Auto-DR Implementation in California State Utilities
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1 Enhancing Price Response Programs Through Auto-DR: California s s 2007 Implementation Experience Greg Wikler Global Energy Partners, LLC Albert Chiu Pacific Gas & Electric Company AESP 18th National Energy Services Conference Clearwater Beach, Florida January 30, 2008
2 Auto-DR Implementation Team California IOUs PG&E SCE SDG&E Global Energy Partners, LLC Lawrence Berkeley National Laboratory s Demand Response Research Center Akuacom Electric Power Research Institute Technical Coordinator Vendors: ACCO Engineered Systems C&C Building Automation Energy and Power Solutions RTP Controls California Energy Commission 2
3 Presentation Overview Auto-DR Overview 2007 Results Statewide PG&E s Auto-DR Program Next Steps for Auto-DR 3
4 A New Approach to DR Automated Demand Response Automated Demand Response (Auto-DR) is a communication and technology platform designed to: Provide customers with automated, electronic price and reliability signals Provide customers with the capability to identify and automate site specific demand response strategies Transition demand response toward being on the same operational foundation as conventional generation resources Auto-DR can support all DR and pricing options Auto-DR is not a program but rather a platform for enabling existing and proven technologies 4
5 Auto-DR Regulatory Objectives As Established by the CPUC Objective #1: Accelerate Implementation Objective #2: Expand Auto-DR to a Variety of DR Program Offerings Objective #3: Expand the Role of Auto-DR Technical Providers Objective #4: Improve DR Peak Reduction Performance 5
6 Current Auto-DR Program Efforts in California Pacific Gas & Electric Nearly 23 MW of developed capability $5.5 million expended in program development and rebates Auto-DR platform established for Critical Peak Pricing and Demand Bid programs Southern California Edison Over 2 MW of capability under development Pilot program targeting customers Focus is on industrial process loads Auto-DR platform established for Critical Peak Pricing program San Diego Gas & Electric Over 2 MW of developed capability Pilot program targeting DR aggregator programs 6
7 Statewide Results of Auto-DR Implementation (updated results) CPUC ACR Objectives Accelerate Implementation Commercial participants 13 Industrial participants 0 Peak Load Reduction 1 MW 2. Expand Auto-DR beyond CPP to CPP other DR options only 3. Expand the role of Technical Providers none Installed In-Process MW 2 MW CPP, DBP, CBP 8 industry participants 2007 Total MW 4. Improve DR performance (Peak Reduction) Commercial Industrial Aggregate All Participants 13% % 52% 33% NA 54% 54% 20% 52% 33% 7
8 PG&E s s 2007 Auto-DR Program Program Goals: Achieve peak demand reduction of 15 MW (increased to 20 MW late in the season) Improve PG&E s demand response program effectiveness through automation Commercialize Auto-DR program delivery 2007 Auto-DR program open to customers on Critical Peak Pricing (CPP) and/or Demand Bidding (DBP) programs Nearly 23 MW recruited, tested and ready for program deployment All 12 CPP events were held this summer (between 6/13 and 8/31) One DBP test event (4 hours) held on 8/30 8
9 Auto-DR 2007 Participant Success Story 2007 Automated Demand Response Program Participant Success Story Customer load shed communications and achievement Customer satisfaction Comments from Demand Response champions Produced by: Tech Closeup TV (408)
10 Auto-DR System Architecture End- to-end Automation 10
