Automated Demand Response and Commissioning

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This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set ... continued below

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Piette, Mary Ann; Watson, David S.; Motegi, Naoya & Bourassa, Norman April 1, 2005.

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Description

This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

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  • National Conference on Building Commissioning,New York City, NY, May 4-6, 2005

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  • Report No.: LBNL--57384
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 887198
  • Archival Resource Key: ark:/67531/metadc876179

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  • April 1, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

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  • Sept. 29, 2016, 7:39 p.m.

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Piette, Mary Ann; Watson, David S.; Motegi, Naoya & Bourassa, Norman. Automated Demand Response and Commissioning, article, April 1, 2005; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc876179/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.