Loading...
HomeMy WebLinkAbout20140113AVU to Staff 39,46,48,51,52,55.pdfAvista Corp. 1411 East Mission P.O. Box3727 Spokane. Washington 99220-0500 Telephone 509-489-0500 TollFree 800-727-9170 Paul Kimball Regulatory Analyst Enclosures CC (Email): #rrrtsrfr 4=-4 IPUC (Klein, English, Donohue, Karpavich) Corp, !]ili ,..!.',': i.i ',-1 ir, 32 Idaho Public Utilities Commission 472W. Washington St. Boise,lD 83720-0074 Attn: Karl T. Klein Deputy Attorney General Re: Production Request of the Commission Staff in Case No. AVU-E-13 -091G-13-02 Dear Mr. Klein, Enclosed are an original and three copies of Avista's responses to IPUC Staffs production requests in the above referenced docket. Included in this mailing are Avista's responses to production requests 39, 461 48, 51, 52, and 55. The electronic versions of the responses were emailed on 0l/10/14 and are also being provided in electronic format on the CD included in this mailing. Also included is Avista's CONFIDENTIAL response to PR 55C. This response contains TRADE SECRET, PROPRIETARY or CONFIDENTIAL information and is separately filed under IDAPA 31.01.01, Rule 067 and 233, and Section 9-340D, Idaho Code. It is being provided under a sealed separate envelope, marked CONFIDENTIAL. If there are any questions regarding the enclosed information, please contact Paul Kimball at (509) 495-4584 or via e-mail at paul.kimball@avistacorp.com Sincerely, AVISTA CORPORATION RESPONSE TO REQITEST FOR INFORMATION ruRISDICTION: IDAHO CASE NO: AVU-E-I3-09/AVU-G-13-02 REQUESTER: IPUC StAffTYPE: Production Request REQUEST NO.: Staff:39 DATE PREPARED: 0110812014 WITNESS: RESPONDER: DEPARTMENT: TELEPHONE: Lori Hermanson DSM Policy, Planning & Analysis (s09) 49s-46s8 REQUEST: Please provide the source and calculations for non-energy benefits associated with the Nonres-Site Specific Electric program in 2010, 2011, and20l2. RESPONSE: Please see Staff PR_39 Attachment A and Staff_PR_39 Attachment B. Attachment A includes 145 non-residential electric site-specific projects which had non-energy benefits associated with them. Columns 4 and 5 of the attachment are non-energy benefit inputs into the database. Columns 8-l I provide the non-energy benefits distributed on a BTU-basis. Columns 12 and 13 are the present value ofnon-energy benefits and values used for cost-effectiveness. The bulk of these projects were lighting projects. Attachment B includes a SMath Studio model which references Avista's site-specific lighting calculator and lamp data table as well as Avista's site specific lighting calculator. Non-lighting projects are addressed separately within the excel spreadsheet mentioned above. AVISTA CORPORATION RESPONSE TO REQUEST FOR INFORMATTON JURISDICTION: IDAHO CASE NO: AVU-E-13-09/AVU-G-13-02 REQUESTER: IPUC StAffTYPE: Production Request REQUEST NO.: Staff-46 REQUEST: DATE PREPARED: 0110812013 WITNESS: RESPONDER: DEPARTMENT: TELEPHONE: Lori Hermanson DSM Policy, Planning & Analysis (so9) 49s-46s8 Please provide all drafts of the 2012Process Evaluation Memorandum. RESPONSE: Please see Staff PR_46 Attachments A. To: From: Subject: Date: MEMORANDU M Lori Hermanson, Avista Danielle Kolp and Hope Lobkowicz, Cadmus 2012 Process Evaluation Memorandum +t+ty+SACsus'LZ, 2013 Cadmus' 2012 process evaluation activities for the Avista nonresidential portfolio included the following: o A Eest Practice Comporotive Review (memo delivered in February 2013) r ln-person interviews with program stakeholders o Database and realization rate review Because Cadmus is not developing a formal process evaluation report for Avista until 2014, this memo presents the findings of the staff interviews and database and realization rate review conducted for the 2012 program year. Our objective is to provide key personnel at Avista with findings now to assist them in improving program processes in real-time. Key Findings lnterview Findings: Large Project Review Challenges and Changes ln August 2011, Avista instated a new internal system to independently review site-specific projects with incentives greater than 550,000. This review stemmed from a recommendation in the 2010 Moss Adams process report, pursuant to the 2010 Washington Utilities and Transportation Commission (UTC) rate case settlement terms. The objective of the independent review was to examine project evaluation reports prior to entering into contract with the customer, to ensure that: o All supporting documentation was in place, o Savings calculations were reasonable and well supported, and r The project complied with tariff rules. Avista staff who participated in the review process experienced multiple challenges, which are discussed in more detail below. By the end of 2OL2, staff concluded that the review process was not functioning efficiently, nor did it align with the intention of the Moss Adams report recommendation. Avista suspended the review process on January 7,2OL3.ln 2013, Avista intends to implement a new approach for reviewing site-specific projects, with the goal of balancing customer service and expediency with a sound review. ln June 2013, Avista demand-side management (DSM) staff were finalizing this new approach. 720 SW Washington Street Suite 40o Portland,0R 97205 Voice: 503.467.7100 Fax:503.228.3696 Staff PR 46 Attachment A A n Emp I oyee -Owned Catn pa ny wwwcadmusgro$p.com Corporate Headquarters: 1 00 5th Avenue, Suite I 00 Waltham, MA 02451 Voice: 617.673.7000 Fax: 6l 7.673.7001 Page 1 of 18 Review Process Challenges ldentified by Avista Cadmus interviewed five Avista DSM staff who were involved in the review process. During the interviews, we discussed several core areas of concern with the process and determined that the intended protocol was not being followed. The process dictated that the Planning, Policy, and Analysis (PPA) team independently review the energy savings and proposed incentive levels of all site-specific projects with incentives greater than $50,000, to ensure these impacts were calculated reasonably. ln 2072, only one-third of projects that met the criterion were sent to PPA for review. When Cadmus asked staff about the challenges with this review process, the following four main issues surfaced: 1. Diflerentfocusgg!a'ttention*ee*Wivsqcrossteoms. One sStaffry