1. Overview of OpenADR May 4, 2011 Integrating Demand Response, Efficiency, Renewables and Smart Grid Sila Kiliccote Deputy, Demand Response Research Center Environmental Energy Technologies Division Lawrence Berkeley National Laboratory

2. Overview of the Presentation  Overview of the Research at Demand Response Research Center  Overview of Automated Demand Response and Open Automated Demand Response (OpenADR) specification  Results from Key Implementations and Pilots  Conclusion

3. DRRC’s Original Vision Statement - 2004 Efficiency and demand response fully integrated under a unified default tariff / incentive structure.  Demand Response, like Efficiency a condition of service.  All customers, all load participates. 1  Major appliances come “DR Ready” from the factory.  All buildings are “DR Enabled”. 2 Full automated system integration between your generator, distributor and customers. 3

4. Initial Research 2002 Initial Research 2002 Automated Demand Response Technical Strategies Case Studies Related Pricing and Behavior Related Pricing and Behavior Expanded Research 2003- 2006 Commercialization 2006-2009 Commercialization 2006-2009 Seattle City Light 2008-2009 Seattle City Light 2008-2009 Initiate Standards Donate to OASIS, UCAIug 2007 Initiate Standards Donate to OASIS, UCAIug 2007 NiST 2009 CAISO Demo Lab Participating Load Pilots CAISO Demo Lab Participating Load Pilots Case Studies Industrial, Ag, Water Case Studies Industrial, Ag, Water Open Source DR Automation 2009 Small C/I AutoDR SCE 2009 PCT Radio Coverage 2008 Pre-Cooling 2003-2009 Pre-Cooling 2003-2009 Dimmable Lighting 2006-2009 Dimmable Lighting 2006-2009 DR at UC Campus 2008-2009 DR at UC Campus 2008-2009 Refrigerated Warehouses, Wastewater Industrial Controls Bell Carter Green Energy Mgmt. 2008-2010 Bell Carter Green Energy Mgmt. 2008-2010 DR for Data Centers DR for Data Centers Behavior TOU 2007 CPP Small C/I Behavior TOU 2007 CPP Small C/I DR Decision, Information, Control 2008-2010 Open Source DR Automation Server 2009 AutoDR Price Mapping Demo 2009 AutoDR Dynamic Pricing 2009 Integrated Audits Integrated Audits Wireless Protocol OpenADR 2009 ZigBee Harmonization 2009 ZigBee Harmonization 2009 DR Pricing / Rates Scoping 2006 DR Rates 2008 DR Rates 2008 DRRC Research Portfolio DR and Ancillary Services Regulation Pilot DR and Ancillary Services Regulation Pilot Renewables and DR OpenADR Alliance DR Quick Assessment Tool http://drrc.lbl.gov

5. Emphasize Open Data Models for DR Price and Reliability Signals DRRC Research Focus on OpenADR Automation Open Data Models Price and Reliability Signals  Allows DR to be a dispatchable resource  Improves DR reliability, predictability, and value  Increases customer participation and reduces response cost  Simplify and reduce cost of DR  Creates interoperability among customer systems  Creates interoperability between wholesale and retail systems  Allows customers to choose level of response and how to enable DR strategies  Provides ability to embed automation in customer control systems.

6. 6 Commercial and Industrial Customers Alt Communication Customer Group Residential – Small Commercial Customers Customer Auto-DR System Architecture – Possible Integration with Residential DRRC Research Focus on OpenADR Customer Group

7. 7 Data Models OpenADR Smart Energy Profile 1.0 Smart Energy Profile 2.0 CIM 61850 Physical Communications WiFi 802.11x Ethernet 802.3 ZigBee / Zwave 802.15.4 Home Plug Powerline Control Strategies Air Conditioner Control Lighting – dimming Refrigerator – delay defrost Building Controls Storage Utility Signals Customer Many Methods for Integrating Pricing, Communications and Control to Automate Demand Response ISO Signals DRRC Research Focus on OpenADR OpenADR included among the original NIST 16 Smart Grid Standards.

8. TimePrice 0:000.06$ 1:000.06$ 2:000.06$ 3:000.06$ 4:000.06$ 5:000.06$ 6:000.06$ 7:000.08$ 8:000.08$ 9:000.08$ 10:000.10$ 11:000.10$ 12:000.10$ 13:000.12$ 14:000.12$ 15:000.12$ 16:000.12$ 17:000.22$ 18:000.22$ 19:000.14$ 20:000.14$ 21:000.12$ 22:000.10$ 23:000.10$ Price TierPrice Low$0.00 - $0.06 Medium$0.06 - $0.11 High$0.11 - $0.18 Critical> $0.18 Price Schedule to Price Tier Mapping StartEndPrice Tier 0:006:59Low 7:0012:59Medium 13:0016:59High 17:0018:59Critical 19:0021:59High 22:0023:59Medium Utility Rate Schedule TOU with CPP Mapping Prices to Tiers Example of Price Mapping to Hourly Prices and Tiers DRRC Research – Dynamic Price Mapping

9. 9 Rationalizing OpenADR to Other Industry Standards  OpenADR is the only existing open data model to bridge communications between utility and control systems in commercial and industrial facilities.  OpenADR “Price Mapping Demonstration Project” will extend DR capability into small commercial and residential. DRRC Research – In Process

10. OpenADR Results - Price Response DRRC Research – Results in California

11. DRRC Research – Around the World

12. Utilities, Aggregators, and ISOs Research Organizations Testing, Certification, & Alliances Technology Integrators Control and Technology Industrial Commercial & Industrial Commercial Small Commercial and Residential

13. Winter and Summer DR in Seattle DRRC Research - Results

14. HE 15:00 HE 16:00 HE 17:00HE 18:00 0.002 / 0.00620/7280/8640/5130/49 Forecasted vs. Actual Average Hourly Shed (kW) Forecasted vs Actual Ramp Time (MW/ min) DRRC Research - Results OpenADR Results – CAISO Participating Load Response Load as Pseudo Generation

15. DRRC Research Lessons Learned Automation Open Data Models Price and Reliability Signals  Allows DR to be a dispatchable resource (wholesale and retail DR).  Improves DR reliability, predictability, and value (summer / winter ).  Increases customer participation and reduces response cost (transparent retail to wholesale DR conversion).  Simplify and reduce cost of DR (embedded clients).  Creates interoperability among customer systems.  Create interoperability between wholesale and retail systems. Allows customers to choose level of response and how to enable DR strategies (increases DR response).  Provides ability to embed automation in customer control systems (increases DR reliability, customer participation).