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HomeMy WebLinkAbout20080627Said direct.pdfE¡ Ii: 3ö BEFORE THE IDAHO PUBLIC UTILITIES COMMISSION IN THE MATTER OF THE APPLICATION OF IDAHO POWER COMPANY FOR AUTHORITY TO INCREASE ITS RATES AN CHAGES FOR ELECTRIC SERVICE. CASE NO. IPC-E-08-10 IDAHO POWER COMPANY DIRECT TESTIMONY OF GREGORY W. SAID 1 Q.Please state your name and business address. 2 A.My name is Gregory W. Said and my business 3 address is 1221 West Idaho Street, Boise, Idaho. 4 Q.By whom are you employed and in what 5 capacity? 6 A.I am employed by Idaho Power Company as the 7 Manager of Revenue Requirement in the Pricing and 8 Regulatory Services Department. 9 Q.Please describe your educational background. 10 A.In May of 1975, I received a Bachelor of 11 Science degree in Mathematics with honors from Boise State 12 University. In 1999, I attended the Public Utility 13 Executives Course at the University of Idaho. 14 Q.Please describe your work experience with 15 Idaho Power Company. 16 A.I became employed by Idaho Power Company in 17 1980 as an analyst in the Resource Planning Department. In 18 1985, the Company applied for a general revenue requirement 19 increase. I was the Company witness addressing power 20 supply expenses. 21 In August of 1989, after nine years in the Resource 22 Planning Department, I was offered and I accepted a 23 position in the Company's Rate Department. With the 24 Company's application for a temporary rate increase in SAID, DI 1 Idaho Power Company 1 1992, my responsibilities as a witness were expanded. 2 While I continued to be the Company witness concerning 3 power supply expenses, I also sponsored the Company's rate 4 computations and proposed tariff schedules in that case. 5 Because of my combined Resource Planning and Rate 6 Department experience, I was asked to design a Power Cost 7 Adjustment ("PCA") which would impact customers' rates 8 based upon cnanges in the Company's net power supply 9 expenses. I presented my recommendations to the Idaho 10 Public Utilities Commission in 1992, at which time the 11 Commission established the PCA as an annual adjustment to 12 the Company's rates. I sponsored the Company's annual PCA 13 adjustment in each of the years 1996 through 2003. I 14 continue to supervise PCA-related regulatory filings. 15 In 1996, I was promoted to Director of Revenue 16 Requirement and in 2002 I was promoted to Manager of 17 Revenue Requirement. I have managed the preparation of 18 revenue requirement information for regulatory proceedings 19 since 1996. 20 Q.What topics will you discuss in your 21 testimony in this proceeding? 22 A.My testimony can be divided into four 23 sections addressing (1) power supply expense modeling, (2) 24 PCA changes resulting from base rate changes, (3) revenue SAID, DI 2 Idaho Power Company 1 requirement adjustments that I provided to Ms. Schwendiman, 2 and (4) revenue requirement observations and conclusions. 3 POWER SUPPLY EXPENSE MODELING 4 Q.What role does power supply expense modeling 5 play in a general rate case? 6 A.Power supply expense modeling in a general 7 rate case provides the Commission with a view of "normal" 8 expectations for fuel expense (FERC accounts 501 and 547), 9 purchased power expense (FERC account 555), and surplus 10 sales revenue (FERC account 447). Power supply investment, 11 depreciation expense,and operating and maintenance 12 expenses are reflected in other FERC accounts that are not 13 addressed by power supply expense modeling. 14 Q.Please def ine the term "variable power 15 supply expenses" as the Company and the Commission have 16 used the term historically. 17 A.The Company and the Commission have 18 traditionally used the term "variable power supply 19 expenses" to refer to the sum of fuel expenses (FERC 20 accounts 501 and 547) and purchased power expenses (FERC 21 account 555) excluding expenses due to purchases from PURPA 22 qualifying facilities ("PURPA") minus surplus sales 23 revenues (FERC account 447). Because surplus sales 24 revenues are subtracted from fuel and purchased power SAID, DI 3 Idaho Power Company 1 supply expenses, variable power supply expenses are also 2 referred to as net power supply expenses. For ratemaking 3 purposes, PURPA expenses have been qUantified separately 4 from variable power supply expenses and are treated as 5 fixed inputs to power supply modeling rather than variable 6 outputs. 7 Q.How are variable power supply expenses 8 "normalized" for ratemaking purposes? 