reported that the key personnel within the DSM department involved in the review efte+had different focuseg[s attention,_-which in some cases translated to varying objectives for reviewing and approving projects. This is a problem across manv orsanizations and is. bv no means. limited to Avista. While implementation teams are most conc€rerned with customer satisfaction and speedv and efficient delivery, planning and evaluation teams are most concerned with comoliance. At Avista,Ser+m#q the lmplementation team was focused heavily on the customer relationship, while PPA was focused on ensuring compliance with the tariff, minimizing the risk of uncertainty associated with claimed savings, and navigating relationships with regulatory bodies and stakeholders. This is not to sav that neither team was uneenee+enedunconcerned with the other's obiectives. While staffreoe*edasreed that their roles support the comprehensive functions and o// overarchine goals of Avista's DSM programs-nsti,n€on€flren+, t$es'e<*nique @fu€le+added to-misunderstandings about the value anC Bu+Beseof the review and, in some cases, differing opinions on how and when to resolve issues" ie+t' Tronsparency. Some staff who were heavily involved in Avista's site-specific projects reported not understanding the purpose, actions, or outcomes of the review. Without program- stakeholder buy-in at all levels of the process, successful implementation was challenging. One particular concern was a lack of information regarding how long the review would take to complete for each project; this made it difficult to communicate accurate information to customers on the status of their projects and the expected timeline. Time lag ond time commitment. A common obstacle cited bv all@aff interviewed bv Cadmus ag+eedwas that the review process took too long to complete for each project. Often, the issues identified during the review required further discussion to understand the assumptions behind the savings estimation, new data or information requests from the customer, or new analysis, which caused delays. Another challenge was the volume of the projects and limited staff resources. Having only one engineer dedicated to reviewing the large projects was problematic and often caused bottlenecks. Linking review with conuete octions. The review process lacked a formal follow through procedure for problems uncovered during the review. This caused frustration -as, at times, findingsandrecommendationswerenotimplemented'lnterviews@ 2. 3. 4. Staf PR 46 Attachment A Page 2 of 18 @documentationofthereviewproCess7indicatedthattheextentto which the issues were resolved varied. For enhanced deliverv of DSM services. there needs to be an agreement regarding the best path forward for calculating savings. lssues ldentified Through the Large Project Review @ofthemajorfindingsofthereviewwastheoverallrelianceoncustomer- supplied data and the need for a reliable and replicable approach to source that data. +mptemen+a+ien tearR-membersAvista staff were in agreement a6ree4that increasing the clarity and transparency about where engineering assumptions and inputs were coming from was a needed improvement and a successful outcome of the review process. Cadmus reviewed the communication logs for 22 projects that undenryent the internal review. ln addition to the above issue of reliance on customer-supplied data or assumptions (which was inaccurate in some cases), the following issues were documented for these projects: o lnteractive effects were accounted for incorrectly o Projects had missing documentation, such as invoices o EnBineering errors resulted in incorrect claimed savings and incentive amounts (the significance of these errors varied in size) Planned Process lmprovements ln2013,workedtogethertodesignanewsystemto address the challenges cited and issues discovered with the 2012 review process. The€SM staff is currently implementing a two-step review process for all site-specific projects that entails a technical review by the engineering team and an administrative review by program staff. o Technicol Review: Ensures that savings and incentive calculations in a project's Evoluation Report are well-supported, and calculated according to tariff terms and Dual Fuel lncentive Calculator policy. The new system includes a checklist with questions that guide the review, along with instructions and policy guidelines. The Technical Review will be completed before the evaluation report is sent to the customer, which contains estimated energy savings and the corresponding incentive level. o Administrotive Review: Ensures that minimum requirements are met before a contract is issued with a customer and before an incentive is paid. ln the new process, PPA conducts random spot-checks to QA/QC projects, and ensures that the review process is smooth and effective. A main distinction between the 2012 and 2013 process is that this random spot-check is intended to happen after the project has entered contract, or, in some cases, after the incentive has been paid. According to implementation staff, this will help overcome bottleneck challenges. Both checklists (the Technical Review and Administrative Review) will be formalized documents known as Top Sheets, which will be attached to project documentation through the life of the project. Avista Staff_PR_46 Attachment A Page 3 of 18 intends to synchronize the Top Sheet information with Tracker, the engineering database, and with SalesLogix, the customer information system that houses nonresidential rebate and incentive information. ln June 2013, the lmplementation team began using Top Sheets for all projects. 