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Explaining the energy performance gap in buildings with a latent profile analysis

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  • Charlier, Dorothée

Abstract

The aim of this research is to identify energy consumption profiles that explain the difference between actual and theoretical energy consumption (the energy performance gap) in the residential sector using latent profile analysis (LPA). The resulting profiles inform behavioral and socio-demographic differences in consumption patterns among households and help explain inconsistencies in prior research on the energy performance gap. This research demonstrates that under-consumption of energy compared with the theoretical measure is partially explained by behavior related to poverty and deprivation. To address this, preventive measures should be put in place that focus on renovation or social housing to enable the poorest households to heat their dwellings adequately. Particular attention could also be paid to households that consume the most to avoid bias in energy forecasting models.

Suggested Citation

  • Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:enepol:v:156:y:2021:i:c:s0301421521003505
    DOI: 10.1016/j.enpol.2021.112480
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    Cited by:

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    3. Badr Eddine Lebrouhi & Éric Schall & Bilal Lamrani & Yassine Chaibi & Tarik Kousksou, 2022. "Energy Transition in France," Post-Print hal-03716839, HAL.
    4. Chaudhuri, Kausik & Huaccha, Gissell, 2023. "Who bears the energy cost? Local income deprivation and the household energy efficiency gap," Energy Economics, Elsevier, vol. 127(PA).
    5. Xia Wang & Jiachen Yuan & Kairui You & Xianrui Ma & Zhaoji Li, 2023. "Using Real Building Energy Use Data to Explain the Energy Performance Gap of Energy-Efficient Residential Buildings: A Case Study from the Hot Summer and Cold Winter Zone in China," Sustainability, MDPI, vol. 15(2), pages 1-22, January.

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    More about this item

    Keywords

    Residential; Energy performance gap; Latent profile analysis; Deprivation; Poverty;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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