Research Papers

Design and Operation of an Open, Interoperable Automated Demand Response Infrastructure for Commercial Buildings

[+] Author and Article Information
Mary Ann Piette, Sila Kiliccote

 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mail Stop 90-3111, Berkeley, CA 94720

Girish Ghatikar

 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mail Stop 90-4000, Berkeley, CA 94720

David Watson

LBNL and Advisory Board, Akuacom, 25 Bellam Boulevard, Suite 215, San Rafael, CA 94901

Ed Koch

  Akuacom, 25 Bellam Boulevard, Suite 215, San Rafael, CA 94901

Dan Hennage

Product Development, Akuacom, 25 Bellam Boulevard, Suite 215, San Rafael, CA 94901

J. Comput. Inf. Sci. Eng 9(2), 021004 (May 28, 2009) (9 pages) doi:10.1115/1.3130788 History: Received January 18, 2008; Revised July 01, 2008; Published May 28, 2009

This paper describes the concept for and lessons from the development and field-testing of an open, interoperable communications infrastructure to support automated demand response (auto-DR). Automating DR allows greater levels of participation, improved reliability, and repeatability of the DR in participating facilities. This paper also presents the technical and architectural issues associated with auto-DR and description of the demand response automation server (DRAS), the client/server architecture-based middleware used to automate the interactions between the utilities or any DR serving entity and their customers for DR programs. Use case diagrams are presented to show the role of the DRAS between utility/ISO and the clients at the facilities.

Copyright © 2009 by American Society of Mechanical Engineers
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Figure 1

Geographic location of auto-DR facilities, automation clients, and server

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Figure 2

Critical peak price tariff compared with TOU

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Figure 3

Example of load shape change with auto-DR at Martinez, CA Office Building Electricity Use with and without auto-DR: June 21, 2006 (outdoor air maximum temperature: 39°C)

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Figure 4

Automated demand response general features

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Figure 5

Event notification use case

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Figure 6

Automated bidding use case

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Figure 7

Automated DR events’ architecture



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