWa 375 MW 40%Commercial lighting
D300-300 MW 300 MW Direct load control
D300-300 MW 300 MW 20%Commercial air
conditioning
D300-300 MWa 500 MW 60%Near the system load
factor
D- P40 was reduced from the load forecast for all portfolios beginning the first year of the study,
FY 2004. The other decrements were implemented as of April 2008 (fiscal 2009) with the
assumption that programs will take several years to build to the volumes in this study. The
purpose is only to value them at their full impact, when they will be most likely to impact
resource planning decisions.
Decrement Procedure
1. Each decrement will result in a new Portfolio run.
2. An hourly representative program shape will be created for each decrement with the
following characteristics. All decrements include an additional 8.5% reduction to account for
average distribution line losses included in the load forecast.
P40+: The hourly shape of this combination of programs was created by Quantec
based on program design information supplied to them by PacifiCorp. The
decrements for each program were combined by State, resulting in five hourly
total program shapes, extending over the 20-year life of the study. Subtracting
the program shapes from the base load shapes creates five new load shapes.
One for each load center.
D150-AlSO MW load reduction is made to the Utah Main load center for 4-6 hours
per day during the super peak of 16 days per year. This pattern represents a
dispatchable AIC load control program. Customers will not be subject to AC
control for more than six hours at a time. The load shape used for modeling
- 311 -
Appx G - Demand Side Management
this program was created by first ranking the hourly loads for July and August
and then selecting the top 88 hours. For each of the selected hours, 150 *
085 (assuming 8.5% distribution load losses included in lo'ad forecast) was
subtracted from the Utah Main load file. Some manual adjustment was
necessary to ensure that a maximum of 6 continuous hours was selected. This
hourly program pattern is then repeated for each of the 20 years of the study,
assuming the load forecast follows a similar hourly pattern each year.
D150-10 A 150 MW peak load reduction is made, prorated to load centers by share of
total system retail load and given an hourly shape matching residential air
conditioning supplied by Quantec with a load factor of 10%.
D150-40 A 150 MWa load reduction is made (375 MW peak), prorated to load centers
by share of total system retail load, and given an hourly shape matching
commercial air conditioning supplied by Quantec with a load factor of 40%.
Same as D150-1 except a larger load reduction. A 300 MW load reduction is
made to the Utah Main load center for a maximum of 6 hours per day during
the super peak on 16 days per year.
D300-20 A 300 MW peak load reduction is made, prorated to load centers by share of
total system retail load and given an hourly shape with a 20% load factor
matching commercial lighting supplied by Quantec.
D300-60 A 300 MWa load reduction is made (500 MW peak), prorated to load centers
by share of total system retail load, and given an hourly shape matching the
load center load shape which approximately has a 60% load factor
3. Each of the seven decrement program load shapes above represent a unique adjustment to the
load forecast. Each shape is then split among five load centers in the model based on the
ratio of area load to total load and is subtracted from the existing load shape to create a new
hourly load forecast. The exceptions to this shape split are the 1 % load factors, which are
only applied to the Utah load shape. Oregon is not included in the total system load
calculation since future DSM programs will be developed by the ETO. Table G.5 gives
details of the distribution by load center.
D300-
Table G.5 DSM Program Distribution by Load Center
Program Distribution by Load Center
Idaho
Utah 58.4%
Mid Columbia 9.4%
West Main 10.2%
Wyoming 17.
TOTAL 100%
4. Since these decrements can have a substantial impact on annual peak load, which is the basis
for resource capacity planning, a revised load/resource balance must be produced for all
decrement runs except for DP40+. The 40+ programs are not of great enough magnitude or
frequency to displace or shift the timing of new generation and therefore do not require an
adjusted resource portfolio. Although D 150-1 and D300-1 are dispatched for only 1 % of all
peak hours in the year, it's assumed that installation of an East peaker could still be delayed
- 312 -
Appx G - Demand Side Management
since in our load forecast, the peak obligation declines when 150 - 300 MWs is removed for
just 1 % of hours. In 2004 modeling results, Gadsby and West Valley GTs run with a 2-
capacity factor.
5. For those decrements with revised L/R balances and new peak annual demands, the
Diversified I resource mix will be adjusted to more closely meet the gap of the new load
shapes. This step will create 4 new portfolios using the same methodology as the main IRP
portfolio development process.
6. Run the PROSYM model for all seven new load shapes with either the base Diversified I
portfolio mix or the new resource portfolios to get a revised PVRR, depending on Steps 4
and 5.
7. Develop a Decrement Scorecard highlighting the differences in PVRR and other relevant
value measures.
The difference in PVRR of the various decrement runs is the net present value of decrement
values of implementing DSM programs that match the indicated hourly load reduction for each
decrement. These become DSM targets to find programs that can fill them within the decrement
values calculated by the model.
The decrement values consist of the modeled value of displaced fuel, pollutants not emitted and
capital investment (generation and associated transmission) delayed or eliminated.
Results
Portfolio Assignment
All DSM decrement runs were compared to the performance of the Diversified I portfolio which
contains the resources outlined in Table G.5 below. D-P40 is the equivalent of this portfolio. D-
P40+, also contains the same resource mix but the individual program shapes reduce the load
files accordingly (i., they don t allow deferral of new generation additions, but they do reduce
operation of peak generation.) The average planning margin for years 2009 to 2013 for this
resource mix is 16%.
Table G.6 Base Resources
Portfolio Diversified Gas/Coal I -2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
P40+, Dl50-, D300-MWs
East Thermal Contract (installed 175capacity in MW)
Class 1 DSM (load control
- peak MW capability)
Class 2 DSM (MWa added 123each year)
Wind (installed capacity in 200 200 200 120 720MW)
Super Peak Contract 225 225
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)510 510
Peakers (Mona, SCCT 200 200Frame)
- 313 -
Appx G - Demand Side Management
East Market (Short Term)500 500
Reserve Peakers (East)200 300 500
3374
West Thermal contract (installed 175capacity in MW)
Class I DSM (load control
- peak MW capability)
Class 2 DSM (MWa added
each year)
Wind (installed capacity in 100 200 200 200 700MW) .
Flat Contract (7X24)200 200
Year Flat Off-Peak 500 500
PeaIGng Contract 100 100
CCCT (Albany)570 570
West Market (Short Term)500 500
Reserve Peakers (West)230 230 460
2227
New Portfolio Deshw
New portfolios were designed for the remaining four decrements using the process outlined in
Chapter 4. Since the programs are mostly located in Utah, Idaho, and Wyoming due to weighting
to load percentage , only East side resources were impacted for these portfolios. The West Side of
the portfolio remains unchanged from the Diversified Portfolio I mix. In the East, the new load
shape affected the planning process in different ways, making it difficult to methodically
remove, reduce or move resources and retain the identical planning margin each year. Only three
resource types were adjusted in each of the new portfolios, either the Gadsby Repower CCCT at
Mona peakers, or Reserve Peakers East. By adjusting only similar resources in each portfolio
the results are thought to be more comparable. For example, if one portfolio removed Hunter 4
and another removed the CCCT; it would be very difficult to draw relative system PVRR
impacts driven by the load adjustment. This study is created to show how these varying load
reductions can impact the resources PacifiCorp chooses and what the cost tradeoffs are for
achieving these resource changes.
D150-
This shape reduced annual peak load by 150MW in the summer months and increased the length
of PacifiCorp s position report in the East. By 2009, there is the potential to reduce the Gadsby
Repower CCCT 2Xl 5100 MW with duct firing to a lxl of255MW and maintain an average of
15.5% planning margin for 2009-2013. Table G.7 shows the revised portfolio make-up.
Table G.7 D150-10 East Resources
Portfolio D150 - 10 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
MWs
East Thermal contract (installed 175capacity in MW)
Class 1 DSM (load control -
peak MW capability)
Class 2 DSM (MWa added 123
- 314 -
Appx G - Demand Side Management
each year)
Wind (installed capacity in 200 200 200 120 720MW)
Super Peak Contract 225 225
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)255 255
Peakers (Mona, SCCT 200 200Frame)
East Market (Short Term)500 500
Reserve Peakers (East)200 300 500
3119
D300-
This shape reduced annual peak load by 300MW in the summer months and greatly increased the
length of PacifiCorp' s net position in the East. The Gadsby Repower CCCT of 51 OMW can be
eliminated from the near term planning horizon as long as the two Mona SCCT frame peakers
each 100MWs, are moved forward one year to 2012. This mix results in a 2009-2013 average
planning margin of 15.2%. Table G.8 shows the revised portfolio make-up.
Table D300-20 East Resources
Portfolio D300 - 20 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
MWs
East Thermal contract (installed 175capacity in MW)
Class 1 DSM (load control-
peak MW capability)
Class 2 DSM (MWa added 123each year)
Wind (installed capacity in 200 200 200 120 720MW)
Super Peak Contract 225 225
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)
Peakers (Mona, SCCT 200 200Frame)
East Market (Short Term)500 500
Reserve Peakers (East)200 300 500
2864
D150-
This shape reduced annual peak load by 375MW in the summer months.. The Gadsby Repower
2x1 CCCT of 5100MW was removed and the two Mona SCCT frame peakers each 100MWs
were moved ahead to 100MWs in 2010 and 200 in 2012. The 2009-2013 average planning
margin is 16%. Table G.9 shows the revised portfolio make-up.
- 315 -
Appx G - Demand Side Management
Table G.9 D150-40 East Resources
Portfolio D150-2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
MWs
East Thennal contract (installed 175capacity in MW)
Class 1 DSM (load control-
peak MW capability)
Class 2 DSM (MWa added 123each year)
Wind (installed capacity in 200 200 200 120 720MW)
Super Peak Contract 225 225
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)
Peakers (Mona, SCCT 100 200 300Frame)
East Market (Short Tenn)500 500
Reserve Peakers (East)200 300 500
2964
D300-
This shape reduced annual peak load by 500MW and had a large impact on the resource
portfolio. The Gadsby CCCT as well as the 200MW of Mona peakers were removed from the
portfolio without reducing the planning margin which averages higher than the other portfolios at
16.1%. East reserve peakers could also be delayed to 100 MW in 2008 and 300MW in 2013.
Table G.10 shows the revised portfolio make-up.
Table G.I0 D300-60 East Resources
Portfolio D300 - 60 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total
MWs
East Thermal contract (installed 175capacity in MW)
Class 1 DSM (load control -
peak MW capability)
Class 2 DSM (MWa added 123each year)
Wind (installed capacity in 200 200 200 120 720MW)
Super Peak Contract 225 225
Coal Base Load (Hunter 4)575 575
CCCT (Mona)480 480
CCCT (Gadsby Repower)
Peakers (Mona, SCCT
Frame)
East Market (Short Term)500 500
Reserve Peakers (East)100 300 400
2564
- 316-
Appx G - Demand Side Management
D150-, D300-
These shapes reduced annual peak load by 150 and 300MW for 1 % of the top demand hours in
each year. One 100MW East reserve peaker was removed from 2006 for each of these model
runs.
Decrement Case Comparison
Table G.ll shows the nominal results of these decrement cases for each year of the planning
period. The 1 % load factor cases only show the nominal dollar value of that type of DSM
program option. Comparing costs per MWh are not meaningful because of the extremely low
load factor resulting in extremely low energy. One percent decrements have a capacity deferral
objective rather than an energy and capacity deferral. The higher load factor cases have
significant capacity and energy benefits and are displayed with their nominal values per MWh of
decrement.
Transmission and Distribution Deferral Benefits
The decrement values in Table G.11 do not include the time value of deferred transmission or
distribution costs that result from demand growth. Specific evaluation of these benefits are not
included in this IRP. These types of benefits are geographically specific, based on the local
T &D system growth rate and the local, concentrated effects of DSM programs. PacifiCorp is not
applying a general, systemwide transmission and distribution savings. Specific investment needs
must be indentified for deferral just as this IRP identified specific generation investment that the
DSM decrements could defer if implemented. As specific programs are designed, local T &D
benefits will be considered if they can result is the deferral of identified transmission and
distribution investment.
- 317-
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8
-
Appx H Risk Assemssment Methodology
APPENDIX H - RISK ASSESSMENT METHODOLOGY
INTRODUCTION
This paper describes PacifiCorp s approach for assessing risk and uncertainty in its Integrated
Resource Plan analysis. The paper focuses on the development of volatility and correlation
parameters for important electricity market drivers.
BACKGROUND
Performing analysis of the cost of electricity supply under an assumption of expected conditions
in the future provides important information for decision makers regarding how different supply
portfolios perform. However, decision makers are also interested in performance of these
portfolios under influences that vary from expected. Of particular note for PacifiCorp are the
following uncertainties:
Load
Retail load (or firm load obligations) can vary significantly in the short term due primarily to
temperature fluctuations in the PacifiCorp service territory. An examination of historical daily
load provides insight into how these loads might vary from day to day in the future. Over the
longer term, economic conditions and technological changes have a significant effect on load
growth rates.
Natural Gas Price
Natural gas prices have exhibited significant volatility in recent years. An examination of
historical daily natural gas prices provides insight into how these natural gas prices might vary
from day to day in the future. Longer-term uncertainties relate to the supply and demand for
natural gas as an energy stock.
Spot Market Power Prices
Spot market electricity prices affect portfolios through the dispatch of PacifiCorp generation
assets. When spot prices are low, it may be economical to displace some of PacifiCorp s mid-
merit generation. When spot prices are high, it may become economical to operate coal and
natural gas resources at levels higher than needed to cover firm obligations, contributing
revenues that reduce system electricity costs. An examination of historical daily spot market
electricity prices provides insight into how these prices might vary from day to day in the future.
Longer-term market price trends are uncertain due to general economic conditions and general
supply and demand for generating resources. These longer-term trends can have a significant
effect on the value of competing portfolios as well.
H vdro1!eneration
Hydrogeneration makes up a significant portion of PacifiCorp s existing resource portfolio.
History demonstrates that the amount of generation will vary from time to time as a result of
- 319-
Appx H Risk Assemssment Methodology
different precipitation levels. An examination of historical hydro generation data (both daily
changes demonstrated by actual operation and longer-term changes reflected in hydrogeneration
regulation models) provides insight into how hydro generation may vary in the future.
Generation Forced Outa2e
It is well understood that generation units are taken out of service from time to time as a result of
unanticipated problems (forced outage), and the random nature of this aspect of generation must
be accounted for in any portfolio analysis
While the operation of the PacifiCorp system in meeting its load is a traditional economic
dispatch activity, any forecast of system operation must take into account the varying nature of
these variables, as each of these drivers is directly related (and correlated) to the price and
volatility of electricity. Differences in makeup of potential portfolios will therefore necessarily
result in different expected outcomes depending on the nature of the volatility of these key
parameters.
PacifiCorp s analysis of potential supply portfolios attempts to look at the possible future
performance of each portfolio under uncertainty. Currently, PacifiCorp is performing its
assessment of portfolios with Henwood'PROSYM and MarketSym products on both a
deterministic and stochastic basis. Deterministic forecasts are based on the expected value of all
input parameters, whereas stochastic assessments include specific volatility and correlations
among parameters.
The analysis of uncertainty in outcomes is achieved through "Monte Carlo" (random or
stochastic) selection of electricity system variables effecting the dispatch and operation of the
PacifiCorp electricity system. The distributions and inter-relationships of the random variables
are derived from the historical behavior of loads, natural gas prices, spot electricity prices, and
hydrogeneration.
STOCHASTIC ANALYSIS MODEL AND ASSUMPTIONS
Stochastic Model
PacifiCorp s analysis is being performed with the following stochastic variables:
Fuel prices (natural gas at MidC and two natural gas prices in Utah)
Electricity market clearing prices (MidC , COB, Four Comers, and PV)
Electric transmission area loads (PacifiCorp-West, Wyoming, and Utah regions) and
Hydrogeneration basins (PacifiCorp West and PacifiCorp East).
The development of expected value and stochastic parameters for this analysis is discussed
below.
Henwood's stochastic analysis uses the modeling capability of the MarketSym and PROSYM
stochastic module. In this process an expected value trajectory for each price or physical
variable and a set of stochastic model parameters are developed and entered by the user, using
- 320 -
Appx H Risk Assemssment Methodology
stochastic data input tools. During execution, Monte Carlo simulation is performed with daily
random draws for average daily values for prices and loads and weekly random draws for
hydro generation energy availability. Within each week, generation units are committed and
dispatched as if they have perfect foresight of stochastic values for that week only.
Two-Factor Lo2normal Mean-Reversion Model
The stochastic model used in PacifiCorp s analysis is a two-factor, lognormal mean-reversion
model. One factor represents short-run variations that are mean reverting, and the other factor
represents longer-term variations that follow a random walk. Mean reversion implies that after a
price is initially disrupted (higher or lower), it will tend to revert back towards its expected value.
The rate at which the random variable tends to revert to the expected value is an input to the
process. Separate volatility and correlation parameters are used for modeling short-run price
variations (e., uncertain weather or outages) and longer term price variations (e., uncertain
fuel supply costs, load growth, or hydro generation year). Antithetic sampling is used to reduce
sampling variance.
The stochastic two-factor lognormal mean reversion model:
1. Simulates a general stochastic process capable of representing fuel prices, electricity prices
electric loads, and hydrogeneration energy availability.
2. Uses an expected forecast as an equilibrium value for each time period.
3. Uses two distinct stochastic factors for each stochastic variable - for short-term and longer-
term variations.
4. Assumes a lognormal distribution for each stochastic factor.
5. Allows contemporaneous correlation among all , some, or none of the input and output prices.
6. Allows use of seasonal and annual volatility and correlation parameters, with short-term
reversion to mean, to handle cyclical patterns of energy commodities.
The specific discrete time representation of the model is:
t-l t-l +a t (L (J";- Vm:fS )/ 2
((J";)2
/2 + (J";
) =
COV = 0 = 0t n t n t n
E(e;t 'e;)=COV~/,t :;t0~ P;n,t :;tO
Cov;"n :;t 0 :;t 0
(1)
(2)
(3)19
(4)
(5)
19 Assuming zero correlation between the long and short-run stochastic changes is a simplifying assumption.
However, this assumption represents movements in the stochastic variable that we would expect to observe in a real
market situation. It is justified both by the unavailability of quantitative data from which to estimate a correlation
either positive or negative, between short-run shocks and long-run shocks and by the structure of the model in which
short run shocks to the stochastic variable apply to deviations from the value of the long run distribution.
This assumption assures that positive (upward) short-run spikes in the value of the stochastic variable are
statistically independent from positive (upward) trends in the long-run equilibrium value of the stochastic variable
and vice versa. Relaxing this assumption could lead to model (parameter) induced bias in the resulting value of the
stochastic variable.
- 321 -
Appx H Risk Assemssment Methodology
Where:
= commodity (fuel price, electricity price, electric load or hydrogeneration)
= time period of observation (e., day for prices and loads, or week for hydrogeneration)
= logarithm of short-run or spot price for commodity
= logarithm oflong-run or equilibrium price for commodity
= rate of mean-reversion in spot price for commodity n in period
= expected rate of growth (drift) of equilibrium price for commodity n in period
= volatility of spot price returns for commodity n in period
= volatility of equilibrium price growth rate for commodity
= normally distributed random vector (mean = 0, s.= 1)
= normally distributed random vector (mean = 0, s.= 1)
= correlation of spot and long run price stochastic changes
= correlation of spot price stochastic changes for commodities and
= correlation of drift rate stochastic changes for commodities and Var = variance.
Covm,= variance-covariance matrix for stochastic changes in commodities and
For electricity prices daily values are used in the above model. Once the simulated average price
is determined for each day, hourly spot prices for that day are scaled up or down in proportion to
those for the expected daily price shape.
Note: The error vectors are independent and identically distributed ( i.i.d ); there is no
autocorrelation within an error vector. This is the structure of the model used, and the
parameters and coefficients are developed accordingly. Random shocks in successive periods
are drawn independently, and short-term reversion to mean is accounted for.
The primary justification for this assumption is the need to limit the complexity of the model.
this assumption were relaxed (this would be equivalent to switching to an AR(2) or higher
process ), we would effectively be implementing a new model. Developing and utilizing data for
autocorrelation of stochastic variables would add to the complexity of the analysis and
simulation process. We have not studied the feasibility of such a modification to the analytic
process, or what the effect, if any, would be on the results.
Stochastic Parameters: Short-Term
Estimates of short-term volatility and mean-reversion parameters were developed statistically
using ordinary least squares (OLS) regression on historical data. For natural gas prices, market
hub daily spot prices published by "Intelligence Press" were used. For electricity prices, market
hub daily spot prices published by Power Market Weekly were used. Historical loads as reported
to FERC were used for electricity loads. Columbia River basin data published by the University
of Washington were used for hydrogeneration.
- 322-
Appx H Risk Assemssment Methodology
Natural gas market prices at Sumas (1998-2002) were used for MidC gas volatility, and gas
market prices at Opal (1993-2002) were used for both Utah gas price volatilities.
. On-Peak daily forward electricity market clearing prices were used for MidC, COB and PV
(1996-2002) and for Four Comers (1997-2002).
Historical loads aggregated for electric transmission area PAC-West, Wyoming and Utah
were used.
Weekly outflow data of the Dalles forebay on Grand Coulee dam was used for
hydro generation energy availability for both West and East hydro generation basins.
For estimation of stochastic parameters, historical data was "cleaned" by capping gas prices at
$20/MMBtu and eliminating electricity prices between June 2000 and May 2001. Volatility can
vary from year to year, which is why multiple years of data were used. Four "hydrogeneration
seasons were defined: Summer (hold) July-October, Fall (draft) November-January, Winter
(refill) February-March, and Spring (runoff) April-June. The regressions pooled the data for the
same season across the years in the sample period.
The short-term correlation parameter values were calculated (as the linear correlation between
the contemporaneous residuals of the regressions) for each season. Correlation values are used
in the stochastic simulation to adjust the initial random draws for each variable, using Cholesky
decomposition, in order to account for their correlation of unexpected movements.
Correlations between each pair of stochastic variables were calculated using the statistical
estimation tool.
The statistical tool estimated the short-term volatility and mean-reversion parameters as follows.
Let p = In(P), where P is the spot value. The continuous time (as !1t -70) short-term mean-
reverSIOn process IS:
PI PI-(l-)(p- PI-)+E
PI =(l-)p+e-a PI-I +E
For daily (weekly, or other discrete) time data, the above process was estimated with OLS
regression as an autoregressive lag 1 period (or AR(l)) equation:
PI =a+b'pt-I +E
The mean-reversion rate is then calculated from the AR(1) regression parameter:
a=l-
- 323 -
Appx H Risk Assemssment Methodology
and the short-term volatility rate (on a daily basis) is equal to the standard error of the regression:
(J = S where s is the standard error of the regression.
The volatility rate, then, is the residual volatility, after accounting for the mean reverSIOn
tendency, rather than total volatility.
The regression intercept (a) coefficient is not needed, since it is only used in the calculation of
the average value:
= -----;;-
Stochastic Parameters: Lon!! Term
Estimating longer-term volatility and the correlation of variables for electricity and natural gas
prices are somewhat more subjective than estimating the short-term parameters for several
reasons. First, wholesale market prices for electricity are not available for the twenty or more
years that would be necessary to statistically estimate its long-run volatility. Regulation
natural gas wellhead and transmission rates in past years also make the available long-term
prices for natural gas a more challenging subject for simulation.
