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Turbulence characteristics in offshore wind farms from LES simulations of Lillgrund wind farm

机译:从Lillgrund风电场的LES模拟得出海上风电场的湍流特性

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摘要

The effect of wind turbine wakes in large offshore wind energy arrays can be a substantial factor in affecting the performance of turbines inside the array. Turbulent mixing plays a key role in the wake recovery, having a significant effect on the length over which the wake is strong enough to affect the performance of other turbines significantly. We highlight how turbulence affects wind turbine wakes using results from LES simulations of Lillgrund offshore wind farm in the context of SCADA data selected to mirror the wind conditions simulated. The analysis here concentrated on temporal spectra of wind velocities measured by the turbine's nacelle anemometer and calculated at the turbine locations in the computational model. The effect of the wind turbine rotor on the downstream flow is quantified by analysing the change in spectral features of turbines within the wind farm compared to turbines at the side of the farm exposed to the wind.
机译:大型海上风能阵列中的风力涡轮机尾流影响可能是影响阵列内部涡轮机性能的重要因素。湍流混合在尾流恢复中起着关键作用,它对尾流的强度影响很大,足以影响其他涡轮机的性能。我们使用选择来反映模拟风况的SCADA数据,利用Lillgrund近海风电场的LES模拟结果强调湍流如何影响风力发电机的尾流。这里的分析集中在由涡轮机的机舱风速计测量并在计算模型中的涡轮机位置处计算出的风速的时谱上。通过分析风场内的涡轮机的频谱特征与风场内暴露于风的一侧的涡轮机相比的频谱特征的变化,可以量化风力涡轮机转子对下游流量的影响。

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