We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas & Electric’s Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.
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ASME 2010 4th International Conference on Energy Sustainability
May 17–22, 2010
Phoenix, Arizona, USA
Conference Sponsors:
- Advanced Energy Systems Division and Solar Energy Division
ISBN:
978-0-7918-4394-9
PROCEEDINGS PAPER
Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility
Johanna L. Mathieu,
Johanna L. Mathieu
University of California, Berkeley, Berkeley, CA
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Ashok J. Gadgil,
Ashok J. Gadgil
Lawrence Berkeley National Laboratory, Berkeley, CA
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Duncan S. Callaway,
Duncan S. Callaway
University of California, Berkeley, Berkeley, CA
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Phillip N. Price,
Phillip N. Price
Lawrence Berkeley National Laboratory, Berkeley, CA
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Sila Kiliccote
Sila Kiliccote
Lawrence Berkeley National Laboratory, Berkeley, CA
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Johanna L. Mathieu
University of California, Berkeley, Berkeley, CA
Ashok J. Gadgil
Lawrence Berkeley National Laboratory, Berkeley, CA
Duncan S. Callaway
University of California, Berkeley, Berkeley, CA
Phillip N. Price
Lawrence Berkeley National Laboratory, Berkeley, CA
Sila Kiliccote
Lawrence Berkeley National Laboratory, Berkeley, CA
Paper No:
ES2010-90266, pp. 1019-1028; 10 pages
Published Online:
December 22, 2010
Citation
Mathieu, JL, Gadgil, AJ, Callaway, DS, Price, PN, & Kiliccote, S. "Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility." Proceedings of the ASME 2010 4th International Conference on Energy Sustainability. ASME 2010 4th International Conference on Energy Sustainability, Volume 1. Phoenix, Arizona, USA. May 17–22, 2010. pp. 1019-1028. ASME. https://doi.org/10.1115/ES2010-90266
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