Title :
Quantifying Changes in Building Electricity Use, With Application to Demand Response
Author :
Mathieu, Johanna L. ; Price, Phillip N. ; Kiliccote, Sila ; Piette, Mary Ann
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
Abstract :
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.
Keywords :
building management systems; energy conservation; load management; piecewise linear techniques; power consumption; regression analysis; building electricity use; continuous outdoor air temperature dependence; demand response behavior; electricity consumption; electricity waste elimination; energy efficiency; interval electric load data; peak load management; piecewise linear parameter; regression-based electricity load model; time 15 min; time-of-week indicator variable; Buildings; Data models; Electricity; Load modeling; Meteorology; Predictive models; Shape; Data visualization; demand forecasting; demand response; energy efficiency; energy management; load management; regression analysis;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2011.2145010