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Review on Research about Wake Effects of Offshore Wind Turbines

作     者:Yehong Dong Guangyin Tang Yan Jia Zekun Wang Xiaomin Rong Chang Cai Qingan Li Yingjian Yang 

作者机构:Southern Marine Science and Engineering Guangdong Laboratory(Zhanjiang)Zhanjiang524013China CSIS(Chongqing)HaizhuangWind Power Equipment Co.Ltd.Chongqing401122China Offshore Technology Center of CCSTianjin300457China School of Energy and Power EngineeringInner Mongolia University of TechnologyHohhot010051China Institute of Engineering ThermophysicsChinese Academy of SciencesBeijing100190China 

出 版 物:《Energy Engineering》 (能源工程(英文))

年 卷 期:2022年第119卷第4期

页      面:1341-1360页

核心收录:

学科分类:07[理学] 0707[理学-海洋科学] 

基  金:The work was sponsored by the Open Fund of Key Laboratory of Wind Energy and Solar Energy Technology(Inner Mongolia University of Technology),Ministry of Education(No.2020ZD01)in China the Fund of Southern Marine Science and Engineering Guangdong Laboratory(Zhanjiang)(ZJW-2019-02) 

主  题:Wind energy offshore wind turbines wake effects offshore wind farms 

摘      要:In recent years,the construction of offshore wind farms is developing *** the wake effect of the upstream wind turbines seriously affect the performance of the downstream wind turbines,the wake effect of offshore wind turbines has become one of the research ***,this article reviews the research methods of wake effects,including CFD numerical simulation method,wind turbine wake model based on roughness and engineering wake ***,there is no general model that can be used *** it puts forward some factors that affect the wake of offshore wind *** turbulence intensity in offshore wind fields is lower than that in onshore wind *** makes the wake recovery length of offshore wind turbines longer than that of onshore wind *** offshore wind turbines are simultaneously disturbed by wind loads and wave *** movement of the platform caused by wave *** affects the development and changes of the wake of wind *** this regard,the focus of research on the wake effects of offshore wind farms will be the proposal of accurate prediction models for the wake effects of sea wind farms.

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