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Information Technology for Building Operations, Energy Efficiency and Demand Response June 9, 2009 Mary Ann Piette Lawrence Berkeley National Laboratory.

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Presentation on theme: "Information Technology for Building Operations, Energy Efficiency and Demand Response June 9, 2009 Mary Ann Piette Lawrence Berkeley National Laboratory."— Presentation transcript:

1 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/

2 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

3 Multi-Objective Optimization Energy -On/off mode/control -Weather/solar/wind -Occupancy/comfort/schedule -Equipment loads - Continuous diagnostics Operating Costs - Rate $/kWh, TOU, demand charges - Dynamic – critical, variable peak, RTP - DR program – shed frequency, duration - Maintenance and operations Emissions -Real-time CO 2 /kWh (time of day) -Grid or on-site power -Energy source Demand Response/Grid - Loads to limit, shift, shed - Service level control capability - Service level requirements Duration, frequency of DR participation - Spinning reserve participation Energy Operating CostsEmissions Demand Response (kWh)($)(CO 2 )($/kW) Conventional Variable Air Volume Ice/Chilled Water Storage VAV with Pre-Cooling

4 Control System Testing Using EnergyPlus: Virtual Controls Testbed Virtual Building Real Control System AlgorithmsHardware A/D D/A + SPARK + EnergyPlus 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

5 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

6 System Integration and Value Heating Cooling Lighting Peak Cooling Load Chiller Size Lighting Design Strategy Energy, Peak Electric Demand, Load Shape Central Power Generation $ $ $ $ $ $ Initial Cost Annual Cost Office Eq. Onsite Power Generation $


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