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The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?

Author

Listed:
  • Ardeshir Mahdavi

    (Department of Building Physics and Building Ecology, TU Wien, 1040 Vienna, Austria)

  • Christiane Berger

    (Department of Building Physics and Building Ecology, TU Wien, 1040 Vienna, Austria)

  • Hadeer Amin

    (Department of Building Physics and Building Ecology, TU Wien, 1040 Vienna, Austria)

  • Eleni Ampatzi

    (Welsh School of Architecture, Cardiff University, Bute Building, King Edward VII Ave., Cardiff CF10 3NB, UK)

  • Rune Korsholm Andersen

    (Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Elie Azar

    (Department of Industrial and Systems Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates)

  • Verena M. Barthelmes

    (Thermal Engineering for the Built Environment Laboratory (TEBEL), École Polytechnique Fédérale de Lausanne (EPFL), Passage du Cardinal 13B, 1700 Fribourg, Switzerland)

  • Matteo Favero

    (Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

  • Jakob Hahn

    (Research Institute CENERGIE—Center for Energy Efficient Buildings and Districts, Department 05: Building Services Engineering, Munich University of Applied Sciences, Lothstr. 34, 80335 Munich, Germany)

  • Dolaana Khovalyg

    (Thermal Engineering for the Built Environment Laboratory (TEBEL), École Polytechnique Fédérale de Lausanne (EPFL), Passage du Cardinal 13B, 1700 Fribourg, Switzerland)

  • Henrik N. Knudsen

    (Division of Sustainability, Energy and Indoor Environment, Department of the Built Environment, Aalborg University, A. C. Meyers Vænge 15, 2450 Copenhagen, Denmark)

  • Alessandra Luna-Navarro

    (Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK)

  • Astrid Roetzel

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

  • Fisayo C. Sangogboye

    (Software Engineering Section, Mærsk Mckinney Møller Institute, University of Southern Denmark, 5230 Odense, Denmark)

  • Marcel Schweiker

    (Institute for Occupational, Social and Environmental Medicine, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany)

  • Mahnameh Taheri

    (Arbnco Ltd., Glasgow G1 1RD, UK)

  • Despoina Teli

    (Division of Building Services Engineering, Department of Architecture and Civil Engineering, Chalmers University of Technology, SE-412 96 Göteborg, Sweden)

  • Marianne Touchie

    (Department of Civil and Mineral Engineering, University of Toronto, Toronto, ON M5S 1A4, Canada)

  • Silke Verbruggen

    (Research Group Building Physics, Department of Architecture and Urban Planning, Ghent University, 9000 Ghent, Belgium)

Abstract

Buildings’ expected (projected, simulated) energy use frequently does not match actual observations. This is commonly referred to as the energy performance gap. As such, many factors can contribute to the disagreement between expectations and observations. These include, for instance, uncertainty about buildings’ geometry, construction, systems, and weather conditions. However, the role of occupants in the energy performance gap has recently attracted much attention. It has even been suggested that occupants are the main cause of the energy performance gap. This, in turn, has led to suggestions that better models of occupant behavior can reduce the energy performance gap. The present effort aims at the review and evaluation of the evidence for such claims. To this end, a systematic literature search was conducted and relevant publications were identified and reviewed in detail. The review entailed the categorization of the studies according to the scope and strength of the evidence for occupants’ role in the energy performance gap. Moreover, deployed calculation and monitoring methods, normalization procedures, and reported causes and magnitudes of the energy performance gap were documented and evaluated. The results suggest that the role of occupants as significant or exclusive contributors to the energy performance gap is not sufficiently substantiated by evidence.

Suggested Citation

  • Ardeshir Mahdavi & Christiane Berger & Hadeer Amin & Eleni Ampatzi & Rune Korsholm Andersen & Elie Azar & Verena M. Barthelmes & Matteo Favero & Jakob Hahn & Dolaana Khovalyg & Henrik N. Knudsen & Ale, 2021. "The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality?," Sustainability, MDPI, vol. 13(6), pages 1-44, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3146-:d:516117
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    References listed on IDEAS

