Raju Sekar Kidambi, Natesan Saravanan, Alharbi Amal H, Kannan Subhash, Khafaga Doaa Sami, Periyasamy Muthusamy, Eid Marwa M, El-Kenawy El-Sayed M
School of Computing, SASTRA Deemed University, Thanjavur, 613401, India.
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Sci Rep. 2024 Oct 14;14(1):24071. doi: 10.1038/s41598-024-72761-w.
The research objective in the context of the study relates to the major concern of corrosion affecting the wind turbines in operation to find materials with high durability in relation to environmental conditions of operation, strength, and cost. A method is an integration of the Analytical Hierarchy Process (AHP) and VIKOR Multi-Criteria Decision Making (MCDM) techniques that will assess seven different material options on sixteen criteria that comprise corrosion resistance, mechanical properties, cost, and a negative environmental impact. From this result, the AHP method calculated the weights for the indicators and chose potential materials, and finally, the VIKOR method used these materials and compared and ranked them to obtain a compromise solution. The research novelty integrates the AHP and VIKOR MCDM methods to address corrosion in wind turbines. By evaluating seven materials against challenging sixteen criteria-including corrosion resistance, mechanical properties, cost, and toxicity, AHP ranks and weights the criteria, while VIKOR identifies the optimal material choice. This dual approach enhances the selection process, ensuring the chosen material improves turbine performance and durability, offering a significant advancement in the sustainable development of wind energy technology. In conclusion, by integrating AHP and VIKOR, it comprehensively evaluates multiple material options based on corrosion resistance, mechanical properties, cost, and environmental impact. This methodology effectively identifies materials that enhance wind turbine performance and extend their lifespan, addressing a critical industry challenge. The alternative exhibits a similarity to the positive ideal solution (Si) of 0.3704 and a relative closeness to the ideal solution (Ri) of 0.0750. Additionally, its priority ranking (Qi) is 0.001, placing it in the first rank for Carbon Fiber Reinforced Polymers (CFRP) within the selection methodology.
在该研究背景下，研究目标涉及影响运行中风力涡轮机的腐蚀这一主要问题，旨在寻找在运行环境条件、强度和成本方面具有高耐久性的材料。一种方法是将层次分析法（AHP）和VIKOR多准则决策（MCDM）技术相结合，该方法将根据包括耐腐蚀性、机械性能、成本和负面环境影响在内的16个标准评估7种不同的材料选项。根据这一结果，层次分析法计算了指标的权重并选择了潜在材料，最后，VIKOR方法使用这些材料进行比较和排名，以获得折衷解决方案。该研究的新颖之处在于将层次分析法和VIKOR多准则决策方法相结合来解决风力涡轮机的腐蚀问题。通过针对具有挑战性的16个标准（包括耐腐蚀性、机械性能、成本和毒性）评估7种材料，层次分析法对标准进行排名和加权，而VIKOR则确定最佳材料选择。这种双重方法改进了选择过程，确保所选材料提高涡轮机性能和耐久性，为风能技术的可持续发展带来了重大进步。总之，通过整合层次分析法和VIKOR，它基于耐腐蚀性、机械性能、成本和环境影响对多种材料选项进行了全面评估。这种方法有效地识别出能够提高风力涡轮机性能并延长其使用寿命的材料，解决了行业的一个关键挑战。该替代方案与正理想解（Si）的相似度为0.3704，与理想解的相对接近度（Ri）为0.0750。此外，其优先排名（Qi）为0.001，在选择方法中使其在碳纤维增强聚合物（CFRP）中位列第一。
