20100809PAC to IIPA 67-79.pdf

~ROCKY MOUNTAIN
POWERA DIVSI OF PAACO RECE
201 South Main. Suite 2300
Salt Lake City. Utah 84111
20m AUG - 9 AMIOt 05
August 6, 2010
lDAJ-1C)
UTtLlTiES
Eric L. Olsen ISB# 4811
RACINE, OLSON, NYE, BUDGE &
. BAILEY, CHATERED
P.O. Box 1391; 201 E. Center
Pocatello, Idaho 83204-1391
RE: il PAC-E-10-07
IIPA Data Request (67-79)
Please find enclosed Rocky Mounta Power's responses to lIP A Data Requests 67-79. Provided
on the enclosed CD are Attchments IIPA 72 -(1-2), 73, 74 -(1-2), 75, 76, 77, and 78.
If you have any questions, please feel free to call me at [phone].
Sincerely,
Enclosure:
C.c. Rady Budge/Monsanto
Michal C. Creamer! Agrum
Jea JewelllUC
Anthony Yane i
Ben Oto
PAC-E-I0-07!Rocky Mountain Power
August 6,2010
LIP A Data Request 67
LIP A Data Request 67
Given the levelized cost for the Residential direct load control program of $93 per
kW that was found in the July 11,2007 Quantec report for Rocky Mountain
Power and given the fact that the Company's IRP suggests a supply side resource
cost that is well below this value, please explain the Company's reasons for
continuing to offer the Residential Direct Load Control Program.
Response to lIP A Data Request 67
The levelized market cost for the residential and small commercial air conditioner
load control program that was assumed by Quantec in their July 11, 2007 report
was for new resources at the time the report was produced ~ not the costs the
company was incurring to operate its Utah system. The cost is not reflective of
the levelized cost of Rocky Mountain Power's Cool Keeper program that was
procured and implemented in 2003 under a 10 year pay-for-performance program
strctue.
The program is operated with the approval of the Public Service Commission of
Utah and satisfies the cost effectiveness requirements established by that
commission.
Recordholder:
Sponsor:
Jeff Bumgarer
To Be Determined
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PAC-E-10-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 68
IIPA Data Request 68
Based upon the Response to lIP A R~quest 1 e, the Irrigators take this to mean that
the adjustments on page 10.13 through 10.18 on Exhibit 2 for jurisdictional
allocations are not caried through to the class cost of service study in Exhibit 49.
Is this meaninglinterpretation correct?
Response to lIP A Data Request 68
The adjustments on page 10.13 though 10.18 on Exhibit 2 for jurisdictional
allocations are not caried through to the .cass cost of service study in Exhibit 49.
Please refer to IIPA Data Request 8 ~dMonsanto Data Request 5.4.
Recordholder:
Sponsor:
Steven R. McDougall C. Craig Paice
Steven R. McDougall C. Craig Paice
1:\
PAC-E-I0-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 69
LIP A Data Request 69
Regarding the attachment to the Response to lIP A Request 2d, under tab
"To Actual 2009" in row 4 are listed values for "ID RES 01". Please answer the
following:
a. Is the data in row 4 the result of the load research data? How is this data derived
from the load research data (please specify all calculations and adjustments that
are incorporated to take the raw load research data and produce the values listed
on row 4)?
b. Is this calendar data, biling data, or some other formtimeframe? If anything
other than calendar data, please specify how it was derived.
c. The data in row 5 is labeled as "Pricing Kwh". Is this calendar data, biling data,
or some other formtimeframe? If anything other than biling data, please specify
how it was derived.
d. If the data on row 4 is based upon a different time frame than the data on row 5,
do the adjustments in row 6 capture the difference is usage because of the
different timeframes (calendar vs. biling) as well as any calibration that is needed
to align the sample load research data with the usage data of the population?
Response to lIP A Data Request 69
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a. The data in row 4 is derived from the load research sample. A veragelcustomer
calculations of the hourly demands are first calculated at the individual stratum
leveL. These strata averages are then weighted based on the population
distrbutions specified in the sample design, and sumed to arive at
averagelcustomer hourly demand estimates for the schedule. Finally, these
averagelcustomer estimates are multiplied by the applicable monthly population
to arive at estimates of total schedule demand for any hour of a given month.