9 A.Variable power supply expenses are 10 determined for each water condition dating back to 1928. 11 In this case, 80 water conditions have been evaluated. The 12 average of the variable power supply expenses over the 13 range of hydro conditions is considered "normal" or 14 representative of the possible circumstances the Company 15 might encounter for ratemaking purposes. The Idaho Public 16 Utilities Commission first adopted this method of averaging 17 a representative range of power supply expenses associated 18 with multiple water conditions to determine normalized 19 power supply expenses in 1981. 20 Q.Have you supervised the preparation of 21 normalized variable power supply expense modeling to 22 reflect the current test year 2008 characteristics? 23 A.Yes. Under my supervision and at my 24 request, a power supply simulation that is representative SAID, DI 4 Idaho Power Company 1 of the test year 2008 variable power supply expenses 2 associated with 80 separate water conditions was prepared. 3 This year the analysis includes water conditions 4 corresponding to years 1928 through 2007. The average of 5 the variable power supply expenses related to each of the 6 80 water conditions represents the normalization of 7 variable power supply expenses. 8 Q.Please describe the simulation of test year 9 2008 variable power supply expenses. 10 A.The simulation of test year 2008 variable 11 power supply expenses reflects 2008 normalized loads and 12 resources that include 127 average megawatts of PURPA 13 generation. The 2008 PURPA generation amount includes a 14 reduction of 62 average megawatts from the PURPA generation 15 amount used in 2007. This reduction is due to a number of 16 PURPA proj ects changing their contracts to delay their on- 17 line dates beyond December 2008. 18 Q.Have you supervised the preparation of an 19 exhibit to demonstrate the normalization of variable power 20 supply expenses for the test year 2008? 21 A.Yes. Exhibit No. 47 shows the results of 22 the variable power supply expense normalization modeling 23 for the test year 2008. SAID, DI 5 Idaho Power Company 1 Page 1 of Exhibit No. 47 shows the summary results 2 containing the 80-year average variable power supply 3 generation sources and expenses. Pages 2 through 81 4 contain results for each of the 8 0 individual water 5 conditions 1928 through 2007. 6 Q.How has the annual PURPA expense changed 7 since the last general rate case that used a 2007 test 8 year? 9 A.The annual PURPA expense for test year 2008 10 has decreased from $93.1 million to $63.3 million 11 reflecting the delay of 62 average megawatts of anticipated 12 PURPA proj ects that I mentioned earlier in my testimony. 13 Q.Have you supervised the preparation of an 14 exhibit detailing the test year 2008 PURPA project 15 generation and expenses? 16 A.Yes. I supervised the preparation of 17 Exhibit No. 48 which consists of one page. Column 1 of 18 Exhibit No. 48 shows the generation and expenses associated 19 with contracted PURPA projects that will be on-line during 20 the test year 2008. 21 Q.What are the corresponding variable power 22 supply expenses for the 2008 test year based upon this 23 level of PURPA generation and expense? SAID, DI 6 Idaho Power Company 1 A.The normalized variable power supply expense 2 for the 2008 test year as shown on Page 1 of Exhibit No. 47 3 is $88.4 million. This amount is $47.5 million greater 4 than the Company's filed 2007 test year normalized variable 5 power supply expenses and $53.5 million greater than the 6 2007 test year normalized variable power supply expenses as 7 determined in Order No. 30508 based upon a stipulation of 8 the parties in Case No. IPC-E-07-08. 9 Q.What do the $29.8 million decrease in PURPA 10 expense and the $53.5 million increase in normalized 11 variable power supply expense indicate with respect to the 12 change in net total power supply expense from test year 13 2007 to test year 2008? 14 A.It indicates a $23.7 million net total power 15 supply expense increase ($53.5 million additional expense 16 $29.8 million reduction in expense = $23.7 million net 17 increase) to serve increased test year 2008 loads with 18 reduced PURPA generation sources. Base on those amounts, I 19 instructed Ms. Schwendiman to use the $88.4 million of net 20 variable power supply expense as shown on page 1 of Exhibit 21 No. 47 and the corresponding PURPA expense of $63.3 million 22 as shown on page 1 of Exhibit No. 48 in her quantification 23 of the Company's 2008 revenue requirement. This represents 24 a total PURPA and variable power supply expense of $151.7 SAID, DI 7 Idaho Power Company 1 million ($88.4 million + $63.3 million = $151.7 million), 2 which is an increase of $23.7 million from the 2007 test 3 year determination of $128.0 million. 