Andrew Rice
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.
- D. Crawley et al. EnergyPlus: creating a new-generation building energy simulation program. Energy and Buildings, 33(4):319--331, 2001.Google Scholar
Cross Ref
- D. Crawley et al. Contrasting the capabilities of building energy performance simulation programs. Building and Environment, 43(4):661--673, 2008.Google ScholarCross Ref
- S. Hay and A. C. Rice. The case for apportionment. In Proc. BuildSys '09. Google ScholarDigital Library
- A. Hopper and A. C. Rice. Computing for the future of the planet. Phil. Trans. R. Soc. A, 366(1881):3685--3697, 2008.Google ScholarCross Ref
- D. J. C. MacKay. Sustainable energy - without the hot air. UIT, Cambridge, 2008.Google Scholar
- A. C. Rice and O. J. Woodman. Crowd-sourcing world models with OpenRoomMap. In Proc. PerCom '10.Google Scholar
Index Terms
- A limited-data model of building energy consumption
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