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Actual and theoretical gas consumption in Dutch dwellings: What causes the differences?

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  • Majcen, Daša
  • Itard, Laure
  • Visscher, Henk

Abstract

Energy labels in buildings are awarded based on theoretical gas and electricity consumption based on dwelling's physical characteristics. Prior to this research, a large-scale study was conducted in The Netherlands comparing theoretical energy use with data on actual energy use revealing substantial discrepancies (Majcen et al., 2013). This study uses identical energy label data, supplemented with additional data sources in order to reveal how different parameters influence theoretical and actual consumptions gas and electricity. Analysis is conducted through descriptive statistics and regression analysis. Regression analysis explained far less of the variation in the actual consumption than in the theoretical and has shown that variables such as floor area, ownership type, salary and the value of the house, which predicted a high degree of change in actual gas consumption, were insignificant (ownership, salary, value) or had a minor impact on theoretical consumption (floor area). Since some possibly fundamental variables were unavailable for regression analysis, we also conducted a sensitivity study of theoretical gas consumption. It showed that average indoor temperature, ventilation rate and accuracy of U-value have a large influence on the theoretical gas consumption; whereas the number of occupants and internal heat load have a rather limited impact.

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  • Majcen, Daša & Itard, Laure & Visscher, Henk, 2013. "Actual and theoretical gas consumption in Dutch dwellings: What causes the differences?," Energy Policy, Elsevier, vol. 61(C), pages 460-471.
  • Handle: RePEc:eee:enepol:v:61:y:2013:i:c:p:460-471
    DOI: 10.1016/j.enpol.2013.06.018
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    Cited by:

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    7. Filippidou, Faidra & Nieboer, Nico & Visscher, Henk, 2017. "Are we moving fast enough? The energy renovation rate of the Dutch non-profit housing using the national energy labelling database," Energy Policy, Elsevier, vol. 109(C), pages 488-498.
    8. Yang, Xining & Hu, Mingming & Heeren, Niko & Zhang, Chunbo & Verhagen, Teun & Tukker, Arnold & Steubing, Bernhard, 2020. "A combined GIS-archetype approach to model residential space heating energy: A case study for the Netherlands including validation," Applied Energy, Elsevier, vol. 280(C).
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    10. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
    11. Majcen, Daša & Itard, Laure & Visscher, Henk, 2016. "Actual heating energy savings in thermally renovated Dutch dwellings," Energy Policy, Elsevier, vol. 97(C), pages 82-92.
    12. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2021. "The effect of group decisions in heat transitions: An agent-based approach," Energy Policy, Elsevier, vol. 156(C).
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