For natural gas, an annual long-term volatility of 14.51% was adopted from econometric analysis
by Pindyck (Energy Journal, 1998), based on data for the 1970-1996 period. This rate was
scaled down to a daily rate by dividing by the square root of 365. Lacking long-term data for
wholesale electricity prices, we assume the same annual long-term volatility of 14.51 % for
electricity. This assumption may be justified by noting that electricity is a manufactured
commodity whose long-run price is largely determined by the cost of fuel. Through
experimental calibration and judgment, a long-term drift correlation rate of 0.95 was assumed
between each pair of gas and electric prices, gas and gas prices, and electric and electric prices.
This near-unity value results in electricity and natural gas prices tending to move together over
any particular Monte Carlo trajectory.
For loads, an annual volatility of 1.2% was adopted as an estimate of load growth uncertainty
based on a comparison with assumed annual electric load growth.
For hydro generation availability, fifty years worth of available hydro generation based on the
BPA 1999 "Whitebook" was analyzed. Average availability for each of the four
hydro generation seasons defined above was calculated. Representation of stochastic variables is
presently limited to the two factor lognormal model defined previously. Hydrogeneration is
modeled by using the long-term variable to represent the shape of seasonal generation. Long-
term volatility is set to zero so that uncertainty in hydro generation does not grow over the study
time horizon. Annual volatility in hydrogeneration is captured by reducing the mean reversion
rate to a level that reasonably represents the year-to-year variability of water conditions.
- 324 -
Appx H Risk Assemssment Methodology
Short- Term Volatilitv Parameters
The tables below present the volatility parameters that are currently being used for the
PacifiCorp stochastic assessments that were developed using the Simple Lognormal AR(1) Mean
Reverting Model. 20
Utah Load
0132
0080
0080
0080
0132
COB Electric Price
Four Corners Electric Price Mid C Electric Prices
Palo Verde Electric Prices Mid C Gas
1328 1095 0226 1506
1032 1253 0039 0517
0868 1979 0114 0414
1161 1800 0089 0519
1328 1095 0226 1506
Utah Gas
0123 0830 0806 0518
0031 0418 0158 0513
0317 0984 1009 0780
0043 0436 1210 0680
0123 0830 0806 0518
20 F = Fall, W = Winter, Sp = Spring, Sum = Summer
- 325 -
Appx H Risk Assemssment Methodology
Short-Term Correlation Parameters
The tables below present the short-term correlation parameters that are currently being used for
the PacifiCorp stochastic assessments
PAC West and UTAH Load PAC West and WY Load
COB and Mid C Electricit
5711
0:4010
2147
3233
5711
COB and Four Corners Electricity
7336
8319
9039
6735
7336
COB and Palo Verde Electricity Four Corners and Mid C Electricity
8762
5680
8217
0~7286
8762
Mid C and Palo Verde ElectricityFour Corners and Palo Verde Elecricity
Mid C and Utah Gas
6464
0:4652
7464
0:4885
6464
PAC West Load and COB Electric
PAC West Load and Four Corner Electric
0191
0380
0855
0577
0191
PAC West Load and Mid C Electric
- 326-
0389
1013
0796
0003
0389
PAC West Load and PV Electric
0172
0292
1299
0771
0172
PAC West Load and Utah Gas
1795
0242
1443
0385
1795
Utah Load and 4C Electric
1905
1335
0992
1330
1905
Utah Load and PV Electric
0511
0599
1192
1370
0511
Utah Load and Utah Gas
0920
0557
0103
0189
0920
Utah and Wyoming Load
7178
2200
3980
5461
7178
Appx H Risk Assemssment Methodology
PAC West Load and Mid C Gas
Utah Load and COB Electric
Utah Load and Mid C Electric
0746
1030
0237
0019
0746
Utah Load and Mid C Gas
WY Load and COB Electric
WY Load and 4C Electric
- 327 -
Appx H Risk Assemssment Methodology
WY Load and Mid C Electric WY Load and PV Electric
WY Load and Mid C Gas WY Load and Utah Gas
Mid C Gas and COB Electric Mid C Gas and 4C Electric
Mid C Gas and Mid C Electric Mid C Gas and PV Electric
Utah Gas and COB Electric Utah Gas and 4C Electric
Utah Gas and Mid C Electric Utah Gas and PV Electric
- 328-
Appx I Model Descriptions
APPENDIX I - MODEL DESCRIPTIONS
INTRODUCTION
This section provides descriptions of the methodology for the MIDAS Gold Transact Analyst
(MIDAS) model from MS Gerber and the PROSYM least-cost dispatch model from Henwood
Energy Services. PacifiCorp used both models in the development of the IRP. MIDAS is the
tool used to derive forward market prices, which are incorporated into the PROSYM dispatch
model to test portfolio system operations.
MIDAS
Introduction - Wholesale Market Prices in General
Every market valuation of generation resources is significantly influenced by the underlying
forecast(s) of wholesale market prices. The commodity nature of the wholesale electric market
anticipates that reasonable, well-informed parties will possess different market expectations.
The challenge of this IRP process is to find a path that best achieves the identified objectives
irrespective of the exact level of market prices in the future. This paper provides an overview
the MIDAS model and the major assumptions.
Market Clearim! Price Model Used at PacifiCorp - MIDAS Overview
PacifiCorp uses MIDAS Gold Transact Analyst, an hourly, chronological market clearing price
dispatch model licensed from MS Gerber.
The model is a representation of the entire WECC, and is comprised of all the loads, thermal
and hydro generation, and the interconnected transmission system.
Loads and resources are grouped according to the bulk transmission (230 KV and up)
represent known constraints and limits on electricity transfers.
The model uses all thermal and hydrogeneration and transmission available at any given time
to minimize market prices.
Generation cost supply curves are determined for each load center based on gas/coal price
projections over time.
The model determines an efficient dispatch and import/export of generation, respecting
transmission limits and wheeling rates.
The model can also simulate the addition of various pre specified new generation resources
in response to market prices. A new resource will be automatically added to the supply of
resources when market prices are sufficient to recover the costs of that new resource
including capital recovery.
The market-clearing price is set by the unit on the margin for each load center and each hour.
How the Model Determines Prices
The model utilizes the entire bulk transmission grid to earn maximum profits for generators
while at the same time minimizing market prices. Several iterations are completed as the model
- 329 -
Appx I Model Descriptions
goes through the simulation. First, the model determines supply curves in each load center
without any electricity transfers. The model will, for example, determine in iteration #1 that the
supply curve where load and supply match for Wyoming is $15/MWh and where load and
supply match in SP15 is $60/mwh. The model may, in iteration #2, send electricity to SP15
raising the supply curve in Wyoming and lowering the supply curve in SP15.
In iteration #3, the model may decide that there are still more savings if it sends less electricity to
SP15 and more electricity to COB. The model will go through several iterations, possibly 70-
until market prices change by no more than a pre-specified amount, such as $0.10/mwh in our
case.
When the load/supply balance becomes tight, a scarcity value is added in addition to the variable
operating cost (fuel plus variable O&M). The scarcity factors were determined by calibrating the
model against 2000 market prices, a period of scarce generation when the market commanded
significant scarcity rents. As new generation comes on line and the reserve margin increases, the
value of scarcity decreases dramatically.
A forecast for emission allowance credit costs is included in Appendix C. The assumption is that
each company will be forced to comply with multi-pollutant legislation and install control
equipment that will decrease the emission rate of their generators. But for the incremental cost
of the next MWh, generators will need to include the cost of S02, NOX, Hg and CO2 adders in
their decision to generate or not and this will add a component to market prices.
MIDAS Gold Analyst Description
MIDAS Gold AnalystTM is the leading integrated suite of PC-based analytical tools designed
specifically for energy service providers. MIDAS Gold AnalystTM s unique ability to combine
speed, multiple scenarios, and risk analytics with the integrated capabilities to model regional
market prices, operations, customers, and financials, makes it an invaluable tool in the new
competitive environment. No other model is as fast, accurate, or reliable.
MIDAS Gold AnalystTM is an integrated, fast, multi-scenario market model capable of
capturing many aspects of regional electricity market pricing, resource operation, asset and
customer value. It is composed of Transact AnalystTM, Asset AnalystTM and Customer
AnalystTM Asset AnalystTM is a financial simulation model used to produce unit-specific
financial results (e.g. GenCo, DisCo, and TransCo), value assets, and develop transfer pricing.
Transact AnalystTM is an hourly, multi-area, chronologically-correct market production model
used to derive market prices, evaluate electricity contracts, and develop regional or utility-
specific resource plans. Customer AnalystTM is a customer valuation model used to quantify
customer value, enhance marketing strategy, and analyze customer-pricing alternatives.
Together, these three modules make MIDAS Gold AnalystTM the leading software suite for
information management, decision analysis, and electricity market simulations.
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Appx J Model Descriptions
PROSYM
Introduction and Overview
PROSYM is a complete electric utility/regional pool analysis and accounting system developed
by Henwood Energy Services (HESI). It is designed for performing planning and operational
studies, and as a result of its chronological structure, accommodates detailed hour-by-hour (or by
half hour or 15 minute increments, if desired) investigation of the operations of electric utilities
and pools. Because of its ability to handle detailed information in a chronological fashion
planning studies performed with PROSYM closely reflect actual operations. PROSYM was the
first second-generation chronological model, with new technology that vastly sped up the
simulation process that used open standards for both input and reporting to link up with the latest
software tools. Now, it is the first third-generation model, capable of analysis not only in the
traditional cost-based world, but also in the rapidly evolving pools and free markets for power
worldwide.
PROSYM's hourly or sub-hourly time steps can accommodate the modeling of virtually any
utility or pool situation.. In modeled time step of a study period, PROSYM considers a complex
set of operating constraints to simulate the least-cost operation of the utility, or least-bid
operation of the pool. This simulation, respecting chronological, operational , and other
constraints in the case of cost-based dispatch, is the essence of the model.
General Capabilities of the PROSYM System
PROSYM is a general-purpose simulation model capable of representing most electric load and
resource situations. To perform simulations, the PROSYM system requires: at least one basic set
of annual hourly loads; projections of peak loads and energies on a weekly, monthly, seasonal or
annual basis for the study of any future period; and data representing the physical and economic
operating characteristics (the resource mix) of the electric utility or pool, and any relevant pool
or ISO rules. The size of the system being studied, and the duration of the study, are limited only
by computer capabilities and not by model restrictions. The minimum duration of simulation is
one week, although a day s accumulated hourly data may be easily obtained.
PROSYM Module
The PROSYM module performs the actual simulation of utility or pool operations. PROSYM
has seven modes of operation: Convergent Monte Carlo, Monte Carlo, selective Monte Carlo
antithetic sampling, probabilistic, frequency and duration of outages, and deterministic. For the
purposes of this study, PacifiCorp used the Convergent Monte Carlo method for simulation.
Conven!ent Monte Carlo
The Convergent Monte Carlo method, developed by HESI, causes carefully distributed outages
throughout each period. This is a very fast method of obtaining results of multi-iteration Monte
Carlo quality. This method can reduce the standard deviation of simulation values by as much as
70 percent over true Monte Carlo. Thus, far less iteration produces quite accurate results. In
many cases, one iteration is sufficient to deliver the needed answers. Station random outages are
scheduled in a user-defined convergence period that can be a year, month or week. It is the
preferred modeling method used in PROSYM.
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HourJv Man!inal Cost Determination
When PROSYM executes on an hourly basis, marginal costs are determined hourly. Marginal
cost is provided for the system as a whole and for each transmission area designated as a "system
area . There are three cases of marginal cost determination in PROSYM:
Case 1: When resources are insufficient to meet load, the price assigned to energy not served
is used for marginal cost.
Case 2: When dump electricity is generated, the dump price is used for marginal cost. Such a
situation might occur in an area when extremely high hydro runoff exceeds the transmission
area s native load.
Case 3: When any other generating resource is the last resource dispatched to meet load in a
transmission area, the incremental cost (or asking price if PROSYM is run in a bid based
mode) of the resource over the user defined dispatch increment which spans the final
generation level of the unit is used for marginal cost. If the station is in a different
transmission area, the marginal cost is altered to account for any transmission losses or
wheeling charges.
Transmission-Limited Area Modeline
PROSYM allows placing local generation requirements and transmission limits and
characteristics into sub-regions called transmission areas. There are two possible topologies
available, Star and Delta. In Star topology, all transmission areas connect into a center area
called "System ; all generating resources and transactions not explicitly placed into a
transmission area are in "System ; and there is only one transmission path for power flows from
a source to a demand. In Delta topology, there is no center "System" area, so all resources must
be explicitly placed in a transmission area; links must be declared to connect the transmission
areas; and multiple paths are possible.
Each transmission area is considered attached to the main system by a transmission link. Limits
and characteristics including Capacity by direction, losses, and wheeling, are assigned to the link
Also, a transmission area may carry its own spinning/primary reserve requirement, over and
above the overall system requirement. As system commitment / dispatch proceeds, transmission
areas are dealt with separately to insure the least expensive dispatch is found without violating
area constraints.
When meeting load in a transmission area, the cheapest solution for the next increment of power
may be within the area or outside. However, the outside increment is viewed through a "filter" of
line losses and wheeling charges. For example, if the next increment of power within the area
costs 15 mills, and outside, 14 mills, but wheeling charges add 2 mills to the outside power, the
cheaper solution is the IS-mill in-area power. If there are no wheeling charges but there are line
losses amounting to 10 percent of power transmitted, then again, the in-area generation is more
economical. However, ifthe transmission line is full, ifthere is a local generation requirement to
meet, or if local spinning reserve policy requires it, the local power is used regardless of relative
cost, with a corresponding effect on local marginal cost.
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Appx I Model Descriptions
Another multi-area aspect to consider is that, by default, losses along transmission links are
reported but not generated for. That is, if 100 MWh is needed in a neighboring transmission area
and the link from the marginal generation has a 5 percent line loss, then 100 MWh is produced in
the neighboring area, 100 MWh arrives at the load, and 5 MWh is reported as lost. This is caused
by the default convention that loads contain losses. The user may, however, opt to generate for
line losses if not included in the load forecast.
Tvpes of Generation Resources Modeled
PROSYM models a variety of generation resources and handles transactions, allowing
representation of all standard resource types encountered in routine production cost modeling.
PROSYM allows you to select from six specific types of stations; all types of resources fit into
one of these categories. The six station types are:
1. Thermal - transactions/sales, generation priced at marginal cost, time-dependent units, and
must-run units
2. Hydrogeneration - Conventional hydro generation resources or any fixed energy station or
contract
3. Pumped storage - Pumped-storage type resources, exchange contracts
4. Limited energy - Limited-energy resources
5. Proxy - Stand-in "resource" representing an external event
6. Financial - Financial contracts, such as hedges, that do not involve actual electricity delivery
The specification and PROSYM's handling ofthese types of resources (or sales) are discussed in
the sections below.
Thermal/Time-Dependent Generation
The default type of resource is used to represent conventional thermal units, transactions/sales
generation priced at marginal cost, time-dependent units, and must-run units.
Numerous variables are used to control the operation of a conventional thermal unit. A
conventional thermal generation unit generally has a fuel cost and a heat rate. Typically, a
thermal station is committed based on economics, dispatched based on economics, has a forced
outage rate, a maintenance rate, and associated data to constrain operation of the unit to represent
its physical characteristics. Data is entered to represent startup cost, variable O&M cost, and
annual fixed cost of the station. Emissions data may be input for any unit that is thermal. The
data specifies pounds (or kg) of a particular emission/million Btu (or GJ) of fuel consumed by
the unit, pounds (or kg)/MWh produced by the unit, pounds (or kg)/hour of operation of the unit
or (in the case of NO x) a point-by-point, third-order, or exponential equation based on electricity
output.
A transaction is also modeled as a station resource. In the case of a sale, its maximum capacity is
given by a negative number, and its optional minimum capacity is either negative number or
zero. If the commit variable indicates that the transaction is must-run, it must be scheduled, but
PROSYM chooses any level of transaction between the minimum and maximum levels
depending on economics. If it is an economy transaction, the model may choose not to sell
electricity in hours when revenues do not contribute above cost, or not to buy electricity when it
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Appx J Model Descriptions
costs more than the generating cost. The commit variable is used to force the transaction, or
allow commitment at the model's discretion.
The following information about a station is input on a generating unit basis:
1. Maximum capacity of each unit
2. Minimum capacity of each unit
3. Dependable per-unit capacity
4. Peaking capacity, for use under specified conditions
5. Actual pre-specified commitment and/or unit dispatch
6. Daily charge for operating a unit for at least one hour in the day
7. Fixed O&M cost of each unit
8. The heat rate curve for a unit
9. Pre-scheduled maintenance, number of units and duration
10. Maintenance rate, for distributed maintenance/unit
11. Mean, maximum, and minimum time to repair, for outages scheduled by Convergent Monte
Carlo
12. Minimum up and down times ofa unit
13. Per-hour operating cost, exclusive of fuel and variable O&M cost
14. Pumped storage pumping capacity, and pumping minimum
15. Unit ramp and run-up rates
16. Unit startup O&M and fuel cost and corresponding hours
Run-of-River and Storage Hydrogeneration/Fixed Energy
Like the thermal stations described above, these stations have a maximum and mInimUm
generating capacity, but they also have a fixed amount of energy they must use within a specified
time (a week or a month). Hydro stations can be directed to operate in a manner to level the load
shape served by other stations or to dispatch based on expected market price. Hydro stations are
scheduled one at a time over the horizon of the week, subject to hourly constraints for minimum
and maximum generation, and weekly constraints for ramp rates, and total energy. The load
shape they intend to level can be set to the transmission area, control area, or overall system load.
In a peak shaving mode, the mode used by PacifiCorp in this study, a hydro station is first
scheduled to operate at its minimum for all hours and the load for each hour is reduced by the
amount of this generation. If this schedule is less than the week's energy, the generation is
increased by an increment (for the hours with the highest adjusted loads; the loads for these
hours are accordingly adjusted downward. Hourly constraints are enforced during the dispatch
process. This process is continued until the total weekly generation for this station matches the
specified value. Interpolation is used on the last increment.
Fixed Energy Transactions
Fixed energy transactions are a special case of hydro, and are treated similarly. PROSYM allows
four fixed energy transactions: peak-shave purchase, peak-build sale, valley-take purchase, and
valley- fill sale. Which transaction type is appropriate depends on whether the purchaser or the
seller controls the rate and time of power delivery.
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Appx I Model Descriptions
Pumped Storage Plants/Energy Exchange Contracts/CAES Units
PROSYM makes use of a value-of-energy method of dispatch. This method allows accurate
results, flexibility in modeling generation / pay back resources other than pumped storage plants
and accounting for head variations in pumped storage plants. The method also provides a
meaningful measure of marginal cost when a pumped storage plant is the marginal plant. The
water (fuel) of pumped hydro generation is valued at the cost of pumping, allowing for net plant
efficiency. Hourly reservoir levels are computed and a look-ahead is employed to prevent
drawing the reservoir below the level where pumping space allows refilling to the desired level
before the beginning of the next peak period.
Energy-Limited Generating Units
PROSYM allows modeling of resources that have maximum and/or minimum energy limits.
These are specified energy limited in the station s description.
Proxy and Financial stations were not used in PacifiCorp s study.
Unit Commitment Lo!!ic in PROSYM
Introduction
This section briefly describes the unit commitment and dispatch logic and associated features in
PROSYM. This is followed by descriptions of the separately licensed add-on PROSYM
modules and their interaction with unit commitment.
PROSYM's unit commitment and dispatch logic is designed to mimic "real world" electricity
system hourly operation. This involves:
1. minimizing system production cost
2. enforcing the constraints specified for the system, stations, associated transmission, fuel, and
so on;
Depending upon whether PROSYM is directed to dispatch on a cost-based or bid-based manner
the minimization of the system "production cost" is based on station production cost or the
station bidding prices. The following criteria are observed during the commitment process.
1. System and local security. PROSYM allows the user to specify three levels of spinning and
primary reserve: system level, control area level, and transmission area level. The user can
specify the reserve at any level or at all the levels. The unit commitment and dispatch logic
not only looks in the current hour but also looks into the future hours for the possible security
violation. If the de-commitment of a station will cause a reserve violation in the current hour
or the future hours, the station will remain on-line.
2. Station physical constraints. The user can specify minimum up and down time for each
station.
If a station was off-line in the previous hour, the logic counts the number of hours the
station has been off-line and compares the number with the station s minimum down
time.
If the number of off-line hours is less than the minimum down time, the station will
remain off-line in the current hour.
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Appx I Model Descriptions
If the station can be de-committed, PROSYM's "look-ahead" logic estimates how many
hours the station can be off-line. If the number of possible off-line hours is less than the
minimum down time, the station will be kept on-line.
By the same token, the station minimum up time criterion is checked ifthe station was on
line in the previous hour. Also, the ramp rate and run up rate is considered in the de-
commitment decision process. If a station with ramp rate or run up rate will be needed in
a given hour, the station will be committed a few hours earlier for ramping up. Similarly,
if a station is about to be de-committed, the station will ramp down and prepare to be shut
down.
3. Transmission Constraints. PROSYM determines power flow to equalize the incremental
costs of all transmission areas in the system and enforce the power flow constraints. A
transmission area may import inexpensive power from its neighbors or export power to
replace its neighbor s expensive power. A station may pass the other criterion tests, but if
for example, the inexpensive replacement of energy cannot reach the transmission area the
station is located in, the station will not be de-committed.
4. Limited Fuel Constraints. PROSYM's limited fuel logic interactively works with the unit
commitment and dispatch logic to observe fuel limits while economically dispatching
stations. A station may be kept on-line to avoid fuel under-bum, or off-line to avoid fuel
over-bum. The fuel consumption status is passed back to the commitment and dispatch logic
by station shadow prices. If a fuel is over-burnt, the shadow price of the stations burning this
fuel will be the "emergency" price. If a fuel is under-burnt, the shadow price of the stations
burning the fuel will be the "dump power" price.
5. Other operations constraints. The other operation constraints include Heat Production
Constraints, Transmission area minimum generation constraints, etc. The constraints are
enforced in two ways: keep stations on-line or off-line or at certain generation level to meet
the constraints or the constraints are quantified by shadow prices added to the commitment
and dispatch prices.
6. Economy. PROSYM's look ahead logic can estimate how may hours that a station can be
off-line in the future. The cost of the station minimum capacity in the off-line hours is
compared with the startup and stop cost. A de-commitment decision is made if the startup
and stop cost is less than the cost of the station minimum capacity less the replacement cost.
PROSYM has other dispatch modules that may be used. They include:
Contract Flow (Transport Logic) and Physical Power Flow (TOPS)
PROSYM's can schedule contract flow using Network Flow Programming technique (Transport
logic) or physical power flow using DC-OPF technique (Transmission Oriented Production
Simulation, TOPS). In both modules the power flow (contract or physical) is scheduled at every
step of the unit commitment and dispatch logic to correct any possible transmission constraint
violations. The transmission wheeling charges and (linear or quadratic) losses are taken into
consideration in the generation dispatch.
The transport logic identifies energy trading partners and the contract path (minimum cost path),
and schedules power flow to maximize the revenue. TOPS schedules physical power and
corrects transmission constraint violations caused by physical power flows.
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Appx J Model Descriptions
Limited Fuel Module
PROSYM's limited fuel logic works with the unit commitment and dispatch logic to
economically schedule hourly power generations and to enforce the fuel limits. The fuel limits
enforced by the module include hourly fuel limits, hourly pipeline limits, daily, weekly, annual
fuel limits and weekly fuel inventory limits. The Limited Fuel module identifies the marginal
fuel for each limited fuel station and calculates station associated marginal cost during and after
the commitment and dispatch process.
Emission Module (ECOSYM)
PROSYM's emission module, ECOSYM, can calculate 14 types of emissions that can be station-
dependent, fuel-dependent or both. The emissions are priced using the user provided prices, and
the stations producing emission are penalized in the unit commitment and dispatch process.