Suming these hourly load estimates for all hours in the month will provide an
estimate of tota kWh for that sche4iiJe, f()r that month..' ;,1 I, \
b. Energy (kWh) estimates derived frôdi load research data are defined by strict
calendar month boundares.
c. The data in row 5 reflects biling data which has been adjusted for unbiled kWh,
as well as other adjustment necessar to approximate calendar (vs. biling) month
usage.
d. The data in rows 5 and 6 are both cortsideted to represent calendar month usage.
PAC-E-I0-07/Rocky Mountain Power
August 6, 2010
lIP A Data Request 69
Recordholder:
Sponsor:
Scott Thornton'
To Be Determined
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P AC-E-1 0-07/Rocky Mountan Power
Augut 6, 2010
lIP A Data Request 70
lIP A Data Request 70
With respect to the other rate schedules listed on the Response to lIP A Request
2d, under tab "To _Actu 2009", would the response be the same as that
contaed in 69 above.
Response to lIP A Data Request 70
The response would be the same with two exceptions:
a) The line labeled 'iD IRR A V' is based on load research data normalized of a
5 year time period; and
b) The line labeled Contrct 1 is based on load research data normalized over a
3 year time period.
All other rate schedules conform to the Company's response to iip A Data
Request 69.
Recordholder:
Sponsor:
Scott Thornton
To Be Determed
P AC-E-1 0-07/Rocky Mountan Power
August 6, 2010
lIPA Data Request 71
IIPA Data Request 71
Given the Response to IIP A Requests 2f and 16b, it is assumed that the values for
the Irgation coincident peak loads found on Exhbit 49, tab 5, page 7 were
derived by takng the 5- year average results (demand at time of system peaks) of
the "actu" load research data and combinng ths with the actu load research
energy usages to develop ratios tht are applied to the test year monthy energy
usages in order to develop the peak values that are presented. If there is anyting
wrong with these assumptions, please explain how the Irrgation coincident peak
values are developed.
Response to lIP A Data Request 71
The 5 year average is based upon a normalized year, rather th a simple
averaging of the system peaks. Each of the contrbuting years (2005-2009) was
adjusted to fit the 2009 day-of-the-week profie. For instace, June 1,2009
occured on a Monday. The closest corresponding Monday to June 1 in the 2005
data was June 6. So the 2005 data was shifted 5 days (+ 4 year) to align with
the 2009 data In 2007, the closest corresponding Monday to June 1 was June
4, so the data was shifted 3 days (+ 2 year). Once ths alignent of all the
contrbutig years was complete, the years are averaged together to obta a
normalized, on-season representation for the irrgation class loads.
At ths point in the processing, system peaks are selected based on the 2009
season and adjustments are made based on the process outlined in the body of ths
request
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAC-E-1O-07/Rocky Mounta Power
August 6, 2010
LIP A Data Request 72
LIP A Data Request 72
Tab "id8760" to Attchment 8a to the Response to IIPA Request 8 contains
hourly information by rate schedule. Please provide all supporting and/or interi
data that was used to develop each of these values. We are seeking the entire dat
thoughout the flow of the calculations that resulted in these values.
Response to LIP A Data Request 72
Please refer to Attchment LIP A 72 -1, which contans sample customer data for
Schedules 1,36,23,6 and 9. Irrgation sample customer data was included in
Attachment lIP A 56. Sample customer data is not available for Street
Lighting. Schedules.
Please also refer to Attchment IIPA 72 -2, which shows the flow of
calculations that resulted in the values show in Attchment 8a, tab "id8760".
Below is an explantion of the flow of calculations shown in Atthment LIP A
72 -2.
Tab "mv90avgs" shows the A veragelCustomer data resulting from the sample
customer data.
Tab "Customers-Actul" shows the Normalized Actu Monthy Customers used
to expand the AveragelCustomer data by population.
Tab "mv90pp" shows the results of expanding the A veragelCustomer data by
population.
Tab "kWh-Actu" shows the Normalized Actu Monthy kWh.
Tab "ActdjFactors" shows the adjustment factor needed to ratio the
Avere/Customer data expanded by population to tie to Normalized Actu
Monthy kWh.
Tab "ld8760Act" shows the resuts of adjustg A vere/cusmer data expanded
by populaton to tie to Normalize Actu Monthy kWh. These results are
referr to as "2009 Hourly Class Load".
Tab "kWh-Forecast" shows Forca Monthy kWh.
