Quantifying Changes in Building Electricity Use, With Application to Demand Response

We present methods for analyzing commercial and industrial facility 15-min-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to "ask the right questio...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2011-09, Vol.2 (3), p.507-518
Main Authors: Mathieu, J. L., Price, P. N., Kiliccote, S., Piette, M. A.
Format: Article
Language:English
Subjects:
Buildings
Data models
Data visualization
demand forecasting
demand response
Electricity
energy efficiency
energy management
load management
Load modeling
Meteorology
Predictive models
regression analysis
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Summary:We present methods for analyzing commercial and industrial facility 15-min-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to "ask the right questions" to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2011.2145010