In addition, ECOSYM allows the user to specify the emission allowance trading and calculate
the emission allowance borrowing and banking.
Controllint! PROSYM Execution
Although simple on a broad conceptual basis, PROSYM itself is quite complex. This complexity
is necessary to provide the flexibility required to simulate day-to-day utility or pool operations.
The model is controlled by specifying and assigning values to a broad menu of parameters.
These parameters are grouped into several distinct sections in a PROSYM data set.
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Appx J Methodology
APPENDIX J - METHODOLOGY
INTRODUCTION
PacifiCorp s analytical approach is in many ways a response to recent events and expected
changes to its operating environment. Accordingly, the approach introduces an analysis of risk
in order to provide insight on the commodity price volatility described in Chapter 1. It also seeks
to capture the relationships between risk factors. These relationships were critically underscored
by the interplay of gas prices, electricity prices, hydro generation availability and high loads as
they converged to create the Western electricity crisis. The analytical approach also addresses
the need to model resources collectively, in portfolios, rather than in isolation. This Appendix
details the analytical approach behind this IRP.
For purposes of simplification, the analytical approach is divided into three general steps:
Portfolio Development
Model Input Selection
Modeling
These steps as well as a brief discussion of critical analytical assumptions is provided below.
The diagram below illustrates this process:
Figure J.t IRP Development Process
Legend
Input:
.-::;;;;;;;;;;;
Model
Output
Iterative Process
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Appx J Methodology
PORTFOLIO DEVELOPMENT (STEP 1)
Portfolio Selection is the first step in the analytical approach. Previous IRPs analyzed alternative
resources in isolation. Rather than merely pick and choose individual assets for review
PacifiCorp employed a portfolio selection process (described below). The portfolio approach
enhances previous methodologies by evaluating individual asset costs and their interactions with
other members of the portfolio. The modeling approach, therefore, revolves around the
development and subsequent analysis of complete portfolios of resources. The process by which
portfolios were developed is summarized as follows:
Portfolio Requirement Criteria: A standard set of criteria was established. All portfolios
must adhere to these criteria.
Portfolio Generation and Refinement: To develop and then refine the resources in portfolios
an iterative process was perfonned.
The infonnation below details the development process.
specific portfolios can be found in Chapter 6.
Additional infonnation regarding
Portfolio Requirement Criteria
The Portfolio Requirement Criteria consist of logical rules for portfolio development. The rules
assure portfolios contain practical resource configurations confonning to system operational
requirements and government regulations. Unless otherwise noted, all portfolios considered in
the IRP met the following criteria:
Compliant with all federal, state and local requirements
Compliant with EP A and other environmental requirements
To the extent possible, without unduly burdening ratepayers, be consistent with other public
policy values that may not necessarily be embodied as a specific regulatory requirement e.
renewable policies or technology preferences
To the extent of not unduly burdening ratepayers, the portfolios should be diverse and
include a mix of demand- and supply-side measures
Be technically feasible, i.e. based on tried and proven technologies
Can be acquired in time to meet load requirements
The environmental implications associated with the potential options must be realistic e.
siting of resources to ensure PacifiCorp is:
Not trying to achieve the impossible, e., new transmission built across a national
monument
Managing within environmental limits
Helps to minimize the Company s commodity risk exposure to electricity market
volatility
With respect to rate-based assets, allows PacifiCorp s rate of return
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Appx J Methodology
Portfolio Generation and Refinement
Portfolio generation and refinement was performed through an iterative process in lieu of an
automated optimization tool. Currently, no automated tool exists. The following information
describes the step-by-step process.
1. Assumptions: Basic, modeling assumptions must be defined. These assumptions capture
the characteristics ofPacifiCorp s system and portfolio alternatives. For example:
System topology, e., 22 bubbles or distinct and constrained transmission areas
Existing resource operating characteristics including life of plant or contract
Forecast of various drivers, e., loads, market prices, etc.
Details regarding all of the assumptions can be found in Appendix C.
2. Portfolio Design Rules: Design rules were established as guidelines for selecting assets to
fill each portfolio. A critical rule was that of achieving a 15% planning margin by fiscal
years 2006/07. The planning margin is the target reserve level assumed to provide sufficient
future resources to cover forced outages, provide operating reserves, regulatory margin, and
demand growth uncertainty.21 The reserve is the amount of resources expected to be available
during the system peak less the forecast peak load for the whole system plus the net of the
long term sales and purchases. Additional rules include:
Net short position limited to less than 5% of the hours in any year
Replace known plant retirements with either a replacement plant or firm, long term
purchase contracts. Filling the gap occurs thereafter
Preferred balance of plant type (base vs. peaker) -Selections to be made based on a
capacity factor screening preference order as follows:
Short position exceeds 80% of hours: base load coal or combined cycle
Short position exceeds 70% of hours: combined cycle
Short position is less than 30% of hours: simple cycle CT (peakers)
Short position less than 5% of hours: demand reduction, seasonal shaped purchases.
3. Peak: The Peak System requirement must be determined in order to define the overall
capacity requirement for the system and add agreed planning margin to determine maximum
capacity requirement for the system.
4. Gap: Both the resource gap and the trends for the system must be determined by modeling
dispatch of the system with access to markets switched off and all available resources
assumed to be must-run. Furthermore, only firm transmission rights were assumed to be
available. This results in a plotting of the Load Duration curves for the system split:
East/West
. HLH/LLH
Year on year for first 10 years of the plan
21 Planning margin is calculated according to the following formula: 115% times (Peak Load plus Sales minus
Purchases).
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Appx J Methodology
5. Alternatives: Alternative portfolios must be defined to fill the gap. Alternatives must
include practical details such as plant location and the transmission costs to get energy to
load centers.22 These portfolios meet the minimum criteria described above and also match
professional judgement on what the range of "practical" alternatives are. From this, a "base-
case" or "short-list" of portfolios will begin to surface and will be subject to further
refinement.
6. Initial Modeling: Portfolios are run through the complete suite of models described below.
The results help to determine:
Impact on system peak and the planning margin achieved
The impact on the resource gap - done by plotting the Load Duration curves for the
system split as follows:
East/W est
HLH/LLH
Year on year for first 10 years of the plan
The risk profile for the portfolio to review the price volatility of the portfolio i.
exposure to market and overall variability of the Present Value Revenue Requirement
(PVRR).
The impact of the portfolio on
- Customer s retail rates
Shareholder value, i., Company earnings, capital requirements and cash flow
The Portfolio results will be juxtaposed to the Portfolio Requirement Criteria and result in the
development of further refined portfolios. Steps 8 and 9 outline the iterative process for such
refinement.
7. Review: Selection criteria for the iterative refinements and additional portfolio development
include a review of the overall resource adequacy and the portfolios ability to meet the
minimum criteria based on the following managed changes or variations to the portfolios:
Review the planning margin - increase and/or decrease the margin to seek an optimal
reserve
Review technology type e.g. coal, gas, DSM or renewables
Alter the balance of plant type (e.g. base vs. peaker)
Alter the system net short position
Note: DSM will be considered for all shortfalls but sought out in particular load shaping
and peaking opportunities.
Repeat Step 7 for the new or revised portfolios. Note: for the purposes of time efficiency in the
initial portfolio stages only run the portfolios through the PROSYM model to determine the
PVRR. Once the PVRR range is clearer, following the initial portfolio iterations, the selected
portfolios can be run through all models.
22 More general location and pricing assumptions were associated with the RPS and profiled wind components of
portfolios. Common to all portfolios, these assumptions could not affect comparative rankings.
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Appx J Methodology
8. Additional Resource Options: Once the portfolio selection has been iterated to a short list
of portfolios, the portfolios will be reviewed to calculate the value of DSM and the addition
of any further DSM product options. The additional DSM value will be determined by
decrementing the load forecast by 150 MW and 300 MW with 3 different load factors for
each decrement (a total of 6 additional model runs). This will result in PVRRs at 2 levels of
additional DSM with various load factors. These results will be used as a target value, load
and load shape for additional program evaluations. A discussion of the decrement process is
available in Appendix G.
MODEL INPUT SELECTION (STEP 2)
The portfolios generated above contain a number of resources with diverse locations, fuel types
and operational characteristics. Components of each portfolio have complex interactions. A
large and detailed range of inputs is required to simulate the risks and revenue requirements of
each portfolio. Developing and understanding these inputs is a critical element of the analytical
approach.
An overview of the major modeling inputs is provided below. Additional input information can
be found in Appendix C.
System Topolo2V
PacifiCorp staff developed a topology for this IRP that reasonably reflects the PacifiCorp system.
The topology is shown in Figure J.
The development of this topology involved defining: the loads associated with each bubble, the
existing resources located in each bubble, the characteristics of each resource, and transfer
capability of the links between the bubbles, etc. In order to model the interaction between the
PacifiCorp system and the WECC markets, the topology captures interactions at the following
trading points:
Mid Columbia (Mid-
California/Oregon Border (COB)
Harry Allen
Mona
Palo Verde
An analysis of the current and projected depth and liquidity of these markets was done to
determine market size and availability characteristics for the model.
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Appx J Methodology
Figure J.2 IRP Topology
Mid ~Ol
~ ~
It Load
iii Gen...ation
Owned Transmission ",pacity
...... LTfirm Transmission capacity
Liquid Market
Geographic Area
Market Pricin!! Forecasts
Long-term commodity price forecasts are critical model inputs. PacifiCorp developed its
forecasts using MIDAS Gold Transact Analyst, an hourly, chronological market clearing price
dispatch model licensed from MS Gerber. Detailed information regarding MIDAS is provided in
Appendix
Resource Operatin!! Cost
Operating costs are used by PROSYM to dispatch resources as well as simulate market
purchases and sales. Operating costs include fuel, variable operation and maintenance cost, start-
up cost, wheeling and emissions costs. All of these costs are used in dispatching the units.
Emissions costs only above the projected cap for the various pollutants are used in the final cost
analysis. The PROSYM model runs develop variable electricity costs incurred in serving
PacifiCorp s load.
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Appx J Methodology
If there is electricity available in the WECC that can be purchased at prices lower than running
PacifiCorp resources , the model will make the least cost dispatch decision and purchase from the
market to meet load. If PacifiCorp has excess electricity with operating cost less than the WECC
market, the analysis will cause those resources to run and sell the excess in the WECC spot
market. Therefore, the variable costs will include fuel costs incurred in making spot market
sales, spot market purchases, and proceeds from revenue associated with secondary sales.
Resource Reliability
Equivalent forced outage rates were assumed for new resources and taken from the history of
existing resources for purposes of modeling. PROSYM then modeled the variability around
these numbers.
Transmission and Development Costs
PacifiCorp used actual development opportunities as its template for determining transmission
and development costs. A necessary component of the calculation of each portfolio s PVRR
these costs are a critical model input.
Scenarios
Model assumptions for scenario risks originally input into the model are revised and tested in
order to observe portfolio performance under different scenarios and stress conditions.
Accordingly, stress tests require each set of scenarios to be entered into the model.
MODELING (STEP 3)
The analysis process begins by selecting portfolios for evaluation (Step 1) and delineating
critical inputs (Step 2). This vast collection of data is then modeled using the 6-step approach
detailed below:
1. PROSYM, an hourly least cost dispatch model, incorporates the price forecasts and a wealth
of transmission and operational information to simulate PacifiCorp s system. From this data
PROSYM determines the resulting revenue requirements.
2. The results of the simulations are brought into the Consolidation model. Within this model
capital and a range of other electricity costs are combined with net electricity cost output
from the PROSYM model to calculate the PVRR of each portfolio.
3. MarketSym gathers the various risk parameters and through a stochastic process simulates
one hundred different price scenarios.
4. The 100 scenarios developed from MarketSym are then run through a simplified topology
version of the PROSYM model and re-dispatched to produce a range of PVRRs for each
portfolio.
Results are then collated to produce:
5. Customer rate impacts.
6. Portfolio, stress and risk scorecards from the model output
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Appx J Methodology
PROSYM
The PROSYM model takes the market forecasts developed in MIDAS. PROSYM then uses a
production cost model, simulating the operation of PacifiCorp s system. It employs a
sophisticated relational database technology that operates in conjunction with this multi-area
chronological, production simulation model.
The types of information managed by the database include the data necessary to correctly
consider the performance of the PacifiCorp system and portfolio options. These include:
individual electricity plant characteristics
transmission line interconnections and transfer capability ratings
forecasts of additions and resource fuel costs, and
forecasts ofloads for each of the retail load regions served by PacifiCorp.
PROSYM simulates, with hourly detail, the operation of the individual generators, and control
areas (also referred to as transmission market areas) to meet the fluctuating loads within the
PacifiCorp system. The simulation takes into account various system and operational
constraints. It uses a variety of methods to analyze the system, including a Monte Carlo
methodology to incorporate individual unit forced outages. Output from the simulation is
generated in hourly, station-level detail and analyzed. A summary of the output is available in
Appendix E.
Consolidation Model
The Consolidation Model is an Excel workbook that combines the operating cost results from
PROSYM with the revenue requirement of new capital additions to provide an annual revenue
requirement projection for each portfolio. The net electricity cost from PROSYM includes
electricity supply system costs for fuel, variable plant O&M, start-up costs, market contracts and
spot market purchases and sales. Additional costs calculated outside of PROSYM, but included
in the consolidation model, include DSM costs, renewable green tags and production tax credits
emission allowance costs or credits, and all of the revenue requirement costs associated with
adding incremental investment in new resources and new transmission.
All annual values are determined in nominal, or escalated, dollars. The revenue requirements for
the new resource and transmission capital additions are included as escalated "real-Ievelized"
revenue requirements. The emission allowance impact is calculated in the Consolidation Model
by comparing the tons emitted, as determined by PROSYM, subtracting PacifiCorp s estimate of
future levels of tons allowed and multiplying it by projected emission allowance costs/ton.
The consolidation model does not include certain costs that are deemed to be common to all IRP
portfolios. The excluded costs are existing generation assets' capital revenue requirements
existing generation assets' fixed O&M, CAI costs, hydro generation relicensing costs, and other
non-electricity supply costs such as distribution, transmission and general plant capital and fixed
operating costs.
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Appx J Methodology
The consolidation model calculates the Present Value Revenue Requirement (PVRR) of the
annual combined revenue requirement, described above, for the 20-year analysis period (FY2004
- 2023) for comparison among portfolios.
The consolidation model also calculates the revenue requirement utilizing the traditional
(nominal, instead of real levelized) revenue requirement calculation on capital additions for
looking at the IRP-related customer impacts assuming traditional ratemaking treatment.
MarketSvm
Using the dispatch model as a foundation, MarketSym incorporates price forecasts generated by
MIDAS (discussed in Appendix I), the risk components described in Chapter 3 as well as the
operational information simulated by PROSYM. Within MarketSym risk factors vary using a
Monte Carlo simulation of each stochastic process. Details regarding this approach are provided
in Appendix H. Following this process, MarketSym produces 100 different price scenarios. The
risk analysis is performed using the distribution of the 100 outcomes.
While both MarketSym and PROSYM employ a Monte Carlo simulation, its importance to
PacifiCorp s analytical approach becomes most apparent in MarketSym s risk analysis. The
Monte Carlo simulation s iterative process captures the random nature of the Stochastic Risks
identified in Chapter 3. Simpler analytical methods might only model the mean or expected
value of a parameter. However, understanding risk requires understanding the likelihood of
deviations from that expected value. The Monte Carlo approach helps identify the probability
and thus risk of different outcomes. Furthermore, the simulation incorporates the interactions
between risks. The interaction between risks is potentially as important as the individual
variability of the risks alone. Finally, the Monte Carlo simulation uniquely provides insight on
the non-linear nature of the risks that PacifiCorp faces. Less sophisticated analytical tools often
ignore non-linear relationships and consequently lead to incorrect conclusions. Such conclusions
can be particularly costly since non-linear relationships often result in a greater than expected
extreme events. Such extreme (or asymmetrical) outcomes were strikingly observed during the
Western electricity crisis described in Chapter 1.
Customer Impacts
The IRP customer impacts calculation includes only the $/MWh rate impacts associated with the
IRP "footprint" as compared to a total company historical $/MWh (CY 2001 actual retail $/MWh
was used for comparison).
The IRP footprint includes electricity supply system costs for fuel, variable plant O&M
emission allowance impact, start-up costs, market contracts, spot market purchases and sales, and
DSM costs. It also includes all of the revenue requirement costs associated with adding
incremental investment in new resources and new transmission. However, the IRP footprint
does not include certain costs that are deemed common to all IRP portfolios. The excluded costs
are existing generation assets' capital revenue requirement , existing generation assets' fixed
O&M, CAI costs, hydro generation relicensing costs, and other non-electricity supply costs such
as distribution, transmission and general plant capital and operating costs.
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Appx J Methodology
The IRP Customer Impact Calculation:
1. A Portfolio s $/MWh is calculated annually by dividing the total revenue requirement of the
IRP footprint by the IRP load projections.
2. Each year is compared with the previous year s $/MWh to derive the $/MWh increase. This
$/MWh increase is then divided by calendar year 2001's actual retail rate of $48.97/MWh.
The calendar year 2001 $/MWh was chosen as a benchmark anchor to which all other years
are compared.
3. This provides an "indicative" percentage increase attributed to the IRP portfolio for that year.
Because the IRP excludes the costs common to all portfolios, the customer impacts calculation is
only relevant when comparing one IRP portfolio against another. While the IRP customer
impacts calculation provides yearly directional implications of rate changes associated with IRP
it can not provide a projection of total company customer impacts because it is only a portion of
the total company revenue requirement, as detailed above. Likewise, the IRP customer impacts
are a consolidated company look assuming immediate ratemaking treatment and make no
distinction between current or proposed multi-jurisdictional allocation methodologies.
Scorecards
Portfolio Scorecard
The portfolio scorecards pull information from the Consolidation Model and summarize the
outputs. The scorecard does not include the complete data set. Rather, it provides a simplified
snapshot useful for comparative purposes. In the scorecard the following items are compared:
PVRR - Present Value Revenue Requirement. This is calculated over the 20-year period.
Capital Cost. Capital costs represent the capital, in 2002 dollars, needed to develop the
portfolio
Emissions. The following information about emissions is presented:
PVRR from 2004 - 2023
Thousands oftons emitted for CO2, SO2, NOx, Hg from 2009 - 2023
Percent above or below the cap for each pollutant from 2009 - 2023
Market Purchases. Market purchases are expressed with two values: % of load served and
aMW. Each is calculated over the 10 year period starting in 2004 and concluding in 2013
Market Sales. Market sales are expressed with two values: % of sales as a function of
owned generation and aMW. Each is calculated over the 10 year period starting in 2004 and
concluding in 2013
Unit Capacity Factors. Unit capacity factors represent the utilization rate for each resource.
The factors presented in the score card are taken from 2014. All new resources are on line by
2014. Therefore, the factors provide clearer information for comparative purposes.
Transfers. Transfers represent the East-West and West-East transfers expressed in MWhs
for the periods of2004 and 2014. Furthermore the percent increase/decrease in transfers
relative to 2004.
Stress Scorecards
Stress scorecards provide the same kind of information as the portfolio scorecard discussed
above. However, the output of the stress scorecard is taken from model runs in which the base
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Appx J - Methodology
assumptions of Scenario Risks are purposefully changed. As such, stress scorecards provide for
portfolio comparisons of different scenarios or stress conditions.
CRITICAL ASSUMPTIONS
A comprehensive list of the assumptions used in this analysis is available in Appendix C. The
assumptions below are particularly important and merit additional discussion.
Market Access Assumptions
Liquidity and physical transmission limitations constrain market access. Discussed in Chapter 5
the market is a valuable resource. Therefore , assumptions regarding market access are important
to simulating realistic dispatch decisions.
Transmission
Access to market is restricted to PacifiCorp s physical transmission limitations. These
limitations are captured in the system topology within the model. PacifiCorp s firm transmission
rights allow market access in the West up to the liquidity constraints discussed below. East sales
fall within two tiers. The first tier includes sales up to 350 MW. Such sales reach market over
existing, firm transmission rights. Like the West, first tier sales are unburdened by additional
transmission costs. Additional sales (second tier) are allowed. They incur short-term
transmission procurement and congestion charges.
Liquidity
Liquidity limitations affect PacifiCorp s ability to balance its system in the market at a
reasonable cost. Liquidity costs and limitations are observed in the bid-ask spread, price impacts
or 'slippage' and other trading frictions. Estimations of future liquidity are difficult and
somewhat subjective. Such frictions vary by market hub , lead-time and the size of the position to
clear. Building to a 15% margin over the forecast peak load, PacifiCorp has substantial balancing
requirements in non-peak periods. Liquidity is therefore an important modeling consideration.
To capture the known but subjectively defined frictions associated with market liquidity,
PacifiCorp s market access is capped as follows:
250 MW at COB
250 MW at Mid-Columbia, and
500 MW at Palo Verde
Such limits help deter impractical model dispatch decisions and appear consistent with historical
practice. All market transactions outside of existing long-term contracts are subject to this
limitation.
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Appx J Methodology
RPS Assumption.
Initial portfolios included a common assumption that PacifiCorp would meet the proposed
federal Renewable Portfolio using a flat contract priced at $50/MWh with capacity increasing by
6% of retail load each year. The RPS is discussed in greater detail in Chapter 3. The major
points included as assumptions in the study were as follows:
Begins in 2005 at 1% of total retail sales adjusted for existing hydro generation and renewable
generation
1 % grows by 0.6% each year until reaches 10% of total adjusted retail load by year 2020
Modeled as a flat, annually increasing contract priced at $50/MWh. Contract price includes
cost of transmission, integration, shaping, and firm delivery to main load centers.
The RPS obligation is divided equally between the East and West control areas of the system.
Subsequent portfolio iterations realized superior PVRR performance when meeting this
requirement with profiled wind. Therefore, the flat contract was replaced with profiled wind in
the Diversified I, II, III and IV portfolios. The Renewable Portfolio, with a substantially greater
wind commitment, contains both the flat contract and profiled wind.
Wind technology is assumed to decrease in per unit cost as manufacturers achieve greater scale.
Accordingly, capital costs for RPS resource additions are assumed to decline at a rate equal to
inflation.
DSM Assumption
Each portfolio also includes a common assumption for a combination of Class 1 and Class 2
DSM. Class I dispatchable programs represent Commercial and Residential Air Conditioning
load control programs in Utah. Class 2 programs are spread throughout the system and represent
a combination of different programs with totallevelized costs under $40/MWh. Programs are not
included for Oregon since the Energy Trust of Oregon will implement future programs.
The major points included as assumptions in the study are as follows:
Dispatchable load control program fully implemented to 90 MW peak capability by 2006.
Class 2 DSM programs modeled as reduction to load shapes. Multiple program shapes are
combined by load center.
Class 2 program amounts are increased by 8., average distribution level losses.
5% Build Requirement
Based on input from the public process portfolios were designed to limit expected spot purchases
to 5% or less of each year s hours.
Public comments originally requested building to cover 100% of the position. PacifiCorp
believes building or buying to cover 100% of the position (the needle peak hour) is excessively
conservative; EFOR alone can account for more than 5% for the duration.
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Appx J Methodology
The 5% limitation provides intuitive benefits associated with power price volatility. Power price
volatility can be considerable. It is true that minimization of power price risk favors being long
power more often than being short since prices are unbounded on the upside, but cannot be
negative under current market rules. However, a long position, or even a 100% coverage
position, requires either more owned or controlled capacity or a large amount of both shaped
purchases or call optionality. These positions can be structured and can be cost effective, but this
is a very fine level of detail to be shown in an IRP.