4 Q.Has there been any change in the Company's 5 system load since the last general rate case, IPC-E-07-08? 6 A.Yes. The Company's 2007 annual normalized 7 system load used in the IPC-E-07-08 general rate case was 8 15.6 million megawatt-hours ("MWh"). The Company's 2008 9 annual normalized system load used in this case is 15.9 10 million MWh, an approximate 1. 9 percent (15.9 million MWh / 11 15.6 million MWh = 1.92 percent) increase in system load. 12 Q.Please recap the change in total PURPA and 13 variable power supply expenses that corresponds to the 1.9 14 percent higher loads of 2008 and the reduction in 15 contracted PURPA resources. 16 A.The Company's determination of normalized 17 variable power supply expenses for the test year 2008 in 18 this case is $88.4 million (page 1 of Exhibit No. 47). The 19 corresponding 2008 PURPA expense is $63.3 million (page 1 20 of Exhibit No. 48) for a total 2008 PURPA and variable 21 power supply expense of $151.7 million ($88.4 million + 22 $63.3 million = $151.7 million). The Commission adopted a 23 2007 normalized variable power supply expense for the test 24 year 2007 of $34.9 million. The corresponding test year SAID, DI 8 Idaho Power Company 1 2007 PURPA expense was $93.1 million for a total 2007 PURPA 2 and variable power supply expense of $128.0 million ($34.9 3 million + $93.1 million = $128.0 million). Total 4 normalized PURPA and variable power supply expenses have 5 grown by $23.7 million ($151.7 million - $128.0 million = 6 $23.7 million) . 7 Q.Have the modeled market prices of energy 8 changed in the last year? 9 A.Yes. Modeled market prices for energy sold 10 as surplus are slightly lower than market prices last year. 11 In the IPC-E-07-08 case, monthly-modeled surplus sales 12 prices fluctuated from $21 per MWh to $118 per MWh 13 depending on market conditions . The annual fluctuation of 14 modeled surplus sales prices in that case was from $34 per 15 MWh to $73 per MWh. In this case, monthly-modeled surplus 16 sales prices fluctuate from $16 per MWh to $104 per MWh. 17 The annual fluctuation of modeled surplus sales prices in 18 this case is from $30 per MWh to $79 per MWh. Because of 19 the additional load and reduction of PURPA generation, 20 surpluses have been reduced during the highest market price 21 periods of time bringing the averaged weighted price for 22 surplus sales down. With the load growth that the Company 23 has experienced and the reduction of PURPA generation, the 24 normalized volume of surplus sales has decreased from 3.0 SAID, DI 9 Idaho Power Company 1 million MWh to 2.4 million MWh. 2 Modeled market prices for energy purchased are also 3 slightly lower than market prices last year. In the IPC-E- 4 07-08 case, monthly-modeled purchased power prices 5 fluctuated from $15 per MWh to $165 per MWh depending on 6 market conditions. Anual fluctuation of modeled purchased 7 power prices in that case was from $42 per MW to $116 per 8 MWh. In this case, monthly-modeled purchased power prices 9 fluctuate from $13 per MWh to $93 per MWh. The annual 10 fluctuation of modeled purchased power prices in this case 11 is from $22 per MWh to $81 per MWh. While there has been a 12 slight decrease in the modeled purchased power prices, the 13 normalized volume of purchased power has increased from 401 14 thousand MWh to 472 thousand MWh due to seasonal load 15 growth. 16 Q.Have fuel prices for Company-owned coal- 17 fired generating plants changed over the last two years? 18 A.Yes. The cost of coal at the Bridger plant 19 has increased from $14.51 per megawatt-hour to $16.12 per 20 megawatt-hour. The cost of coal at the Boardman plant has 21 increased from $13.91 per megawatt-hour to $14.36 per 22 megawatt-hour. The cost of coal at the Valmy plant has 23 increased from $22.06 per megawatt-hour to $24.12 per 24 megawatt-hour. Coal price increases are the result of a SAID, DI 10 Idaho Power Company 1 number of factors, principally, the costs of mining and 2 transportation. Higher costs for steel , explosives, tires, 3 and diesel fuel as well as higher costs to remove 4 overburden associated with deeper coal seams have combined 5 to drive coal mining costs higher. Once mined, coal is 6 transported via railroad cars, again at higher costs than 7 in 2007. Higher mining costs and higher transportation 8 costs result in higher ultimate fuel costs. The fuel cost 9 for the Boardman coal-fired plant has not increased at the 10 same pace as the fuel costs at the Bridger and Valmy plants 11 based upon a below-market price contract that will expire 12 at the end of 2008. 