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Surrogate models for substructure fatigue load estimation of offshore wind turbines

海上风力发电机下部结构疲劳载荷估算的替代模型

基本信息

批准号：
2748731
负责人：
金额：
--
依托单位：
University of Strathclyde
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2748731
关键词：
Surrogate models substructure fatigue load

项目摘要

The wind power industry has witnessed a growing demand for cleaner energy resources, with an increasingly strong aspiration to provide the world with a low-cost and low carbon footprint energy source. Cost effectiveness has been the primary driving force in making wind power competitive compared to fossil fuel energy generation. Wind turbine substructures are among the most expensive and intrincate parts of the wind turbine, typically constructed using different materials such as concrete or steel. With sizes that vary depending on the specific turbine model and site conditions, substructure can extend several meters in diameter and tens of meters in height. With these substantial structures, the aerodynamic loads and structural damping becomes an increasingly critical feature to analyze. The accurate modelling then is crucial for optimizing the performance and stability of substructures in wind power systems and in order to expedite the design process, the development of surrogate models holds great importance. Surrogate models, created through data-driven and physics-based approaches, can approximate the behavior and response of substructures allowing for faster evaluations and iterations. By utilizing surrogate models, engineers can save time and resources, accelerating the design optimization and decision-making processes in wind power projects.

风电行业对清洁能源的需求日益增长，为世界提供低成本、低碳足迹能源的愿望日益强烈。与化石燃料发电相比，成本效益一直是使风力发电具有竞争力的主要动力。风力涡轮机下部结构是风力涡轮机中最昂贵和最重要的部分之一，通常使用不同的材料，如混凝土或钢。根据具体的涡轮机模型和现场条件，其尺寸有所不同，子结构的直径可以延伸几米，高度可以延伸数十米。有了这些实体结构，气动载荷和结构阻尼成为分析的一个越来越重要的特征。因此，准确的建模对于优化风电系统子结构的性能和稳定性至关重要，为了加快设计过程，替代模型的开发具有重要意义。通过数据驱动和基于物理的方法创建的代理模型可以近似子结构的行为和响应，从而实现更快的评估和迭代。通过使用代理模型，工程师可以节省时间和资源，加快风电项目的设计优化和决策过程。