Offshore Floating Wind Turbine Operation & Maintenance

在过去的几十年里，全球能源供应的组合发生了巨大的变化。在世界范围内，为了应对气候变化和不断增加的能源消耗，已经出现了从化石转向可再生和可持续能源的明显趋势。例如，2018年10月，风能产生了苏格兰98%的电力需求，创造了世界级的记录。与陆上风力涡轮机相比，海上风能可以提供相对更大的容量和更低的噪声污染水平等。随着风能产业向更深的水层移动，固定式风力涡轮机不再适合，必须使用浮动式风力涡轮机。另一方面，与陆上风电机组不同的是，由于海上风电机组运行环境恶劣，结构部件多，需要建立海上浮式风电机组的动力学模型，特别是在运行维护阶段。这项工作还将侧重于开发一个详细的风力涡轮机动力学模型，包括对机械部分(即气动-液压-伺服-弹性，AHSE)的全面模拟。通过模拟负荷效应，建立风电机组的耦合模型，求解风电机组在正常运行和极端工况下的响应，对风电机组的运行和维护具有重要意义。同时，数据科学的快速发展，在未来10年仍将是一个有前途的领域，特别是在风能领域，将与开发和分析AHSE模型一起用于速度/功率预测和预测以及故障检测和诊断。

The mix of energy supply worldwide has changed dramatically in the last few decades. Worldwide, in order to tackle climate change and increasing energy consumption, there has been a clear movement from fossils towards renewable and sustainable energy sources. Wind energy, for example, has generated 98% of Scottish electricity demand in October 2018, which has established a world-class record.Compared with onshore wind turbines, offshore wind could provide relatively larger capacity and a lower level of noise pollution, etc. As the wind industry moving to deeper water depth, fixed type wind turbines are no longer suitable, floating wind turbines must be applied. On the other hand, unlike onshore wind turbines, due to the harsh environment they are operating environment and the multifaceted structural components, the model of dynamics for offshore floating wind turbines, especially in the O&M phase needs to be developed.This project will first investigate the simulation of wind turbine operations based on advanced numerical methods. This work will also focus on developing a detailed model for the dynamics of wind turbines, including a comprehensive simulation of the mechanical part (i.e. aero-hydro-servo-elastic, AHSE). Through the simulated load effects, responses in normal operation and extreme conditions will be solved by a coupled model of the wind turbine system, which is significant for operation and maintenance. Meanwhile, the fast-growing of data science, which will still be a promising field over the next 10 years, especially in the wind energy sector, will be applied in this project together with the development and analysis of the AHSE model for speed/power forecasting & predictions and fault detection & diagnosis.