13 Q.Have modeled variable gas prices for 14 Company-owned plants changed over the last two years? 15 A.Yes. For test year 2007, the Company 16 modeled gas prices at $98.32 per megawatt-hour for the two 17 smaller Danskin units and $86.45 per megawatt-hour for the 18 Bennett Mountain unit. Modeled variable gas prices for the 19 2008 test year are $79.90 per megawatt-hour for the three 20 Danskin units and $81.96 per megawatt-hour at Bennett 21 Mountain. The reduction in variable gas prices for the 22 three Danskin units reflects the addition of Danskin unit 1 23 that has a lower heat rate than the older Danskin units. 24 The reduction in the Bennett Mountain variable gas rate is SAID, DI 11 Idaho Power Company 1 reflective of a slight reduction after the post-hurricane 2 spikes in gas prices. 3 Q.In light of load growth, PURPA resource 4 decline, market price changes, and fuel cost changes, do 5 you believe the Company's modeled power supply expenses 6 represent a reasonable estimate of normalized power supply 7 expenses for the test year 2008? 8 A.Yes, I do. 9 Q.Please summarize the Company's sources of 10 energy as shown on page 1 of Exhibit No. 47. 11 A.From the summary information contained on 12 page 1 of Exhibit No. 47, it can be seen that for the test 13 year 2008, Company-owned hydro generation supplies 8.7 14 million MWh while Company-owned thermal generation supplies 15 7.4 million MWh (Bridger 5.1, Boardman 0.4, and Valmy 1.9) . 16 This is essentially the same generation output from 17 Company-owned resources that was envisioned in the 2007 18 test year. Danskin and Bennett Mountain, as peaking 19 plants, operate intermittently, but offer significant 20 contribution at important times when resources and 21 purchases are inadequate to serve peak loads. 22 Purchases of power come from three sources: market 23 purchases, contract purchases other than PURPA, and PURPA 24 purchases. PURPA purchases are assumed at fixed normalized SAID, DI 12 Idaho Power Company 1 levels amounting to nearly 1.1 million MWh. Because the 2 PURPA purchases are fixed inputs to power supply modeling, 3 they are not shown on the variable output summary, however, 4 when combined wi th the market and other contract purchases 5 of 1.0 million MWh, total purchases amount to 2.1 million 6 MWh (1.1 million MWh + 1.0 million MWh) . 7 Total hydro and coal-fired generation amounts and 8 purchases add up to 18.2 million MWH (8.7 + 7.4 + 2.1 = 9 18.2). Hydro generation contributes approximately 48 10 percent (8.7 million MWh / 18.2 million MWh = 48 percent) 11 of the generation mix, thermal generation contributes 12 approximately 41 percent (7.4 million MWh / 18.2 million 13 MWh = 41 percent), and purchases contribute approximately 14 11 percent (2.1 million MWh / 18.2 million MWh = 11 15 percent). 16 Q.How is the energy from the resources you 17 just described used? 18 A.Of the over 18.2 million MWh consumed, 15.9 19 million MWh are utilized for system loads while over 2.3 20 million MWh are sold as surplus. With load growth and the 21 reduction in PURPA generation, surplus sales have been 22 reduced from the 2.9 million MWh anticipated in the 2007 23 test year. SAID, DI 13 Idaho Power Company 1 Q.Please summarize the expense and revenue 2 information associated with the normalized power supply 3 operations that you have just described. 4 A.Exhibi t No. 47 contains variable expense and 5 revenue information limited to FERC accounts 501, Fuel 6 (coal); 547, Fuel (gas); 555, Purchased Power; and 447, 7 Sales for Resale. Hydro generation has no assumed fuel 8 expense. Coal expenses of $133.4 million are comprised of 9 Bridger at $82.1 million, Valmy at $45.3 million and 10 Boardman at $6.0 million. Gas expenses amount to $7.1 11 million. Purchased power expenses, not including PURPA, 12 amount to $58.1 million while surplus sales amount to 13 $110.2 million. Altogether, net variable power supply 14 expenses amount to $88.4 million ($133.4 million + $7.1 15 million + $58.1 million - $110.2 million = $88.4 million) . 