The 5% limitation is not inconsistent with a prudent spot market exposure, which PacifiCorp is
now successfully managing. Recent market experience supports this. Filling the 5% short with
peak hour block purchases will create shoulder hour length that will have a high probability of
being surplus. This relatively small short position (approximately 5%) is favored on the basis of
prudent commodity risk management.
Additional Critical Assumptions
The following assumptions are also critical to the analysis methodology and are common to all
portfolios.
The plan is assumed to cover a 20-year time period where no resources are added after 2013
System transmission includes only firm rights to ensure that new and existing resources are
always available to provide service.
There is an hourly operating margin of 15% which is separate from the planning margin and
consists of plant equivalent forced outage rates (EFOR), spinning and non-spinning operating
reserves, contingency reserves (5% hydro generation and 7% thermal)
Plant life is consistent with stipulated Plant Depreciation Study with the exception of
Naughton that retires in 2022.
All hydro generation plants are relicensed but the analysis includes reduction in energy and
plant flexibility as estimates for possible future operational changes.
INTEGRA TED RESOURCE PLAN CAPITAL REVENUE REQUIREMENT
METHODOLOGY
Introduction
PacifiCorp s IRP calculates and compares the revenue requirement of potential future resources
to determine the best set of resources to meet future load projections. The IRP financial analysis
includes both a variable and a fixed component of revenue requirement. The variable component
includes total company fuel, variable O&M, spot market purchases and sales, start-up costs and
the variable cost of purchase contracts. The fixed component includes DSM costs, incremental
fixed O&M and the real levelized revenue requirement of new generation and transmission
capital.
Nominal Capital Revenue ReQuirement
Traditional capital revenue requirement is largest at the beginning of the asset life and declines
over time as ratebase is depreciated. Capital revenue requirement includes depreciation expense
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Appx J Methodology
return on ratebase, income taxes and property taxes. Figure J.3 depicts the traditional nominal
capital revenue requirements for a $100 000 asset with a 40-year depreciation life and for a
$100 000 asset with a 25-year depreciation life.
Figure J.3 Capital Revenue Requirements
Annual Revenue Requirement
$20 000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
$15,000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
$10 000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - --------------------- - - - - - - - - - - - - - - - - - - - - - - - - - -
$5,000
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
11 13 15 17 19 21 23 25 27 29 31 33 35 37
Years In Service
-+- 25-yr Asset Nominal Rev Reqt --II- 4G-yr Asset Nominal Rev Reqt
The capital structure used above and in the IRP is based on the Utah Rate Order Docket No. 01-
035-, issued September 10, 2001. It consists of the following components from which the
5% discount rate used in the IRP analysis is derived.
Table J.t Capital Structure Components
Capital Structure %Cost %Post Tax
Weighted Cost %
Debt 49.991 088
Preferred Equity 6.182 198
Common Equity 47.11.000 236
Structure Total 100.873 522
Nominal Revenue Requirements Inadequate for Comparison
Nominal capital revenue requirement is limited in its ability to adequately compare one type of
resource asset against another. This is particularly true when the resources being compared have
lives of different lengths, or if the resources are placed in service in different years. For
example, the design life of a new pulverized coal generating plant is 40 years, while a simple
cycle combustion turbine is 25 years. An analysis mismatch occurs unless an adjustment for
end-life effects is made.
Another alternative , although not practical in this case, is to extend the analysis period to a length
of time that results in the "least common denominator" analysis period. One could illustrate this
point with an extreme example. It would take a 200-year analysis to make an equivalent
comparison between the 25-year asset and a 40-year asset. The "least common denominator
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Appx J Methodology
analysis period would result in eight 25-year assets and five 40-year assets so that the analysis
ended with the end-life of both assets. Figure J.2 shows a full 200 years of nominal revenue
requirements for a series of 40-year and 25-year assets. In this example, the Present Value of
Revenue Requirements (PVRR) of both assets is exactly the same. Therefore, if all else were
equal in this example, one would be indifferent over this 200-year analysis period between
owning a series of 25-year resources or owning a series of 40-year resources.
Figure J.4 200 Year Nominal Comparison
200 year Nominal Comparison
200,000
000 000
$800,000
$600 000
$400 000
$200,000
14 27 40 53 66 79 92 105118131144157170183196
Years
40-yr Plant wi replacement - 25-yr Plcrlt wi replacement
Compiling a 200-year analysis is not practical, but it does illustrate a point. If one is indifferent
between assets when considering an "equivalent" analysis period, then what are the results one
gets when looking at a more practical analysis period, say 20 years, as is used in this IRP. Figure
1.5 shows the cumulative PVRR of the above revenue requirements used in Figure J.4.
(Cumulative PVRR is derived by taking the present value of each year s revenue requirement
and adding it to the sum of the previous years ' present value of revenue requirement; all
discounted at 7.5% to a common time.) Only the results of the first 45 years are shown in order
to highlight the earlier years. Over an extended analysis period (200 years), the PVRR of both
assets is the same.
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Appx J Methodology
Figure J.5 45 Year Cumulative PVRR - Nominal
45-yr Cumulative PVRR - Nominal
$200 000
$150 000
$50,000
$100 000
Years
40-yr Plant wI replacement -25-yr Plant wI replacement
Figure 1.5 clearly illustrates the problem with using nominal revenue requirements for comparing
different types of resources. By definition, these assets were valued such that one should be
indifferent. However, as can be seen, depending on the length of the analysis period, the
nominal revenue requirement has created a valuation gap between the 40-year asset and the 25-
year asset's revenue requirement. This could lead to misleading conclusions regarding the
comparative cost of one resource versus another. Nominal revenue requirements, without some
kind of end-effects adjustment, could result in incorrect analysis findings.
End-effect adjustment calculations can be challenging as well. For example, within a 20-year
analysis period, what is the proper adjustment to a 40-year asset and a 25-year asset's cost that
will place the analysis on equal footing? Should the adjustment be made to all years, or just the
last year? Should the net asset value come into play, or should market valuations determine the
adjustment? The answers may be as varied, as there are methodologies that could be employed
to calculate the end-effect adjustment. There is an easier approach that allows for comparative
analysis between resource options. It consists of utilizing real levelized capital revenue
requirement.
Real Levelized Revenue Requirement
Real levelized revenue requirement is a methodology for converting the nominal year by year
revenue requirement into a revenue requirement starting value, that when escalated over the
same time period, will result in a revenue requirement projection that has the same present value
as the nominal year by year revenue requirement. The shape of a real levelized revenue
requirement is that it starts out lower in the initial year and increases at the rate of inflation.
Unlike nominal revenue requirement projections, when a resource is replaced at the end of it'
initial life, the revenue requirement does not take a huge jump, but continues at the rate of
inflation. This coincides with the projected revenue requirements that would be calculated for a
new plant being constructed at the then escalated cost. An explanation of how real levelized
revenue requirements are calculated is addressed in a later section. Figure 1.6 shows the real
levelized revenue requirement for the same two assets that where shown in Figure J.4.
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Appx J Methodology
Figure J.6 200 Year Real Levelized Comparison
200 yr Real Levelized Comparison
200,000
000,000
$800,000
$600,000
$400 000
$200 000
14 27 40 53 66 79 92 105118131144157170183196
Years
40-yr Plant wi replacement -25-yr Plant wi replacement
Because Figure J.6 uses the same assets as Figure JA , the PVRR ofthe revenue requirements are
the same for both assets; hence the reallevelized revenue requirement values for each resource
are the same each year. As mentioned earlier, the replacement of the resources throughout time
does not create huge jumps in revenue requirements. Figure 1.7 is the same representation as
Figure 1.3 , except that here again, the results are presented using real levelized revenue
requirements. One can see that it doesn t matter how long the analysis period is, the comparative
revenue requirement valuation is the same at any point in time.
Figure J.7 45 Year Cumulative PVRR - Real Levelized
45-yr Cumulative PVRR - Real Levelized
$200 000
$150,000
$100 000
$50,000
Years
40-yr Plant wi replacement -25-yr Plant wi replacement
So far, the two resources shown have been placed in service on the same date and have been
priced to come to the same PVRR over an "equivalent" extended analysis period. This has been
solely for the purpose of creating a case that shows that assets of equivalent cost should reflect
that equivalent cost, regardless of how long the analysis period is. Real levelized revenue
requirements provide such a case. The advantage of using reallevelized revenue requirements is
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Appx J Methodology
also extended to an analysis that compares various resources with various lives and various in-
service dates. Reallevelized revenue requirements will capture the comparative economic costs
with respect to one set of resources being compared against another, without the need for end-
effects adjustments.
Comparison to Market Purchases
The year by year nominal capital revenue requirement in Figure 1.3 shows the front-end loaded
revenue requirement for capital investment. How does this compare with the alternative of
market purchases? Any analysis period short of a full asset life-cycle analysis will overstate the
capital revenue requirements in the early years, while leaving the lower cost later years out of the
analysis. With IRP utilizing a 20-year analysis period, using nominal revenue requirements for
resource capital will overstate the comparative cost oflong-lived resources.
Restating the issue a different way, consider two groups of customers in a rising market price
environment. Customer Group A will get to use and pay for a 40-year resource during the
analysis period, say, the first 15 years, and Customer Group B will get to use and pay for the
resource during the remaining plant life, or 25 years. Without some kind of adjustment
traditional or nominal revenue requirements would cause Group A to pay all the higher cost
years, when market price is lower, while Group B would get to pay for all the lower cost years
when market price is higher. This is hardly a fair allocation of resource costs among Customer
Groups A and B when comparing the resource cost to market purchases.
Absent 20120 foresight, any analysis methodology will have its challenges; however, utilizing
real revenue requirement for capital is an improvement over nominal revenue requirements for
comparing resource alternatives with market purchases when the analysis period is shorter than
the life of the resource being considered.
Real Levelized Revenue Requirements Calculation
Table 2 (included after the Summary and Conclusion section) shows an example of how real
levelized revenue requirements are calculated. The example shows an asset with a I5-year life.
The present value of the nominal revenue requirements serves as a starting point.
A "real" discount rate is then calculated by removing the inflation component from the
discount rate.
This real discount rate is used to calculate a levelized payment from the present value of the
nominal revenue requirements.. . hence the name "reallevelized.
The effects of inflation are added back in by escalating the reallevelized payment each year
by the inflation rate.
The present value of the escalated reallevelized revenue requirements is equal to the present
value of the nominal revenue requirements.
Summary and Conclusion
The IRP financial analysis covers a 20-year forecast period. During this forecast period, the IRP
is comparing the alternative resources available to determine the best overall solution to match
resources with projected load. Because many of the potential resources have long economic
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Appx J - Methodology
lives of various lengths, which extend beyond the analysis period, appropriate methodologies
must be used to capture the comparative costs of such capital-intensive investments.
Nominal capital revenue requirements consist of larger values in the earlier years and decline as
ratebase is reduced by asset depreciation. If the asset's life extends beyond the analysis period
this front-end loading will cause an over valuation of the comparative revenue requirements. An
end-effects adjustment could be made , but the value of those end-effects can be difficult to
determine.
An alternative methodology, which is being used in the IRP, is to utilize a reallevelized capital
revenue requirement in the analyses. This eliminates the need for an end-effects adjustment, and
provides a reasonable approach for comparing the revenue requirement of capital resources
against each other and also against market purchase resources.
Although reallevelized revenue requirements are appropriate for the IRP economic analysis in
comparing resource and market purchase alternatives, real levelized revenue requirements may
not fit all analysis situations and would not be suitable for calculating the cost impact to
customer rates or for negotiating long-term electricity sale agreements.
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Appx J Methodology
Table J.2 Real Levelized Capital Revenue Requirement Calculation Example
Real Levelized Capital Revenue Requirement Calculation Example
year Nominal Real Levelized
$19 386 $12 008
$18 233 $12 309
$16 977 $12 616
$15 872 $12 932
$14 886 $13 255
$13 997 $13 586
$13 170 $13 926
$12 362 $14 274
$11 553 $14 631
$10 745 $14 997
$10 013 $15 372
$9,432 $15 756
928 $16 150
423 $16 554
919 $16 968
Present Value ~ 7.$122 612 $122 612
Discount Rate = 7.
Inflation Rate = 2.
Real Discount Rate = (1+discount rate) / (1+inflation rate) - I
= (1 + .075) / (1 +025) - 1
= 4.878%
Formula for first year of reallevelized revenue requirement
= -
Pmt(real discount rate, asset life PV nominal revenue requirement) x (1 +inflation rate)
= -
Pmt(.04878 122612) x (1.025)
$12 008
Second and subsequent years' reallevelized revenue requirement
= prior year reallevelized revenue requirement x (1 + inflation rate)
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Appx K Retail Load Forecasting
APPENDIX K - RETAIL LOAD FORECASTING
INTRODUCTION - METHODOLOGY
PacifiCorp estimates load by customer class in each state and then adding losses to the sum
the customer class loads. PacifiCorp uses different approaches in forecasting different customer
class sales. PacifiCorp also uses different methods to forecast the growth over different forecast
horizons. Near term forecasts rely on statistical time series and regression methodologies while
longer term forecasts are dependent on end-use and econometric modeling techniques. These
models are driven by state level economic forecasts of employment and income provided by
public agencies and commercial econometric forecasting services.
NEAR TERM METHODS
Residential. Commercial. Public Street and Hh!hwav Li2htin2. and Irri2ation Customers
Sales to residential, commercial , public street and highway lighting, and irrigation customers are
developed by forecasting the number of customers in each class and forecasting the use per
customer in each class. The forecast of kWh sales for each customer class is the product of two
separate forecasts: number of customers and use per customer.
The forecast of the number of customers relies on weighted exponential smoothing statistical
techniques and is based on a twelve-month moving average of the historical number of
customers. For each customer class the dependent variable is the twelve-month moving average
of customers. The exponential smoothing equation for each case is in the following form:
St = w Xt + (l-w) * St-
(2) = St *Xt + (l-w) * St
)2)
S?) = S?) *Xt + (l-w) * St-
(3)
where Xt is the twelve-month moving average of customers. The form of this forecasting
equation is known as a triple-exponential smoothing forecast model and as can be derived from
the equations most of the weight is applied to the more recent historical observations. By
applying additional weight to more current data and utilizing exponential smoothing, the
transition from actual data to forecast periods is as smooth as possible. This technique also
ensures that the December to January change from year to year is reflective of the same linear
pattern. These forecasts are produced at the class level for each of the states in which PacifiCorp
has retail service territory. PacifiCorp believes that the recent past is most reflective of the near
future. Using weights applies greater importance to the recent historical periods than the more
distant historical periods and improves the reliability of the final forecast.
23 PacifiCorp relies on state level economic forecasts provided by DRI- WEF A; in addition to state office of planning
and budgeting sources.
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Appx K Retail Load Forecasting
The average use per customer for these classes is done via a regression analysis on the average
use per customer to determine if there is any material change in the trend over time. The
regression equation is of the form
KPCt = a + b*t
where KPC is killowatthours per customer and "t" is a time trend variable having a value of zero
in 1992 and increasing by increments of one thereafter. "" and "b" are the estimated intercept
and slope coefficients, respectively, for the particular customer class. As in the forecast of
number of customers, the data is weighted such that more recent historical periods have a greater
influence on the forecast than more distant historical periods. The forecasts are reviewed for
reasonableness and adjusted if needed. The forecast of the number of customers is multiplied by
the forecast of average use per customer to produce annual forecasts of energy sales for each of
the four classes of service.
Industrial Sales and Other Sales to Public Authorities
These classes are diverse. In the industrial class, there is no typical customer. Large customers
have differing usage patterns and sizes. It is not unusual for the entire class to be strongly
influenced by the behavior of one customer or a small group of customers. In order to forecast
industrial and other sales to public authorities customer loads, these customers are first classified
based on Standard Industrial Classification (SIC) codes, numerical codes that represent different
types of businesses. Customers are further separated into large electricity users and smaller
electricity users. PacifiCorp s forecasting staff, which consults with PacifiCorp customer
account managers assigned to each of the large electricity users make estimates of that
customer s projected energy consumption. The account managers maintain direct contact with
large customers and are in the best position to know about their plans or changes in business
processes that might impact their energy consumption. In addition, the forecasting staff reviews
industry trends and monitors the activities of the customers in SIC code groupings that account
for the bulk of the industry sales. Forecasting staff then develops sales forecasts for each SIC
code group and aggregates them to produce a forecast for each class.
LONG TERM METHODS
Economic and demographic assumptions are key factors influencing the forecasts of electricity
sales. Absent other changes , demand for electricity will parallel other regional and national
economic activities. However, several influences can change that parallel relationship, for
example changes in the price of electricity, the price and availability of competing fuels, changes
in the composition of economic activity, the level of conservation, and the replacement rates for
buildings and energy-using appliances. The long term forecast considers all of these as
variables. The following is a brief discussion of the methodology implemented for the long term
forecast. A more descriptive discussion of the equations and methodology used for the long term
forecast can be found in the Load Forecasting Appendix of the Resource and Market Planning
Program (RAMPP - 3) dated April 1994.
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Appx K Retail Load Forecasting
Economic and Demo2:raphic Sector
Employment serves as the major determinant of future trends among the economic and
demographic variables used to "drive" the long-term sales forecasting equations. PacifiCorp
methodology assumes that the local economy is comprised of two distinct sectors
, "
basic" and
non-basic " as presented in "regional export base theory.
The basic sector is comprised of those industries that are involved in the production of goods
destined for sales outside the local area and whose market demand is primarily determined at the
national level. PacifiCorp calculates our region s share of the employment for these specific
industries based on national forecasts of employment for the industries.
The non-basic sector theoretically represents those businesses whose output serves the local
market and whose market demand the basic employment and output in the local economy
determine.
This simplistic definition of industries as basic or non-basic does not directly confront the
problem that much commercial employment (traditionally treated as non-basic) has assumed a
more basic nature. This problem is overcome by including other appropriate additional national
variables, such as real gross national product in the modeling.
Forecasts of state population are used as forecast drivers. From this forecast a service territory
level population forecast is developed and used
Two primary measures of income are used in producing the forecast of total electricity sales.
Total personal income is used as a measure of "economic vitality" which impacts energy
utilization in the commercial sector. Real per capita income is used as a measure of "purchasing
power" which impacts energy choice in the residential sector. PacifiCorp s forecasting system
projects total personal income on a service territory basis.
Residential Sector
PacifiCorp s residential end-use forecasting model has been developed to forecast specific uses
of electricity in the customer s home. It is a hybrid econometric-end use model. The model
explicitly considers factors such as persons per household, fuel prices, per capita income
housing structure types, and other variables that influence residential customer demand for
electricity. Residential demand is projected on the basis of 14 end-uses. These uses are space
heating, water heat, electric ranges, dishwashers, electric dryers, refrigerators, lighting, air
conditioning, freezers, water beds, electric clothes washers, hot tubs, well pumps and residual
uses. Air conditioning can be either central, window or evaporative (swamp coolers).
For each end use, PacifiCorp looks first at saturation levels (the number of customers equipped
for that end use) and how they may change with demographic and economic changes.
PacifiCorp determines how many new households are expected to adopt that end use (penetration
level) in the future given the economic and demographic assumptions. In addition, the number
of houses that currently have the end use will be removed. Some appliances may be replaced
several times before a home is removed. The shorter lifetime of various appliances compared to
the lifetime of a home is considered. It is also possible that for a particular appliance more than
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Appx K Retail Load Forecasting
one exists within a household. For certain appliances, e., air conditioning, the saturation rate
has been adjusted to account for this occurrence. For other appliances, e., lighting, the
saturation rate is assumed to be one and the usage per appliance for the average household is
adjusted to account for more than one light fixture in the house. In this case the average usage
per appliance represents the lighting electrical usage in the average household.
The basic structure of the end-use model is to multiply forecast appliance saturation by the
appropriate housing stock that is then multiplied by the annual average electricity use per
appliance.
Annual average electricity use per appliance is estimated either by using a conditional demand
analysis or based upon generally accepted institutional, industry and engineering standards.
PacifiCorp models three structure types and two age categories because consumption patterns
vary with dwelling type and age. New and existing homes are separated into single family,
multi-family and mobile home dwelling types.
The models allow PacifiCorp to calculate the number of residential customers separated into new
and existing customer categories. The customers are distributed between the various structure
types and sizes. End uses are forecast for each house and customer category and these are
multiplied by the annual consumption level for each end use. Summing the results gives the total
residential sales.
Commercial Sector
The commercial model is a hybrid econometric-end-use model like the residential model.
forecasts electricity in the same fashion but uses energy use per square foot for seven end uses
among 12 commercial activities.
The seven end-uses are space heating, water heating, space cooling, ventilation, refrigeration
lighting and miscellaneous uses.
Twelve vertical market segments (building types or commercial activities) are modeled:
communications/utilities/transportation, food stores, retail stores , restaurants, wholesale trade
lodging, schools, hospitals, other health services, offices, services, and a miscellaneous category.
The 12 vertical market segments (VMS) are defined based upon Standard Industrial
Classifications (SIC).
Industrial Sector
Unlike many other electric utilities , PacifiCorp s industrial sector is not dominated by a small
number of firms or industries. The heterogeneous mix of customers and industries, combined
with their widely divergent electricity consumption characteristics indicates a substantial amount
of disaggregation is needed in developing a proper forecasting model for this sector.
Accordingly, the industrial sector has been heavily disaggregated within the manufacturing and
mining customer segments.
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Appx K Retail Load Forecasting
The manufacturing sector is broken down into ten categories based on the Standard Industrial
Classification Code System. These are: food processing (SIC 20), lumber and wood products
(SIC 24), paper and allied products (SIC 26), chemicals and allied products (SIC 28), petroleum
refining (SIC 29), stone, clay and glass (SIC 32), primary metals (SIC 33), electrical machinery
(SIC 36) and transportation equipment (SIC 37). A residual manufacturing category composed
of all remaining manufacturing SIC codes is also forecast.
The mining industry, located primarily in Wyoming and Utah, has also been subjected to a
significant level of disaggregation. Separate forecast are completed for the following industries;
coal mining (SIC 12), oil and natural gas exploration, pumping and transportation (SIC 13), non-
metallic mineral mining (SIC 14); there also exists an "other" mining category in some states.
The industrial sector is modeled using an econometric forecasting system.
Other Sales
The other sectors to which electricity sales are made are irrigation, street and highway lighting,
interdepartmental and "other sales to public authorities.
Electricity sales to these smaller customer categories are either forecast using econometric
equations or the sales are held constant at historic levels.
Mereine of the Near Term and Lone Term Forecasts
The near term forecast has a horizon of at most three years while the long term forecast has a
horizon of approximately twenty years. Each forecast uses different methodologies that model
influential conditions for that time horizon. In the case where the forecast of usage for a
customer class appears to be different for the near term and the long term, judgment and
mathematical techniques are implemented in order for the value in the last year of the near term
forecast horizon to converge to the long term forecast at some point in the long term forecast
horizon.
Allocatine Sales Forecasts by Month
The monthly forecast of sales and consumers are developed for each state and customer class
from the annual forecasts produced by either the near-term or long-term models by developing
an average monthly shape using the most recent five-year history. This process captures any
changing trends in usage on a monthly basis. This average monthly shape is then applied
proportionately to the annual forecasts to arrive at monthly numbers by class and state.
System Load Forecasts
The sales forecast for each state is increased by estimates of system line losses to create the
system load forecast. Line loss percentages represent the additional electricity requirements to
move the electricity from the generating plant to each end-use customer.
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Appx K Retail Load Forecasting
System Peak Forecasts
The system peaks are the maximum loads required on the system in any IS-minute period.
