PY2012 AUTO-DR PROGRAM Process Evaluation Findings November 12, 2014

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  • PY2012 AUTO-DR PROGRAM Process Evaluation Findings November 12, 2014
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  • Presentation Agenda PY2012 Auto-DR Program Process Evaluation Findings 2 Overview of Evaluation Effort Summary of Methods Key Findings & Recommendations
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  • Overview of PY2012 Auto-DR Process Evaluation Effort PY2012 Auto-DR Program Process Evaluation Findings 3 Opinion Dynamics conducted a process evaluation to explore a variety of research areas. This presentation focuses on findings from the following areas: Participant Snapshot Motivations and Benefits Barriers and Challenges to Participation Program Processes Communication
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  • Summary of Evaluation Efforts PY2012 Auto-DR Program Process Evaluation Findings 4 The evaluation team conducted the following tasks: Evaluation TaskDescription Program Materials and Database Review Analyzed the Auto-DR and other DR program databases to characterize and understand the participant population Program Staff InterviewsConducted telephone or in-person interviews with program staff from each of the three IOUs Program Stakeholder Interviews Conducted telephone interviews with 25 program stakeholders across the three IOUs. These stakeholders include key account representatives, vendors, program verification engineers and DR program staff 2012 Participant SurveyFielded telephone survey to 179 program participants with contact information, resulting in 49 completes 2013 Participant Interviews Conducted telephone interviews with six 2013 participants across the three IOUs
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  • 2012 Participant Survey Response Rates PY2012 Auto-DR Program Process Evaluation Findings 5 We fielded a telephone survey to a census of 153 customers with valid contact information out of a total of 224 enrolled participants 49 participants completed the survey, for a statewide response rate of 32% IOUNumber of Survey Respondents Number of Participants with Valid Contact Number of Participants Enrolled PG&E104593 SCE3497113 SDG&E51118 Total49153224 Participant Population and Respondents, by IOU Over 32% of enrolled participants had missing or invalid contact information Response rate: American Association for Public Opinion Research (AAPOR) Response Rate 4.
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  • Survey respondents were generally representative Statewide PY2012 Auto-DR Program Process Evaluation Findings 6 Respondents are generally representative, however, given the limited number of completes by IOU (49), we present findings at a Statewide level In general, survey respondents represent: 22% of total statewide enrolled participants, and by IOU, represent 11% of PG&E participants, 30% of SCE participants, and 28% of SDG&E participants [1] [1] A mix of active [2] (82%), partial [3] (6%), and inactive [4] (12%) participants [2] [3] [4] A mix of eight DR programs, including both capacity and pricing programs, as well as aggregator-managed programs A range of sectors, including manufacturing, agriculture, building operators, and hospitality 65% of participants with a single site and 35% of participants with multiple sites Represent 23% of realized load-shed for PG&E customers and 20% of realized load- shed for SCE customers
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  • 2012 Program Participation Snapshot PY2012 Auto-DR Program Process Evaluation Findings 7 In 2012, there were: 224 unique enrolled customers, totaling 1,119 sites* The largest share of participants comes from SCE (113 customers, 634 sites), with the smallest from SDG&E (18 customers, 115 sites) The program paid out incentives of ~$40 million to the 224 participants enrolled from November 2008 December 2012** Three quarters of participants are active (i.e., participated in at least one DR event in 2012) Over one third participate in multiple DR programs Over one half install technology the control multiple equipment types (52%), primarily HVAC *A site represents technology installed at one customer site at one point in time defined by their service account identifier. **Covers participants with incentive data
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  • Customers perceived a variety of benefits to participating in the program PY2012 Auto-DR Program Process Evaluation Findings 8 The majority of respondents first became aware of the program incentives through their utility account rep (55%) FindingIllustrative Quote The majority of respondents (61%) reported that the technology lowered their operational costs [The technology gave us]the ability to have greater control over the facility, control energy costs, and receivecredits for participating in [demand response] events. About half of respondents (49%) reported that the technology reduced their energy use on non-event days [The technology helped]reduce energy usage and save money in the process. Nearly half of respondents (43%) reported that the technology increased their operational efficiency The same technology controls the entire refrigeration system with advanced capability, graphic trends, alarms, better interface. Responding Participant Benefits of Participating in Auto-DR Program (n=49) About 1/3 of respondents reported reducing operational costs was primary selling point of program
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  • Customers report that technologies make participating in events easier PY2012 Auto-DR Program Process Evaluation Findings 9 Respondents Indicating Whether Installation of the Technology Made Event Participation Easier, More Difficult, or the Same (n=19) Note: We asked this question to those respondents who were already enrolled in a DR program before they installed the Auto DR technology. 68% said that technology made event participation easier a reduction in costs, helping meet savings goals inconveniences in time of day their employees had to work, when the lights shut off, and events increased production time of respondents who participated in an event in 2013 said it had no impact on their business
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  • The Auto-DR Program channels customers into DR programs PY2012 Auto-DR Program Process Evaluation Findings 10 Auto-DR incentives motivated respondents to enroll in DR programs (Program requires enrollment in DR program prior to receiving incentives) A little over half of respondents enrolled in DR programs after enrolling in Auto-DR Of these, most indicated they would not have enrolled in the DR program if the Auto-DR incentives were not available
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  • Challenges revolve around technology and installation, event participation PY2012 Auto-DR Program Process Evaluation Findings 11 CategoryDid your company encounter any challenges when participating in the program? FrequencyPercent No challengeNo challenges2242% Technology and Installation Challenges Technology didnt work/work correctly (4) Some areas/equipment cannot be altered (2) Set-up/programming challenges (2) Staff learning to use technology (2) Technology did not meet load reduction expectations (1) Communication issues (1) 1224% DR Event Participation Challenges Customer/client satisfaction (3) Load reduction required (1) Timing of event days (1) Demand response program challenges (1) Too time-intensive (1) Changing production schedule (1) 816% Program Processes Challenges Application process (2) Challenges with utility staff (1) Problems with vendor (1) Lack of coordination (1) 510% Decision-Making Challenges Too good to be true/ no money given (2) Tough to convince management that systems payback (1) Disagreement within company (1) 48% Other 24% Challenges Encountered while Participating in the Program (Multiple Response: n=49) Its still not operational, it didnt work, and after installation, [the] services were poor.
