A hybrid approach of wind farm site selection using Group Best‐Worst Method and GIS‐Based Fuzzy Logic Relations. A case study in Vietnam

Abstract

In this study, a hybrid model was developed by the combination of Group Multi‐Criteria Decision‐Making Based on Best‐Worst Method (so‐called Group Best Worst Method) and GIS‐Based Fuzzy Logic Relations to provide decision support of the sustainable development of wind power. The proposed model was developed in four main steps including 1) defining exclusion criteria and weighted criteria; 2) normalizing data by fuzzy membership functions in GIS environment; 3) determining the influence/weighting of the criteria through Group Best‐Worst Method; and 4) identifying the suitable areas for wind farm location. In a case study of Bac Lieu Province, Vietnam, it resulted in the coastal areas being most suitable for the development of wind power. It was found to be in line with the local plan of renewable energy development. Moreover, the paddy field areas could also be highly suitable for wind energy sitting due to the reduced adverse effects on nature reserves biodiversity, and the potential benefits associated with the increased land values and local farmer's income, higher crop yield, etc. The proposed hybrid model is considered a novel and straightforward approach in wind power planning that can be extended to other fields of MCDM regarding the selection of geographical location for the other renewable energy projects.

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