Abstract
The Vietnamese government has decided to use and promote the development of more renewable energy sources, particularly wind energy. When implementing a wind energy project, choosing a wind turbine supplier is an important decision and investors must find the optimal supplier through evaluating many qualitative and quantitative criteria that affect each other symmetrically. Therefore, the process used for selecting a wind turbine supplier in wind power projects is a multi-criteria decision-making process. Many approaches have been applied for this decision process, some of which are based on multicriteria decision-making (MCDM) methods, whether applied individually or in combination with other MCDM models. In this study, the researchers proposed a decision-making model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects. In this paper, Vietnam is used as a case study. The recommended turbine suppliers for installations can finally be generated after the calculations in the final stage of this research. The contribution of this research is developing a fuzzy MCDM model for suitable turbine suppliers in wind power energy projects. The results of this study can be used as references for experts in deciding on a suitable wind turbine supplier in other countries as well as in other renewable energy projects.
Highlights
With more than 3200 km of coastline and a total marine area of about 1 million km2, Vietnam has huge potential for investment in offshore wind energy projects
The authors of this study propose an multicriteria decision-making (MCDM) model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects
The results showed that the 2.5 W unit produced by Goldwind would give the best evaluation value, which is aligned with the expanding market share of permanent magnet direct-drive wind turbines
Summary
With more than 3200 km of coastline and a total marine area of about 1 million km , Vietnam has huge potential for investment in offshore wind energy projects. Deciding on a suitable supplier has great influence on the completion time and operational efficiency of wind energy projects. This is a complex decision that requires the consideration of multiple factors. The selection of a wind turbine supplier in wind power energy projects is a multicriteria decision-making process. The authors of this study propose an MCDM model based on spherical fuzzy sets for wind turbine supplier selection in wind power energy projects. Process (SF-AHP) and Weighted Aggregated Sum Product Assessment (WASPAS), were used in this study in the final evaluation and selection of a wind turbine supplier. An application is presented to demonstrate the potential use of the proposed methodology
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