16 PCA CHAGES 17 Q.How do base level PCA expenses differ from 18 test year variable power supply expenses? 19 A.Base level PCA expenses differ from test 20 year variable power supply expenses in two ways. First, 21 base level PCA expenses include PURPA expenses. Second, 22 base level PCA expenses are determined for an April through 23 March time frame rather than a calendar year. April 24 represents the beginning of the runoff period that provides SAID, DI 14 Idaho Power Company 1 the basis for the PCA proj ection. 2 Q.What is the base level of PCA expenses for 3 test year 2008? 4 A.In this case, normalized power supply 5 expenses amount to $88.4 million and normalized PURPA 6 expenses amount to $63.3 million. The sum, $151.7 million, 7 represents the new base PCA expense level. 8 Q.Are you sponsoring an exhibit that shows the 9 derivation of the appropriate new PCA regression formula to 10 be used for projecting the next year's PCA expenses? 11 A.Yes. Exhibit No. 49 was prepared under my 12 supervision to show the derivation of the new PCA 13 regression formula. 14 Q.Please describe Exhibit No. 49. 15 A.Exhibit No. 49 consists of six columns. 16 Column 1 shows the number of the observation from 1 to 79. 17 Column 2 contains the PCA year corresponding to each 18 observation; observation 1 is 1928, observation 2 is 1929, 19 and so on through observation 79 which is 2006. Because 20 the PCA year is for months April through March of the 21 following year, there are only 79 observations instead of 22 the 80 conditions represented in Exhibit No. 47. Column 3 23 contains the April through July runoff measured at Brownlee 24 Dam for each of the observation years 1928 through 2006. SAID, DI 15 Idaho Power Company 1 Column 4 contains the natural logarithm of the runoff value 2 contained in Column 3. Column 5 contains the April through 3 March annual power supply expense based upon data from 4 Exhibit No. 47, but reflecting PCA-year totals rather than 5 calendar year totals. Finally, Column 6 contains the 6 regression predicted value of April through March annual 7 power supply expenses . 8 To the right of the columns is summary output of 9 certain regression statistics (such as r-square) and 10 formula coefficients. 11 Q.Please describe the new PCA regression 12 formula based upon Exhibit No. 49. 13 A.The basic PCA formula takes the following 14 form: Annual PCA expense = Cl - C2 * ln (Brownlee runoff) 15 + C3. The values of CL, C2 and C3 are constant with the 16 only variable being April through July runoff measured at 17 Brownlee Dam. The equation without C3 is used to predict 18 net power supply expenses and is the direct result of the 19 regression analysis contained in Exhibit No. 49. The 20 constant CL represents the prediction of annual net power 21 supply expense that would occur if there was zero April 22 through July runoff at Brownlee. The value of Cl is 23 $2,595,771,216. In reality, the lowest April through July 24 runoff measured at Brownlee contained in the observations SAID, DI 16 Idaho Power Company 1 is 1.93 million acre-feet which occurred in the 1992 2 observation. 3 Because the regression provides a linear fit of a 4 non-linear transformation, the value of C2 is somewhat 5 difficult to explain. Observed Brownlee runoff data in 6 acre-feet is first transformed by the natural logarithm 7 function. For each unit increase in the natural logarithm 8 of the Brownlee runoff data the proj ection of annual power 9 supply expenses will be reduced by C2, which is 10 $162,707,198. The average natural logarithm of Brownlee 11 runoff values, based upon the observations contained in 12 Exhibit No. 49, is 15.41. This value corresponds to a 13 runoff of approximately 4.9 million acre-feet (e A 15.41 = 14 4,925,814 million acre-feet). With a runoff of 4.9 million 15 acre-feet and a natural logarithm of 15.41, the projected 16 net power supply expenses would be $88,453,295 17 ($2,595,771,216 - ($162,707,198 * 15.41)). An increase of 18 1 to the natural logarithm would result if the runoff was 19 approximately 13.4 million acre-feet (In(13,389,749) equals 20 16.41 which equals 15.41 + 1.0). With a runoff of 21 13,389,749 acre-feet, the net power supply expenses would 22 be $162,707,198 less than $88,453,295 making the projection 23 of power supply expenses a negative $74,253,903 24 ($2,595,771,216 - ($162,707,198 * 16.41) = -$74,253,903). SAID, DI 17 Idaho Power Company 1 The natural logarithms of observed Brownlee runoff 2 ranged from 14.47 (1992 runoff) to 16.25 (1984 runoff). 