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Ranking the Barriers to the Energy Upgrading of Buildings Using the Best-Worst Method

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  • Fani Antoniou

    (Department of Environmental Engineering, International Hellenic University, 57400 Sindos, Thessaloniki, Greece)

  • Theofilos Mageiropoulos

    (Department of Environmental Engineering, International Hellenic University, 57400 Sindos, Thessaloniki, Greece)

Abstract

The global need to reduce energy demand has led European governments to accelerate their endeavors to achieve their targets regarding nearly zero-energy buildings. Despite the implementation of funding initiatives for the energy upgrading of buildings in EU member states and other European countries, research has shown that the absorption rates of the offered funds remain low. This research aims to assess the significance of the barriers to improving the energy efficiency of Greece’s building stock. This is achieved by ranking the identified barriers using the best-worst method (BWM). The innovation provided by this study is that the data obtained are based on the experience of three categories of stakeholders, including professionals in the field, i.e., engineers and skilled workers, and homeowners. The results show that all three groups are discouraged from performing the energy upgrading of buildings due to economic barriers but also technological barriers related to a lack of training in the use of and slow development of related new technologies.

Suggested Citation

  • Fani Antoniou & Theofilos Mageiropoulos, 2024. "Ranking the Barriers to the Energy Upgrading of Buildings Using the Best-Worst Method," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:10143-:d:1525384
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    References listed on IDEAS

    as
    1. Martin Jakob, 2007. "The drivers of and barriers to energy efficiency in renovation decisions of single-family home-owners," CEPE Working paper series 07-56, CEPE Center for Energy Policy and Economics, ETH Zurich.
    2. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
    3. Veronika Andrea & Stilianos Tampakis & Paraskevi Karanikola & Maria Georgopoulou, 2020. "The Citizens’ Views on Adaptation to Bioclimatic Housing Design: Case Study from Greece," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    4. Nessa Winston, 2010. "Regeneration for sustainable communities? Barriers to implementing sustainable housing in urban areas," Sustainable Development, John Wiley & Sons, Ltd., vol. 18(6), pages 319-330, November/.
    5. Shen, Liyin & Zhang, Zhenyu & Long, Zhijian, 2017. "Significant barriers to green procurement in real estate development," Resources, Conservation & Recycling, Elsevier, vol. 116(C), pages 160-168.
    6. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    7. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    8. Gliedt, Travis & Hoicka, Christina E., 2015. "Energy upgrades as financial or strategic investment? Energy Star property owners and managers improving building energy performance," Applied Energy, Elsevier, vol. 147(C), pages 430-443.
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