2077-2072 Databose €rnd Realization Rote Review As part of the 2012 process evaluation, Cadmus reviewed Avista's 2012 nonresidential project database and the 2011 and 2012 realization rates for the nonresidential portfolio. The documents that were part of each effort and our associated research questions are listed in Table lTa.ble-l. Database Review Realization Rate Review 2012 SalesLogix i Database Extract i :20tland20t2 i lmpact Evaluation Sample Are daia bejne tragked agculSlgly and consislently? Are contracts issued in accordance with Avista policy? oo inieniivts Comply wittr tariff rules ior Wisf ineton .nU iarfrol . wny oo io-1e p'ot;;j;hil ;;'y lil ;l;;tyir' 'lali.Ition 'rt.?, Are there opportunities for Avista to improve the process of , calculatinB reported savings to improve the realization rates? Database Review Tariff Schedules 90 and 190 govern how Avista can spend funds from the Energy Efficiency Rider Adjustment paid by Washington and ldaho ratepayers.l To assess compliance with these Tariff Schedules, we examined two main indicators: Project incentive amount: electric and natural gas project incentives should not exceed 50% of the incremental cost ofthe project (pp.3 ofSchedule 90; pp. 2 ofSchedule 190). Project simple payback For lighting measures, the simple payback period must be a minimum of one year and should not exceed eight years. (pp. 2 of Schedule 90) For non-lighting electric and natural gas measures, the simple payback period must be a minimum of one year and should not exceed 13 years. (pp. 2 of Schedule 90; pp. 2 of Schedule 190) Schedule 90: Electric Energy Efficiency Programs, Washington. Available at: http://www.avistautilities.com/services/enerevoricine/wa/elect/Documents/WA 090.pdf; Schedule 190: Natural Gas Energy Efficiency Programs, Washington. Available at: http://www.avistautilities.com/services/enersvoricins/wa/eas/Documents/WA 190.pdf; and Schedule 90: Electric Energy Efficiency Programs, ldaho. Available at: htto://www.avistautilities.com/services/enerevpricine/idlelect/Documents/lD 090.pdf 1. 2. a. b. Table 1. Database and Realization Rate Review Activities Staff_PR_46 Attachment A Page 4 of 18 The tariff rules make exceptions for the following programs or projects (pp. 3 of Schedule 90; pp. 2 of Schedule 190): o DSM programs delivered by community action agencies contracted by Avista to serve limited income or vulnerable customer segments, including agency administrative fees and health and human safety measures; o Low-cost electric/natural gas efficiency measures with demonstrable energy savings (e.g., compact fluorescent lamps); and o Programs or services supporting or enhancing local, regional, or national electric/natural gas efficiency market transformation efforts. (ln 20L2, Avista considered new construction fuel conversions in multifamily building projects and T12 to T8 commercial lighting conversion projects as market transformation efforts.) Applicability of Tariff to Prescriptive Prajects ing t the time of this memo. Avista's tariff was undereoins revisions and a new tariff was filed on June 26, 2013. Avista uses the tariff orovisions to: 1) design prescriptive measure offerinps and incentive amounts and 2) evaluate the elisibilitv of site-specific proiects on a proiect-bv-proiect basis to ensure compliance before approving them. Cadmus does not believe the tariff language was clear enoueh on the topic of compliance to conclude whether individual prescnptive proiects should be subiect to the simple pavback period and incentive cap restrictions at the time of rebate application approval. -lnternallv. Avista staff also expressed disagreement on this matter. For purposes of this review, Cadmus evaluated both prescriptive and site-specific projects against the provisions of the tariff described above, to allow Avista to review the findings and incorporate them into their planning. -lt should be clear that bv presenting the prescriptive findinss below, Cadmus is simplv suegesting that better claritv is needed and not necessarily tha-t -no+s'uge€stin*+halthese proiects were out of compliance. ive weuld inevitably varyi allewinB fer flexibility in the pregram delivery and the ability te pay preseriptive p+e ief,' Avista's new tariff, prepesed oroposed tariff' clarifies that moving forward, €'n+site- specific projects are subject to the incentive cap and simple payback periods at the time of proiect approval, while these parameters will be used in the planning process for prescriptive measure offerings and incentive amounts. Staff_PR_46 Attachment A Page 5 of 18 Simple Payback Findings The majority of projects were in compliance with simple payback rules. Cadmus found that all site- specific projects met the 13-year and eight-year payback periods, with the exception of some legacy projects that were initiated before the new tariff rules took effect on January !,zOL1.. Less than tO% of prescriptive projects exceeded tariff simple payback periods. Table 2T+&l+2 summarizes our findings. Site-Specific Projects Prescriptive Lighting (includes market transformation and T12 gloj_ect1)* 1 Prescriptive N on-Lighting (excludes multifamily) Total n/a 4,438,942 kwh n/a S8ss,s3s $72,L3L 5927,665 n/a 9% 6% 8% 28t to% LO% Upon reviewing a sample of 10 prescriptive lighting projects that exceeded the eight-year simple payback period, Avista found that five projects involved a T12 to T8 conversion and three projects contained database errors that inflated the simple payback period. ln these cases, what should have been entered as months were assumed to be years, and multiplied by 12. The sample size for this manual review was not large enough to extrapolate findings to the full population. However, based on the review findings, it is probable that a large proportion of the projects included in lab.!g2+e${e+ involved T12 to T8 conversions and/or experienced database errors, thus significantly lowering the impact on energy savings and incentive costs. Project I ncentive Fi ndi ngs Site Specific The vast majority of site-specific projects had incentive costs that were compliant with the tariff rule not to exceed 50% of the incremental project cost. lnitially, Cadmus found 74 site-specific projects (19%) that exceeded this cap. Upon reviewing these projects, however, we found that nearly half experienced a rounding error from Avista's Dual Fuel lncentive Calculator that put them over the 50% limit by just $0.25 (see Fieure 1Fi$+re4). Avista staff reviewed the remaining projects to understand why they exceeded the incentive cap, and found that the majority were incorrectly entered in SalesLogix. Avista reported that these projects had been calculated and processed as prescriptive projects, but incorrectly entered into the database as site-specific. Table 2. 