A limited-data model of building energy consumption

  • Authors:
  • Andrew Rice;Simon Hay;Dan Ryder-Cook

  • Affiliations:
  • University of Cambridge;University of Cambridge;University of Cambridge

  • Venue:
  • Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
  • Year:
  • 2010

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Abstract

We present a model targeted at practical, wide-scale deployment which produces an ongoing breakdown of building energy consumption. We argue that wide-scale deployment is practical due to its reliance only on commonly available sensor information and crowd-sourced inventory data. The results for our own building over the previous 10 months show many of the trends seen in the building's true, me-tered energy consumption and we find our model predicts long term averages within 10% of the true value in some scenarios. We further use our model to estimate the potential impact of some energy saving scenarios.