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Demand Response Research Center Research Overview. Load Management Informational and Rulemaking Proceedings March 3, 2008 Mary Ann Piette Lawrence Berkeley National Laboratory Roger Levy Levy Associates. Presentation Outline. Automating Demand Response Behavior Demand Response Value
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Demand Response Research CenterResearch Overview Load Management Informational and Rulemaking Proceedings March 3, 2008 Mary Ann Piette Lawrence Berkeley National Laboratory Roger Levy Levy Associates
Presentation Outline • Automating Demand Response • Behavior • Demand Response Value • Dynamic Tariffs
Automation Goals and Definition Research Goals • Cost - Develop low-cost, automation infrastructure to improve DR capability in California • Technology - Evaluate “readiness” of buildings to receive signals • Capability - Evaluate capability of control strategies for current and future buildings AutoDR Definition - Fully automated signal for end-use control • Signaling – Continuous, secure, reliable, 2-way communication with listen and acknowledge signals • Industry Standards - Open, interoperable standard control and communications to integrate with both common EMCS and other end-use devices that can receive a relay or similar signals (such XML) • Timing of Notification - Day ahead and day of signals are provided to facilitate a diverse set of end-use strategies
DR Automation Server and Client DRAS Clients – 1. Software only (Smart) 2. Software & Hardware (Simple)
Status of Automated DR Deployment DR Programs under AutoDR CPP – Critical Peak Pricing DBP – Demand Bidding CBP – Capacity Bidding
Automation by Sector Internet
Common Cooling Load DR StrategiesResults from 2008 PG&E Auto-DR
Next Steps – Auto-DR and Related Research • Complete final draft of Open DR Automation Server and client specification (May 2008) • Facilitate implementation of open standards in state and national DR efforts • Explore links to Building Codes (Title 24) • Ensure compliance of Global Temperature Adjustment in 2008 Building Code (Title 24) • Explore continuous energy minimization, energy management systems, and building codes
Behavior Research • DR is a behaviorally driven system • Behavior research explores “why and the how” not “who and the what” • Current projects – residential and small commercial DR rates and technologies • Field tests in summer 2008