3 The difference, 1.78 (16.25 - 14.47), multiplied by 4 $162,707,198, equals approximately $290 million, which 5 represents the change in proj ected power supply expenses 6 from the highest water case (1984) to the lowest water case 7 (1992) . 8 The value of C3 is $63,269,889, which is the 9 normalized PURPA expense. Because the normalized PURPA 10 expense is quantified separately from net variable power 11 supply expenses, it is added to net variable power supply 12 expenses to determine the PCA expenses. 13 Q.What is the new PCA regression equation with 14 values inserted for the constants? 15 A.The new PCA regression equation is: 16 Annual PCA expense = $2,595,771,216 17 - $162,707,198 * ln (Brownlee runoff) 18 + $63,269,889. 19 Q.How does the range in proj ected power supply 20 expenses from high condition to low condition resulting 21 from this regression equation compare to the corresponding 22 range of proj ected power supply expenses based upon the 23 previous regression equation? SAID, DI 18 Idaho Power Company 1 A.The predictions of power supply expenses 2 based upon the regression observations contained in the 3 previous regression analysis ranged by $333 million from 4 the highest estimate to lowest estimate of power supply 5 expenses. The current range varies by only $290 million as 6 a result of slightly lower market price assumptions which 7 have reduced the volatility in power supply expenses. 8 Q.Please describe what is meant by the term 9 "embedded" cost. 10 A.The term "embedded" cost refers to an 11 average cost that is "embedded" in the rates and charges 12 paid by the Company's customers. Included within all 13 customer class rates is an embedded component related to 14 the total of PURPA and variable power supply expenses. 15 There would also be embedded components related to other 16 generation related expenses, transmission related expenses, 17 distribution related expenses, general and administrative 18 expenses, and returns. All customer classes have the same 19 embedded PURPA and variable power supply cost because no 20 customer class has preferential rights to energy. As a 21 result, the embedded rate for PURPA and power supply 22 expenses as reflected as a component of the overall rate is 23 determined by dividing the test year total PURPA and 24 variable power supply expenses by the total system load. SAID, DI 19 Idaho Power Company 1 Q.What is the embedded total PURPA and 2 variable power supply expense rate at the generation level 3 as derived from data contained in Exhibit No. 47? 4 A.The embedded total PURPA and variable power 5 supply expense rate at generation level is $9.56 per 6 megawatt-hour ($151,691,135 / 15,863,628 megawatt-hours = 7 $9.56 per megawatt-hour) . 8 Q.How does the embedded total PURPA and 9 variable power supply expense rate compare to the 10 Commission approved Load Growth Adjustment Rate ("LGAR")? 11 A.The Commission approved LGAR is $62.79 per 12 MWh, but is only applied to one-half of load growth in the 13 2008 PCA year making the rate effectively $31.40 per MWh. 14 Q.Do you have a recommendation for the 15 appropriate level for the LGAR beginning in April 2009? 16 A.No . Per Order No. 30508, the Commi ss ion has 17 directed the Commission Staff, the Company and interested 18 parties to convene workshops to seek agreement as to the 19 appropriate LGAR methodology to be used after March 2009. 20 Q.Did Commission Order No. 30215 direct the 21 Company to update marginal cost studies and line loss data 22 in general rate proceedings? 23 A.Yes. SAID, DI 20 Idaho Power Company 1 Q.Please define "marginal" costs with relation 2 to PURPA and variable power supply costs. 3 A."Marginal" costs refer to a very specific 4 computational method of determining incremental costs for a 5 hypothetical situation where no model inputs change other 6 than load. Rather than measuring the change in total PURPA 7 and variable power supply expenses from one year to the 8 next and dividing by the change in load from the first year 9 to the next, marginal costs are determined based upon a 10 hypothetical instantaneous load change and the resulting 11 modeled expense change to serve that load change. In 12 recent analyses, marginal costs are also based upon a five- 13 year average. 