On the statistics of wind turbine wake meandering: An experimental investigation

被引:65
|
作者
Howard, Kevin B. [1 ,2 ]
Singh, Arvind [1 ,2 ,3 ]
Sotiropoulos, Fotis [1 ,2 ]
Guala, Michele [1 ,2 ]
机构
[1] Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN 55414 USA
[2] Univ Minnesota, Dept Civil Environm & Geoengn, Minneapolis, MN 55414 USA
[3] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA
基金
美国国家科学基金会;
关键词
BOUNDARY-LAYER; MODEL; TUNNEL; FLOW; INSTABILITY; STABILITY;
D O I
10.1063/1.4923334
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Measurements of the instantaneous wake flow from a model wind turbine placed in a turbulent boundary layer were obtained by wall-parallel oriented particle image velocimetry (PIV) in the St. Anthony Falls Laboratory wind tunnel. PIV velocity vector fields were used to investigate mean (expansion angle, wavelength, and wake velocity) and higher order statistics (local slope, curvature, and correlation) describing meandering motions in the turbine wake. These statistics were used to compare the wakes produced by four different wind turbine operating configurations, which include a single turbine operating at two different tip-speed ratios and two turbines aligned with the mean flow. The origin of meandering motions was identified for all cases in the hub vortex signature, which evolved into a stretched or compressed low speed meander in the wall parallel plane, depending on the turbine operating conditions and on the interaction with the wake shear layer. Finally, both autocorrelation and scale-dependent statistics on the velocity minima fluctuations about the meander signature suggest that small scale vortices, found in the hub shear layer and in the wake shear layer, interact with the hub vortex and govern its spatial evolution into large scale wake meandering. (C) 2015 AIP Publishing LLC.
引用
收藏
页数:18
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