Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
3 files | 14.74 MB
Add to list
  1. Search results
  2. Large-scale statistical analysis and ...

Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders

Matthias Van Hove (UGent) , Mieke Deurinck, Wim Lameire, Jelle Laverge (UGent) , Arnold Janssens (UGent) and Marc Delghust (UGent)
(2023) BUILDING RESEARCH AND INFORMATION. 51(2). p.203-222
Author
Organization
Project
Abstract
Large-scale statistical studies on the gap between the real and regulatory energy use in residential buildings in Europe have shown that the regulatory calculation overestimated the real energy use, inflated true energy savings and undermined national energy policy making. Using data from 122,680 Flemish existing single-family houses, this research builds further on existing studies by contributing results for Flanders. The study also examines to what extent available aggregated variables explain the real annual total building energy use using statistical linear models and addresses the problem of multicollinearity and the importance of bootstrapped confidence intervals for model quality control. The overestimation of the real total energy use (and potential energy savings) by the Flemish regulatory method is exceedingly large compared to studies from other EU countries. The Flemish labels prove very poor indicators of the real energy use. Statistical linear models explain up to 46.6% of all variability and indicate that a significant extent of multicollinearity had to be corrected. Half of the variability has been left unexplained and has to be attributed to variables that were not available and the fact that the data were insufficiently accurate. Future analysis will explore whether more complex models identify more evidence.
Keywords
Existing single-family houses, energy performance registry, real annual energy use, true energy savings, data-driven statistical modelling, multicollinearity, SPACE HEATING EXPENDITURES, PERFORMANCE EVALUATION, CONSUMPTION, DWELLINGS, GAP, DETERMINANTS, UNCERTAINTY, EFFICIENCY

Downloads

  • Download
    Supplementary material.docx
    • supplementary material
    • |
    • open access
    • |
    • Word
    • |
    • 5.34 MB
  • Download
    (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 3.50 MB
  • Download
    Manuscript Accepted.pdf
    • full text (Accepted manuscript)
    • |
    • open access
    • |
    • PDF
    • |
    • 5.90 MB

Citation

Please use this url to cite or link to this publication:

MLA
Van Hove, Matthias, et al. “Large-Scale Statistical Analysis and Modelling of Real and Regulatory Total Energy Use in Existing Single-Family Houses in Flanders.” BUILDING RESEARCH AND INFORMATION, vol. 51, no. 2, 2023, pp. 203–22, doi:10.1080/09613218.2022.2113023.
APA
Van Hove, M., Deurinck, M., Lameire, W., Laverge, J., Janssens, A., & Delghust, M. (2023). Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders. BUILDING RESEARCH AND INFORMATION, 51(2), 203–222. https://doi.org/10.1080/09613218.2022.2113023
Chicago author-date
Van Hove, Matthias, Mieke Deurinck, Wim Lameire, Jelle Laverge, Arnold Janssens, and Marc Delghust. 2023. “Large-Scale Statistical Analysis and Modelling of Real and Regulatory Total Energy Use in Existing Single-Family Houses in Flanders.” BUILDING RESEARCH AND INFORMATION 51 (2): 203–22. https://doi.org/10.1080/09613218.2022.2113023.
Chicago author-date (all authors)
Van Hove, Matthias, Mieke Deurinck, Wim Lameire, Jelle Laverge, Arnold Janssens, and Marc Delghust. 2023. “Large-Scale Statistical Analysis and Modelling of Real and Regulatory Total Energy Use in Existing Single-Family Houses in Flanders.” BUILDING RESEARCH AND INFORMATION 51 (2): 203–222. doi:10.1080/09613218.2022.2113023.
Vancouver
1.
Van Hove M, Deurinck M, Lameire W, Laverge J, Janssens A, Delghust M. Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders. BUILDING RESEARCH AND INFORMATION. 2023;51(2):203–22.
IEEE
[1]
M. Van Hove, M. Deurinck, W. Lameire, J. Laverge, A. Janssens, and M. Delghust, “Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders,” BUILDING RESEARCH AND INFORMATION, vol. 51, no. 2, pp. 203–222, 2023.
@article{8764222,
  abstract     = {{Large-scale statistical studies on the gap between the real and regulatory energy use in residential buildings in Europe have shown that the regulatory calculation overestimated the real energy use, inflated true energy savings and undermined national energy policy making. Using data from 122,680 Flemish existing single-family houses, this research builds further on existing studies by contributing results for Flanders. The study also examines to what extent available aggregated variables explain the real annual total building energy use using statistical linear models and addresses the problem of multicollinearity and the importance of bootstrapped confidence intervals for model quality control. The overestimation of the real total energy use (and potential energy savings) by the Flemish regulatory method is exceedingly large compared to studies from other EU countries. The Flemish labels prove very poor indicators of the real energy use. Statistical linear models explain up to 46.6% of all variability and indicate that a significant extent of multicollinearity had to be corrected. Half of the variability has been left unexplained and has to be attributed to variables that were not available and the fact that the data were insufficiently accurate. Future analysis will explore whether more complex models identify more evidence.}},
  author       = {{Van Hove, Matthias and Deurinck, Mieke and Lameire, Wim and Laverge, Jelle and Janssens, Arnold and Delghust, Marc}},
  issn         = {{0961-3218}},
  journal      = {{BUILDING RESEARCH AND INFORMATION}},
  keywords     = {{Existing single-family houses,energy performance registry,real annual energy use,true energy savings,data-driven statistical modelling,multicollinearity,SPACE HEATING EXPENDITURES,PERFORMANCE EVALUATION,CONSUMPTION,DWELLINGS,GAP,DETERMINANTS,UNCERTAINTY,EFFICIENCY}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{203--222}},
  title        = {{Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders}},
  url          = {{http://doi.org/10.1080/09613218.2022.2113023}},
  volume       = {{51}},
  year         = {{2023}},
}
Altmetric
View in Altmetric
Web of Science
Times cited: