Multi-criteria decision-making approach in assessing the key barriers to the adoption and use of SWH in West Africa–Combination of modified Delphi and Fuzzy AHP

被引:4
作者
Agyekum, Ephraim Bonah [1 ,2 ]
Velkin, Vladimir Ivanovich [1 ]
机构
[1] Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg
[2] Western Caspian University, 31, Istiglaliyyat Street, Baku
关键词
Barriers; Fuzzy analytical hierarchy process; Modified Delphi method; Solar water heaters; West Africa;
D O I
10.1016/j.ijft.2024.100795
中图分类号
学科分类号
摘要
Africa faces a significant energy crisis, with over 600 million people lacking access to affordable and reliable power to meet their energy demands, despite the continent's vast solar energy potential. Several studies have indicated the high potential of solar water heaters (SWH) in various African countries in Africa due to the enormous solar energy resource. However, the diffusion and use of the same in Africa, especially in the West African sub-region, have been very slow compared to other sub-regions. This study thus assesses the barriers that affect the adoption and use of SWH systems using the Delphi method and the Fuzzy Analytical Hierarchy Process to prioritize and rank them for decision-making. The study identified five main barriers and prioritized them in the order of financing, gender, and market-related barriers (51 %), political, policy, and regulatory barriers (19 %), technical barriers (14 %), socio-cultural and public awareness barriers (11 %), as well as lack of standardization and quality assurance (6 %). The high cost of finance as well as difficulties in accessing finance prevent private sector investment, which ultimately affects the large-scale use of the SWH system in the sub-region. Also, the uneducated and a section of the educated do not fully appreciate the merits of the SWH system. This paper is expected to inform academics, practitioners, and regulators on future efforts to adopt for the SWH technologies in Africa, and to improve policies and strategies for their adoption across the continent. © 2024 The Authors
引用
收藏
相关论文
共 82 条
[41]  
Zadeh L.A., Fuzzy sets, Inform. Control, 8, pp. 338-353, (1965)
[42]  
Kubler S., Robert J., Derigent W., Voisin A., Le Traon Y., A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications, Expert Syst. Appl., 65, pp. 398-422, (2016)
[43]  
Deshmukh S., Sunnapwar V., Fuzzy Analytic Hierarchy Process (FAHP) for green supplier selection in Indian industries, (2019)
[44]  
Nezarat H., Sereshki F., Ataei M., Ranking of geological risks in mechanized tunneling by using Fuzzy Analytical Hierarchy Process (FAHP), Tunnell. Underground Space Technol., 50, pp. 358-364, (2015)
[45]  
Buckley J.J., Fuzzy hierarchical analysis, Fuzzy. Sets. Syst., 17, pp. 233-247, (1985)
[46]  
Sivrikaya B.T., Kaya A., Dursun M., Cebi F., Fuzzy AHP–goal programming approach for a supplier selection problem, Res. Logist. Prod., 5, pp. 271-285, (2015)
[47]  
Cebi S., Kahraman C., Developing a group decision support system based on fuzzy information axiom, Knowl. Based. Syst., 23, pp. 3-16, (2010)
[48]  
Wang Y., Xu L., Solangi Y.A., Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach, Sustain. Cities. Soc., 52, (2020)
[49]  
Yaqoot M., Diwan P., Kandpal T.C., Review of barriers to the dissemination of decentralized renewable energy systems, Renew. Sustain. Energy Rev., 58, pp. 477-490, (2016)
[50]  
Ayemba D., Why Africa needs to adopt solar water heating, Constructionreview, (2021)