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

被引:0
|
作者
Antoniou, Fani [1 ]
Mageiropoulos, Theofilos [1 ]
机构
[1] Int Hellen Univ, Dept Environm Engn, Thessaloniki 57400, Greece
关键词
energy efficiency; BWM; ranking of barriers; nearly zero-energy buildings (nZEB); green buildings; eco-materials; residential homes; INSTITUTIONAL BARRIERS; TECHNOLOGIES ADOPTION; DEVELOPING-COUNTRIES; SAVING TECHNOLOGIES; RISK-ASSESSMENT; POLICY; EFFICIENCY; DRIVERS; STAKEHOLDERS; AUSTRALIA;
D O I
10.3390/su162210143
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Decision Making with Intuitionistic Fuzzy Best-Worst Method
    Cheng, Xianjuan
    Chen, Changxiong
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
  • [42] Ranking journals: the Best-Worst scaling approach applied to the field of wine economics
    Outreville, Jean-Francois
    Agnoli, Lara
    Le Fur, Eric
    APPLIED ECONOMICS, 2022, 54 (15) : 1688 - 1699
  • [43] The Best-Worst Method Based on Interval Neutrosophic Sets
    Xu, Dongsheng
    Kang, Xue
    Zhang, Xinghai
    Zhu, Moyi
    IAENG International Journal of Computer Science, 2024, 51 (10) : 1527 - 1533
  • [44] Prioritizing Competitive Capabilities in Additive Manufacturing Systems Using Best-Worst Method
    Dohale, Vishwas
    Akarte, Milind
    Verma, Priyanka
    ADVANCES IN BEST-WORST METHOD, BWM2022, 2023, : 117 - 128
  • [45] Nonadditive best-worst method: Incorporating criteria interaction using the Choquet integral
    Liang, Yingying
    Ju, Yanbing
    Tu, Yan
    Rezaei, Jafar
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2023, 74 (06) : 1495 - 1506
  • [46] Sustainable facility relocation in agriculture systems using the GIS and best-worst method
    Yousefi-Babadi, Abolghasem
    Bozorgi-Amiri, Ali
    Tavakkoli-Moghaddam, Reza
    KYBERNETES, 2022, 51 (07) : 2343 - 2382
  • [47] Risk assessment of energy performance contracting in Türkiye utilizing best-worst method
    Oncu, Ecem
    Onaygil, Sermin
    Cin, Rabia
    ENERGY EFFICIENCY, 2024, 17 (07)
  • [48] A modified lexicographic semi-order model using the best-worst method
    Safarzadeh, Soroush
    Rasti-Barzoki, Morteza
    JOURNAL OF DECISION SYSTEMS, 2018, 27 (02) : 78 - 91
  • [49] Assessment of Environmental Performance Criteria in Textile Industry Using the Best-Worst Method
    Gbolarumi, Fadara Taiwo
    Wong, Kuan Yew
    ADVANCES IN BEST-WORST METHOD, BWM2021, 2022, : 160 - 174
  • [50] An extension of best-worst method with D numbers: Application in evaluation of renewable energy resources
    Mousavi-Nasab, Seyed Hadi
    Sotoudeh-Anvari, Alireza
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2020, 40