Field Test Results of Automated Demand Response in a Large Office Building

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Demand response (DR) is an emerging research field and an effective tool that improves grid reliability and prevents the price of electricity from rising, especially in deregulated markets. This paper introduces the definition of DR and Automated Demand Response (Auto-DR). It describes the Auto-DR technology utilized at a commercial building in the summer of 2006 and the methodologies to evaluate associated demand savings. On the basis of field tests in a large office building, Auto-DR is proven to be a reliable and credible resource that ensures a stable and economical operation of the power grid.

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Han, Junqiao; Piette, Mary Ann & Kiliccote, Sila October 20, 2008.

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Description

Demand response (DR) is an emerging research field and an effective tool that improves grid reliability and prevents the price of electricity from rising, especially in deregulated markets. This paper introduces the definition of DR and Automated Demand Response (Auto-DR). It describes the Auto-DR technology utilized at a commercial building in the summer of 2006 and the methodologies to evaluate associated demand savings. On the basis of field tests in a large office building, Auto-DR is proven to be a reliable and credible resource that ensures a stable and economical operation of the power grid.

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  • 8th International Conference on EcoBalance, Tokyo, Japan, December 10-12, 2008

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  • Report No.: LBNL-1131E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 943970
  • Archival Resource Key: ark:/67531/metadc895691

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • October 20, 2008

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Jan. 4, 2017, 5:50 p.m.

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Han, Junqiao; Piette, Mary Ann & Kiliccote, Sila. Field Test Results of Automated Demand Response in a Large Office Building, article, October 20, 2008; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc895691/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.