Wind velocity prediction at wind turbine hub height based on CFD model

Li Li, Yimei Wang, Yongqian Liu
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引用次数: 6

Abstract

To meet the requirements of the wind power prediction of wind farms, the wind velocity at the wind turbines' hub height were predicted in this paper, taking an actual wind farm as the example. First, many steady CFD numerical calculations were conducted to simulate the air flow field above the wind farm. Standard k-εturbulence model was adopted in the calculation. Then, taking the mesoscale NWP parameters as input data, the wind velocities were predicted by the simulated flow fields during the period of the year 2010. Compared with the measured wind velocity, the yearly mean absolute error (MAE) of predicted wind velocity for each wind turbine is less than 2m/s, and as the MAE decreases, the number of wind velocity samples increases. It shows that wind velocity prediction by this CFD method is accurate. The research in this paper may provide support for the work of wind power forecasting.
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基于CFD模型的风力机轮毂高度风速预测
为满足风电场风电功率预测的要求,本文以实际风电场为例,对风机轮毂高度处的风速进行了预测。首先进行了多次稳态CFD数值计算,模拟了风电场上方的气流场。计算采用标准k-ε湍流模型。然后,以中尺度NWP参数为输入数据,利用模拟流场对2010年的风速进行预测。与实测风速相比,预测风速的年平均绝对误差(MAE)小于2m/s,并且随着MAE的减小,风速样本数量增加。计算结果表明,该方法预测风速是准确的。本文的研究可为风电功率预测工作提供支持。
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