Estimating the savings potential of occupancy-based heating strategies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10-10

AUTHORS

Vincent Becker, Wilhelm Kleiminger, Vlad C. Coroamă, Friedemann Mattern

ABSTRACT

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. More... »

PAGES

52

References to SciGraph publications

  • 2017-08-30. Exploring zero-training algorithms for occupancy detection based on smart meter measurements in SICS SOFTWARE-INTENSIVE CYBER-PHYSICAL SYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s42162-018-0022-6

    DOI

    http://dx.doi.org/10.1186/s42162-018-0022-6

    DIMENSIONS

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