Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation

被引:81
|
作者
Fuertes, Fernando Carbajo [1 ]
Markfort, Corey D. [2 ,3 ]
Porte-Agel, Fernando [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Wind Engn & Renewable Energy Lab WiRE, CH-1015 Lausanne, Switzerland
[2] Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA
[3] Univ Iowa, Civil & Environm Engn, Iowa City, IA 52242 USA
来源
REMOTE SENSING | 2018年 / 10卷 / 05期
基金
瑞士国家科学基金会;
关键词
wind energy; atmospheric boundary layer; wind turbine wake; wind lidar; turbulence; wake modeling; field experiments; ATMOSPHERIC STABILITY; OPTIMIZATION; IMPACT; FARMS; FLOW;
D O I
10.3390/rs10050668
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents the setup, methodology and results from a measurement campaign dedicated to the characterization of full-scale wind turbine wakes under different inflow conditions. The measurements have been obtained from two pulsed scanning Doppler lidars mounted on the nacelle of a 2.5 MW wind turbine. The first lidar is upstream oriented and dedicated to the characterization of the inflow with a variety of scanning patterns, while the second one is downstream oriented and performs horizontal planar scans of the wake. The calculated velocity deficit profiles exhibit self-similarity in the far wake region and they can be fitted accurately to Gaussian functions. This allows for the study of the growth rate of the wake width and the recovery of the wind speed, as well as the extent of the near-wake region. The results show that a higher incoming turbulence intensity enhances the entrainment and flow mixing in the wake region, resulting in a shorter near-wake length, a faster growth rate of the wake width and a faster recovery of the velocity deficit. The relationships obtained are compared to analytical models for wind turbine wakes and allow to correct the parameters prescribed until now, which were obtained from wind-tunnel measurements and large-eddy simulations (LES), with new, more accurate values directly derived from full-scale experiments.
引用
收藏
页数:18
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