2012 Projects Exceeding Simple Payback Periods Staff PR 46 Attachment A Page 6 of 18 Figure 1. Range of lncentive Amounts Exceeding 50% of lncrernental Costs, 2012 Site-Specific Proiects 60 50c e40(J 830o'd 20 G 10 0 tu$o*utu**S*"un"..".u$ (includesmarket | ) I I I| 2,574 ; 80% ', 26,747,g65kwh i s1% i 5z,2go,o3ttransformationandTl2 , i i i | ' t:ii Prescriptive Non-Lighting , ^.^ | -^^, I 3,220,704kWh | 58% ', a,-- .^- ""te,t- Prescriptive Significantly more prescriptive projects (74o/ol exceeded the 50% cap. As noted above, this finding was expected because Avista's program design and delivery strategy did not consider prescriptive payments as being subject to the tariff rules, and the lighting market transformation effort exceeded 50%by design. Table 3Table3 outlines the incentive payment and energy savings impacts from projects that exceeded the 50% incentive cap. 349 , 50% |. .'.. : . ..... " "i-""" i 5475,437 45%(excludes multifamily) rar I Jwla io,oaath;n:ii -: li,q^ i I I 29,968,659 kwh i 77% iTotalPrescriptive | 2,923 | 74yo i ..-;;.:^"-- ,- lo* : $z,tis,ase * Cost impact represents the aggregate amount exceeding 50% of the incremental cost. ** Avista's database extract does not denote which projects involved T12-T8 lighting conversions, Again, Avista manually reviewed 10 lighting projects that were over the 50% cap, and found that eight were T12 to T8 conversion projects, considered market transformation. Based on these findings, it is probable that a large proportion of the lighting projects listed in Table 3 involved T12 to T8 conversions, which would greatly reduce the cost impacts and energy saving impacts of from lighting projects over the 50% cap. 3A% Table 3. 2012 Prescriptive Projects Exceeding 50% lncentive Cap Staff PR 46 Attachment A Page 7 of 18 Data Entry end Dota Tracking ln addition to assessing policy conformance, Cadmus reviewed the 2012 database for data accuracy and completeness. We found that: o 8 projects were recorded as paid before construction was completed (most of these were entry errors) o 12% of all proiects were missing Construction Complete dates o 44 proiects (1% of all proiects) were missins incremental cost data o L8% of site-specific projects were missing contract date fields in SalesLogix r 1'96 ef all prejeets were missing €enstrsetien Cemplete dates r I I prejeets (1%) were missing ineremental eest data o 44o/o of site-specific projects were missing post-verification dates (and it is Avista's policy to co n d uct post-i nsta llatio n i ns pectio ns of a I I site-s pecific p rojects) Avista reviewed 20 prescriptive lighting projects to determine whether they were market- transformation projects (as noted above). They also uncovered several data errors with these specific projects. ln all 20 projects, at least one of the following issues was found: o Simple payback periods were entered in the database in years instead of months, o Simple payback periods were entered incorrectly (Saleslogix data fields were not consistent with calculations), r Prescriptive projects were entered as site-specific projects, r lnformation from invoices regarding quantity and type of light fixtures was not transferred to prescriptive incentive forms and SalesLogix correctly, o lneligible measures were rebated, and o lncentives were calculated incorrectly. Realization Rate Review Cadmus' impact evaluation methodology consisted of validating the reported savings for a sample of projects by conducting independent metering, simulation, or regression analysis and by visiting the project sites to verify that equipment was installed and operating as intended. The result of our project- level measurement and verification tasks is a verified, ot ex post, savings value for each project in the sample. The ratio of verified savings to reported savings is the project's reolization rate. A realization rate of 100% indicates that no adjustments were made to the reported savings value, ln 2011, Cadmus' nonresidential impact evaluation sample consisted of L79 electric and gas projects.2 Of those , the majority (n=112) required a saving adjustment by more than 10%. That is, 63% of projects had realization rates of either LlO% or greater, or 90% or lower. Specifically, just 35% of electric projects ' This number reflects projects with gas savings and electric savings. We actually evaluated 157 unique projects, some of which achieved dual-fuel savings. For the purpose of the realization rate review, we treated gas savings separately from electric savings. Staff_PR_46 Attachment A Page I of 18 and 42% of gas project realization rates ranged between 90o/o and 110%. This changed in 2OL2, when the majority of projects (64 of 101)3 experienced realization rates between 90% and 110% (see Figures 4 and 5 below). Cadmus analyzed how frequently the evaluation resulted in an upward or downward adjustment of reported savings, by how much, and the reasons behind the discrepancy between reported and evaluated savings. The purpose of this review is to provide Avista with information to assist in improving the reliability of the reported savings in the future, thereby improving realization rates for the non residentia I portfolio. Direction, Frequency, and Magnitude af Veritied Sovings Adjustments Cadmus determined that when savings needed to be adjusted by more than tO%, they were more likely to decrease than increase. ln other words, most reported savings for projects in this group were being overestimated, and the verification process resulted in a downward adjustment. This was true for all 2011 projects, and for all20L2 electric projects. ln2Ot2, gas projects required more upward adjustments. 