Estimating the savings potential of occupancy-based heating strategies

Energy Informatics

¹  Vincent Becker¹  Vlad C. Coroamă¹  Wilhelm Kleiminger¹ 

[1] Department of Computer Science, ETH Zurich, Zurich, Switzerland

关键词: Smart heating;    Occupancy detection;    Household heating simulation;    Energy savings;    Smart energy;   

DOI  :  10.1186/s42162-018-0022-6

学科分类：计算机网络和通讯

来源: Springer

【 摘 要 】

Because space heating causes a large fraction of energy consumed in households, occupancy-based heating systems have become more and more popular in recent years. However, there is still no practical method to estimate the potential energy savings before installing such a system. While substantial work has been done on occupancy detection, previous work does not address a combination with heating simulation in order to provide an easily applicable method to estimate this savings potential. In this paper we present such a combination of an occupancy detection algorithm based on smart electricity meter data and a building heating simulation, which only requires publicly available weather data and some relevant building characteristics. We apply our method to a dataset containing such data for several thousand households and show that when taking occupancy into account, a household can save over 9% heating energy on average, while certain groups, such as employed single-person households, can even save 14% on average. Using our approach, households with high potential for energy savings can be quickly identified and their inhabitants could be more easily convinced to adopt an occupancy-based heating strategy.

【 授权许可】

CC BY