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Prediction of wind-turbine fatigue loads in forest regions based on turbulent LES inflow fields

机译:基于湍流LES入流场的林区风轮机疲劳载荷预测

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Large-eddy simulations (LES) were used to predict the neutral atmospheric boundary layer over a sparse and a dense forest, as well as over grass-covered flat terrain. The forest is explicitly represented in the simulations through momentum sink terms. Turbulence data extracted from the LES served then as inflow turbulence for the simulation of the dynamic structural response of a generic wind turbine. In this way, the impact of forest density, wind speed and wind-turbine hub height on the wind-turbine fatigue loads was studied. Results show for example significantly increased equivalent fatigue loads above the two forests. Moreover, a comparison between LES turbulence and synthetically generated turbulence in terms of load predictions was made and revealed that synthetic turbulence was able to excite the same spectral peaks as LES turbulence but lead to consistently lower equivalent fatigue loads. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:大涡模拟(LES)用于预测稀疏茂密森林以及草皮平坦地形上的中性大气边界层。通过动量吸收项在模拟中明确表示了森林。然后从LES中提取的湍流数据用作流入湍流,用于模拟通用风力涡轮机的动态结构响应。通过这种方式,研究了森林密度,风速和风轮机枢纽高度对风轮机疲劳载荷的影响。结果显示,例如,两个森林上方的等效疲劳负荷显着增加。此外,在负荷预测方面对LES湍流和合成产生的湍流进行了比较,结果表明,合成湍流能够激发与LES湍流相同的光谱峰,但导致等效疲劳载荷始终较低。版权所有(c)2016 John Wiley&Sons,Ltd.

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