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Remote energy auditing: Energy efficiency through smart thermostat data and control

机译:远程能源审核:通过智能恒温器数据和控制实现能源效率

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We describe the development of "remote energy audit" techniques using data from a pilot study in 500 dwellings in Ontario, Canada. This pilot study provided a unique combination of data sets: smart thermostat, occupancy events, and smart meter data, combined with basic information on household characteristics and weather data. With knowledge of building physics and occupant energy use behaviours, we deployed a variety of data analytic techniques to derive insights into household energy use characteristics. These included partial end-use disaggregation of electricity, opportunities for energy savings via dynamic thermostat setback, and an estimate of the relative thermal efficiency of the house structure. The results on these metrics emphasize the heterogeneous nature of energy performance even across households in the same region. Such individualized remote audit information may be a relatively inexpensive way for utilities to target energy efficiency programs and messaging towards households more likely to yield benefits.
机译:我们使用来自加拿大安大略省500所住宅的试点研究数据来描述“远程能源审核”技术的发展。这项初步研究提供了数据集的独特组合:智能恒温器,占用事件和智能电表数据,以及有关家庭特征和天气数据的基本信息。凭借对建筑物理和居住者能源使用行为的了解,我们部署了各种数据分析技术来得出有关家庭能源利用特性的见解。其中包括电力的部分最终用途分解,通过动态恒温器挫折节省能源的机会以及对房屋结构的相对热效率的估算。这些指标的结果强调了能源绩效的异质性,即使是同一地区的家庭也是如此。这样的个性化远程审核信息可能是公用事业公司针对能源效率计划和向更可能产生收益的家庭发送消息的相对廉价的方式。

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