11 PG&E 2007 Auto-DR Program -- Data Summary Facility Type Number of Service Accounts Estimated Load Reduction (kw) kw Percent of Total Biotechnology % Data Center % Healthcare % High Tech 20 1, % Industrial Process 4 15, % Government (state, local) % Museum % Retail 32 3, % School District % Total 82 22,835 A total of 82 PG&E service accounts Baseline peak demand representing over 72 MW Estimated reduction amounts nearly 23 MW Average reduction of 32% (mainly driven by large industrial participants) Average facility reduction of 18% (for non-industrial participants) 11
12 PG&E Auto-DR Participant Makeup Program Participants by Industry Type 2.4% 3.7% 2.4% 2.4% 39.0% Biotechnology Data Center 24.4% Healthcare High Tech Industrial Process Government (state, local) Museum Retail 4.9% School District 1.2% 19.5% 12
13 PG&E Auto-DR Participant Makeup (cont.) Estimated kw Demand Reductions by Industry Type 0.1% 0.8% 3.7% 1.2% 7.3% 15.8% 0.1% Biotechnology 4.1% Data Center Healthcare High Tech Industrial Process Government (state, local) Museum Retail School District 66.9% 13
14 PG&E Auto-DR Participant Makeup (cont.) Estimated kw Demand Reductions by DR Program 0.5% Type 11.2% Critical Peak Pricing (CPP) Demand Bidding (DBP) CPP/DBP Combined 88.3% 14
15 PG&E Auto-DR Participant Makeup (cont.) Estimated kw Demand Reductions by Type of DR Measure 14.7% HVAC Adustments 66.9% 18.4% HVAC Adjustments and Lighting Reductions Process System Adjustments 15
16 PG&E 2007 Results CPP Events Date of CPP Event Number of Participati ng Sites Estimated Load Shed (kw) Actual Load Shed (kw) CPP Baseline 12pm-3pm 3pm-6pm 12pm-6pm Actual as Percent of CPP Baseline 6/13/ , % 7/3/ ,568 1, , , % 7/5/ , % 7/6/ ,568 1, , , % 7/9/ ,568 1, , , % 8/1/ ,568 1, , , % 8/21/ , % 8/22/ , % 8/28/ , , , % 8/29/ , % 8/30/ , % 8/31/ , , % Average 17 1, , % 17 facilities participated in all 12 events this year 1.1 MW of actual average shed for the 12 CPP held events this summer Reduction represented 67% of the original estimates 16
17 PG&E 2007 Results DBP Events Actual Load Shed (kw) Actual as Number of Estimated DBP Baseline Percent of Date of DBP Event Participating Load Max 2 2pm-6pm DBP Sites Shed (kw) Hour Avg Baseline 8/30/ ,850 10, , % Average 11 10,850 10, , % 11 facilities participated in 8/30 test event MW of bids received by 3:30PM daybefore for the event MW provided load reductions for at least 2 hours (drawing upon the CPUCapproved 3/10 baseline method) The achieved reduction represented 98% of the bid amounts 17
18 PG&E Load Shape Impacts for July 3 rd CPP Event 7/3/ Whole Building Power (kw) 9:00 PM 12:00 AM 1:00 AM 2:00 AM 3:00 AM 4:00 AM 5:00 AM 6:00 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 10:00 PM 11:00 PM CPP Baseline CPP MA Baseline OAT Baseline
19 PG&E Load Shape Impacts for August 30 th CPP and DBP Events ALL SITES - 8/30/ Loads 3-10 Baseline 3-10 MA Baseline OAT Baseline Reductions represented nearly 12 MW! 19 Whole Building Power (kw) 12:00 AM 1:00 AM 2:00 AM 3:00 AM 4:00 AM 5:00 AM 6:00 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM 11:00 PM
20 40% 30% 20% 10% 0% -10% -20% 20 School-Inland Auto-DR Effectiveness Average Shed Retail-Inland Retail-Valley Retail-Coast Office-Inland Biotech-Coast Public-Inland Indus-Inland Auto CPP Non-Auto CPP Average CCP Peak Load Reduction 8% w/ Auto-DR -1% w/o Auto-DR
21 Next Steps for Auto-DR PG&E Technical assistance for current program participants to ensure continued functionality of automation systems Continue offering TI Incentives (up to $300/kW) offered to new participants who join the program Expand automation into other emerging DR program options Emphasis on distribution and feeder congestion management through Auto-DR SCE Expansion into automated Demand Bidding Program Continued emphasis on industrial DR adoption SDG&E Continue pursuit of third party implementation through Capacity Bidding program DRRC DR Automation Server Standards being developed by industry consortium including national standards groups 21
22 Thank You! 22
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