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Economic assessment and ranking of wind power potential using fuzzy-TOPSIS approach
- Mohsin, Muhammad, Zhang, Jijian, Saidur, Rahman, Sun, Huaping, Sait, Sadiq Mohammed
- Environmental science and pollution research international 2019 v.26 no.22 pp. 22494-22511
- Weibull statistics, economic sustainability, energy, energy costs, issues and policy, models, wind farms, wind power, Pakistan
- In this study, we proposed integrated tools to evaluate the wind power potential, economic viability, and prioritize 15 proposed sites for the installation of wind farms. Initially, we used modified Weibull distribution model coupled with power law to assess the wind power potential. Secondly, we employed value cost method to estimate per unit cost ($/kWh) of proposed sites. Lastly, we used Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS) to rank the best alternatives. The results indicate that Pakistan has enormous wind power potential that cost varies from 0.06 $/kWh to 0.58 $/kWh; thus, sites S12, S13, S14, and S15 are considered as the most economic viable locations for the installation of wind power project, while remaining sites are considered to be less important, due to other complexities. The further analysis using Fuzzy-TOPSIS method reveals that site S13 is the most optimal location followed by S12, S14, and S14 for the development of wind power project. We proposed that government should formulate wind power policy for the implementation of wind power projects in order to meet energy demand of the country.