2011 Projects tjggre_ZFign{€4 illustrates the distribution of realization rates in increments for 2011 projects. ln 2011, 51 electric projects had a realization rate below 90% (42o/ol, while 27 electric projects had a realization rate above LLO% (23%\ Gas projects exhibited a similar pattern, with 26 projects having a realization rate below 9Oo/o (44%l and eight having a realization rate above LL}% (1.4o/ol. Figure ?4. Distribution of 2011 Realization Rates by lncrements for Electric and Gas Projects* *Note: Percentages may not match above text exactly due to rounding ' The full2OL2 impact evaluation sample contained 109 projects. We excluded eight projects from our analysis that still had measurement and verification activities occurring at the time of writing this report. r Below 50% ',: lLOYoto L25Yo J50to75% wL25%to L50% w75to90% r Over 150% Gas Projects (n=59) Proportion of Reported Therms Staff PR 46AftachmentA Page I of 18 For electric projects, the relative proportion of reported kWh savings in each increment was relatively consistent with the number of projects in that increment. However, for gas projects, the relative proportion of reported therm savings in each increment did not accurately represent the corresponding number of projects. For example, while just L9% of gas projects experienced a realization rate of below 50% (but more than 0%), these projects represented 47% of reported savings. Dividing the projects by increments revealed that a large portion of the projects with realization rates below 90% were in fact below 50%, and most of the projects with realization rates over 110% were actually over LSO%. This indicates that not only was the range of realization rates large, but a significant portion of reported savings values were substantially different from verified savings, requiring an adjustment of 5Oo/o or greater. 2012 Projects ln2OL2, realization rates improved. Rates were less variable, and projects required smaller reported savings adjustments than those in 2011. For example ,6Lo/o of electric projects and 67% of gas projects had a realization rate between 90% and 110%, leaving only approximately one-third of projects that required an adjustment over 10% (see Fisure 3F+gu++.5). Of the 2012 electric projects that required an adjustment over 10%, most required a downward adjustment (18 projects; 31%). This is consistent with 2011 results. Of those 2072 gas projects that required an adjustment over LO%,the direction was upward (eight projects; 19%). Figure 35. Distribution of 2012 Realization Rates by lncrements for Electric and Gas Projects *Note: Percentages may not match above tefi exactly due to rounding Cotaloging Projects with High and Law Reolizatian Rotes To understand more about the projects that had severe adjustment factors (very high or very low realization rates), we conducted a desk review of the project files and engineering analyses for a sample r0 ffi 90% to 110% Electric Projects (n=59) Proportion of Reported kwh Gas Projects (n=42) Proportion of Reported Therms I Below 50% .',.tL0Yoto 125% a50%to75% w75%ro9O% #t25%to 150% : Over 150% Staff_PR_46 Attachment A 10 Page 10 of 18 of projects from 2011 and 20L2. Specifically, this sample entailed projects with electric savings that had been adjusted by over 25o/oin either direction (a realization rate below 75% or above t2\o/ol. The original sample size was 75 projects; 57 from 2011 and just 18 from 2072. Upon reviewing the 2011 project files, we found that seven projects did not have sufficient reported savings documentation to accurately conclude the reason for the savings adjustment. Therefore, the final 2011 sample size was 50, leading to an overall sample size of 58. Based on our review, Cadmus concluded that there were nine main reasons for the savings adjustments; these are outlined in Table 4Ta$le-4. Table 4. Reason Categories for Variable Realization Rates 1. Participant Operator Error I i. C"rcrirti"" E;;;;i; C6;n;J - , Savings required adjustment due to customer actions, such as installing or operating equipment incorrectly Reported savings calculations or assumptions were incorrect Cadmus used updated deemed savings values for ENERGY STAR clothes washers, dishwashers, freezers, and refrigerators to verify savings, requiring an adjustment from the reported values, which relied on older Cadmus used metering results to inform verified savings, while Avista used other tools to genera-te reported savings estimatgs Both Cadmus and Avista used metering results to inform savings values; .fr oweve r, th e 99m gan j e1'- p: ra m -ete J: ol_.!! m j 1c oire-59 Some values in the database extract were erroneous due to a database error, not a human error, and savings needed adjustment to reflect the accurate value I Cadmus and Avista used different methodologies to calculate savings (i.e., I, regression analysis versus simulation), creating different results :I The reported savings for some lighting projects were based on incorrect HOU assumptions The on-site equipment parameters (size and efficiency) differed from the : assumptions used in the original savings estimate 3. ENERGY STAR@ Appliances Deemed Savings Update 4. Cadmus Metering Results vs, Avista Simulation or Analysis 5. Cadmus Metering Results vs. nv!1q Metering Results 6. Database Error 7. Cadmus Calculation Methodology vs. Avista Calculation Methodology 8. lnaccurate Lighting Hours-of-Use (HOU)Estimates 9. Equipment Verification ln 201.1, the most frequent reasons for savings adjustments of 25% or greater were due to metering results being over the original estimates formed using simulation or analysis (n=10) and calculation or assumption errors in the reported savings values (n=10). Other top reasons included ENERGY STAR deemed savings updates (n=9) and differences in Cadmus' and Avista's calculation methodology (n=8). ln 2072, there were far fewer projects with adjustment factors of 25% or greater. The top reason categories in 2Ot2 stayed relatively consistent with those in 2011, excluding the ENERGY STAR deemed savings updates. Staff_PR_46 Attachment A 11 Page 1 't of 18 Fiaure 4EigN illustrates the number of projects in each of the reason categories outlined ip Table tllable4, scross both yesrs. Appendix A Table 8 catalosues the oroiects requiring a savines adiustment of 25% or greater. Table 8Table8, at the end of the memo, lists the specific projects included in the review and a description of each project's specific savings adjustment. Figure ![6. Number of Projects with Savings Adjustments of 25o/o or Greater by Category,2Otl-2A12 lmpact on Gross Sovrngs While the majority of savings adjustments in 2011 resulted in decreased savings, certain reason categories experienced realization rates higher than 100%, on average. For example, three reason categories (Cadmus Metering Results vs. Avista Simulation or Analysis, ENERGY STAR Appliances Deemed Savings Update, and Equipment Verification) resulted in increased savings. ln other words, the projects in these groups experienced realization rates higher than 100%, on average. ln 2012, just one reason category (Cadmus Metering Results vs. Avista Simulation or Analysis) resulted in increased savings. Projects in the other 2012 reason categories (Calculation Error in Reported Savings, Cadmus Calculation Methodology vs. Avista Calculation Methodology, and Participant Operator Error) resulted in decreased savings. The aggregate kWh impact for each 2011 reason category is listed in Table STabls4. The aggregate kWh impact for each 2012 reason category is listed in Table 6Tab{e€. L2 10 0 E8'a 4$oo o€4tr =z 2 .20L2 .2OLL '.""