Calibration of a super-Gaussian wake model with a focus on near-wake characteristics

被引:8
作者
Cathelain, M. [1 ]
Blondel, F. [1 ]
Joulin, P. A. [1 ]
Bozonnet, P. [1 ]
机构
[1] IFP Energies Nouvelles, 1-4 Ave Bois Preau, F-92852 Rueil Malmaison, France
来源
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5 | 2020年 / 1618卷
关键词
D O I
10.1088/1742-6596/1618/6/062008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Offshore wind turbine near wakes can extend downstream up to 5D due to low atmospheric turbulence intensities. They are characterised by strong velocity deficits, a transitioning Gaussian shape, and strong added turbulence intensities. Classical analytical wake models are still used due to their low computational costs, but they mainly focus on far-wake characteristics. A super-Gaussian wake model valid in near- and far-wake regions has recently been developed at IFP Energies nouvelles. This wake model requires calibration and validation. To this end, large-eddy simulations of the large DTU-10MW reference wind turbine under different neutrally stratified atmospheric flows are carried out with the LES Meso-NH model. A database is generated based on these results and used to calibrate and validate the super-Gaussian model.
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页数:11
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