Wave energy site location optimizing in Chile: a fuzzy serial linear programming decision-making approach

Chia-Nan Wang (), Nhat-Luong Nhieu () and Hai- Van Tran
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Chia-Nan Wang: National Kaohsiung University of Science and Technology
Nhat-Luong Nhieu: National Kaohsiung University of Science and Technology
Hai- Van Tran: National Kaohsiung University of Science and Technology

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 10, No 26, 23929-23953

Abstract: Abstract Renewable energy is not only a solution to environmental problems but also a guarantee for national energy security. Previous studies on the energy potential showed that Chile possesses large wave energy. To promote and support the implementation of wave energy sites, his study presents a multi-criteria decision-making (MCDM) framework to identify optimal locations for Wave Energy Sites in Chile. Focusing on the integration of Data Envelopment Analysis, Fuzzy Best-Worst Method, and Bonferroni Fuzzy Combined Compromise Solution, the research assesses sites based on technical viability, environmental impact, and socio-economic benefits. Results prioritize sites suitability, offering guidance for strategic investment and policy-making. The study confirms the effectiveness of MCDM in renewable energy site selection and suggests areas for further research, including the incorporation of dynamic market and environmental conditions.

Keywords: Renewable energy; Data envelopment analysis; Multiple criteria decision-making; Fuzzy theory; Chile (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-023-04320-8

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