-" ".f.{.s1""."s-i1f$c $J"un Staff_PR_46 Attachment A 1,2 Page 12 of 18 @ o(o oct)(E(L \t o E!oC' (oor dIL*t Ga xxo<t ssot\ S:)l xFt do\dO,O O <fln(noro lri, -. r- iFl;,ro i1N:ltn i ii(tlid :0orO AJ o- Et! co,F (o (! o u(!o- .E (l) -c .g bI)c't (s EC]E c., fi o o o c OJI OJo- (g (E 0.,ucc,L QJ € OJc 0)s ,9 ,qEt---* N:Nsf .mN:N sli rYt'otFi xrsodN _^-, _ | .lnor,o,ut : trlIn .N ,,,,,,.',,1, IF-l I lYlrr l@Fl IFl :otro i<l I o)l(D(o l<fCO rO]Nlo: t-{ ,ln.:. .-.r i olln 1 l I I : , c'..9 1orUiE]L]o, I):eiclo:Eio_-'=lgE, OLLI F =6q:OJJd,fr,ood_.gbn OoJ,= .! 6,' O) ^,zoJa6>(E:--oF(!s€Eou< I l : l I Ij 1: ttt \O \O \O N ir{ F{ (n Fl slF{ lt.o l,}\ lo{ c1 6llft: O00.r\ (or'\ I r{ r{Or\@ulr .1Fl I 1..r{ l'\rtr $ Nsf(n (n6: rnrd. ra6: rOFl: (o Ni F{ fn Flr\ @cor\ ro oL UJ o(, o)o.o c(oo.'o,F (o CL \o Nxo "- ' *---t-*--* N:CONlNui]lnr"-:dr.t{,iN i;R'Xnoo: Orsf$:+f- : Orlorsf >R .;QOl\ NiN(oif\c{:sr\iNlJ, : tO O)iolO:str.. \l fni@stlNFllr{ Fl l\(oNG,l : otrtIstl/t otFl:(n a(,\o r{iOtrr{(\r i o'r 1 tlFtio-r.1(Drot{N:o1rot6i t::i x>RS(oNFl:d r'{ lOr.{ OriN Or FlN >eodt. ol@O) NLr)oI Fl sm ChiFl ,moo:(Y',):siOlit-rlOOriNrr\l@iq.Flilnco. , ooroGl(o,(oorNiN,0O(ntr\l(.oiNlrnirnj r{lFlt ,: o,E ii'og ,!6h 3sr .6i=a5 il PE gg6 -*b.s =o-=o5{Ep5 E E oo & E 9 €i=si' *;dg;;" : ! E s p E p: E:5 e E E fi M H E E g 6iE E ooOLr}(oFlrnF.:Nri(oio)N:lnG1:G}l: o (!o(, o\o tnN o I 0, E t!o u!',(!ltt g 3 a{,'5' o. o q,l !ounc, t!U o t!o ,t 3 !o G'o o b!c o(n !o 'io -c,c(! 'oo oo.0,u oal 'd(,3(0 otoriirl @ o* ocn(gIL o,EE(,)s @ol EtL ul(E U) ..-'**-'i^**'i^_* S ilR iXel 1O iOli;ii >R i "SF{ : :trt ;l'-; oio-r{,<t<tOtD6,1 ; an <l o.Ei lrl- : 6) gt ,d sflrl ! (f F iN irA i I | | i'ii, ;::,:;'i - :. i :'!i:NN'osfNl,)FN:r\\o(oor<rroNor r! Ot F{st'ilD : >Ro\o st o (ooL(9 o o\lnN oq o E t! u0c (tvt &'t IJq,'5' o. o (, ou!4J ou o ooE .: 3 '1Oo (! (Jog n0tr'iot1To 'io ! Itt1'q,tonod, N()N ut C)3(!F x >q >R ssN st Fl O:tXriAj ,!:iE:(o : : i ,qi;i:ci : : :O: : , .Ei5(r1 O N O,n!*N N Ol :O mi5O) . i-{ q O_ .t: orrYi d r'i ioi+:st (n rilN F i YN tn !i :':q,H-.'tr, .0,m sl 6 ' :Ll.t !NNto'loPn q \ idl ,.E@ 00 0 :lr -(o ro st :t\ hb\ or m io.. .s!-{ :m ;,, , ' : , ',io Fl rrt 6 Oi<i.PJ , Ln O O'l\:.Y(\t : d) r\l o.t\ i:=S -i d jdib '4: q st, :<.,=r{ : ri : iti;E, ; ,o I -lP:i(o , ro , rn ,;ioq'9.t.I: i ;-o, : tE : ' i 1g uoio:9.:rg;.e € T i :3q- O tr gi iort Z'E : oi OiF,6 ,E E Ei€i;= ,&* ti H: b,E.q c 9i tsI ci'E E '; E, E: o:ir3 = o oJ. iliE=dto-Ei*!rcQ: 9 q,:)roUOcEi:E(Jo6.o=:Et'6;2;!HoE,.9: ,gitr > i = E,.9'-.ei .U € < * 6'=,E g rI >,o ui; (! fo:G O -t <iLJ > Z. l) (^.d Fi+::ii Fisure 5$igure-7 illustrates 2011 projects in each reason category as a percentage of the total sample compared to the percentage of each categories' net kWh impact. While the ENERGY STAR Appliances Deemed Savings Update category contained nine projects (representing about 8% of the total sample), the net difference in ex onte and ex post savings was actually minimal: a gain of 1,151 kwh (see Table lTabJeS), less than O.O7o/o of savings in the impact evaluation sample. The Cadmus Calculation Methodology vs. Avista Calculation Methodology category had similarly minimal savings despite containing a relatively large number of projects (eight). On the other hand, the Cadmus Metering Results vs. Avista Simulation or Analysis and Participant Operator Error categories represented 8% and 3o/o of projects, respectively, but the net differences in ex onte and ex post savings represented L3% andTo/o of the total verified savings in the impact sample, respectively. Figure $. Relative Proportions of Projects and Savings lmpacts by Reason Category, 2011 r Metering vs. Simulation ' ES Appliances Update ir lnaccurate HOU ,ir Database Error I Calculation Error, Rprt'd Savingsr Diff. MethodologyI Participant Error x* Diff. Metering Results Net Difference as % of Verified Savings in Sample % of Total Projects in Sample ln 20t2, the percentage of projects in each category was higher than the respective percentage of kWh savings in each category (see erfor! Not a valid bookmark self-reference.Figr++e8). For example, the Cadmus Metering Results vs. Avista Simulation or Analysis and the Cadmus Calculation Methodology vs. Avista Calculation Methodology categories both represented 10% of all projects in the evaluation sample, but their net differences in ex ante and ex post savings were relatively small, representing only 2% and 4% of the total verified savings in the sample, respectively. Staff_PR_46 Attachment A 16 Page 15 of 18 Figure Q8. Relative Proportions of Projects and Savings lmpacts by Reason Category, 2012 r Metering vs. Simulation lCalculation Error, Rprt'd Savings Diff. Methodology r Participant Error Net Difference as % of Verified Savings in SamPle %of Total Projects in Sample Co ncl u sion s a n d Recom me n dati ons Based on the above findings, we offer the following conclusions and encourage Avista consider the recommendations listed below to improve their internal processes. Large Project Review Process Conclusion: Avista's 2011 Large Project Review process was not implemented successfully due to a series of communication issues and the absence of a mechanism to address concerns about project parameters and correct mistakes. ln the first half of 2013, Avista has been designing a new process for all site-specific projects. While this process is underway, we have several recommendations may assist Avista with successful implementation and an effective process. Recommendations: o Elfectively communicate the new projed review process