14 Q.At your direction, did the Company prepare 15 marginal cost analyses in conjunction with this case? 16 A.Yes. Exhibit No. 50 contains a 17 quantification of the five-year average marginal energy 18 cost at generation level (i. e. including line losses) as 19 $65.98 per megawatt-hour using standard marginal cost 20 methodology and 2008 through 2012 data. The annual 21 marginal cost for the single year 2008 is $56.48 per 22 megawatt-hour. 23 Q.Do you recommend any additional PCA 24 computational changes with the establishment of the new PCA SAID, DI 21 Idaho Power Company 1 regression formula? 2 A.Yes. There are two PCA computational 3 factors that need to be updated as a result of the current 4 review of power supply expenses. First, for PCA proj ection 5 calculations, a new normalized Base Power Cost must be 6 determined for inclusion in rate Schedule 55. Second, a 7 new Idaho jurisdictional percentage must be determined. 8 Q.Have you supervised the development of an 9 exhibit to determine the PCA computational factors you have 10 just mentioned? 11 A.Yes. Exhibit No. 51 is a one-page exhibit 12 detailing the appropriate computation of the PCA factors I 13 have outlined. 14 Q.What is the first computation shown on 15 Exhibit No. 51? 16 A.The first computation details the normalized 17 Base Power Cost computation. The new normalized PCA 18 expense for the 2008 test year is $151.7 million compared 19 to the previous $128.0 million settlement value from the 20 2007 test year. 21 The normalized Base Power Cost is equal to the 22 $151.7 million normalized PCA expense divided by the 23 normalized system sales value of 14,465,151 MWh. The 24 resulting Base Power Cost is 1.04867 cents per kWh or SAID, DI 22 Idaho Power Company 1 $10.49 per megawatt-hour. 2 Q.Please discuss the Idaho jurisdictional 3 percentage computation contained in Exhibit No. 51. 4 A.The Idaho jurisdictional firm load 5 (15,036,726 MWh) divided by the system firm load number 6 (15,863,628 MWh) results in an Idaho jurisdictional 7 percentage of 94.8 percent. This is up from 94. 7 percent 8 in 2007 due to a slightly higher growth rate in Idaho than 9 in Oregon. 10 RE REQUIRET ADJUSTMNTS 11 Q.Please describe your role in the preparation 12 of the Company's proposed 2008 revenue requirement. 13 A.As the Manager of Revenue Requirement, I 14 evaluated the concerns the parties in the IPC-E-07-08 rate 15 case expressed with regard to the Company's presentation of 16 test year data in that case. Based upon the parties' 17 strongly expressed desire to have an auditable starting 18 point and explicit methods of adjusting starting values to 19 the test year, I directed the Company's efforts to respond 20 to those requests. The results of those efforts are 21 reflected in the exhibits of Ms. Schwendiman. The 22 auditable starting point is 2007 actual data. That data 23 has been adjusted to reflect normalized power supply 24 expenses as approved in the 2007 case and to remove SAID, DI 23 Idaho Power Company 1 expenses that are typically not considered for ratemaking 2 purposes such as certain memberships or advertizing 3 expenses. 4 Given adjusted 2007 data, several methods are then 5 utilized to adjust historical 2007 data to test year 2008 6 levels. These methods have been primarily described by Ms. 7 Smi th in her testimony in this case. The primary methods 8 used to adjust historical 2007 data to the 2008 test year 9 include trending of plant investments less than $2 million 10 using a compound growth rate, using known and measurable 11 adjustments for plant investments of greater that $2 12 million, and basing the growth of expenses and revenues 13 upon compound growth rates. I was part of the senior 14 management team that assisted Ms. Smith in developing these 15 methods to adjust historical 2007 data to 2008 test year 16 levels. 17 Q.In addition to the methods of adjusting 2007 18 data to the 2008 levels described by Ms. Smith, are there 19 some specific methods for adjusting 2007 data to the 2008 20 test year that you provided to Ms. Schwendiman? 21 A.Yes. I instructed Ms. Schwendiman to make 22 additional adjustments to reflect 2008 power supply 23 expenses, fuel inventories, imputed revenues for 24 annualizing adjustments associated with plant additions SAID, DI 24 Idaho Power Company 1 greater than $2 million, and contributions in aid of 2 construction ("CIAC"). I have previously described the 3 power supply expense levels that I instructed Ms. 4 Schwendiman to use. 5 Q.Please describe the fuel inventory 6 adjustment that you instructed Ms. Schwendiman to use. 7 A.I instructed Ms. Schwendiman to adj ust fuel 8 inventory dollars to reflect a 26 -day inventory at the 9 Bridger Plant and 60-day inventories at both Valmy and 10 Boardman. Because Bridger is a mine-mouth plant, fewer 11 days of fuel inventory is required. 