Ellis, Carl and Scott, James and Hazas, Michael and Krumm, John (2012) EarlyOff : using house cooling rates to save energy. In: BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings :. ACM, New York, pp. 39-41. ISBN 9781450311700Full text not available from this repository.
Home heating systems often have a significant thermal inertia, as homes stay warm after the heating is turned off for significant periods of time. We present the EarlyOff concept, whereby home heating can be predictively turned off in advance of occupants’ departure, using this inertia to keep the house warm while saving energy. We use a previously gathered data set of real-time heating, gas, and occupancy readings from five houses and conduct a data-driven analysis of potential energy savings. Using an “oracle” predicting actual departure events, we show an upper bound savings of 4–12% of the gas used over the whole study period by applying EarlyOff. Using a real predictor which makes use of historical occupancy probabilities, we show savings of 1–8% of gas use.
|Item Type:||Contribution in Book/Report/Proceedings|
|Subjects:||?? qa75 ??|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited On:||28 Sep 2012 09:57|
|Last Modified:||25 Mar 2017 02:17|
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