Offshore Floating Wind Turbine Operation & Maintenance

在过去的几十年里，全球的能源供应结构发生了巨大的变化。在世界范围内，为了应对气候变化和不断增加的能源消耗，从化石能源到可再生能源和可持续能源的趋势已经很明显。例如，风能在2018年10月产生了苏格兰98%的电力需求，创造了世界一流的记录。与陆上风力发电机组相比，海上风力发电机组具有容量较大、噪声污染程度较低等特点。随着风电产业向深水方向发展，固定式风力发电机组已不再适用，必须采用浮动式风力发电机组。另一方面，与陆上风机不同，海上浮式风机运行环境恶劣，结构部件多面性，需要建立海上浮式风机特别是运维阶段的动力学模型。该项目将首先研究基于先进数值方法的风力涡轮机运行模拟。这项工作还将侧重于开发风力涡轮机动力学的详细模型，包括对机械部分（即空气-液压-伺服-弹性，AHSE）的全面模拟。通过模拟负荷效应，建立风力发电机组系统的耦合模型，求解正常运行和极端工况下的响应，对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AHSE模型的开发和分析一起应用于该项目，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.