Forecasts of the system peak for each month are prepared based on the load forecast produced
using the methodologies described above. The peaks are then forecast for two different times:
the maximum usage on the entire system during each month (the coincidental system peak), and
the maximum usage within each state during each month.
The coincidental system peak forecast utilizes the forecasted system load data, adjusted by
historical coincident factors. The coincident factor is calculated based on the historical peak
divided by the average load in each month. The average of the coincident factor for the last five
years is calculated and is applied to the forecasted system load to arrive at forecasted
coincidental system peaks consistent with the level of the forecasted load.
Hourlv Load Forecasts
Once the annual energy levels are produced they are spread to monthly values using historical
consumption patterns. These are further distributed to daily and hourly shapes on historical
consumption patterns.
Using historical data PacifiCorp establishes average daily and weekly load shapes. The monthly
load is then distributed across the weeks and days of the year using these historical shapes.
These shapes are based on seven years of historical loads. Different shapes are developed for
each of the jurisdictions in which PacifiCorp has load. After the initial distribution there is an
adjustment factor used to calibrate the results to the monthly totals and a calibration to make sure
the values align with historical load duration curves so the pattern is in keeping with historical
usage patterns.
Summary of System Load Forecast
The load forecast used in this IRP reflects PacifiCorp s forecasts ofloads growing at an average
rate of 2.2% annually. The eastern system continues to grow faster than the western system
with an average annual growth rate of 2.2% and 2.0% respectively over the forecast horizon.
There is a change in the growth rates in the east system in the later years of the forecast horizon
due to a reduction of loads in Western Wyoming. There are many natural gas fields in Western
Wyoming served by the Company. These fields are expected to deplete in the coming years and
cease operations. In the base case this occurs after approximately 30 years of gas extraction.
- 364 -
Appx L Renewables/Wind Integration
APPENDIX L - RENEW ABLES/WIND INTEGRATION
Integrating wind energy into PacifiCorp s power system is expected to incur system costs In
excess of that which would be due to an equivalent amount of energy delivered to the system on
firm, fixed schedules. Those additional costs need to be estimated in order to understand the
relative value of wind energy compared with other resources. The methods developed to
estimate those costs are described in this paper, along with the results of applying the methods to
PacifiCorp s system.
BACKGROUND
PacifiCorp currently purchases 83 MW of wind energy from wind resources located in
Wyoming. In addition, PacifiCorp provides integration services for more than 200 MW of wind
power from projects located in Wyoming and along the eastern OregonlWashington border.
PacifiCorp s Integrated Resource Plan portfolios included renewable resources sufficient to meet
its potential obligation renewable portfolio standard under consideration by Congress. Wind
resources in excess of 1 000 MW of installed capacity may be required to meet that standard.
PacifiCorp also evaluated a predominantly renewable energy portfolio for meeting loads that
added another 1,420 MW of wind capability to the system. Control area operators raise serious
concerns regarding the ability of the power system to accommodate resources that vary as
rapidly and unpredictably as wind, especially at these high levels.
Utilities ensure reliability by dynamically responding to imbalances in demand and supply.
Resources are scheduled to ramp in generation when loads are increasing, and to reduce
generation as loads subside for the day-other resources are made available to respond on a near
instantaneous basis. Flexible resources that can change their output over periods of hours and
seconds are key to responding to the rapid changes in loads and unexpected changes in resource
output (outages and derates). It is expected that additions of wind resources will increase the
need for flexible resources to meet reliability standards. One category of flexible resources are
operating reserves-resources that are available on short notice to provide additional power
needed.
The Western Electric Coordinating Council (WECC) sets reliability standards for western
utilities. WECC describes Operating Reserves as follows:
The reliable operation of the interconnected power system requires that adequate
generating capacity be available at all times to maintain scheduled frequency and avoid
loss of firm load following transmission or generation contingencies. This generating
capacity is necessary to:
Supply requirements for load variations
24 WECC Reliability Criteria, August 2002
http://www.wecc.biz/documents/policy/WECC Reliability _Criteria 802.pdf. p 11 O.
- 365 -
Appx L Renewables/Wind Integration
Replace generating capacity and energy lost due to forced outages of generation or
transmission equipment
Meet on-demand obligations
Replace energy lost due to curtailment of interruptible imports
Calculating the quantity of reserves has not been an exact science as practiced in the utility
industry. Many years of experience with thermal and hydro resources has lead to some industry
standards. One such standard is to maintain contingency reserves equal to the sum of 5%
hydro resources and 7% of non-hydro resources operating to meet load on any hour. Clearly this
standard does not take into account either the nature of the load, or the characteristics of
generating resources. For example, an electrical control area comprised largely of industrial
loads may not need the same quantity of operating reserves as a less predictable, largely retail
customer load. Due to its complexity, control area operators do not generally undertake a
complete analysis of operating reserve requirements.
In addition to needing to assure sufficient flexible resources available to meet demand
obligations, PacifiCorp needs to understand the extent to which the system incurs additional
costs due to the relatively volatile and less-predictable nature of wind generation. Those costs
are termed Imbalance Costs for the purpose of this paper
Because of the implications for reliability and PacifiCorp ' s role as control area service provider
PacifiCorp undertook to define methods of assessing both incremental reserve requirements, and
additional dispatch costs due to integrating wind resources on its system. While it is clear that
the methods employed will require future refinements, PacifiCorp feels that they represent a
reasonable approximation for estimating wind integration costs given the characteristics of
PacifiCorp s control areas until further analysis can be undertaken.
IMBALANCE COSTS
Henwood's PROSYM model was used to estimate the difference in system costs26 between firm
contract delivery at constant rates over time, and an equivalent amount of energy from simulated
wind resources. Wind generation fluctuated hourly based on available historical wind data.
The alternatives were tested for wind and contracts separately on the west and east sides of
PacifiCorp s system. The model was run for three future years at five levels of added wind
25 Note that the term Imbalance Cost as used in this paper is consistent with the definition commonly found in FERC
pro-forma transmission tariffs. FERC tariff imbalance costs are calculated based on the net difference in loads and
resources averaged over an operating hour. The determination of Imbalance Cost does not take into account
operating or contractual restrictions that may be associated with transfers into or out of any given load and resource
area within PacifiCorp s system or potential physical or financial ramifications under future market structure rules.
26 System costs = dispatch costs + market purchase costs - market sales revenues27 The hourly wind sites modeled in this study were based on simulated historical hourly generation data from the
Stateline and Foote Creek sites. The two data streams were modified by lagging by one hour and moving data ahead
one hour to create four new data ranges for the model. The two Stateline streams were added together and then sized
to the installed capacity level for the West side site. The two new Foote Creek sites were combined and prorated up
to the various installed capacity levels for the East side site.. A single year of hourly generation was repeated for
each of the three years of the study.
- 366 -
Appx L Renewables/Wind Integration
capacity. The three years did not show a consistent increase or decrease in costs over time. This
result was attributed to resource additions in intervening years. For consistency, PacifiCorp
averaged the three years to estimate imbalance costs.
The results of the analysis are presented in the chart below. The model showed relatively little
difference between the east and west sides of the PacifiCorp system. At wind penetration levels
of 1 000 MW PROSYM reports average imbalance costs of about $3/MWh. This confirms that
costs increase with penetration levels. The costs assessed by PROSYM appear to increase
roughly linearly with installed capacity at the levels tested in the model.
Figure L.1 Wind Imbalance Costs
Imbalance Cost as Function of Installed Wind Capacity
"",~_..e~_..,-.._,.,...~"
-.-.--...-........-.........---......--............-.----.....-............-...-..-.-............--......................---.--......
- 2.on-0 s;u;;:
" ~.g ...
.; ~50.D N
.E
200 400 600 800 1000 1200
Installed Capacity (MW)
. West Cost. East Cost
INCREMENTAL OPERATING RESERVE REQUIREMENTS
Incremental reserve requirements were estimated by comparing the relative dynamic range of
loads with and without wind. The standard deviation of hourly loads for a year was calculated.
A new standard deviation was computed after subtracting out various levels of wind generation.
The fractional difference in standard deviations was taken as an estimate of the increased need
for operating reserves. Results are presented in the chart below. Note that the relative increase
is larger on the west side for a given wind penetration level. This is due to west side loads being
generally lower than on the east side. A given level of wind capability therefore represents a
higher fractional penetration on the west side than on the east. In the range of wind capability
levels examined, the incremental reserve requirement can reasonably be described by a quadratic
polynomial.
- 367 -
Appx L Renewables/Wind Integration
Figure L.2 Wind Incremental Reserve Requirement
110%
100%
90%
Q) E 80%
111 Q)~ '- 70%
Q) .-t ~ 60%
.5 &1 50%
'E: Q) 40%
~ ~
30%'- Q)Q) 111 20%D.. &1 10%
Incremental Reserve Requirement
'My Documents\lRP 2002\Wlnd\(lnw""en'el Res.",e Raquk"",,"s Ce""'eUonx/sJMWh
500 1000 1500 2000 2500
Installed Wind Capacity (MW)
. East Side . West Side Poly. (East Side) Poly. (West Side)
Assuming that the fractional increase in standard deviation of hourly loads with and without
wind is proportional to the increased need for reserves, the incremental need for reserves can be
estimated. Factoring in the cost of reserves results in an estimation of the cost of incremental
operating reserves attributable to wind.
Operating reserves are typically held on hydro units when available, and higher variable cost
thermal units to the extent they are needed. PacifiCorp holds an existing portfolio of resources
that can be arranged from highest variable cost to lowest. Holding reserves on unloaded hydro
units, and above-market-cost thermal units incurs relatively little cost. However, as the need for
reserves increases, the likelihood of having to carry reserves on economic thermal units and
loaded hydro units increases. This means that the costs of holding reserves increases with the
level of reserves being held. Costs of holding reserv~ may increase over time due to increases in
overall market prices . Also important is the type of resource additions over time.
The foregoing makes clear that generally, the cost of reserves is not a linear function. However
at incremental levels examined, the relationship between cost of holding reserves and the amount
held was nearly linear. As a result, the cost per MWh of wind capacity additions will increase
linearly with the added capacity. A formula was developed to express the cost of incremental
reserves required and is displayed below:
28 The cost of reserves also changes over hours and season. The calculation here assumes an average cost over the
year.
- 368 -
Appx L Renewables/Wind Integration
Where Cw = incremental reserve requirement Cost (2002 $/MWh)
p w = installed wind capacity (MW)
f= average wind capacity factor
A = 5.74E-4 East, 2.46E-4 West
B = 0.243 East, 0.365 West
Example
Locate 500 MW of wind capacity in Utah, with a capacity factor of 35%
The Cost per MWh for incremental reserve requirements would be:
000574 X 500 1 .35 + .243/.35 = 1.51 $/MWh
For 1 000 MW at an average 30% capacity factor, the cost would be 2.72 $/MWh.
Similar resources located on the west side would cost $1.39 and $2.04 respectively.
Caveats
The foregoing analysis is thought to represent a reasonable approach to estimating costs
associated with integrating wind resources into PacifiCorp s power system until further analysis
can be performed. Many assumptions have necessarily been made to do this analysis. Some of
the main assumptions include:
1. PROSYM ability to accurately reflect imbalance costs
PROSYM dispatch model logic has complete foreknowledge of wind generation in its
unit commitment logic. This probably leads to undercounting some costs associated with
unit start-ups. The extent of the error depends to some extent on the ability of forecasters
to forecast wind output at least a day in advance. Alternatively, PROSYM assumes a
hydro dispatch without consideration of wind generation. This tends to overestimate the
imbalance costs, especially on the west side of the system where there is a significant
amount of hydro.
2. Operating reserve requirements are proportional to hourly load volatility net wind generation.
This assumption appears to be reasonable, but has no firm theoretical foundation. In fact
it is not clear whether operating reserves represent a sufficient mechanism for integrating
large amounts of wind. For example, it may be necessary to increase system flexibility to
decrease generation, not just increase generation as represented by operating reserves.
Current practice for reserves was developed from many years of operating experience-
experience lacking for large amounts of wind generation. While the analytical
framework for the analysis appears reasonable, experience may well suggest more refined
and accurate techniques for assessing wind integration costs.
3. Cost of reserves remains relatively constant relative to market prices.
- 369-
Appx L Renewables/Wind Integration
The cost of reserves is dependent on the difference between the variable costs of
PacifiCorp s marginal resource and the market price for power. The cost of holding
reserves will tend to increase with high market prices, and decrease with lower market
prices. Costs calculated in this analysis are based on current projections of market prices
and PacifiCorp resource costs and represents a snapshot based on an assumed wind
pattern and market price shape. Further stochastic analysis will likely be required in
order to determine a range of outcomes. The risk model is not yet able to simulate the
stochastic process of wind.
4. Sufficient transmission to fully integrated wind resources with the system.
Wind resources are often located far from load centers. The analysis here assumes wind
resources have strong interconnection with the balance of the system.
5. Intra-hour variability is not significant.
Experience to date suggests the intra-hour variability of wind generation does not result
in a material a cost issue. However, this assumption is based only on the observations of
operations and may change if the wind resoucre capacity is vary large or very centralized.
A high level of intra-hour variability for a given wind project is likely to result in the
need for increased spinning reserves by operators in order to maintain compliance with
then-current reliability criteria. In addition, a high level of intra-hour variability could
introduce financial imbalance risk in the event future market imbalance rules penalize
wind generation in the same fashion as other forms of generation resources.
RTO
Cost calculations are necessarily based on historical practice relative to future price
expectations. The RTO, as discussed in Chapter 3 , represents a significant future
Paradigm Risk. As with any Paradigm Risk, RTO rules and guidelines, when finally
implemented, could affect the cost calculations positively or negatively.
TOTAL WIND RESOURCE COSTS
The foregoing analysis considered system costs specific to integrating wind power facilities into
PacifiCorp s control area. Total system costs of wind power also include power plant and
facility capital costs, operations and maintenance costs, transmission facilities costs, and
consideration of the federal production tax credit and valuation of renewable energy credits
green tags ). PacifiCorp used the following assumptions in arriving at total wind resource
costs.
Wind Resource Cost Assumptions
Capital Costs ($2002/kW)
O&M ($2002/kW)
Economic Life
Transmission Cost ($2002/MWh)
Production Tax Credit ($2002/MWh)
Renewable Energy credit ($2002/MWh)
$1000
$22.
20 years
$2-
($12)
($2)
- 370 -
Appx L Renewables/Wind Integration
Real Discount Rate
Capacity Factor 36% East , 32% west
The range of transmission costs represents uncertainty regarding specific locations. Ranges are
shown for production tax and renewable energy credits. The production tax credit is dependent
on periodic congressional approval, and the renewable energy credit dependent on state and
federal legislation as well as the emerging market for these credits. These issues suggest
considering a range of uncertainty in estimating total wind resource costs. Table Ll puts the
above figures on a per MWh cost basis.
Table L.t Wind Resource Costs per MWh
Capital and O&M (20yr life )JU
Transmission
Integration (imbalance and incremental
reserves)
Production Tax Credit ($18.00 1st 10 years)
Renewable Energy Credits ($5.00 1st 5 yrs)
Total
2002
$/MWh
Low
$40.
$2.
$5.
$12.
$2.
$33.
Average $47.
(Ievelized)
Hi2h
$50.
$6.
$6.
$0.
$0.
$62.
The range of costs is a factor of two , depending strongly on the continuation of production tax
credits and the marketable value of renewable energy credits, and dependent to a lesser degree on
the cost of transmission from favorable wind sites.
SUMMARY
PacifiCorp finds both system balancing costs and incremental operating reserve costs increase as
wind capacity is added to the power system. The east and west sides of the system have different
costs due to different reserve margin costs and relative sizes of the systems. The incremental
Operating Reserve and Imbalance Costs of integrating 1000 MW of wind capacity on either side
of PacifiCorp s system would be roughly $5.50/MWh ($3.00 for imbalance costs, $2.50 for
incremental reserve requirements).
Total system costs for wind resources were assessed from $31/MWh to $62/MWh. The
relatively large range is due in significant part to the uncertainty of government support for the
production tax credits, and the marketable value of renewable energy credits. The range is also a
29 East capacity factors are based on production characteristics from wind plants located in Wyoming. Wind sites
located in Utah or other parts of Wyoming may have a lower expected capacity factor.
30 NWPPC New Resource Characterization for the Fifth Power Plan, August 2002.
- 371 -
Appx L Renewables/Wind Integration
product of the site-specific nature of wind costs (capacity factors, transmission costs, and site
preparation).
Finally, the above results do not directly address the following issues which require additional
analysis:
Project specific interconnection or other expenses that drive the cost of development above
OOO/kW
Contractual or operational limitations associated with PacifiCorp s system that limit the
acceptance and transfer of power into or out of a given load/resource area
The impact of intra-hour production volatility upon PacifiCorp s spinning reserve
requirements
Stochastic variation of production and price levels in order to determine a range of imbalance
cost impacts
Stochastic approach to incremental reserve expenses due to seasonal price and production
variations
The impact upon market liquidity and prices for an entity known by the rest of the market to
have a consistent real-time balancing requirement.
- 372 -
Appx M Glossary
APPENDIX M - GLOSSARY
Ancillary Services: Interconnected Operations Services identified by the Federal Energy
Regulatory Commission (Order No. 888 issued April 24, 1996) as necessary to effect a transfer
of electricity between purchasing and selling entities and which a transmission provider must
include in an open access transmission tariff.
Antithetic Sampling: The meaning of "antithetic" sampling is as follows: In Monte Carlo
techniques a (pseudo) random process is used to generate sample values of a distribution to
represent a shock to a stochastic variable. In sampling values from a normal distribution with
mean 0 and variance I , the antithetic sampling method pairs up iterations. This method exploits
the fact that the distribution is symmetric about the mean. For each random value x selected (in
an odd numbered iteration), the value -x is selected in a corresponding (even numbered)
iteration. For each Monte Carlo iteration the values selected are used in the calculations of the
two- factor lognormal model as described in Appendix H.
The antithetic sampling method speeds up convergence of the sample mean for each of the
stochastic variables simulated, and reduces sample variance, which is a measure of the difference
of the sample mean from the expected value. Antithetic sampling is a fairly common approach
used to increase computational efficiency of Monte Carlo techniques.
Average Demand: The measure of the total energy load placed by customers on a system
divided by the time period over which the demands are incurred.
Base Load: The minimum amount of electric power required over a given period of time at a
steady rate.
Best Available Control Technology (BACT): Emission controls generally required for new
source permitting. The best controls available when considering health, visibility, and
economICS.
Bonneville Power Administration (BPA): A Federal power marketing agency that markets the
power produced by the Federal Columbia River Power System (primarily federally-owned
hydrogeneration facilities) within the Pacific Northwest, and operates a vast network of
federally-owned transmission facilities.
California-Oregon Border (COB): A trading point on the electric grid in the Northwest.
Call Option: the option buyer has the right but not the obligation to call or buy energy and
capacity at specific rates at a defined strike price.
Capacity: The maximum load that a generating unit, generating station, or other electrical
apparatus can carry under specified conditions for a given period of time without exceeding
approved limits of temperature and stress. For purposes of the IRP the capacity of a generating
unit is the maximum load available for dispatch, subject to forced outages, at the discretion of
the operator.
- 373 -
Appx M Glossary
Coefficient of Variation: A relative measure of dispersion equal to the standard deviation
divided by the mean.
Congestion: refers to transmission paths that are constrained, which means limit power
transactions because of insufficient capacity. Congestion can be relieved by increasing
generation or by reducing load.
Congestion Costs: Costs that arise from the redispatching of a system due to transmission
constraints.
Contingency Reserves: 5% of Control Area Demand carried by Hydrogeneration and 7% of the
Control Area Demand carried by the thermal units. See ACE.
Control Area: is a geographical area in which a utility is responsible for balancing generation
and load. PacifiCorp system is modeled as two control areas in the IRP.
Combined Heat and Power (CHP): The use of a single prime fuel source such as reciprocating
engine or gas turbine to generate both electrical and thermal energy to optimize fuel efficiency.
Also known as cogeneration.
Clean Air Act (CAA): Federal legislation enacted to establish standards for the emission levels
of various air pollutants. The CAA was last modified in 1990.
Clean Air Initiative (CAI): Internal PacifiCorp program to identify potential new emission
control regulations and the cost impact resulting for such new requirements.
Clear Power Act (CPA): is a more stringent proposed legislation, with lower annual emission
caps for S02 and mercury than CSA, and an emission cap for CO2.
Clear Power Act (Jeffords Bill or CPA): is a more stringent proposed legislation, with lower
annual emission caps for S02, NOx, and mercury than CSI, and an emission cap for CO2.
Clear Skies Initiative (CSI): Proposed legislation sponsored by the Bush Administration which
reduces emission levels for S02 , NOx, and Hg from the current CAA and would establish cap
and trade systems for NOx and Hg. Does not include an emission cap for CO2.
Combined-cycle Combustion Turbine (CCCT): A electrical generation device powered by
fossil fuel (natural gas), that combines a combustion turbine with a steam turbine to produce
electrical generation.
DOE: United States Department of Energy.
DSM Decrement: Since DSM reduces loads, the effect of increasing DSM is called the DSM
decrement.
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Appx M Glossary
Decrement Value: The expected value associated with a DSM program. The decrement value
for a given year is determined by subtracting the revenue requirement of a portfolio which
includes a given DSM program and from the revenue requirement of the same portfolio without
the DSM program.
Demand: The amount of electric power required at any specific point or points on a system. The
requirement originates at the energy consuming equipment of the consumers.
Demand Forecast: An estimate of the level of energy or capacity that is likely to be needed at
some time in the future.
Demand-side Management (DSM): Methods of managing electrical resources that affect use
rather than generation, of electricity, e., energy efficiency or load control measures.
Deterministic Simulation: A technique by which a prediction is calculated repeatedly using
randomly selected what-if trials. The results of numerous trials are plotted to represent a
frequency distribution of possible outcomes allowing the likelihood of each such outcome to be
estimated (see Stochastic Modeling.
Emissions: relates to chemical compounds released from the burning of fossil fuels, including
mercury (Rg); nitrogen oxides (NOx); sulfur dioxide (SO2), and carbon dioxide (CO2).
Energy Information Administration (EIA): An agency of the U.S. DOE that collects and
publishes statistics and reports regarding the U.S. energy industry.
Energy Policy Act (EPACT): Federal legislation enacted in 1992 to encourage robust
competition in wholesale electricity markets.
Energy Trust of Oregon (ETO): A trust created by Oregon s direct access legislation --
SB1149. The Trust receives funding from a public purpose charge included in retail electric
rates, and administers funding of existing and new DSM programs in Oregon for PacifiCorp
and Portland General Electric s customers in Oregon.
Environmental Protection Agency (EPA): A Federal agency that administers Federal
environmental policies and legal requirements, including the Clean Air Act and amendments
thereto.
Federal Columbia River Power System (FCRPS): The system of generation in the Pacific
Northwest (primarily federally owned hydroelectric facilities) operated by the Corps
Engineers and the Bureau of Reclamation, and marketed by BP A.
Federal Energy Regulatory Commission (FERC): The federal regulatory agency responsible
for interstate electric power transmission, the sale of electric power for resale and the licensing of
hydroelectric plants.
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Federal Power Act (FPA): 1935 Federal act establishing guidelines for federal regulation of
public utilities engaging in interstate commerce of electricity. Among other things, provides for
the re-licensing of hydro projects. See Appendix
Firm Power: means power that can be produced from a hydrosystem under adverse water
conditions. The amount of firm power a hydro system can produce is determined using Critical
Water assumptions
Firm Transmission: means transmission service that may not be interrupted for any reason
except during an emergency when continued delivery of power is not possible.
Fiscal Year: April 1 through March 31.
