Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data

Staake, T (通讯作者),Univ Bamberg, Dept Informat Syst & Appl Comp Sci, Weberei 5, D-96047 Bamberg, Germany.;Staake, T (通讯作者),Swiss Fed Inst Technol, Dept Management Technol & Econ, Weinbergstr 56-58, CH-8092 Zurich, Switzerland.
2022-10
Heat pumps play an important role in the energy transition. They can extract renewable energy from the air or ground and increasingly replace fossil heating systems in buildings. In operation, however, heat pumps often consume more electricity than necessary due to incorrect settings and installation deficiencies. Although many setting and installation issues are easy to fix, problems often go unnoticed, and the saving potential from quick fixes remains unclear. In a study with 297 Swiss households (41 treatment, 256 control) running for four years, we investigated an energy efficiency campaign in which the treatment group received a professional heat pump inspection and user training. We found considerable heterogeneity with respect to the savings achieved. We derived two criteria based on smart meter data that enable utilities to identify relevant households and thus boost the impact of such efficiency campaigns: For example, pre-selecting half of the households based on available information results in average savings of 1,805 kWh (15.2%) per year and household in the high-potential group compared to no savings in the low-potential group. Thus, heat pump inspections among pre-selected households can lead to large, cost-effective electricity savings, and we show that common smart meter data makes such pre-selection feasible.
ENERGY POLICY
卷号:169
ISSN:0301-4215|收录类别:SCIE
语种
英语
来源机构
Otto Friedrich University Bamberg; Swiss Federal Institutes of Technology Domain; ETH Zurich
资助信息
Acknowledgements This work was supported by the Swiss Federal Office of Energy [grant number SI/501521-01] ; and the German Federal Ministry for Economic Affairs and Energy [grant number 0350010] . The authors would like to thank Lorenz Deppeler, Marina Gonzalez Vaya, Hardy Schro ? der, and Michael Peter from the utility ?Elek- trizita ? tswerke des Kantons Z?rich (EKZ) for providing heat pump in- spection and electricity consumption data and as well as fruitful discussions and insights on typical heat pump problems, Andre ? Rast from the utility ?Centralschweizerische Kraftwerke AG? for providing electricity consumption data, and Peter Molnar from the ETH Zurich for providing weather data. Finally, the authors want to thank Kathrin Schmitt and Leonard Michels for their valuable comments on the early versions of this manuscript.
被引频次(WOS)
0
被引频次(其他)
0
180天使用计数
3
2013以来使用计数
3
EISSN
1873-6777
出版年
2022-10
DOI
10.1016/j.enpol.2022.113156
学科领域
循证经济学
关键词
Heat pump Energy consulting Energy efficiency Smart meter data Data analytics
资助机构
Swiss Federal Office of Energy German Federal Ministry for Economic Affairs and Energy
WOS学科分类
Economics Environmental Sciences Environmental Studies