    as
    1. 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.
    2. Hamburg, Anti & Kuusk, Kalle & Mikola, Alo & Kalamees, Targo, 2020. "Realisation of energy performance targets of an old apartment building renovated to nZEB," Energy, Elsevier, vol. 194(C).
    3. Kim, Yang-Seon & Heidarinejad, Mohammad & Dahlhausen, Matthew & Srebric, Jelena, 2017. "Building energy model calibration with schedules derived from electricity use data," Applied Energy, Elsevier, vol. 190(C), pages 997-1007.
    4. Burman, Esfand & Mumovic, Dejan & Kimpian, Judit, 2014. "Towards measurement and verification of energy performance under the framework of the European directive for energy performance of buildings," Energy, Elsevier, vol. 77(C), pages 153-163.
    5. Katharine van Someren & Phil Beaman & Li Shao, 2018. "Calculating the lighting performance gap in higher education classrooms," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(1), pages 15-22.
    6. Seunghui Lee & Sungwon Jung & Jaewook Lee, 2019. "Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea," Energies, MDPI, vol. 12(4), pages 1-18, February.
    7. Alex Gonzalez Caceres & Muriel Diaz, 2018. "Usability of the EPC Tools for the Profitability Calculation of a Retrofitting in a Residential Building," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    8. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    9. Niemierko, Rochus & Töppel, Jannick & Tränkler, Timm, 2019. "A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data," Applied Energy, Elsevier, vol. 233, pages 691-708.
    10. Rouleau, Jean & Gosselin, Louis & Blanchet, Pierre, 2019. "Robustness of energy consumption and comfort in high-performance residential building with respect to occupant behavior," Energy, Elsevier, vol. 188(C).
    11. Azar, Elie & Menassa, Carol C., 2014. "A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks," Energy Policy, Elsevier, vol. 67(C), pages 459-472.
    12. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    13. Li, Cheng & Hong, Tianzhen & Yan, Da, 2014. "An insight into actual energy use and its drivers in high-performance buildings," Applied Energy, Elsevier, vol. 131(C), pages 394-410.
    14. Rouleau, Jean & Gosselin, Louis & Blanchet, Pierre, 2018. "Understanding energy consumption in high-performance social housing buildings: A case study from Canada," Energy, Elsevier, vol. 145(C), pages 677-690.
    15. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    16. Xing Shi & Binghui Si & Jiangshan Zhao & Zhichao Tian & Chao Wang & Xing Jin & Xin Zhou, 2019. "Magnitude, Causes, and Solutions of the Performance Gap of Buildings: A Review," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    17. Ahmed Al Amoodi & Elie Azar, 2018. "Impact of Human Actions on Building Energy Performance: A Case Study in the United Arab Emirates (UAE)," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    18. Vine, Edward L. & Craig, Paul P. & Cramer, James C. & Dietz, Thomas M. & Hackett, Bruce M. & Kowalczyk, Dan J. & Levine, Mark D., 1982. "The applicability of energy models to occupied houses: Summer electric use in Davis," Energy, Elsevier, vol. 7(11), pages 909-925.
    19. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2014. "Domestic energy consumption patterns in a hot and humid climate: A multiple-case study analysis," Applied Energy, Elsevier, vol. 114(C), pages 353-365.
    20. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2014. "Domestic energy consumption patterns in a hot and arid climate: A multiple-case study analysis," Renewable Energy, Elsevier, vol. 62(C), pages 369-378.
    21. 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.
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    Cited by:

    1. Luka Pajek & Mitja Košir, 2021. "Exploring Climate-Change Impacts on Energy Efficiency and Overheating Vulnerability of Bioclimatic Residential Buildings under Central European Climate," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    2. Fiona Shirani & Kate O’Sullivan & Rachel Hale & Nick Pidgeon & Karen Henwood, 2022. "From Active Houses to Active Homes: Understanding Resident Experiences of Transformational Design and Social Innovation," Energies, MDPI, vol. 15(19), pages 1-18, October.
    3. Peñasco, Cristina & Anadón, Laura Díaz, 2023. "Assessing the effectiveness of energy efficiency measures in the residential sector gas consumption through dynamic treatment effects: Evidence from England and Wales," Energy Economics, Elsevier, vol. 117(C).
    4. Simon P. Melgaard & Kamilla H. Andersen & Anna Marszal-Pomianowska & Rasmus L. Jensen & Per K. Heiselberg, 2022. "Fault Detection and Diagnosis Encyclopedia for Building Systems: A Systematic Review," Energies, MDPI, vol. 15(12), pages 1-50, June.
    5. Geske, Joachim, 2022. "The value of energy efficiency in residential buildings – a matter of heterogeneity?!," Energy Economics, Elsevier, vol. 113(C).
    6. Geraldi, Matheus Soares & Ghisi, Enedir, 2022. "Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation," Energy, Elsevier, vol. 244(PB).
    7. Moeller, Simon & Bauer, Amelie, 2022. "Energy (in)efficient comfort practices: How building retrofits influence energy behaviours in multi-apartment buildings," Energy Policy, Elsevier, vol. 168(C).

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