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作 者:Songyang Liu Zhiqiang Xin Lei Wang Zhiming Cai 刘凇仰;信志强;王磊;蔡智名
机构地区:[1]College of Mechanics and Engineering Science,HoHai University,Nanjing,211100,China
出 处:《Acta Mechanica Sinica》2024年第8期67-84,共18页力学学报(英文版)
基 金:supported by the Key Laboratory of Ministry of Education for Coastal Disaster and Protection,Hohai University(Grant No.J202202);the National Natural Science Foundation of China(Grant No.11872174);the Fundamental Research Funds for the Central Universities(Grant No.B200202236);the Key Laboratory of Port,Waterway&Sedimentation Engineering Ministry of Communications,PRC(Grant No.Yk220001-2).
摘 要:The comprehensive numerical simulation of the tower shadow effect on floating offshore wind turbines(FOWTs),an area less explored compared to fixed-bottom wind turbines,is presented in this study.The atmospheric boundary layer inflow and the joint north sea wave project random wave are used as the operating conditions for FOWT.The combination of computational fluid dynamics(CFD)software simulator for wind farm applications and turbine simulation tool OpenFAST is used to implement fluid-structure interaction calculations.The output power,platform motion,wake velocity deficit and vortex structures are analyzed to reveal the influence of the tower shadow effect on the FOWT.The results indicate that due to the fluctuation caused by the turbulent wind and the floating platform motion,the tower shadow effect of FOWT is less significant for its periodic power decay than that of fixed-bottom wind turbines.And according to the velocity deficit analysis,the influence area of the tower shadow effect on the wake is mainly in the near wake region.与固定式风力机相比,漂浮式风力机(FOWT)的塔影效应是一个尚待研究的问题.本文对其进行了全面的数值模拟,使用大气边界层(ABL)入流和JONSWAP随机波作为FOWT的运行条件.通过联合使用计算流体力学(CFD)软件SOWFA和风力机仿真工具OpenFAST实现流固耦合计算.通过分析输出功率、平台运动响应、尾流速度亏损和涡结构来揭示塔影效应对FOWT的影响.结果表明,由于湍流风和漂浮式平台运动引起的速度波动,FOWT的塔影效应对其功率的周期性衰减的影响不如固定式风力机显著.尾流速度亏损分析表明,塔影效应对尾流的影响主要集中在近尾流区域.
关 键 词:Floating offshore wind turbine Tower shadow effect Atmospheric boundary layer inflow JONSWAP wave Wind turbine wake
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