Forward Price: The price per MWh of electricity at a specific trading point during a specific
future timeframe.
Fuel Cells: A device that generates direct current electricity by means of an electrochemical
process.
Gap: The difference between a load forecast and available resources to meet the load.
Green Tags: A currency used in the energy trade to represent the environmental benefits of
renewable electricity generation. Green Tags are also been called tradable renewable energy
certificates or renewable energy credits.
Grid: The layout of the electrical transmission system or a synchronized transmission network.
Heavy Load Hours (HLH): This refers to the time of day on a system that would be considered
peak demand. Actual hours vary by individual power system. For IRP purposes the heavy load
hours are 7 a.m. to 11 p., Monday through Saturday (6 X 16.
Integrated Gasification Combined Cycle (IGCC): Power generation technology that produces
electrical power by combusting coal in the absence of sufficient oxygen to produce a low- Btu
fuel gas, which is burned in a combined cycle combustion turbine.
Interruptible Demand: The magnitude of customer demand that, in accordance with contractual
arrangements, can be interrupted by direct control of system operator, remote tripping, or by
action of the customer at the direct request of the system operator.
Light Load Hours (LLH): This refers to the time of day on a system that would be considered
off-peak demand. Actual hours vary by individual power system. For IRP purposes, the light
load hours are 11 p.m. to 7 a., Monday through Saturday, and all of Sunday (6X8 + 24 +
Holidays. )
Load Factor: The ratio of average load to peak load during a specific period of time, expressed
as a percent. The load factor indicates to what degree energy has been consumed compared to
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Appx M Glossary
maximum demand or the utilization of units relative to total system capacity, average
demand/peak demand.
Load Following: generally means generation responding to changes in load.
Load Management: The management of load patterns in order to better utilize the facilities of
the system. Generally, load management attempts to shift load from peak use periods to other
periods of the day or year.
Load Profile: Graphical depiction of the quantity of electricity used consumed over a specified
time period.
Load Shape: The variation in the magnitude of the power load over a daily, weekly, monthly or
annual period.
Long Position: Having more resources than load (see "short position
Long-term Drift Rate: The meaning of long-term "drift rate" is the measure of the slope or
trend in the long-term equilibrium value of a stochastic variable. The drift rate is calculated
within the model from the equilibrium values and is not a user-specified parameter.
Maximum Achievable Control Technology (MACT): Emission limitation for new sources
means the emission limitation which is not less stringent that the emission limitation achieved in
practice by the best controlled similar source , and which reflects the maximum degree of
deduction in emissions that the permitting authority, taking into consideration the cost
achieving such emission reduction, and any non-air quality health and environmental impacts
and energy requirements, determines is achievable by the constructed or reconstructed major
source.
Megawatt (MW): Unit of electric power equal to one thousand of kilowatts.
Megawatt-hour (MWh): A unit of electric energy, which is equivalent to one megawatt of
power used for one hour.
Merchant Generators: Non-utility suppliers including co-generators, small power producers
and independent power producers acquiring, developing and owning power plants and marketing
their output.
Mid-Columbia: Trading hub for electricity located in central Washington near the mid-
Columbia hydro projects.
Multi-State Process (MSP): in April 2002 , PacifiCorp and interested parties from across the
company s service area initiated an investigation into challenges faced by PacifiCorp as a multi-
state utility. The parties entered into a MSP to develop and review possible solutions to those
challenges.
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National Marine Fisheries Service (NMFS): This Federal agency manages marine commerce
including harvest of Ocean species and is responsible for implementation of the Endangered
Species Act when it applies to species that inhabit the Ocean, including anadramous Salmon that
populate the Columbia River system. NMFS is significantly involved in the operation of the
FCRPS to protect threatened and endangered species.
Nominal Capital Revenue Requirement: Capital revenue requirement calculated by applying
traditional ratemaking calculations. Nominal capital revenue requirement is largest when an
asset is first placed in service and declines over time as ratebase is depreciated. (See Real
Levelized Revenue Requirement)
Nonfirm Transmission: is transmission service that may be interrupted in favor of Firm
Transmission schedules or for other reasons.
Non-spinning Reserve: Off-line generating capacity that can be brought on-line within 10
minutes.
North American Electric Reliability Council (NERC): organized to provide coordination in
operating and planning a reliable and adequate electricity system.
Northwest Power Planning Council (NWPPC): A federal entity created by Congress as part of
the 1980 Northwest Regional Power Planning Act. The intent was to give the citizens of Idaho
Montana, Oregon and Washington a stronger voice in managing the electricity generated at and
fish and wildlife affected by the Columbia River Basin hydropower dams.
Notice of Proposed Rulemaking (NOPR): A reference to a proposal issued in draft form by
FERC, usually subject to comment and change before promulgated as a regulatory rule.
Off-peak: See LLH.
Operating Margin: The Hourly Operating Margin, after unit forced outage , and is based on
WECC Operating Reserves to cover Contingency Reserves and Regulating Reserves.
Open Access Same-time Information System (OASIS): Established by FERC in 1996 via
Order 889. Transmission providers are required to separate their wholesale power marketing and
transmission operation functions and maintain an electronic bulletin board, or OASIS, to provide
information on transmission availability and to make transmission available to the owning utility
and others on an equal footing.
Oregon Senate Bill 1149 (SB 1149): The Oregon legislation enacted in Oregon is commonly
still referred to by its original Senate bill number: SB 1149. This legislation provides for direct
market access for commercial and industrial electric customers served by PacifiCorp and
Portland General Electric in Oregon. It also requires these two electric utilities to collect from its
Oregon retail customers a public purpose charge equal to 3% of revenues to support programs
implemented by the Energy Trust of Oregon.
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Appx M Glossary
Palo Verde (PV): A trading point on the electric grid located near the Palo Verde nuclear
generation facility in southern Arizona.
PIRA: An international consulting firm that also publishes regular reports and markets statistical
databases for oil, gas and electric power.
PNW: The Pacific Northwest.
PacifiCorp East: PacifiCorp s eastern control area, covering its power system in Utah, Idaho
Wyoming (excluding the Jim Bridger Plant) and power plants and associated transmission in
Arizona and Colorado.
PacifiCorp Power Marketing (PPM): PacifiCorp unregulated marketing affiliate.
PacifiCorp West: PacifiCorp s western control area, covering power system in Oregon
Washington and California, including the output of the Jim Bridger Plant (located in Wyoming)
and PacifiCorp s share of Co 1st rip in Montana.
Paradigm Risks: For purposes of the IRP, Paradigm risks include those risks which cannot be
reasonably represented by a number. Similarly, Paradigm risks do not vary according to a
known statistical process. Paradigm risks are typically associated with large shifts in market
structure or business practices, such as introduction of R TO and SMD.
Planning Margin: The Planning Margin selected is 15% of the annual peak hour when the loads
plus long-term firm sales minus long-term firm purchases result in the largest requirement on the
system. This target reserve level assumed to provide sufficient future resources to cover forced
outages, provide operating reserves regulatory margin, and demand growth uncertainty.
Portfolio: In the context of the IRP, a collection of resource options, existing and new, designed
to meet PacifiCorp s expected short position.
Power Marketers: Those who buy and sell electricity as independent intermediaries.
Power Purchase Agreement (PP A): Shaped energy products, usually tied to an asset, that
PacifiCorp considers purchases from a credit-worthy market participant.
Present Value of Revenue Requirements (PVRR): The sum of year by year revenue
requirements, discounted at an after-tax cost of capital to a common date. The PVRR takes into
account the time value of money such that different projections of costs of various timing and
magnitude can be evaluated on a comparable basis. (see "W ACC"
Profiled Wind: A wind resource modeled with a production shape reasonably representative of
the resources expected physical output, e.g. without any associated firming or shaping provided
by a third party.
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Appx M Glossary
Production Tax Credit (PTC): tax credit available to renewable energy options (see Green
Tags.
Public Utilities Holding Company Act (PUHCA): Federal legislation designed to work in
tandem with the FPA (see FPA). PUHCA and FPA of 1935 addresses issues that arose regarding
electric holding companies. PUHCA is an act relating to the structure of utilities. It defines what
a holding company is, how it is regulated, and limits the kinds of businesses that a holding
company can engage Ill.
Public Utilities Regulatory Policy Act of 1978 (PURP A): Federal legislation to promote
independent resource development, including renewable resources and cogeneration, and to
reduce utility reliance on imported oil (see Appendix A.)
Put Option: the right but not the obligation to put or sell energy and capacity at specific rates at
a defined strike price.
Qualifying Facilities (QF): A designation created by the PURPA act of 1978 for non-utility
power producers that meet certain operating, efficiency and fuel use standards set by the FERc.
Real Levelized Revenue Requirement: This is a methodology for converting the nominal year-
by-year revenue requirement into a revenue requirement starting value that, when escalated over
the same time period, will result in a revenue requirement projection that has the same present
value as the nominal year-by-year revenue requirement (see PVRR.
Regional Transmission Organization (RTO): Pursuant to FERC Order 2000 , PacifiCorp is
participating with other transmission providers in the formation of a regional transmission
organization known as "R TO West. "
Regulating Reserves: 175 MW to control frequency to ACE tolerance
Renewable Portfolio Standard (RPS): The proposed RPS requires electricity suppliers to
include renewables as a certain percentage of their power generation mix.
Resource and Market Planning Program (RAMPP): previous PacifiCorp IRP study effort.
Restated Transmission Services Agreement (RTSA): Agreement with Idaho Power Company
providing, among other things, up to plus or minus 100 MW of Dynamic Overlay Control
Service, and bi-directional transfers of 104 MW of power and energy between PacifiCorp
Wyoming System and PacifiCorp s Utah System.
Retail: Sales covering electrical energy supplied for residential, commercial , and industrial end-
use purposes. Other small classes, such as agriculture and street lighting, also are included in this
category.
Scenario Risks: In the IRP, Scenario risks include those risks which can be reasonably
represented by a number (parameter). However, parameter variability cannot reasonably be
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Appx M Glossary
explained by a known statistical process. For purposes of evaluation, Scenario risk parameters
are manually adjusted (or stressed) to test the impact of their variation upon modeling results.
Such testing is typically used to evaluate an abrupt change in risk factors (e.g. changes in carbon
taxes ).
Shaped-products: PPA agreements, which try to match the purchased energy to PacifiCorp
load requirements.
Short Position: Being obligated to deliver a commodity or instrument, as opposed to owning the
commodity or instrument, for example, having fewer resources than load (see "long position
Short Term Market: Short-term firm purchases and sales covering longer period than next day
to next week transactions that are handle in spot market (see Spot Market).
Short-run Mean Reverting Variations: These are variables that deviate and revert to the mean
in the short-run. Within the two-factor lognormal model described in Appendix H there is
short-run component and a long-run component. Only the short-run component incorporates a
statistically estimated mean reversion parameter that the model utilizes in determining a
stochastic variable s value. Stochastic variables will exhibit mean reversion in the short-run
when the mean reversion parameter is non-zero.
Skew: A characteristic of a probability distribution which is not symmetric. For example a
positively skewed distribution (with respect to PVRR) is characterized by many smaller than
expected outcomes and a few extremely higher than expected outcomes. When distributions are
positively skewed, the mean is observed to be higher than the median.
Simple-Cycle Combustion Turbine (SCCT): A combustion turbine, fueled with fossil fuel
(natural gas) used for the generation of electricity without the recovery of waste heat.
Spot Market: As conventionally defined, the spot market refers to day-ahead and real-time
purchases and sales of electricity. .The IRP defines spot market more broadly to include market
purchases and sales, outside of existing long-term contracts and pursuant to the model dispatch
logic.
Standard Industrial Classification (SIC): A set of codes developed by the Office of
Management and Budget, which categorizes business into groups with similar economic
activities.
Standard Market Design (SMD): Proposed FERC Legislation, NOPR RMI-12-000, July 2002
suggests that all load serving entities must meet minimum capacity reserve planning margin of
12% or face potential penalties.
Stochastic Data Input Tools: In the stochastic modeling process, the model equations require
that various input parameters be specified. Within the IRP document references to "stochastic
data input tools" refer to tools used to perform statistical analysis on historical data. These tools
assist a modeler in obtaining input parameters through ordinary least squares (OLS) regression
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Appx M Glossary
techniques. Henwood licenses a spreadsheet tool to accomplish this task. The "stochastic data
input tools" are precisely those tools used in the statistical analysis discussed in the section
entitled "Stochastic Parameters: Short-Term" of Appendix H.
Stochastic data input tools should not be confused with Monte Carlo random draws. As
described in Appendix H, the Monte Carlo random draws are part of the technique that provides
the shock to the variable that is characterized by the model equation and its requisite input
parameters.
Stochastic Modeling: statistical method that uses variability in pricing similar to that
expected or historically observed, rather than steady trends, to predict outcomes (see
Deterministic modeling.
Stochastic Risk: For purposes of the IRP, Stochastic risks include those risks which can be
numerically represented and whose variability can be reasonably represented by a known
statistical process. Stochastic risks are typically associated with business as usual variability in
underlying parameters, such as variations in power price
Swap: an exchange of cash flows between a seller and the buyer. The seller owns capacity and
energy at a fixed price and has exposure if market prices move lower.
System Benefit Charge (SBC): A charge included in utility rates to be used for the benefit of
utility customers for certain programs, such as encouraging renewable resources or energy
efficiency; in Oregon, collected by investor-owned utilities, and administered by the Energy
Trust of Oregon.
Tolling Option: An arrangement whereby a party moves fuel to a power generator and receives
kilowatt-hours in return for a pre-established fee.
Transition Benefit: The positive difference between a resource s value , whether determined by
administrative valuation or by the sales price in an auction and the sum of that resource s net
book value and F ASB 109 asset and inventory balance , minus any Pre- ER T A ITC divided by (1-
tax rate). Also referred to as "stranded benefit or stranded cost"
S. DOE: The Federal Department of Energy, which administers Federal energy policies and
programs.
Utah Bubble: The Utah "Bubble" in the IRP context is defined by the cut-plane into Utah. To
the south, three lines: Four Comers to Pinto to Huntington 345 kV, Harry Allen to Red Butte to
Sigurd 345 kV and Glen Canyon to Sigurd 230 kV. To the north, Path C and Naughton to
Monument 230 kV. To the west: Pavant to Gonder 230 kV and Intermountain to Gonder 230 kV.
To the east, Upalco to Carbon 138 kV and Bonanza to Mona 345 kV.
Value at Risk (V AR): The worst portfolio loss that can be reasonably expected to happen over a
specified horizon under normal market conditions , at a specified confidence level (such as 95%
or 99%).
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Appx M Glossary
Vertical Market Segments (VMS): Building types or commercial activities defined based on
standard industrial classification.
W ACC: Weighted average cost of capital. The after-tax W ACC of 7.5% was utilized as the
discount rate throughout the IRP in calculating present value of revenue requirements (PVRRs).
WECC: Western Electricity Coordinating Council (formerly known as the Western Systems
Coordinating Council, or WSCC); an organization that works with its members to assess and
enforce compliance with established criteria and policies for ensuring the reliability of the
region s electric service.
Western Regional Air Partnership (WRAP): is a multi-stakeholder process led by states
industry, federal land managers, Native American tribes and environmental groups to improve
air quality in the west.
Wheeling: has loosely meant one utility transmitting power generated by another utility or
generator to a customer of the generating utility.
Wholesale Sales: Energy supplied to other utilities, municipals, Federal and State electric
agencies, and power marketers for resale ultimately to customers.
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Appx N Standards and Guidelines
APPENDIX N - STANDARDS AND GUIDELINES
PACIFICORP COMPLIANCE WITH IRP STANDARDS AND GUIDELINES
Back2round
Least-cost planning (i., Integrated Resource Planning) guidelines were first imposed on
regulated utilities by State commissions in the 1980s. Their purpose was to require utilities to
consider all resource alternatives, including demand-side measures, on an equal comparative
footing, when making resource planning decisions to meet growing load obligations. Integrated
Resource Planning (IRP) rules were also intended to require utilities to involve regulators and the
general public in the planning process prior to making resource decisions, rather than after the
fact.
PacifiCorp is required to prepare an IRP in the States where it provides retail service. While the
rules among the States vary in substance and style, there is a consistent thread in intent and
approach. PacifiCorp is required to file an IRP every two years with the state commissions. The
IRP must look at all resource alternatives on a level playing field and propose a near-term action
plan that assures adequate supply to meet load obligations at least cost, while taking into account
risks and uncertainties. The IRP must be developed in an open, public process and give
interested parties a meaningful opportunity to participate in the planning.
This Appendix provides a discussion on how PacifiCorp complies with the various State
Commission IRP Standards and Guidelines in the preparation of this IRP. Included at the end of
this Appendix is a matrix that provides an overview and comparison ofthe rules in each State.
General Compliance
PacifiCorp prepares the IRP on a biennial basis and files the IRP with the State Commissions.
The preparation of the IRP is done in an open public process with close consultation of all
interested parties, including Commissioners and Commission staff, customers, and other
stakeholders. This open process provides parties with a substantial opportunity to contribute
information and ideas in the planning process, and also serves to inform all parties on the
planning issues and approach. The public input process for this IRP, further described in
Appendix B, fully complies with the Standards and Guidelines.
The IRP provides a framework and plan for future actions to ensure PacifiCorp continues to
provide reliable and least-cost electric service to its customers. The IRP evaluates, over a
twenty-year planning period, the future loads of PacifiCorp customers and the capability of
existing resources to meet this load.
To fill any gap between changes in loads and existing resources, the IRP evaluates all available
resource options, as is required by State Commission rules. These resource alternatives include
31 The IRP rules in Wyoming and California are not summarized in the matrix. The Wyoming requirements are
discussed in the appendix. PacifiCorp is not required to file a resource plan in California, but IRP issues are
addressed in the rate making process.
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Appx N Standards and Guidelines
supply- and demand-side alternatives. The evaluation of the alternatives in the IRP, as detailed in
Chapter 5 , meets this requirement.
The resource alternatives are evaluated on a consistent and comparable basis. The evaluation
the alternatives include factors including impact to system costs, operations and reliability, and
the impacts of numerous risks, uncertainties and externality costs that could occur. To perform
the analysis and evaluation, PacifiCorp employs a suite of models that simulate the complex
operation of the PacifiCorp system and its integration within the Western electric system. The
models allow for a rigorous testing of all the available resource alternatives available to
PacifiCorp. The analytical process, including the risk and uncertainty analysis, fully complies
with IRP Standards and Guidelines, and is described in Chapters 3 , and 6.
The IRP analysis is designed to define a resource plan that is least cost, after consideration of
risks and uncertainties. To test resource alternatives and identify a least-cost, risk adjusted plan
portfolios of resource options were developed and tested against each other. This testing
included examination of various tradeoffs among the portfolios, such as capital requirements vs.
risk, and varying levels of reliability. This portfolio analysis and the results and conclusions
drawn from the analysis are described in Chapters 7 and 8.
The IRP Action Plan is provided in Chapter 9. Consistent with the Standards and Guidelines, the
Action Plan details near-term actions that are necessary to ensure PacifiCorp continues to
provide reliable and least-cost electric service. The Action Plan also describes PacifiCorp
approach to procurement, and how it will adapt to changing circumstances as the future unfolds
and uncertainties are resolved or evolve. Further, the Action Plan considers licensing and
permitting activities so that PacifiCorp can take advantage of opportunities and can prevent the
premature foreclosure of options. The IRP also provides a progress report that relates the IRP to
previously filed plans in Appendix P.
The IRP and this Action Plan are filed with each Commission with a request for prompt
acknowledgement.
Idaho
This IRP is submitted to the Idaho PUC as the Resource Management Report on the resource
planning status ofPacifiCorp. As discussed above, the IRP fully addresses the Existing Resource
Stack, Load Forecast and Additional Resource Menu elements, as required by the Idaho PUC'
rules. The IRP also evaluates DSM using a decremental approach, as discussed in Chapter 5 and
Appendix G. This approach is consistent with using an avoided cost approach to evaluating
DSM as set forth in the Idaho rules.
Oregon
This IRP is submitted to the Oregon PUC in compliance with its rules to perform Least-Cost
Planning. As noted in the Oregon rules, this IRP is relevant to subsequent rate-making. When
the IRP is acknowledged, it will become a working document for use by parties in a rate case or
other proceeding. We seek acknowledgement of the IRP and specific elements of the Action
Plan.
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Appx N Standards and Guidelines
The IRP complies with the process and substantive elements of the Oregon Least-Cost Planning
rules. This overall compliance is discussed above. The IRP also includes a significant
improvement in the evaluation of risks and uncertainties, compared to previous plans.
PacifiCorp is strongly in support of recent Commission interest in working together to
understand and manage the many risks and uncertainties associated with planning and ensuring
resource adequacy.
The Oregon rules expressly require that competitive secrets must be protected. In this IRP
process, PacifiCorp has taken this confidentiality requirement very seriously, and has protected
certain information that is commercially sensitive, through protective orders or other appropriate
measures.
The Oregon rules require the consideration of the role of competitive bidding in planning for and
acquiring new resources. PacifiCorp is proposing a Procurement Program subsequent to this IRP
as an element of implementing the Action Plan. Competitive bidding will be an important
element of this Procurement Program. This is discussed further in Chapter 9.
This IRP is also consistent with the energy policy of the state of Oregon, as expressed in ORS
469.010. In particular, as can be noted in Chapter 9, PacifiCorp is proposing a detailed Action
Plan that has strong elements of energy efficiency improvements and development of
permanently sustainable (i., renewable) resources. There are also no inconsistencies with the
regional plan of the Northwest Power Planning Council, which is currently undergoing revision.
Utah
This IRP is submitted to the Utah Public Service Commission in compliance with its Standards
and Guidelines for Integrated Resource Planning. The IRP complies with the process and
substantive elements of the Utah rules, as is generally discussed above.
The Utah rules state the IRP process should result in the selection of the optimal set of resources
given the expected combination of costs, risk and uncertainty (emphasis added). During the
public involvement discussions, there was concern raised with the change in modeling tools
because with this change, PacifiCorp lost the IRP analytical capability to automatically select
among resource options and build an optimal portfolio. PacifiCorp agrees that the modeling
framework might benefit from portfolio optimization logic, but building that capability into the
modeling capability for this IRP was not attainable. PacifiCorp is committed to exploring this
modeling refinement in the coming months, as it makes decisions on what analytical tools to
adopt for future resource plans.
The Utah rules do not expressly define the word optimal. However, the rules do include
considerable discussion on the need to weigh alternative resource risks, uncertainties and
externalities. The rules further point out that not all important factors, such as externalities, lend
themselves easily to quantification and should be treated qualitatively in the plan. The rules also
express the importance of including in the plan a discussion of how the Action Plan would adapt
to different resource acquisition paths for different economic circumstance... as the future
unfolds and considerations permitting flexibility.
..
so that the Company can take advantage of
opportunities and can prevent the premature foreclosure of options. These elements of the Utah
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Appx N Standards and Guidelines
rules reinforce that the IRP cannot produce an optimal plan through modeling logic alone. In the
selection of the resource strategy, PacifiCorp must take into account qualitative information and
professional judgement, as well as quantified analytical results. The need to remain flexible as
the future unfolds is equally important because the future will undoubtedly be different from
what we forecast in the IRP. For all these reasons, this IRP complies with the Utah Standards
and Guidelines, including the requirement to produce an optimal plan.
Consistent with the Utah rules, PacifiCorp determination of A voided Costs will be determined in
a manner consistent with the IRP , with the caveat that the costs may be updated if better
information may become available.
