海上风力发电
海洋工程
选择(遗传算法)
海底管道
计算机科学
风力发电
环境科学
海洋学
地质学
工程类
人工智能
电气工程
作者
James Lee,Shanshan Qin,Katherine Coughlan,Charles Aubeny
摘要
Abstract The development of floating offshore wind farms (FOWFs) requires careful selection of marine anchor solutions, yet few studies address the anchor selection process. This paper proposes a decision-making framework to optimize the choice of marine anchors. The framework utilizes multi-criteria analysis, considering anchor reliability, environmental impact, and economic feasibility, while evaluating factors such as anchor type, holding capacity, installation complexity, environmental conditions, and cost. A case study validates the model, and sensitivity analyses assess the impact of varying criteria weights, ensuring the framework's adaptability to real-world applications. Results demonstrate the model's ability to rank anchor options based on project-specific requirements, supporting informed decisions that enhance reliability and cost efficiency. The proposed framework offers a novel, structured approach to anchor selection, improving existing decision-making practices and optimizing anchor performance and cost-effectiveness for floating offshore wind farms. In conclusion, this study provides valuable insights for engineers and project developers, contributing to the deployment of reliable and economically viable anchor solutions in the renewable energy sector.
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