to all key teom members. Many of the issues identified through Avista staff interviews regarding the prior review process centered on communication challenges. When implementing the new process, ensure that all stakeholders have a clear understanding of the review goals and correct protocol. c Ensure there ore clear protocols in place for oddressing issues identilied during the review and the spot-check To ensure that Avista and its customers are benefiting from the time and resources dedicated to this process, consider implementing some check-points and policies to clarify how and when to alter project savings and incentive levels if issues arise during the review. This may include designating a senior-level point person to serve as the decision-maker for questions or disagreements regarding a project or its calculation methodology. Consider identifying methods to ensure that all issues are discussed and resolved before incentive amounts are communicated to the customer. c Establish a gool for the number or percentoge of projeds that should undergo o random spot- check. Avista's new process dictates that the PPA team will independently review a sample of Staff_PR_46 Attachment A 17 Page 16 of 18 projects, in addition to the peer review process. We suggest establishing a clear metric for the number or percentage of projects this sample will include, such as five projects or 10% of all projects. Establish a reosonoble goal for how long the review process should toke, A core challenge with the prior review process was the time lag. Keeping in mind that any process aimed at improving the quality and accuracy of incentive payments and claimed savings will add time to existing procedures, Avista should internally discuss the amount of delay that is reasonable. lt may be beneficial to create objectives for how long various steps of the process should reasonably take. For example, Avista could establish one goal to complete the first Top Sheet review within a certain timeframe, then establish another goalto guide how long it should take to resolve any issues, if identified. Consider odopting a tiered approach to the review so that larger, high-risk projeds receive more scrutiny before controcts ore issued and incentives are poid. Under the planned approach, all site-specific projects will undergo peer review. Often, utilities employ a risk- mitigation approach to ensure that the largest and most expensive projects receive the most rigorous review before they are approved. Avista might explore adjusting their review process to focus the most time and resources on larger projects. An example of this type of approach is provided in Table 7Ta${e+. Peer Review secona engineeiini neview Projects above $50,000 Third Engineerine Review PPA Review Pre-tnstaltition visiii nanOom arOit (rpoi-cft".i) Projects above $75,000 Projects above $1OO,OOO Projects above S1OO,OOO, ftus others as needed 5 projects or t0% of all projects Consider struduring rondom spot-checks, or "oudits,' to occur ot vorious times ol the process. The current review structure plans to have some projects receive independent review after the project evaluation report is complete or after the project is paid, so that any rnistakes can be corrected for future projects. However, it may be beneficial to stagger projects so that a random portion also receives independent audits before incentive information is communicated to the customer. Database and Realization Rate Review Conclusion: The accuracy of Avista's claimed savings, measured by realization rates, improved significantly from 2011 lo 2072. Three of the four main reasons for large savings adjustments in 2Ot2 are largely outside Avista's control. However, Avista can still improve the reliability of claimed savings estimates falling into the reason category of Calculation Error in Reported Savings. Table 7. Example of Tiered Approach to Large Project Review Staff_PR_46 Attachment A Page 17 of 18 Recommendation: o Continue to move forward implementing the new review process to identify and resolve savings calculation errors. Conclusion: Most of the nonresidentialprojects were compliant with the 2012 tariff rules, but disagreement among DSM staff on tariff interpretation makes it difficult to draw conclusions about prescriptive projects. Avista has already begun updating the tariffto address this concern and create a more coherent policy. There are several improvements Avista can make to data tracking activities to clarify policy compliance on a project-by-project basis and improve data collection overall. Recommendations: o Clearly document legocy projeds or morket transformotion projects in Saleslogix. Avista's tracking system specifies measure type, but lacks detailed information such as whether the project involved a T12 to T8 lighting conversion. This makes it challenging to understand which projects are considered market transformation. Further, legary projects are not specified. To streamline internaltracking, auditing, and evaluation, consider adding a field to denote which projects are eligible for transition policy (legacy projects) and which projects are considered market transformation, as well as any other project characteristics that warrant exception to tariff rules under Avista's new policy. c Continue to improve doto entry in Saleslogix to reduce missing or incorrect fields and enhance the comprehensive dataset. Staff_PR_46 Attachment A 79 Page18of18 AVISTA CORPORATION RESPONSE TO REQUEST FOR INFORMATION JURISDICTION: IDAHO DATE PREPARED: 0110612014 CASE NO: AVU-E-I3-09/AVU-G-13-02 WITNESS: REQUESTER: IPUC Staff RESPONDER: David ThompsonTYPE: Production Request DEPARTMENT: DSM Policy, Planning & Analysis REQUEST NO.: Staff-48 TELEPHONE: (509) 495-282r REQUEST: Please explain why Avista sent only one-third of projects with incentives over $50,000 to the Planning, Policy, and Analysis (PPA) team for review in20l2, even though Avista did not suspend the review process until January 1,2013. RESPONSE: The understanding of the engineering team in sending projects to the PPA team for review was that the review process was designed for site-specific projects with individual measures exceeding $50,000. Therefore, prescriptive projects and projects with