The Utah rules stress the importance of a strong relationship between PacifiCorp s business plan
and its IRP. PacifiCorp agrees. In the past year, PacifiCorp has made significant improvements
to its resource planning organization and methods. These measures have strengthened the
alignment of PacifiCorp s business planning, regulatory requirements, resource planning,
resource procurement and system operations. A Resource Planning function was created and
organized in the Commercial and Trading department to ensure integration with PacifiCorp
resource procurement, trading and risk management functions. New models were developed to
ensure the IRP uses a robust analytical framework to simulate the integration of new resource
alternatives with PacifiCorp s existing generation and transmission assets, to compare their
economic and operational performance. The methodology also accounts for the uncertain future
by testing resource alternatives against measurable future risks and possible paradigm shifts in
the industry.
The Utah rules require an analysis of the role of competitive bidding for resource acquisitions.
PacifiCorp is proposing a Procurement Program subsequent to this IRP as an element of
implementing the Action Plan. Competitive bidding will be an important element of this
procurement. This is discussed further in Chapter 9.
The Utah rules also call for the identification of who should bear such risk, the ratepayer or the
stockholder. This discussion is included in Chapter 3 of the IRP.
The Utah rules call for an evaluation of cost-effectiveness of the resource options from the
perspectives of the utility and the different classes of customers, and a description of how social
concerns might affect cost effectiveness. This discussion is also included in Chapter 3.
The Utah rules call for an evaluation of the risks associated with various resource options. The
IRP includes a significant improvement in the evaluation of risks and uncertainties, compared to
previous plans. PacifiCorp is strongly in support of Commission interest in working together to
understand and manage the many risks and uncertainties associated with planning and ensuring
resource adequacy.
The Utah rules call for a narrative describing how current rate design is consistent with the IRP
goals and how changes in rate design might facilitate the IRP objectives. The Company
current retail rates are consistent with many objectives and support the goals of providing
reliable and least-cost electric service to our customers. Residential customers have available
both time-of day and inverted rates. These rates, under the requirements of cost of service
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Appx N Standards and Guidelines
regulation, meet the additional requirements of minimizing bill impacts on customers , while
providing both daily and seasonal price signals. Commercial and industrial customers have
available both standard demand and energy rates and time of day offerings. These also provide
price signals to customers while minimizing bill impacts.
Changes in rate design may facilitate resource planning objectives. In times of resource deficit
in particular, more steeply inverted rates may discourage additional consumption. Any changes
in rate design, however, will need to be assessed under the additional requirements of customer
impacts, simplicity, stability and fairness.
Utah guidelines require PVRR to be expressed in terms of total resource costs. PVRR values
provided in the report are based on total utility costs. Total resource costs can be found by
adding $81 384 458 to all PVRRs provided herein.
Washington
This IRP is submitted to the Washington Utilities and Transportation Commission (WUTC) in
compliance with its rule requiring least cost planning. The IRP complies with the process and
substantive elements ofthe WUTC rules, as is generally discussed above.
During the course of developing this IRP, the WUTC requested that PacifiCorp provide a State-
specific resource plan, as well as a system-wide, integrated resource plan. PacifiCorp agrees that
the modeling capability to look at State-specific resource plans would be a valuable addition, but
building that capability into the modeling capability for this IRP was not attainable. PacifiCorp
is committed to developing this capability for future resource plans.
This IRP does evaluate resource needs, alternatives, performance and cost for each control area
region ofPacifiCorp. While this does not completely meet WUTC's request, the east-and west-
side analysis has been portrayed to give as much information as possible. WUTC staff has
assured us that providing this level of detail is sufficient compliance for this IRP. Chapters 7 and
8 address these issues.
Wyoming
On October 4 2001 , the Public Service Commission of Wyoming stipulated that PacifiCorp is to
file an annual resource planning and transmission report. This IRP is submitted to the Wyoming
Commission for its information and in partial compliance with this stipulation. The IRP
complies with the resource planning elements of the stipulation, as is generally discussed above.
In addition, PacifiCorp will file annually, by March 31 , a Resource Report that provides the
current status of the IRP process and how it relates to Wyoming, and describes current
transmission projects in the state of Wyoming.
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3
9
2
-
Appx 0 - Response to Comments
APPENDIX 0 - RESPONSE TO COMMENTS
COMMENTS ON THE DRAFT REPORT AND P ACIFICORP'S RESPONSE
The IRP report was distributed in draft form to the public participants in October 2002, and, after
public discussion, written comments were requested by November 27, 2002. PacifiCorp
received comments from 21 parties. The final report reflects careful consideration of comments
received. Additional comments will be considered in future iterations of the resource planning
process. This Appendix summarizes the substantive comments submitted by the parties, and
offers PacifiCorp s response. A list of the commenting parties is provided.
Ovtimalitv and Finality
Several comments critiqued the lack of automated optimization logic as a component of the IRP
analysis. UEO states a need to test a wider range of Portfolios to manually iterate to least cost
and suggests another iteration ofthe draft report prior to finalizing the plan. UCCS also suggests
more time is needed to refine the analysis and Action Plan. UCCS also states the failure to use
an optimizing logic means that a least cost Portfolio cannot be obtained with certainty. LWF
echoes the concern with lack of an optimization tool. The UPSC states that the IRP does not
search for the least-cost, or optimum, resource acquisition, and consequently the IRP must
carefully explain how the Plan can meet that requirement of the IRP standards and guidelines.
The IPUC notes, however, that resource planning is a dynamic, ongoing effort that must be
continually pursued, and that the Action Plan must retain some flexibility.
Response: PacifiCorp is committed to exploring improvements to its IRP analytical tools going
forward, including adopting a feature to automate the optimization of Portfolios. However
PacifiCorp disagrees that lacking this model feature, the IRP fails to fully comply with the IRP
standards and guidelines. A Portfolio can not be found to be optimal by automated model logic
alone, but is subject to qualitative and professional judgement and balancing for risks and
uncertainties. The "business rules" which underpin the automated optimization logic are key.
Stating that the "lack of automated resource addition logic" weakens the results is not necessarily
helpful. Appropriate, realistic, pragmatic and computationally feasible business rules are vital.
This is no mean task and the present method of qualitative and professional judgement is an
adequate surrogate for such business rules at this point. We know this is true from the "flatness
of the PVRR response surface. Clearly we are very near if not at the optimum.
Condensing qualitative and professional judgement into rules and computer logic while
simultaneously balancing for risks and uncertainties is far from a straightforward task. For
example, since there are multiple constraints and more than one objective function (least cost and
lowest risk at a minimum), the optimum will be extremely sensitive to the relative cost of these
externalities - deciphering model results when resources are added automatically can be
misleading. Additionally, in "real life" the results can be path dependent (for example, you
might not add a wind resource until you had sufficient operating reserves in place first).
Any IRP can also only be determined to be optimal based upon the best available information at
a point in time. As circumstances evolve and as better information is obtained, the resource plan
- 393 -
Appx 0 - Response to Comments
may very well need to be adjusted. The ongoing improvement in resource planning and the need
to maintain a degree of flexibility are reflected in the Action Plan. This IRP is being submitted
for acknowledgement by the PUCs, to comport with the biennial-filing requirement under
existing rules. However, as part of Action Plan implementation and through ongoing resource
planning activity, the plan will likely evolve over time. Compliance with the least cost planning
features ofthe IRP standards and guidelines is further discussed in Appendix N.
Action Plan Specificity
Several parties called for a more specific Action Plan. The WPSC noted the use of soft verbs in
the Action Plan, suggesting the Action Plan appeared to be describing another iteration of
resource planning. The WPSC called for an Action Plan that identifies the actions that are
critical to achieving near-term results or are critical path steps toward a future achievement. The
UEO states the Action Plan must be very specific in terms of the type and magnitude of all
resources that the Company is committed to acquire, with special attention to near term actions.
While the UCCS notes the need to retain flexibility as an element of resource planning, it too
criticized the Action Plan as too vague. OOE and RES both call for more clarity and specificity
in the planned actions to develop renewables, with OOE suggesting a minimum annual target
would be more meaningfully acknowledged by regulators.
. Response: PacifiCorp has made a number of revisions to the Action Plan to address this issue.
Some decisions are clear, implementable and timely. These have been identified, defined and
slated for action. Other decisions have been identified that depend on future events (Clean Air
legislation, Renewables legislation, more clarity on state preferences, the developing natural gas
to coal price ratio, etc.) and have been scheduled for future analysis and execution. That is only
prudent and it would be pretentious to assume we know the future with respect to items such as
these. The Action Plan strives to strike a balance between the need for specifics, particularly on
near term or critical path activities, with the need to retain flexibility to adopt to changing
circumstances.
Action Plan Must Follow Analytics
Many parties pointed to the possible disconnect between the analytical results and the Action
Plan. The UDPU states the Action Plan must be clearly tied to the analytics, and asks for a better
explanation ofthe decision criteria for the proposed direction regarding Portfolio choice. It notes
the decision criteria are not clearly developed in the draft IRP. The UCCS notes the Portfolio
chosen in the Action Plan ranked third in performance, based on PVRR, and questions whether a
customer perspective drove the decision to adopt it. The UEO states that the Action Plan must
follow clearly and logically from the various types of quantitative and qualitative analyses, in a
way that participants can understand and agree make sense, even if not all parties agree with all
aspects of the judgments made.
Response: As discussed in the Final Report, a number of revisions to the Portfolio analysis have
been adopted. The Action Plan is now designed based upon the best performing, least cost
Portfolio from the perspective of the customers. The Action Plan is also revised, as discussed
above. PacifiCorp hope these changes address the concern that the linkage between the analytics
and the Action Plan is clear and logical.
- 394-
Appx 0 - Response to Comments
Procurement and RFPs
The USM asserts that the IRP seems slanted to direct the development of resources that will
provide rate base to PacifiCorp, and calls for consideration of the potential of development with
other utilities and expansion ofnon-PacifiCorp developments. UAE states the IRP does not take
into sufficient account the potential for projects owned by other utilities, independent power
producers or end-use consumers. DPEC comments focus on the potential for it to provide supply
through its long-term excess power supply, or through expansion of its facilities or others. UAE
comments that an indispensable prerequisite to any future plant construction, acquisition or
repowering is an effective RFP process.
Response: PacifiCorp s IRP is not intended in any way to be slanted toward build, toward buy
or toward a specific fuel source. No decision is being made in this IRP to build any specific
resources, and it is clearly stated that no preference is predetermined between asset ownership
options versus power purchase contracts. The IRP has determined the need for resources with
considerable specificity, and identified the desirable Portfolio and timing for procurement. As
the Action Plan is implemented, subsequent decisions will be made on a case-by-case basis
between competing resource options. These options will be fully developed using a robust
Procurement Program, including an effective RFP process. A discussion of the intended
Procurement Program is included in the Action Plan of the IRP.
Multi-State Process
The UCCS stated that the results of the MSP should not be a factor in the IRP, because
PacifiCorp is required to produce a least cost plan regardless of what results from the MSP.
USM echoed this perspective , stating the MSP may direct who would develop additional
resources but should not inform what the least cost development direction should be. USM also
commented the discussion of MSP creates appearance problems.
On the other hand, the UDPU states the Action Plan should clearly describe the link between
MSP and IRP , and calls for a detailed explanation of the risk of failure of the MSP process to
reach a favorable conclusion. This could include a MSP timeline and discussion of potential
impacts of the process on IRP decisions or implementation of the Action Plan. WPSC also calls
for elaboration of the linkage between IRP and MSP, and how short term action planning will
proceed with and without MSP clarity. The UDPU further comments that the IRP should
provide direction and clarity to the MSP process.
Response: PacifiCorp agrees with commenters that the two processes serve distinct, different
purposes, and for this very reason the two processes have been organized and operated
separately. At the same time, the Final IRP report continues to point out the clear
interdependencies of the IRP and MSP. Any successful IRP effort must satisfy system-wide
needs and constraints, must be acceptable to individual states and key parties, and must be
financable. In development of the Action Plan, the presumption is that a favorable (i.
acceptable to all parties) MSP outcome will occur. Failing this, many items in the Action Plan
would be revisited. That said, the fundamental need for additional resources identified in the
IRP is unlikely to change significantly due to any MSP outcome.
- 395 -
Appx 0 - Response to Comments
System-wide Plannin!!
The UDPU states its expectation that PacifiCorp will continue to be operated on an integrated
system basis and that resource planning should be consistent with this assertion. It asks for a
clarification on this question.
Response: The IRP is developed as a system-wide, integrated resource plan. PacifiCorp
expectations for resource planning and operations are consistent with the UDPU stated
expectation.
Renewable Resources
There were many comments on the analysis of renewable resources in the Draft IRP. Several
commenters were supportive of the attention being given to this resource alternative. RES was
supportive of the results and suggested sources for wind integration studies that could further
inform the IRP. The UCEA noted the Renewables Portfolio was shown to be the best overall.
NRDC also stated the Renewables Portfolio was both least cost and least risk. SCUC advocates
adoption of the Renewables Portfolio. L WF comments that the draft fails to justify adopting the
Renewables Portfolio. RNP called the draft IRP a sophisticated approach to resource planning
and a significant step forward for renewables. RNP also noted the RPS is a prudent
consideration, but not the reason alone to justify inclusion of renewable resources in the chosen
Portfolio. NRDC and LWF both echoed the view that the RPS should not be the exclusive
emphasis for including renewables in the portfolios. RNP and NRDC both propose a more
aggressive "front loading" of renewables in implementing the Action Plan. The UEO noted
there are many uncertainties surrounding the implementation of large amounts of wind power
called for in the Renewable Portfolio, but asserts the IRP analysis does not provide a sufficient
basis for not basing the Action Plan directly on the Renewable Portfolio. SLC calls for
aggressive pursuit of program options to improve the understanding of renewable resources and
reduce the risks associated with full implementation of the Renewable Portfolio.
The IPUC is skeptical about the level of renewables and its cost effectiveness. Despite the
Renewables Portfolio s apparent superiority, the IPUC calls for a reality check on what can
realistically be achieved in developing renewables. UAE also stated the Renewables Portfolio
cannot credibly be projected to be least cost. The IPUC also stated the assumed federal RPS is
presumptuous and a No-RPS stress test must be shown. The UPSC also asks for additional stress
tests comparing the results of the Portfolios when both the RPS assumption and the CO2 tax
assumptions are removed. The UCCS also endorses further analysis of the potential costs and
risks of renewables if a RPS is not passed of if the capacity cannot be economically or
completely obtained. The UDPU also questioned the level of Renewable investment embodied
in all the Portfolios to comport with a RPS level, and called for a justification of this level of
renewables in all Portfolios. The UDPU also noted an apparent inconsistency with the
Renewables Portfolio being lowest cost, given the study results showing a substantial system
savings if the RPS were abandoned. The IPUC also notes the impact of RTOs on the
construction and availability of transmission for wind projects should be addressed.
Several assumptions were called into question. RES and NRDC both state the Green Tag
assumption was too conservative (assuming a RPS is adopted), while the IPUC stated it was
probably too optimistic. The UCCS and NRDC both noted no capacity credit was given to
- 396 -
Appx 0 - Response to Comments
renewable resources, understating the benefits of renewable additions. The WPSC noted a RPS
would lead to technology improvements and economies of scale, and the IRP should explicitly
state that this has not been factored into the analysis. The wpse questioned whether the risks
associated with renewables were being adequately considered. The IPue questions the flat wind
integration assumption, pointing out a supply curve approach would better approximate the
expectation that wind integration costs would likely increase with the size of the resource
procured. The IPUe also noted the fuel cell assumption in the Renewable Portfolio appears
overly optimistic.
The uecs calls for further examination and modeling of renewables. RES suggested discussion
of the pros and cons between owning or contracting for wind would be helpful. The UDPU
suggests an incremental analysis of renew ables , rather than the with- and without-RPS analytical
approach that was undertaken.
Response: PacifiCorp appreciates all the contributions of the parties as it has endeavored to
develop a more robust understanding of the opportunities to develop renewable resources as an
element of its portfolio. The proper analysis of renewables is highly quantitative and Pacifieorp
believes that we have done this properly and fairly. The Final IRP report reflects a number of
changes to the analysis of renewables, which are discussed at length in that document.
PacifiCorp is evaluating renewables consistently with other resource options in the Final IRP.
Renewables continue to playa very important role in PacifiCorp s resource development plans
as reflected in the Action Plan.
Geothermal Resources
The IPUC stated the solicitation for Renewables should not be limited to wind, but should pursue
geothermal opportunities too, suggesting the Raft River geothermal site in Idaho should be
considered as one alternative. USM also noted significant cogeneration potential exists that
appears to be ignored in the Draft IRP. seue also noted cogeneration (i., CHP) can be viewed
as an important energy saving program to be considered in an IRP. UAE also asserts
cogeneration was given insufficient attention in the IRP. On the other hand, WDO comments
that from the perspective of geothermal power development, the new IRP is distinctly
encouraging for moving to increase power production at the Blundell Plant in southwest Utah, as
well as stating intentions to gain new increments of geothermal power going forward.
Response: PacifiCorp agrees that geothermal resources can be clean, reliable and cost effective
and will continue to pursue opportunities to procure this resource as part of its ongoing activity
to implement the Action Plan.
DSM Resources
The UDPU stated that DSM evaluation has been greatly improved in the current IRP. IDPU and
L WF state their support for the decremental approach to evaluating future DSM levels. UDPU
suggests it be updated regularly as actual programs are developed. SEEP also comments that the
decremental approach, with details to be determined later, is reasonable provided there is
appropriate follow-up. Others called for further analysis of DSM. The uces suggested a cost
comparison of the historical DSM programs to evaluate for cost effectiveness in light of the new
programs being proposed. The UDPU also suggested using cost effectiveness of current DSM
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programs as a benchmark against future activities. The UEO states that the DSM analysis, and
its precise contribution to the Action Plan, needs to be finalized before the IRP is finalized. The
UEO suggests a cumulative DSM amount of 600 MW (peak) by 2008 is achievable and cost
effective. NRDC believes the DSM target understates the opportunities and urges a complete
system-wide assessment of DSM potential as soon as possible and a commitment to prompt
midcourse adjustments in the Action Plan based upon the results. SCUC also calls for a more
aggressive approach, including possible legislative changes. L WF also calls for more definitive
commitments to DSM in the Action Plan. Some existing programs are only planned to operate
for one to three years , and SEEP recommends all programs now underway should be continued
through 2012 in the IRP.
The UDPU commented that the transmission and distribution avoided cost associated with DSM
should be calculated and are important to identifying program cost effectiveness. SEEP calls
exclusion of avoided distribution investment as a benefit of DSM a significant flaw that should
be corrected. The UEO proposes a value of $0.015/kWh saved for avoided distribution and
transmission costs. UCCS also noted the DSM benefit is understated because no capacity credit
is given to low capacity factor DSM programs.
The UAE comments that the IRP pays insufficient attention to demand reduction as potential
DSM alternatives. It suggests many larger customers may desire an opt-out provision, as an
alternative to facing the costs of new resource development. Interruptible tariffs are also
suggested as an IRP option that was ignored. The UAE states the IRP should consider such
options and analyze the likely impacts. USM also states potential DSM from the industrial
sector is omitted, suggesting some industrial operations have the capability to work within class
1 DSM options. The OOE also advocates an examination of real time pricing and critical peak
pricing as additional demand response programs to consider.
The UDPU raises the concern that underlying DSM assumptions are not fully articulated in the
IRP document, and calls for additional information regarding ramp-up assumptions for each
program and the basis for the design of the programs. UDPU also states that more detail from
the DSM/EE Task Force should be clearly identified in the report.
SEEP suggests it would be appropriate and correct to make estimates of the energy savings and
peak load reductions from non-utility programs, such as the Northwest Energy Efficiency
Alliance and the Energy Trust of Oregon. The UDPU notes that PacifiCorp is cooperating with
the ETO as the responsibility and funding for these programs is transferred. It suggests this
transition should be addressed in the IRP.
The WPUC asks whether the DSM target is too ambitious and whether the risk of DSM under
delivery been adequately considered.
Response: As with Renewables, the proper analysis of DSM is highly quantitative and
PacifiCorp believes that we have done this properly and fairly. Specific actions have been
included in the action plan that address concerns regarding DSM RFPs, quantification of the
realistic DSM market, and new program design and initiation. Specific evaluation of potential
transmission and distribution deferral benefits is not included in this IRP. These types of
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benefits are geographically specific , based on the local transmission and distribution system
growth rate and the local concentrated effects of DSM programs. PacifiCorp is not applying a
general, system-wide transmission and distribution saving. Specific investment needs must be
identified for deferral just as this IRP identified specific generation investment that the DSM
decrements could defer if implemented. As specific programs are designed, local transmission
and distribution benefits will be considered if they can result is the deferral of identified
transmission and distribution investment.
SUDDly-Side Resources
The UPSC requests that tables in the report summarizing supply-side resources be expanded to
include all items presented in previous RAMPP studies, and include formulas for derivation of
each column displayed. A better explanation of the lead-time required for baseload gas
resources is also requested by the UPSC. UPSC and IPUC both also look for more detailed
descriptions of each of the Portfolios. The IPUC also notes that gas fired reciprocating engines
are not included as a potential supply-side resource.
Response: The tables summarizing supply-side resources has been expanded and is located in
Appendix C.
Solar Resources
SLC, LWF, and SCUC all call for serious consideration programs to support solar photovoltaic
development, calling particular interest in a rooftop pilot program in the Salt Lake City area.
Response: A solar photovoltaic resource program will be considered as part of the new program
designs to fill the planning decrements as outlined in the action plan.
Coal
A number of parties expressed concern with possible development of new coal plant. RNP
comments that it does not support including a coal plant as a possible Action Plan item, calling it
extremely risky and shortsighted, especially in light of the heavy reliance on coal in the existing
resource base. This comment was echoed by NRDC, SCUC , and LWF. The OOE questions the
need to option Hunter 4 at this time, reasoning that this was a decision that could be deferred
until the next IRP.
OOE notes that Integrated Gasification Combination Cycle (IGCC) technology has lower
emissions of criteria air pollutants and to the extent coal is considered, stronger consideration of
IGCC should be included. NRDC commented that the discussion in the draft IRP on IGCC is
out of date and does not justify leaving this technology out of the analysis. L WF also noted
IGCC has significant environmental advantages over pulverized coal.
The UCCS comments that the analysis of Eastern (i.Wyoming) coal and transmission
upgrades is inadequate.
Response: PacifiCorp is committed to exploring all options that may lead to providing least cost
resources for the future. Because of low fuel cost, coal-fired generation historically has been a
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least-cost generation option. Increasing emphasis on the long-term impacts of the impacts of
atmospheric emissions are casting doubt on the viability of a heavy dependence on coal-fired
generation for a significant portion of new resources and even continued reliance on coal-fired
generation for existing electricity supply. To the extent that these environmental influences enter
decision-making gradually, the abundance of the coal resource suggest that coal-fired generation
will be among the low cost options in the future. The least cost option is dependent upon the
impact of a number of such Paradigm risks including CAI, RTO, MSP and global warming. CAI
and global warming specifically impact the low cost fuel choice for thermal resources. The IRP
base case assumptions currently contemplate CAI and global warming outcomes that suggest.
coal may continue to be part of the United States fueling strategy. Coal-fired generation may be
particularly advantageous for utilities acquiring resources in the Rocky Mountains because coal
is an abundant indigenous resource. For example, Utah and Wyoming have significant coal
resources that could be used for fueling new mine-mouthed power plants. Such plants have
proven to be some of the most economic base-loaded power producers in the country. These
plants are consistently dispatched before most other generation options with the exception of run
of the river hydro and nuclear facilities. For example, dispatch costs (fuel and variable O&M)
for the proposed Hunter 4 unit run less than $8/MWhr while a gas-fired combined-cycle plant
(the most efficient gas plant) will dispatch at about $24/MWhr, based on $3.00/million Btu gas.
