IMECH-IR  > 流固耦合系统力学重点实验室
Alternative TitleMarine Wind Environment Prediction and Dynamic Response of Floating OffshoreWind Turbine System
Thesis Advisor李家春 ; 张会琴
Degree Grantor中国科学院大学
Place of Conferral北京
Degree Discipline流体力学
Keyword海上风电场 多尺度风环境预报 漂浮式支撑基础 动力响应 概念设计


Other Abstract

Wind energy, as a kind of clean energy with mature technology and high reliability, has received extensive attention around the world. Over the past 30 years, offshore wind energy industry has developed vigorously. Many offshore wind farms have been built in countries all over the world, especially in European countries, but the construction costs are still very high compared with traditional energy sources. At present, the research of large capacity wind turbines and offshore wind farms with floating support foundation are the research hotspots. How to balance the safety and reliability of the operation of wind turbines and the cost of construction is the core issue in engineering and academia. Therefore, this paper focuses on the subject of offshore wind farm, aiming at the difficulties encountered in the early design and later operation of practical projects, and carries out relevant work in four aspects: short-term wind speed prediction of offshore wind farm, estimation of tropical cyclone extreme wind speed, dynamic responses of wind turbine system with the combined action of wind and wave and preliminary conceptual design of floating wind turbine system.
In the dissertation, the data of tropical cyclones over the Northwest Pacific during the 71 years (1945-2015) are sorted out, in order to explore the trend of tropical cyclone activities and to further estimate the extreme wind speed in the relevant sea area. Meanwhile, two sets of measured wind speed data of offshore wind farms with different time intervals are collected. Detailed and reliable data are the necessary conditions for further wind environment prediction.
For multi-scale marine wind environment prediction, short-term wind speed prediction and long-term extreme wind speed estimation of offshore wind farms are carried out respectively. Based on the time series analysis method, the inherent characteristics of the short-term wind speed series of Donghai Bridge Offshore Wind Farm are pointed out by analyzing the measured wind speed data. On this basis, the prediction accuracy of several time series models are compared by quantitative analysis, and a short-term wind speed prediction model suitable for Donghai Bridge Offshore Wind Farm is proposed. Analyzing the historical tendency and spatial distribution of tropical cyclone activities in the Northwest Pacific and East China Sea, it is found that they are non-stationary in time and non-uniform in space. Based on the non-stationary extreme wind speed prediction theory, the extreme wind speed in the East China Sea and its sub-regions at different recurrence periods is given.
For dynamic responses of offshore floating wind turbine system, an open source calculation program is recompiled and a computational mechanics model of full scale dynamic responses of floating wind turbine system is established. In view of various typical sea conditions, especially the actual sea conditions where the angle between the wind direction of the incoming flow and the main direction of the wave exists, the dynamic responses of the motion modes of the typical vertical fan system are calculated, and then the variation laws and their respective characteristics are explored respectively in time and frequency domains.
The dynamic response of two kinds of classical floating structures (SPAR type and semi-submersible type) are calculated by numerical simulation, and the characteristics of their dynamic response are compared and analyzed. On this basis, combined with the structural characteristics of the two, a new type of composite floating support foundation is designed. Furthermore, the dynamic response of pitching, surge and heave motion modes varying with the main parameters of the structure is studied, which provides a reference for further conceptual design.

Call NumberPhd2019-030
Document Type学位论文
Recommended Citation
GB/T 7714
吕国钦. 海洋风环境预报及浮式风力机系统动力响应[D]. 北京. 中国科学院大学,2019.
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