Department of Mathematics, Abdul Wali Khan University, Mardan, KPK, 23200, Pakistan.
Department of Mathematics, Khawaja Farid University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Sci Rep. 2022 Mar 31;12(1):5443. doi: 10.1038/s41598-022-09323-5.
Wind power is often recognized as one of the best clean energy solutions due to its widespread availability, low environmental impact, and great cost-effectiveness. The successful design of optimal wind power sites to create power is one of the most vital concerns in the exploitation of wind farms. Wind energy site selection is determined by the rules and standards of environmentally sustainable development, leading to a low, renewable energy source that is cost effective and contributes to global advancement. The major contribution of this research is a comprehensive analysis of information for the multi-attribute decision-making (MADM) approach and evaluation of ideal site selection for wind power plants employing q-rung orthopair hesitant fuzzy rough Einstein aggregation operators. A MADM technique is then developed using q-rung orthopair hesitant fuzzy rough aggregation operators. For further validation of the potential of the suggested method, a real case study on wind power plant site has been given. A comparison analysis based on the unique extended TOPSIS approach is presented to illustrate the offered method's capability. The results show that this method has a larger space for presenting information, is more flexible in its use, and produces more consistent evaluation results. This research is a comprehensive collection of information that should be considered when choosing the optimum site for wind projects.
风能通常被认为是最好的清洁能源解决方案之一，因为它具有广泛的可用性、对环境的低影响和巨大的成本效益。成功设计最佳风力发电场以产生电力是开发风力发电场最关键的问题之一。风能选址取决于环境可持续发展的规则和标准，这导致了一种成本效益高、可再生的能源，为全球进步做出了贡献。这项研究的主要贡献是对多属性决策 (MADM) 方法的信息进行全面分析，并利用 q-rung 正交犹豫模糊粗糙 Einstein 聚合算子评估风力发电厂的理想选址。然后使用 q-rung 正交犹豫模糊粗糙聚合算子开发 MADM 技术。为了进一步验证所提出方法的潜力，给出了一个关于风力发电场选址的实际案例研究。基于独特的扩展 TOPSIS 方法进行了对比分析，说明了所提出方法的能力。结果表明，该方法具有更大的信息表达空间，使用更灵活，产生更一致的评估结果。本研究是在选择风力项目的最佳地点时应考虑的信息的综合收集。