Tab "ForeAdjFactors" shows the adjusent factor needed to ratio the 2009
Hourly Clas Loads to tie to Foreas Monthy kWh.
PAC-E-1O-07/Rocky Mountan Power
August 6, 2010
LIP A Data Request 72
Tab Id8760 shows the results of adjusting 2009 Hourly Class Loads to tie to
Forecast Monthy kWh. These results are referred to as "Idao Class Loads Tied
to Test Year 2010 Energy" and are shown in Attchment 8a.
Note: The MV90 Load Research System used to calculate class averages and
class loads does not save the individual customer data used to generate the class
averages and class loads in a dedicated area. Only the class averages and class
loads are saved. The individua customer data can be accessed by multiple
paries, creating the possibilty of customer interval data being chaged or
corrpted. It is therefore extremely dicult to go back in time and attempt to
generate anew the class averages from the individua customer data Even
roundig errors will prevent an exact calculation.
Recordholder:
Sponsor:
Scott Thornton
To Be Determned
PAC-E-I0-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 73
LIP A Data Request 73
Please provide for each of the years 2000-2009 the value of the "SO" allocation
factor that was assigned and/or calculated for Idaho in either rate case filings or
other general filings made by the Company for any of its jurisdictions during that
timeframe.
Response to liP A Data Request 73
Please refer to Attachment LIP A 73.
Recordholder:
Sponsor:
Steve McDougal
Steve McDougal
PAC-E-1O-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 74
IIPA Data Request 74
With respect to the Company's response to lIP A Request 21 c, please supply the
last 13 years of usage per customer data for Schedule 1 and Schedule 36 on a
monthly basis. If available, please supply the data on a calendar as well as biling
month basis.
Response to IIPA Data Request 74
Calendar sales have not been calculated for Januar 2004 through Januar 2005.
Also at the rate schedule level, the Company only has number of bils. The
Company does not have recorded monthly number of bils or sales by rate
schedule before January 2004. Please refer to Attachment lIPA 74 -1 for a copy
of biling cycle Schedule 1 and Schedule 36 KWh/bil from Januar 2004 to June
2010. Please refer to Attachment lIPA 74 -2 for a copy of Schedule 1 and
Schedule 36 KWhil adjusted to the calendar months of February 2005 to June
2010.
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAC-E-I0-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 75
IIPA Data Request 75
With respect to the Company's response to lIPA Request 21d, please supply the
same data on a monthly basis.
Response to lIP A Data Request 75
Please refer to Attachment lIP A 75.
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAC-E-I0-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 76
LIP A Data Request 76
With respect to the Company's response to IIPA Request 21f, please supply the
last 13 years ofHDD and CDD data on a monthly basis.
Response to lIP A Data Request 76
Please refer to Attachment LIP A 76.
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAC-E-10-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 77
LIP A Data Request 77
With respect to the Company's response to lIPA Request 21g, please supply the
same data on a monthly basis.
Response to lIP A Data Request 77
Please refer to Attachment lIP A 77.
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAc-E-I0-07/Rocky Mountain Power
August 6, 2010
LIP A Data Request 78
IIPA.Data Request 78
With respect to the Company's response to lIPA Request 21h, please supply the
same data on a monthly basis.
Response to LIP A Data Request 78
Please refer to Attchment LIP A 78.
Recordholder:
Sponsor:
Pete Eelkema
Pete Eelkema
PAC-E-10-07/Rocky Mountain Power
August 6, 2010
UP A Data Request 79
LIP A Data Request 79
Tab "id8760" to Attchment 8a to the Response to lIP A Request 8 indicates that
the data listed is hourly demands by rate schedule "tied to test year 2010 energy".
Does this mean that this data in this Response is based only on 2009 load research
data and then ratioed up or down, depending upon the difference between 2010
monthly/anual energy levels? How does the fact that, according to the response
to lIP A Request 2, multiple years of data have been utilzed to develop some
allocation factors reconcile with this Response?
Response to liP A Data Request 79
For all Schedules except 'ID IRR AV' and 'CUSTl_3YR', the data presented is
based on 2009 load research data, ratioed up or down to reflect test year 2010
monthly energy levels. Both the 'ID IRR AV' and 'CUST1_3YR' estimates hav~
been normalized over a period of years, based on the historical load research data,
before adjustment to test year 20 i 0 monthly energy levels.
Recordholder:
Sponsor:
Scott Thornton
To Be Deteimined
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