School of Finance and Economics, Jiangsu University, Zhenjiang, 212013, China.
School of Business Administration, Shaheed Benazir Bhutto University, Shaheed Benazirabad, 67450, Pakistan.
Environ Sci Pollut Res Int. 2019 Aug;26(22):22494-22511. doi: 10.1007/s11356-019-05564-6. Epub 2019 Jun 3.
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 $/kWh; thus, sites S12, S13, S14, and S15 are considered as the most economic viable locations for the installation of wind power project, while remaining sites are considered to be less important, due to other complexities. The further analysis using Fuzzy-TOPSIS method reveals that site S13 is the most optimal location followed by S12, S14, and S14 for the development of wind power project. We proposed that government should formulate wind power policy for the implementation of wind power projects in order to meet energy demand of the country.
在本研究中，我们提出了综合工具来评估风力潜力、经济可行性，并为 15 个拟议的风力发电场选址进行优先级排序。首先，我们使用修正的 Weibull 分布模型与幂律相结合来评估风力潜力。其次，我们采用价值成本法来估算每个拟议场址的单位成本（$/kWh$）。最后，我们使用逼近理想解的排序方法（F-TOPSIS）对最佳替代方案进行排名。结果表明，巴基斯坦具有巨大的风力潜力，成本从 0.06$/kWh 到 0.58$/kWh 不等；因此，S12、S13、S14 和 S15 等场址被认为是最经济可行的风力发电项目选址，而其余场址则由于其他复杂性因素被认为不太重要。使用模糊 TOPSIS 方法进一步分析表明，S13 场址是最适合开发风力发电项目的选址，其次是 S12、S14 和 S15。我们建议政府应制定风力发电政策，以实施风力发电项目，满足国家的能源需求。
