纵荡运动下漂浮式风力机尾流模型

Wake model of floating offshore wind turbine under surge motion

  • 摘要: 纵荡显著影响漂浮式风力机( Floating offshore wind turbine, FOWT)的推力系数变化和尾流发展特性。本文考虑纵荡运动及其导致推力系数的动态变化,提出了纵荡运动下的FOWT尾流模型,以预测风力机尾流及推力系数变化。模型采用高阶高斯函数描述尾流分布,首先修正了FOWT纵荡时轮毂位置变化,其次通过纵荡产生的附加速度修正风轮处相对入流风速,最后根据FOWT一阶正弦运动建立推力系数动态化模型。与风洞试验结果对比发现,模型对FOWT逆风纵荡时尾流预测均方根误差为4.04%,顺风纵荡时尾流预测均方根误差为1.47%。修正后的推力系数与CFD计算结果具有良好的一致性,高频纵荡下(f ≥ 0.072 Hz)两者的平均相对误差在1%以内。最后,分析了不同时刻尾流分布特性,结果表明,纵荡运动下FOWT下游相同位置尾流亏损在时均值附近呈周期性波动,尾流中心风速受纵荡频率影响较大,高频运动下(f = 0.09 Hz)尾流中心风速波动幅值达到7.8%。本文提出的模型可用于预测漂浮式风力机尾流并可为建立漂浮式风电场布局优化模型提供基础。

     

    Abstract: The surge motion significantly influences the thrust coefficient and wake development characteristics of floating offshore wind turbines (FOWT). Considering the surge motion and changes of the thrust coefficient over time, a dynamic wake model under surge is proposed to predict the dynamic wake response and thrust coefficient various. A high-order Gaussian function describes the wake profile. The model is developed through three steps. Firstly, the hub position change during the surge motion is corrected. Secondly, the relative inflow velocity at the rotor is modified by considering the additional velocity induced by the surge. Finally, a dynamic model of the thrust coefficient is established based on the first-order sinusoidal motion of FOWT. Comparisons with wind tunnel test data show that the model predicts the wake with a root mean square error of 4.04% during upwind surge and 1.47% during downwind surge. The modified thrust coefficient agrees well with CFD simulation results. Under high-frequency surge conditions (f ≥ 0.072 Hz), the average relative error between the two is within 1%. Finally, an analysis of the wake distribution characteristics at different time points reveals that, under surge motion, the wake deficit at a fixed downstream location of the FOWT fluctuates periodically around its time-averaged value. The wind speed at the wake center is significantly influenced by the surge frequency. Under high-frequency motion (f = 0.09 Hz), the fluctuation amplitude of the wake center wind speed reaches 7.8%. The model proposed in this study can be employed to predict the wake of floating wind turbines and provides a foundational basis for the development of layout optimization models for floating offshore wind farms.

     

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