Hunter 4 was specifically mentioned in the portfolios and in the IRP Action Plan. Work done to
date indicates that this plant, if built, would be one of the more efficient and low cost new
generation facilities in the western US , even under most carbon assumptions. If built, the
proposed Hunter 4 unit would be constructed with Best Available Control Technology (BACT)
equipment and the Hunter Station as a whole, including a new Hunter 4 unit, would emit less
S02 and NOx than the three-unit plant currently does.
PacifiCorp understands the risks and the benefits associated with coal plant operation. The
Company recognizes that from time to time operational problems do occur in coal plants, but this
is true of gas-fired combustion turbine facilities and wind farms as well. In addition, coal plant
operational risks compare very favorably to market purchase and credit risk exposure and
particularly well to gas volatility risk exposure. If base case environmental assumptions change
due to factors such as federal legislation, state specific legislation, differing relative fuel
economics or technologic shifts, clearly the economic viability of coal-fired generation may
change.
PacifiCorp believes it has adequately addressed the risks of future carbon constraints, based on
our current understanding of these risks , by adding a carbon value to plant production in the base
case portfolio analysis and by running sensitivities on this parameter. Even with such carbon
values, coal plants remain a low-cost option.
In summary, it would be imprudent for PacifiCorp to omit coal as one of the least-cost
alternatives for further work in the IRP Action Plan.
IGCC as a Coal Plant Option
PacifiCorp has investigated and studied coal gasification since the early 1980's. The Company
has been a member of the Utility Coal Gasification Association, now the Gasification Users
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Association (UGA), since the early 1980's as well and has been on the UGA board for the last
six years. PacifiCorp has had the opportunity to visit all the major gasification demonstrations in
this country and some overseas. Through gasification meetings, including the recent Coal
Gasification Conference held in October 2002 PacifiCorp has kept informed of the current status
and limitations of this technology. Based on numerous contacts, knowledge and experience
PacifiCorp believes that Integrated Gasification Combined Cycle (IGCC) coal technology is not
yet ready for full-scale commercial application. Furthermore, many others in the industry share
this conclusion.
However, PacifiCorp also believes that reliable, full-scale, commercial gasification will be
achieved as both US and overseas IGCC plants gain more experience and establish improved and
sustainable capacity factors. Average capacity factors to date have been around 75%. PacifiCorp
recognizes that IGCC vendors are willing to guarantee capacity factors of 85% or more - but
only with the addition of expensive spare gasifiers and associated equipment. PacifiCorp
believes that the higher capacity factors with single-train equipment will be achieved over the
next few years but until that has been proven, the Company will not be ready to commit to an
IGCC facility. Permitting, design and construction of such a plant will require about five years.
Adding these two time periods together puts IGCC beyond the 2010 to 2012 time frame.
PacifiCorp believes that two technical issues with respect to IGCC should also be understood.
First, siting an IGCC plant in Utah or Wyoming near the coal resources (at plant elevations of
4500 feet or more) will result in combustion turbine de-ratings that will effectively increase plant
production costs by as much as 15% to 20%. Second, SO2 and NOx emission levels are
essentially the same for IGCC and new coal plants with BACT as shown by the demonstration
plants being operated today. CO2 emissions are about 9% better for IGCC than for conventional
coal. IGCC technology provides an opportunity to remove CO2 from the flue gas for potential
deep-well sequestration. This technique adds additional geographic constraints to siting an
IGCC facility and would add dramatically to operating costs.
In conclusion, PacifiCorp believes that IGCC is a promising new technology but that it is not
fully proven as a commercial technology. The Company does keep current with ongoing IGCC
technology and experience. As this technology matures, as better reliability is proven and as
emission improvements are made and demonstrated, IGCC will be considered in the least-cost
planning of the IRP.
Eastern Coal
PacifiCorp s early screening of Portfolio options ruled out Eastern coal as a practical option due
to the high cost of integrating the resource with new transmission. It is possible that an
aggressive R TO future could provide sufficient transmission to reverse this conclusion, but
according to the present analysis, such costs would need to be socialized over a large base than
just PacifiCorp customers.
Airshed Issues
The WCAC is concerned that inadequate weight was given to concerns about current and
potential non-attainment status for PMlO, PM2.5 and Ozone along the Wasatch Front. Installing
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new electrical generation in the urban airshed is especially problematic, WCAC states, because
the times of unusually poor air quality are also times of peak power usage.
Response: PacifiCorp is acutely aware of the air quality issues along the Wasatch Front.
PacifiCorp recognizes that improving air quality is a critical issue if any new resource is to
built along the Wasatch Front, assuming that is detennined to be the most prudent and cost
effective decision.
Any new generation facilities built within the non-attainment areas along the Wasatch Front will
be equipped and operated to meet the Lowest Achievable Emissions Rate (LAER). As a result
the emissions control equipment must meet the most stringent emissions limitation achievable
from such a category or source. In addition to the need to meet LAER constraints , will be the
need to provide "offsets" for mitigation. In other words, the addition of the new resource must
effectively cause a net reduction in air emissions. To the extent practicable and achievable
PacifiCorp will utilize emissions offsets derived from both actual and recent emissions
reductions obtained from other generating assets or process industries. PacifiCorp expects that
the decision to proceed with a new Wasatch Front resource will be accompanied by retirement of
all or part of the existing Gadsby steam generating units or some other older, less efficient
resource. The development of new generating resources along the Wasatch Front, accompanied
by the concurrent retirement of the Gadsby, or other generating facilities, will not only result in
an improvement in the airshed, it will also result in development of more efficient generation
facilities, reduced transmission losses, and decreased water consumption.
Climate Chanee
SCUC, LWF , NRDC, SLC, and OOE all raised concern that the risk of climate change is urgent
and serious, and not adequately considered in the draft IRP.
Response: There is substantial uncertainty regarding the shape and timing of any future
requirements on emissions of carbon dioxide (CO2) and other greenhouse gases. While CO2
caps or other requirements are proposed in several multipollutant bills, there is no clear evidence
that carbon restrictions are imminent in the US. Even in the midst of this uncertainty, PacifiCorp
has chosen to include "carbon adders" as part of the IRP analysis. The range of carbon values
serve as a surrogate for the variety of CO2 emissions constraints that could be imposed on the
company in the future. It is the company s view that risks to the company and to our customers
of future carbon constraints are too great to ignore and it is for this reason that we have explicitly
included them in the IRP planning effort.
Transmission
Comments on transmission analysis included the following. The UCCS states that the
Transmission Portfolio was not adequately analyzed. In order for a fair analysis to occur
benefits such as wheeling revenues must be included as well as costs. The UCCS also argues
that modeling only finn transmission, rather than how the system is operated, contributes to the
east side/west side planning, rather than integrated system-wide planning. UCCS seems to
suggest some level of non- finn transmission could be relied upon in planning to meet finn loads.
The IPUC also commented that the assumption that new transmission would be built without
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Appx 0 - Response to Comments
participation by third parties seems unrealistic. The UDPU states it is unclear why more
transmission constraints emerge on the East side of the system as opposed to the West.
Response: The IRP analysis modeled PacifiCorp s firm transmission rights, plus the 500MW
each for west and east of non-firm spot market purchases/sales. The non-firm assumption is
deemed appropriate based on actual operating experience. Wheeling rates were applied to non-
firm transmission usage for both purchases and sales. Modeling non-firm between control areas
deemed unpractical, as long-term availability is unclear/unreliable. The IPUC comment
necessitating 3rd parties involvement is noted, and is consistent with RTO principals.
Risk Analvsis
The WPSC commented that the Western power crisis is unlikely to be repeated and therefore
insufficient reason to be overly cautious in risk analysis. UAE also expressed concern that the
IRP generally places undue emphasis on avoiding risk. While consideration of risk is a very
important factor, it states avoidance of risk comes at a very high price and may be detrimental to
customers and the public interest.
Several noted the risk of relying on merchant plant development is unstated. The IPUC suggests
risks associated with purchases from developers of merchant plants should be addressed. The
UDPU notes that risk analysis only applies to the build option, and a comparative risk analysis
should be performed on the buy option. DPEC also comments that the IRP fails to acknowledge
the risks associated with dealing with merchant developers. OPUC suggested that hedging be
discussed as a risk management tool. The IPUC opines that a discussion of whether capital
intensiveness of some Portfolios is a risk in itself, and assessing this in the tradeoff between
capital and risk a factor. OOE raises concern with the conclusion that the risk analysis showed a
preference for the Coal/Gas portfolio compared with the Gas/Coal options. RES also questioned
whether risk analysis justified not electing the Renewables Portfolio as the preferred option.
The UPSC comments note the risk discussion is arcane, and called for an effort to translate it into
lay terms or provide a glossary of technical terms. The UDPU also noted confusion is caused by
the inconsistent usage of terms, and in particular the terms risk and uncertainty. UCCS and
NRDC both raised concern with comparing the 5th and 95th percentile and to consider using other
metric to compare risk between Portfolios from the customers' perspective. The UDPU suggests
a discussion on the methods and products to mitigate price volatility is warranted in the IRP.
Response: PacifiCorp will continue to evaluate risks and uncertainties as a central element of its
resource planning, and notes it is an element in the Standards and Guidelines in many PacifiCorp
jurisdictions. Judgements such as "the Western power crisis is unlikely to be repeated" are
proscriptive and do not belong in analysis that includes stochastic estimates of future price paths.
The IRP resource strategy and Action Plan have not been overly influenced by this risk analysis
however. As is noted in the Final report, the quantified risk analysis was not a large factor in
evaluating among Portfolios. Unquantified paradigm risks may playa more important role as the
future unfolds during the course of implementing the Action Plan. PacifiCorp will strive to make
the discussion of risk analysis less arcane and user-friendly and we believe improvements have
been made in the filed IRP document.
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Appx 0 - Response to Comments
As is discussed in the report, the declining merchant sector is an important consideration. As the
Action Plan is implemented, the risks of merchant counterparties will be evaluated on a project
by project basis. Such analysis is an important component of the build vs. buy decision process
discussed in the plan.
PacifiCorp has and will continue using hedging risk management tools as the Action Plan is
implemented. A discussion of the hedging strategy is provided in Chapters 2 and 9.
PlanniDl! Man!in
The UDPU notes the 15% planning margin is simply based on potential SMD outcomes. Given
the importance of the assumption, it suggests Pacifi Corp perfonn a loss of load probability study
to detennine an optimal planning margin. The IPUC noted the need for more clarity on how the
15% planning margin relates (or does not relate) to the hourly operating margin. The UEO
comments that the Action Plan should clearly state exactly what value for the planning margin
will be maintained, pending SMD or other changes.
Response: The planning margin used throughout the IRP process has been 15% (with the
exception of the " 1 0%" stress cases) and was based on potential SMD outcomes. The planning
margin is created for long tenn planning purposes. The calculation for the long tenn planning
margin takes into account the need for an hourly operating margin. In the modeling dispatch a
7% operating reserve is held to cover the thennal plants on the system and a 5% operating
reserve is held to cover the hydro plants on the system.
PacifiCorp will continue to assess the magnitude of planning margin required to ensure safe
reliable, low cost energy for the customer. Part of this assessment will include loss of load
probability studies. The risk analysis completed in the IRP does test the perfonnance of the
portfolio under varying load levels to ensure the portfolio can meet the requirements.
The need for assessing the planning margin has been included as an action item in the Action
Plan.
Spot Purchases
The UCCS views the decision to limit market exposure to 5% of total hours as arbitrary and
considers it to be a regulatory risk management tool. It recommends additional analysis of the
5% criterion. The IPUC also questioned the 5% or less assumption and asks how capping spot
market purchases at 500 MW may compare to historical practice. UAE also seriously questions
the assumed 5% limitation on spot market purchases and believes this limitation has the effect of
artificially inflating the apparent need for new resources.
Response: The decision to limit expected spot purchases to 5% or less of each year s hours was
based on input from the public input process. Original requests were to plan to build to cover
100% of position. PacifiCorp believes building or buying to cover 100% of the position (the
needle peak hour) is excessively conservative; EFOR alone can account for more than 5% for the
duration.
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Appx 0 - Response to Comments
The 5% limitation was also observed to mitigate the risk associated with power price volatility.
Power price volatility can be considerable. It is true that minimization of power price risk favors
being long power more often than being short since prices are unbounded on the upside, but
cannot be negative under current market rules. However, a long position, or even a 100%
coverage position, requires either more owned or controlled capacity or a large amount of both
shaped purchases or call optionality. These positions can be structured and can be cost effective
but this is a very fine level of detail to be shown in an IRP. The 5% limitation is not inconsistent
with a prudent spot market exposure, which PacifiCorp is now successfully managing. Recent
market experience supports this. Filling the 5% short with peak hour block purchases will create
shoulder hour length that will have a high probability of being surplus. This relatively small
short position (approximately 5%) is favored on the basis of prudent commodity risk
management.
Load Transfers
DPEC states that PacifiCorp stipulated (as a merger condition) to entertain good faith offers to
transfer loads to cooperative utilities in Utah and Wyoming, and asserts the IRP should include
detailed public analysis of the system-wide effect of transferring identified pockets of load to
reduce future demand on PacifiCorp resources. The WPSC comments that the assumption that
no major industrial customers will leave the system for the life of the plan should be listed as a
key assumption, especially in light of the efforts to allow them this choice.
Response: PacifiCorp remains open to receiving good faith offers. However, as a planning
matter, PacifiCorp strongly feels it must plan adequate resources to meet its load obligations.
There is no requirement to evaluate disposal of service territory or of customers as part of
resource planning Standards and Guidelines. The uncertainty associated with PacifiCorp s total
load is sufficiently recognized in the load forecast risk analysis. If there are any load transfers in
the future, these will be taken into account in future resource plans. The assumption of no loss of
major industrial customers due to retail access is noted as a key assumption.
Load Forecasts
The UDPU suggests including more detail on the models used to develop the retail load
forecasts , and an explanation of how the short term and long term models are linked.
Response: PacifiCorp has included more detailed discussion of load forecast modeling in
Appendix K of the final IRP.
Rate Impacts
The UCCS states the IRP has not sufficiently shown what the rate impacts of the Portfolios will
be on customers. UAE also comments that the IRP fails to provide a meaningful or
understandable explanation of the potential customer rate impacts.
Response: PacifiCorp has addressed the customer impacts in the final report, and note that some
parties commented that rate impacts of Portfolios were not developed. This level of detail is not
a requirement of the IRP rules.
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Appx 0 - Response to Comments
IRP Standards and Guidelines
The UPSC pointed out areas in the Utah Standards and Guidelines that were not explicitly
addressed in the draft IRP. These include: 1) a discussion of risks borne by customers versus
ratepayers; 2) an analysis of the role of competitive bidding; 3) a plan of different resource
acquisition paths as circumstances unfold; 4) a description of how current rate design is
consistent with the IRP goals; and, 5) a discussion of whether PVRR is utility cost or total
resource cost. Some of these deficiencies were noted by UCCS, too. The UDPU asserts the
draft IRP is not consistent with the Utah Standards and Guidelines because it is not the least-cost
plan. They also contend that the process was not fully open to the public because some data was
considered highly sensitive. The UDPU suggests the document should describe the reasoning for
this deviation from the Standards and Guidelines.
Response: The deficiencies have been noted and have been repaired in the Final IRP, through a
combination of additional text in the body of the report, and a summary of the compliance to the
rules in Appendix N. PacifiCorp disagrees with the UDPU contention that the IRP has not
complied with the requirement to develop a least cost plan. This is discussed in the Optimality
and Finality discussion above, and in more detail in Appendix N. The UDPU assertion that the
IRP has not been developed in a fully public process is unjust. PacifiCorp has devoted serious
effort and attention to involve the interested public in the development of the IRP. The public
involvement process is fully described in Appendix N. Moreover, as a further means for
ensuring the public participants would be informed by data used in the planning which is indeed
commercially sensitive, PacifiCorp utilized confidentiality agreements and protective orders to
facilitate this involvement, while protecting customers from potentially negative consequences
associated with making this data generally available. In sum, PacifiCorp believes the Final IRP
is in full compliance with the Standards and Guidelines.
PARTIES WHO PROVIDED WRITTEN COMMENTS
DPEC - Deseret Power Electric Cooperative
IPUC - Idaho Public Utilities Commission staff
LWF - Land and Water Fund of the Rockies, Utah Clean Energy Alliance, and American Wind
Energy Association
NRDC - National Resources Defense Council and Northwest Energy Coalition
OPUC - Oregon Public Utility Commission staff
OOE - Oregon Office of Energy
RES - RES North America
RNP - Renewable Northwest Project
SEEP - Southwest Energy Efficiency Project
SLC - Salt Lake City
DCUC - Sierra Club , Utah Chapter
UAE - Utah Association of Energy Users
UCEA - Utah Clean Energy Alliance
UCCS - Utah Committee of Consumer Services
UDPU - Utah Division of Public Utilities
UPSC - Utah Public Service Commission staff
UEO - Utah Energy Office
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Appx 0 - Response to Comments
USM - US Magnesium LLC
WCAC- Wasatch Clean Air Coalition
WDO - William L. D'Olier
WPSC - Wyoming Public Service Commission staff
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Appx P Performance on RAMPP-6 Action Plan
APPENDIX P - PERFORMANCE ON RAMPP-6 ACTION PLAN
OVERVIEW
This Appendix will summarize the performance on the RAMPP-6 action plan from August 2001
- December 2002.
In the RAMPP-6 action plan, the Company discussed how uncertainties in the market place
demand a flexible approach to the short-term action plan. Events since then have done nothing
to reduce that uncertainty. Recognizing the difficulty of determining a definitive action plan, the
Company focused on three key issues:
1. The cost-effective amount of energy efficiency for 2001 and 2002.
2. The decision year for development of new resources.
3. The risks associated with development of new resources.
In June 2002, the Company was required by a Commission order in Utah (Docket 98-2035-05) to
file an update to the RAMPP-6 action plan using updated assumptions. The updated action plan
included results of updating key assumptions, some of the near-term planning requirements the
Company is facing, and transmission issues. A short-term action plan was developed that
included:
1. Re-establishment of an independent IRP Organization.
2. Construction of Gadsby Peakers.
3. Ongoing DSM efforts
4. Release of an RFP for an air-conditioning load control program.
5. Power contracts entered into as a result of an RFP for new resources.
6. Establishment of a tiered rate structure for summer months in Utah.
DSM GOALS FROM RAMPP-
The DSM goals from RAMPP-6 were to acquire and implement cost-effective DSM, achieving
approximately 16.5 MWa of DSM in 2001 and 2002. In addition to its DSM acquisition
activities, the Company will continue to support and work with other parties in the development
of public funding mechanisms and alternative implementation strategies for DSM and renewable
resources.
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Appx P Performance on RAMPP-6 Action Plan
Performance: The Company achieved 20.13 MWa of DSM in 2001 , Table P.1 provides the
breakdown by sector and state:
Table P.l Actual DSM (MWa) Selected for 2001 by Sector and State
Total
NEEA *575 805
Residential 10.071 002 1.014 007 11.104
Commercial 2.46 117 029 002
Industrial 1.294 634 066 994
Total 16.274 542 577 1.70 029 009 20.
* NEE A - Northwest Energy Efficiency Alliance
The Company achieved 17.84 MWa of DSM in 2002 , Table P.2 provides the breakdown by
sector and state:
Table P.2 Actual DSM (MWa) Selected for 2002 by Sector and State
Total
NEEA *0.42 1.74
Residential 0.15 1.26
Commercial 1.33
Industrial 1.74
Total 1.20 17.
* NEEA - Northwest Energy Efficiency Alliance
The Company is committed to both existing DSM programs, as well as the development of new
DSM programs. Both new and existing programs were modeled in the current IRP along with
supply side options to determine the optimal resource portfolio. The existing programs include:
Energy Exchange - an industrial load management program
Power Forward - a Utah Summer Awareness program
Energy FinAnswer Program - engineering and financial assistance (varies by state) for
installation of energy efficient motors, heating & cooling, refrigeration, etc.
Retrofit Incentive Programs - engineering and incentives for energy efficiency measures
(OR, W A and UT). Includes incentives for installation of Vending Mi$er (a device that turns
off vending machines when not in use).
Energy Education and Awareness Campaign - Do the Bright Thing
Compact Fluorescent Bulb Offerings
. On-Site or Web Based Home Energy Audits
DSM programs that are currently being evaluated include:
Residential and small commercial load control- the contractor has been selected. Currently
waiting on internal approval.
High efficiency residential AC
Second appliance recycling
. New commerciallindustrialload management - curtailable tarriffs
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Appx Performance on RAMPP-6 Action Plan
NEW GENERATION
The RAMPP-6 action plan listed two specific actions that were under consideration in 2001 and
2002 to meet near term capacity constraints: 1) the addition of single cycle turbines at the
Gadsby site in Salt Lake and 2) the addition of single cycle turbines in West Valley City in Utah.
PacifiCorp was also considering building a fourth coal fired unit at the Hunter site in Utah.
Performance: During 2001 and 2002, PacifiCorp leased gas turbine peaking generators with 95
MW capacity to provide electric generation to meet load requirements in Utah. PacifiCorp has
replaced these leased gas turbine peakers at its Gadsby Plant with 120 MW (three 40 MW units)
Company-owned gas-fired turbines. The turbines went online in late summer 2002.
In September 2001 , PacifiCorp, through an independent third party, issued a 'Request for
Proposals' for electricity supply that can be delivered into PacifiCorp s Utah Power electric
service territory. This process resulted in a lease with PacifiCorp Power Marketing (PPM
PacifiCorp s unregulated marketing affiliate) for new peaking resources in the Utah Power
territory and several contracts for peak electricity to be delivered into that territory. The plant
become operational in the summer of 2002, and is currently operating at its full capacity.
The Company is still considering building a fourth coal fired unit at the Hunter site in Utah, and
has done further evaluation of the cost-effectiveness of this option in its current IRP planning
process. In an effort to keep Hunter 4 as an alternative that could become firm and exercisable
the Company is pursing environmental permitting, as well as performing a water assessment to
ensure adequate water supply would be available if Hunter 4 were built.
IRP ORGANIZATION
Performance: In response to the changing dynamics within the power industry, PacifiCorp re-
established an independent IRP organization within the Commercial and Trading (C&T)
organization in the summer of 2001. The organization is staffed with analysts experienced in
generation planning, transmission planning, modeling and analysis, market fundamentals, risk
analysis and demand-side management. By creating an independent organization PacifiCorp
plans to make the IRP process more robust and real-time going forward. In addition, the
placement of the IRP process within the C&T organization is intended to assure that the IRP is
an integral component ofPacifiCorp s business planning process.
SUMMER TIERED RATES
Performance: On November 2 2001 the Commission approved an inverted block rate structure
for residential customers during the months of May through September. Beginning in May of
2002 rates are 6.3029~ per kWh first 400 kWh and 7.0866~ per kWh all additional kWh. This
rate structure is intended to encourage efficient energy use during the peak summer months, May
through September.
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Appx P Performance on RAMPP-6 Action Plan
In addition to the inverted rate structure change, PacifiCorp also redesigned the residential Time
of Use rate plan, reducing the basic charge to provide a better opportunity for customers to
effectively exercise the plan and to encourage greater plan participation.
To communicate these rate changes to customers, PacifiCorp produced a bill insert that began
appearing in customer billings in May 2002. The insert addresses what the changes are, why
they were made, and provides energy-savings tips so that customers can take full advantage of
the changes. PacifiCorp has provided the commission staff copies of the inserts for the purposeof answering possible customer questions surrounding the rate changes/customer
communication.
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