multiple measures that in aggregate were more than $50,000 were not consistently forwarded to the PPA team for review. AVISTA CORPORATION RESPONSE TO REQUEST FOR INFORMATION ruRISDICTION: IDAHO CASE NO: AVU-E-13-09/AVU-G-13-02 REQUESTER: IPUC StaffTYPE: Production Request REQUEST NO.: Staff-S1 DATE PREPARED: 0l/07 12014 WITNESS: RESPONDER: DEPARTMENT: TELEPHONE: David Thompson DSM Policy, Planning & Analysis (s09) 49s-282t REQUEST: While the PPA independent review of large projects was in place (August 2011- January 2013), please provide the percentage of reviewed projects that were found to: l) rely too heavily on customer data,2) use incorrect interactive effects,3) have missing documentation (such as invoices), or 4) contain engineering errors that resulted in incorrect claimed savings and incorrect incentive amounts. RESPONSE: From August 2011 through January 2013, seven (7) Idaho non-residential projects were reviewed by the PPA team. It is important to note that this review was conducted at a "single point in time" of the project life cycle (i.e. project not yet completed). Issues identified at the time were reported to the Implementation team for their review, response, and opportunity to address. Some items were subsequently classified as non-issues based on an interpretation of subjective engineering judgment. For the seven projects reviewed during this time period:o Three final reports incorporated some adjustments to the energy acquisition and incentive calculations associated with the energy effrcient measure;o One project missing documentation, that when collected from the Implementation team, substantiated the project costs along with the claimed energy efficiency acquisition and incentive calculation;o One project did not complete and, therefore, did not claim savings or go to payment;o One project's primary recommendation was for a regulatory review prior to payment that was then issued; ando One project had multiple recommendations that were addressed but for a remaining question about the applicability of a baseline assumption. Post-installation measurement and verification of the installed unit showed the actual savings were in alignment with the estimated savings of the original report and updated both the claimed energy acquisition and incentive amounts. AYISTA CORPORATION RESPONSE TO REQUEST FOR INFORMATION ruRISDICTION: IDAHO CASE NO: AVU-E-13-09/AVU-G-13-02 REQUESTER: IPUC StaffTYPE: Production Request REQUESTNO.: Staff-52 DATE PREPARED: ll2l20l4 WITNESS: RESPONDER: DEPARTMENT: TELEPHONE: Lori Hermanson DSM Policy, Planning & Analysis (s09) 49s-46s8 REQUEST: Please provide a trend chart of all non-incentive utility pro$am costs as a percentage of total DSM program costs from 2002to2012. RESPONSE: The chart below provides a trend of all non-incentive utility program costs as a percentage of total DSM program costs from 2005 to 2012. Non-incentive utility costs include labor and loadings, evaluation, measurement and verification, stakeholder meeting facilitation, customer outreach as well as third party program adminishation such as Energy Smart Grocer, Simple Step Smart Savings bulb and showerhead buy-down, appliance recycling, mobile home duct repair and a behavioral progrulm. Non-incentive utility costs in 2011 increased mostly attributable to the launch of Avista's 'CFL contingency' program which enabled the Company to reach its energy efficiency targets. In2012, non-incentive utility costs were up from earlier years due to increased contribution from the Northwest Energy Efficiency Alliance coupled with increases in labor and labor loadings costs. In 2005, the Company converted its financial systems so information prior to 2005 is not consistent with the current tracking of non-incentive utility costs. Non-incentive Utility Costs as percentage of DSM Budget 4oo/o 35olo 3OYo 2sYo ZOYo lSYo -Ntuc% LOYo 5o/o OYo 200s 2006 2007 2008 2009 20Lo zolL 20L2 AVISTA CORPORATION RESPONSE TO REQUEST FOR INFORMATION JURISDICTION: IDAHO CASE NO: AVU-E-I3-09/AVU-G-13-02 REQUESTER: IPUC StaffTYPE: Production Request REQUEST NO.: Staff-55 DATE PREPARED: 0110612014 WITNESS: RESPONDER: DEPARTMENT: TELEPHONE: Chris Drake DSM (s09) 49s-8624 REQUEST: Please provide a detailed list of measures that were not compliant with DSM tariff rules. For each measure, please provide the simple payback period, the incented amount and whether or not the measure exceeded the 50% cap. Please provide the specific cost-effectiveness calculations that demonstrate the measure was still cost-effective. RESPONSE: Please see Avista's response StafLPR_55C, which contains TRADE SECRET, PROPRIETARY or CONFIDENTIAL information and exempt from public view and is separately filed under IDAPA 31.01.01, Rule 067 and233, and Section 9-340D, Idaho Code. The Company followed processes and procedures as set forth in its DSM tariff Schedule 90. Schedule 90 previously did not explicitly mention prescriptive (or 'standard offer') programs. Prescriptive programs allow the Company to offer a fixed amount for the installation of measures without the need for individualized calculation of the rebate or the signature of a pre-project agreement. This approach is important to the efficient marketing and administration of programs promoting small measures. Prescriptive programs have been a critical element to the Avista DSM portfolio for many years. The Company proposed and received approval of additional language to provide greater clarity of how these progrirms are offered and designed in compliance with tariff rulesl. The clarification was as follows: Prescriptive progftrms are guided by the typical application of that measure in accordance with the previously defined incentive structure. Incentive levels for these progams are based on market conditions at the time of program design and are not dependent on actual project cost relative to incentive caps. Incentives shall not exceed project costs. Please see Staff PR_55 Attachment A. The attached list includes 48 measures along with their simple payback period, incentive amount, percentage of measure cost and cost-effectiveness calculation. Notably: o Of the 48 measures that went over 50ol0, 45 of them were by only about $0.50. ' Advice No. l3-04-E