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Fuzzy Multi-Criteria Decision Making for Solar Power Plant Location Selection

Thai Hoang Tuyet Nhi1, Chia-Nan Wang1, Nguyen Van Thanh2,*

1 Department of Industrial Engineering, National Kaohsiung University of Science and Technology, 80778, Taiwan
2 Faculty of Commerce, Van Lang University, Ho Chi Minh City, Vietnam

* Corresponding Author: Nguyen Van Thanh. Email:

Computers, Materials & Continua 2022, 72(3), 4853-4865. https://doi.org/10.32604/cmc.2022.026374

Abstract

Vietnam is one of Southeast Asian countries with a rapid GDP growth rate, ranging from 6.5% to 7% annually, leading to an average increase in energy demand of 11% per year. This demand creates many new opportunities in the energy industry, especially renewable energy, to ensure sustainable development in the future for the country with applications of solar energy growing at the present, and other opportunities to expand in the future. In Vietnam, thanks to favorable weather, climate, terrain characteristics and many preferential support policies, there are many great opportunities in the field of solar energy exploitation and application. Location selection is an important problem in all renewable energy projects. Therefore, the author proposed a fuzzy Multi-criteria Decision-Making Model (MCDM) model for solar power plant location selection in this study, and as a result, location 5 is the optimal solution. The contribution of this study is to propose a MCDM for solar power plant location selection in Vietnam under fuzzy environmental conditions.

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Cite This Article

T. Hoang Tuyet Nhi, C. Wang and N. Van Thanh, "Fuzzy multi-criteria decision making for solar power plant location selection," Computers, Materials & Continua, vol. 72, no.3, pp. 4853–4865, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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