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  • Reactions to the 60/40 incentive structure Auto-DR Evaluation Interim Stakeholder Findings 12 Customer implications None of the 2013 participants interviewed were affected by the 60-40% incentive structure. Some were unaware of it, while others said that the vendor received the incentive and assumed all risk Vendor implications: 6 of 7 vendors say they have lost customers because of the changed incentive structure Vendors report that lending institutions unlikely to finance projects Small vendors most upset, and may make some small vendors exit the program Engineer implications: May improve realization rates between load shed estimate and event participation (increases customer incentive to participate and decreases vendor incentive to put in aggressive estimates)
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  • Participants are generally satisfied, however there are opportunities to improve application processing PY2012 Auto-DR Program Process Evaluation Findings 13 Vendor Comments: The processing time can be extremely long; it was longer than the expectation. It took a long time to process the application issues with verifying the information provided in the application. Six months later, most of the applications for enrolling other sites have not progressed. Respondents were least satisfied with the length of time it took to fill out the application, and the length of time to process the application Vendors note they lose customers because of wait time Vendors report that engineering review process is time consuming Account reps indicate slow review process, takes too long, complex process
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  • Customers and stakeholders suggest opportunities to improve communication PY2012 Auto-DR Program Process Evaluation Findings 14 Overwhelmingly, respondents suggest improving communication and information provided about the DR program and program events Customers suggest providing more information about when events were coming, the number of events that would be called, and receiving notification earlier, and meeting at the beginning of the event season to remind participants of up- coming events Stakeholders report issues regarding communication of how incentives are calculated and communication regarding project status Vendors want transparency in the incentive calculation to reduce the risk of receiving lower incentive. In particular, want more information on how baselines are chosen to estimate load reduction Engineers note that their baselines are typically more conservative than vendor baselines (i.e., peak load rather than average load) Vendors report that they typically dont know project status and suggest online project status tracking system from IOUs Account reps indicate that they would like to know best IOU contact to refer key questions
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  • Key Opportunities & Recommendations PY2012 Auto-DR Program Process Evaluation Findings 15 Communication Provide enhanced training to vendors and acct reps regarding the program Conduct project-specific meetings with key stakeholders to better explain the program, increase transparency of baseline calculations, and clarify concerns Provide status updates to stakeholders and participants throughout the participation process Barriers and Challenges to Participation Enhance vendor quality control activities to ensure operability of technology We understand that the program is open to any vendor with a qualifying technology and the IOUs cannot make vendor recommendations; however we suggest that the IOUs consider approaches that address operability of technology to increase participation as well as enhance customer satisfaction
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  • Potential future research areas PY2012 Auto-DR Program Process Evaluation Findings 16 Explore effects of 2012-2014 program design changes by tracking the following metrics year-over-year to assess their impact: Number of newly enrolled customers Number of participating vendors Proportion of participants that participate in events in a given year Explore data mining options to characterize participants to: Provide insights into the type of participants who provide consistent and reliable load-shed Identify incremental impacts and characteristics of participants by assessing load impact and other metrics between Auto-DR and non-Auto-DR participants Target recruitment by exploring differences between participants who enrolled in a DR program before or after installing the Auto-DR technologies, as well as profile enrollment by DR program
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  • Contact Information Auto-DR Evaluation Interim Stakeholder Findings 17 Olivia Patterson, Project Manager Opinion Dynamics, 510-444-5050 x111 [email protected] Megan Campbell, Director Opinion Dynamics, 858-270-5010 [email protected]