• DocumentCode
    1524586
  • 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
  • Volume
    2
  • Issue
    3
  • fYear
    2011
  • Firstpage
    507
  • Lastpage
    518
  • 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;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2011.2145010
  • Filename
    5772947