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CRITIC-CoCoSo Model Application in Hybrid Solar-Wind Energy Plant Location Selection Problem: A Case Study in Vietnam
Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12000, Thailand
* Corresponding Author: Rujira Chaysiri. Email:
Energy Engineering 2025, 122(2), 515-536. https://doi.org/10.32604/ee.2024.057786
Received 27 August 2024; Accepted 20 November 2024; Issue published 31 January 2025
Abstract
This paper presents a novel multi-criteria decision-making (MCDM) model for selecting optimal locations for a solar-wind hybrid energy plant in Vietnam. The study employs the Criteria Importance Through Intercriteria Correlation (CRITIC) and Combined Compromise Solution (CoCoSo) methods to address the challenge of evaluating potential sites based on a range of economic, technical, environmental, and social criteria. By integrating CRITIC for criteria weighting and CoCoSo for ranking alternatives, the study underscores the importance of objective, data-driven approaches in the strategic planning and implementation of sustainable energy projects. The results identify Ham Thuan Nam District in Binh Thuan Province (DA4) as the most suitable site for the solar-wind hybrid energy plant, with a performance score of 2.0919. Phan Thiet City (DA3) and Ninh Phuoc District (DA6) rank second and third, with scores of 2.0655 and 1.8723, respectively. Sensitivity analysis confirms the robustness of the model, showing stable rankings under various scenarios.Keywords
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