Coroamă, Vlad C.
- Journal Article
Rights / licenseCreative Commons Attribution 4.0 International
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. Show more
Book titleProceedings of the 7th DACH+ Conference on Energy Informatics
Journal / seriesEnergy Informatics
Pages / Article No.
SubjectSmart heating; Occupancy detection; Household heating simulation; Energy savings; Smart energy
Organisational unit03528 - Mattern, Friedemann / Mattern, Friedemann
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