Using Type-2 Fuzzy In Decision-Making For Wind Potential Assessment In Iran

Abstract

The present study proposes a novel multi-criteria method utilizing type-2 fuzzy logic for decision-making. The method was applied for analyzing the potential for the development of wind power plants in Iran. Considering the various environmental conditions in the country and lack of thorough investigations, Iran was chosen as the case study. However, the method could be easily extended to apply to other regions. In this study, the related technical data for all the 559 Synoptic meteorological stations in the country were investigated and used as the inputs for the introduced method. Applying two-step interviews with local experts and reviewing the literature, the leading indicators and their effectiveness were determined. After developing the fuzzy rules and sets based on the indicators’ behaviors and impacts, all the sites were scored and ranked using type-2 fuzzy logic in the proposed method. Finally, based on the outputs and the rankings, the priority tables were provided. The final standing of the top fifty sites in Iran for implementing offshore and onshore wind power plants was introduced. The current study results could be used for primary assessment for organizing investment resources for efficient and proper power plant development. Moreover, based on the results, several recommendations and suggestions were also mentioned for future studies.