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Information Technology for Building Operations, Energy Efficiency and Demand Response. June 9, 2009 Mary Ann Piette Lawrence Berkeley National Laboratory Demand Response Research Center http://drrc.lbl.gov/. Open Automated Demand Response Communications. OpenADR Development Goals
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Information Technology for Building Operations, Energy Efficiency and Demand Response June 9, 2009 Mary Ann Piette Lawrence Berkeley National Laboratory Demand Response Research Center http://drrc.lbl.gov/
Open Automated Demand Response Communications OpenADR Development 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 OpenADR Description • Signaling - Continuous, secure, reliable, 2-way communication with listen and acknowledge signals • Industry Standards - Open, interoperable standard 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
Multi-Objective Optimization Energy • On/off mode/control • Weather/solar/wind • Occupancy/comfort/schedule • Equipment loads • Continuous diagnostics Operating Costs • Rate $/kWh, TOU, demand charges • Dynamic – critical, variable peak, RTP • DR program – shed frequency, duration • Maintenance and operations Emissions • Real-time CO2/kWh (time of day) • Grid or on-site power • Energy source Demand Response/Grid • Loads to limit, shift, shed • Service level control capability • Service level requirements Duration, frequency of DR participation • Spinning reserve participation
Control System Testing Using EnergyPlus:Virtual Controls Testbed SPARK + EnergyPlus Virtual Building Real Control System A/D Hardware Algorithms + D/A EnergyPlus & SPARK • Control system tested using design simulation: • Real-time EnergyPlus with hardware interface • Control hardware from the building • Control program as implemented by controls contractor • Pre-commissioning of controls before installation allowed programming problems to be identified and fixed before occupancy • Simulation can provide a quantitative link between design and operations
Building Systems Integration Opportunities • Underlying building information model • Performance metrics and benchmarks • Smart integrated design • Efficient technologies • Intelligent, adaptive controls for occupant and facility manager • Smart, grid-responsive component and systems
System Integration and Value Office Eq. $ Heating $ Peak Chiller Cooling Size Load Onsite Power Generation Cooling Energy, Peak Lighting Lighting Electric Central Power Generation Design Demand, Strategy Load Shape $ $ $ Initial Cost Annual Cost $ $