12 Q.Did you instruct Ms. Schwendiman to include 13 imputed revenue associated with annualized plant additions 14 of greater than $2 million? 15 A.Yes. The Commission in Order No. 29505 16 issued in Case No. IPC-E-03-l3 stated that "it is critical 17 to match revenues and expenses to these plant additions" in 18 reference to known and measurable additions. In Order No. 19 29505, the Commission used a proxy for additional revenues 20 stating that the Company had "not adequately quantified" 21 such additional revenues. In its next rate case, Case No. 22 IPC-E-05-28, the Company introduced a methodology for 23 imputing revenues. The Company used this same methodology 24 in the preparation of its revenue requirement in the next SAID, DI 25 Idaho Power Company 1 rate case, Case No. IPC-E-07-08. Both cases were settled. 2 In its filing in this Case the Company has included a 3 quantification of revenues associated with annualizing 4 adjustments to transmission and distribution plant 5 determined in the same manner submitted in the 2005 and 6 2007 rate cases. 7 Q.Please describe the Company's method of 8 quantifying revenues associated with the annualizing 9 adj ustments to plant. 10 A.In order to estimate the additional revenues 11 that the Company would receive as a result of adding the 12 plant reflected in the annualizing adjustments, I requested 13 the preparation of Exhibit No. 52. Page 1 of Exhibit No. 14 52 shows the quantification of the revenue credit 15 associated with the annualizing plant adjustment. Page 2 16 of Exhibit No. 52 shows the planned use of those additional 17 facilities annualized in the Company' s2008 test year. 18 Based upon the system anticipated loads to be served via 19 those facilities by year end 2008 (128,479 MWh) and the 20 system average revenue per MWh ($15.56 per MWh), the 21 imputed revenue associated with the annualized transmission 22 and distribution additions is $1,489,324 for the Idaho 23 jurisdiction. This is an approximate 11.6 percent 24 reduction to the Idaho jurisdictional revenue requirement SAID, DI 26 Idaho Power Company 1 resulting from these additional investments. Most of the 2 annualized investments in this case are for the purposes of 3 system reliability, compliance, or environmental 4 improvement rather than being related to load growth. 5 Q.What instruction did you give Ms. 6 Schwendiman with regard to CIAC? 7 A.I instructed Ms. Schwendiman to adjust 8 actual 2007 CIAC to 2008 levels based upon the method used 9 to adj ust the corresponding plant investments for those 10 specific accounts from 2007 to 2008 levels. Ms. Smith 11 discusses the methods used to adjust plant financial data. 12 RENU REQUIRENT OBSERVATIONS AN CONCLUSIONS 13 Q.Please summarize why Idaho Power Company is 14 utilizing a 2008 test year. 15 A.The fundamental reason that Idaho Power is 16 utilizing a 2008 test year is to address current concerns 17 regarding regulatory lag. In prior rate cases, rates 18 resulting from a test year were implemented five months 19 after completion of the test year (2003 test year rates 20 became effective June 1, 2004, and 2005 test year rates 21 became effective June 1, 2006). Rates implemented in March 22 2008 were based upon a settlement stipulation that did not 23 specify a precise test year. A 2008 test year in this case 24 will allow for rates based upon a 2008 test year to become SAID, DI 27 Idaho Power Company 1 effective early in 2009, shortly following the test year. 2 Q.In your opinion, given normal conditions in 3 2009, will implementing rates based upon a 2008 test year 4 allow the Company to earn its authorized rate of return in 5 2009? 6 A.No. Based upon recent experience where the 7 Company is making large investments in all aspects of its 8 business at the same time that costs are rising, I do not 9 envision that revenues that the Company will receive based 10 upon a 2008 test year will keep pace with the revenue 11 requirements driven by investment levels and expenses in 12 2009. 13 Q.Does that conclude your testimony? 14 A.Yes, it does. SAID, DI 28 Idaho Power Company