Site Selection for Solar–Wind Hybrid Energy Storage Plants Based on Triangular Fuzzy Numbers: A Case Study of China

Hui Zhao and Hongru Zang ()
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Hui Zhao: School of Management Engineering, Qingdao University of Technology, Qingdao 266525, China
Hongru Zang: School of Management Engineering, Qingdao University of Technology, Qingdao 266525, China

Energies, 2025, vol. 18, issue 14, 1-25

Abstract: Against the backdrop of the energy revolution, global energy demands are rising. Solar–wind hybrid energy storage plants (SWHESPs) are undoubtedly a research hotspot in this field for enhancing energy efficiency. However, the primary challenge in constructing SWHESPs is site selection. This paper aims to comprehensively investigate the site selection process for SWHESPs and determine the optimal site scientifically and objectively by considering various aspects, including technology, society, environment, and economy. This study employs a literature review and the Delphi method to establish the site selection index system of SWHESPs. The triangular fuzzy number (TFN) is used in relative similarity as an objective weight, while the Decision-Making Test and Evaluation Laboratory (DEMATEL) is used as a subjective weight. The comprehensive weights are computed using the Lagrange optimization method. Additionally, the options are ranked and evaluated using Geographic Information System (GIS) and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods based on prospect theory. The study also performs comparative and sensitivity analyses to confirm the effectiveness of the proposed methods. Proper siting can optimize the efficiency of resource use, which not only helps achieve more efficient use of clean energy but also promotes local economic development and job creation.

Keywords: site selection; prospect theory–VIKOR; TFN-based relative similarity; DEMATEL; solar–wind hybrid energy storage plants (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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