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Modelling decisions on energy-efficient renovations: A review

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  • Friege, Jonas
  • Chappin, Emile

Abstract

The buildings sector accounts for more than 30% of global greenhouse gas emissions. Despite the well-known economic viability of many energy-efficient renovation measures which offer great potential for reducing greenhouse gas emissions and meeting climate protection targets, there is a relatively low level of implementation. We performed a citation network analysis in order to identify papers at the research front and intellectual base on energy-efficient renovation in four areas: technical options, understanding decisions, incentive instruments, and models and simulation. The literature was reviewed in order to understand what is needed to sufficiently increase the number of domestic energy-efficient renovations and to identify potential research gaps. Our findings show that the literature on energy-efficient renovation gained considerable momentum in the last decade, but lacks a deep understanding of the uncertainties surrounding economic aspects and non-economic factors driving renovation decisions of homeowners. The analysis indicates that the (socio-economic) energy saving potential and profitability of energy-efficient renovation measures is lower than generally expected. It is suggested that this can be accounted for by the failure to understand and consider the underpinning influences of energy-consuming behaviour in calculations. Homeowners׳ decisions to renovate are shaped by an alliance of economic and non-economic goals. Therefore, existing incentives, typically targeting the economic viability of measures, have brought little success. A deeper understanding of the decisions of homeowners is needed and we suggest that a simulation model which maps the decision-making processes of homeowners may result in refining existing instruments or developing new innovative mechanisms to tackle the situation.

Suggested Citation

  • Friege, Jonas & Chappin, Emile, 2014. "Modelling decisions on energy-efficient renovations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 196-208.
  • Handle: RePEc:eee:rensus:v:39:y:2014:i:c:p:196-208
    DOI: 10.1016/j.rser.2014.07.091
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    2. Shoaib Azizi & Gireesh Nair & Thomas Olofsson, 2020. "Adoption of Energy Efficiency Measures in Renovation of Single-Family Houses: A Comparative Approach," Energies, MDPI, vol. 13(22), pages 1-16, November.
    3. Vitalii Nitsenko & Abbas Mardani & Justas Streimikis & Iryna Shkrabak & Ivan Klopov & Oleh Novomlynets & Olha Podolska, 2018. "Criteria for Evaluation of Efficiency of Energy Transformation Based on Renewable Energy Sources," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(4), pages 237-247.
    4. Carstens, Herman & Xia, Xiaohua & Yadavalli, Sarma, 2018. "Measurement uncertainty in energy monitoring: Present state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2791-2805.
    5. Jonas Friege & Georg Holtz & Emile Chappin, 2016. "Exploring Homeowners’ Insulation Activity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-4.
    6. Paul Baginski & Christoph Weber, 2017. "A Consumer Decision-making Process? Unfolding Energy Efficiency Decisions of German Owner-occupiers," EWL Working Papers 1708, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Aug 2017.
    7. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    8. Wang, Zhaohua & Liu, Qiang & Zhang, Bin, 2022. "What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    9. Alisa Freyre & Stefano Cozza & Matthias Rüetschi & Meinrad Bürer & Marlyne Sahakian & Martin K. Patel, 2021. "How to Improve Effectiveness of Renewable Space Heating Programs by Better Understanding Homeowner—Installer Interactions," Energies, MDPI, vol. 14(15), pages 1-24, July.
    10. Theofano Fotiou & Alessia de Vita & Pantelis Capros, 2019. "Economic-Engineering Modelling of the Buildings Sector to Study the Transition towards Deep Decarbonisation in the EU," Energies, MDPI, vol. 12(14), pages 1-28, July.
    11. Koirala, Binod Prasad & Koliou, Elta & Friege, Jonas & Hakvoort, Rudi A. & Herder, Paulien M., 2016. "Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 722-744.
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    13. Dalia Streimikiene & Tomas Balezentis & Irena Alebaite, 2020. "Climate Change Mitigation in Households between Market Failures and Psychological Barriers," Energies, MDPI, vol. 13(11), pages 1-21, June.
    14. Wilson, C. & Pettifor, H. & Chryssochoidis, G., 2018. "Quantitative modelling of why and how homeowners decide to renovate energy efficiently," Applied Energy, Elsevier, vol. 212(C), pages 1333-1344.
    15. Khayatian, Fazel & Sarto, Luca & Dall'O', Giuliano, 2017. "Building energy retrofit index for policy making and decision support at regional and national scales," Applied Energy, Elsevier, vol. 206(C), pages 1062-1075.
    16. Hecher, Maria & Hatzl, Stefanie & Knoeri, Christof & Posch, Alfred, 2017. "The trigger matters: The decision-making process for heating systems in the residential building sector," Energy Policy, Elsevier, vol. 102(C), pages 288-306.
    17. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
    18. Kaya, O. & Klepacka, A.M. & Florkowski, W.J., 2021. "The role of personal and environmental factors in rural homeowner decision to insulate; an example from Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    19. Daniel Feser & Till Proeger, 2017. "Asymmetric information as a barrier to knowledge spillovers in expert markets," International Entrepreneurship and Management Journal, Springer, vol. 13(1), pages 211-232, March.
    20. Robert Baumhof & Thomas Decker & Klaus Menrad, 2019. "A Comparative Analysis of House Owners in Need of Energy Efficiency Measures but with Different Intentions," Energies, MDPI, vol. 12(12), pages 1-19, June.
    21. Murto, P. & Jalas, M. & Juntunen, J. & Hyysalo, S., 2019. "Devices and strategies: An analysis of managing complexity in energy retrofit projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    22. Lamia Brissel & Laurent Dupont & Laure Morel & Claudine Guidat, 2016. "Cost and efficiency assessment during deep energy refurbishment strategies: A case-study-based methodology," Post-Print hal-01332552, HAL.
    23. Frantál, Bohumil & Dvořák, Petr, 2022. "Reducing energy poverty in deprived regions or supporting new developments in metropolitan suburbs? Regional differences in the use of subsidies for home energy efficiency renovations," Energy Policy, Elsevier, vol. 171(C).
    24. Heiskanen, Eva & Matschoss, Kaisa, 2017. "Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 580-591.
    25. Georg Holtz & Christian Schnülle & Malcolm Yadack & Jonas Friege & Thorben Jensen & Pablo Thier & Peter Viebahn & Émile J. L. Chappin, 2020. "Using Agent-Based Models to Generate Transformation Knowledge for the German Energiewende—Potentials and Challenges Derived from Four Case Studies," Energies, MDPI, vol. 13(22), pages 1-26, November.

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