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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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    1. Majcen, D. & Itard, L.C.M. & Visscher, H., 2013. "Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications," Energy Policy, Elsevier, vol. 54(C), pages 125-136.
    2. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    3. Milne, Geoffrey & Boardman, Brenda, 2000. "Making cold homes warmer: the effect of energy efficiency improvements in low-income homes A report to the Energy Action Grants Agency Charitable Trust," Energy Policy, Elsevier, vol. 28(6-7), pages 411-424, June.
    4. Haas, Reinhard & Biermayr, Peter, 2000. "The rebound effect for space heating Empirical evidence from Austria," Energy Policy, Elsevier, vol. 28(6-7), pages 403-410, June.
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