Potential of Wake Scaling Techniques for Vertical-Axis Wind Turbine Wake Prediction

被引:0
|
作者
Vahidi, Dara [1 ]
Porte-Agel, Fernando [1 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Wind Engn & Renewable Energy Lab WIRE, EPFL ENAC IIE WIRE, CH-1015 Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
wind turbine wake; vertical-axis wind turbine; analytical wake model; momentum diameter; MOMENTUM; MEMORY;
D O I
10.3390/en17174527
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Analytical wake models are widely used to predict wind turbine wakes. While these models are well-established for horizontal-axis wind turbines (HAWTs), the analytical wake models for vertical-axis wind turbines (VAWTs) remain under-explored in the wind energy community. In this study, the accuracy of two wake scaling techniques is evaluated to predict the change in the normalized maximum wake velocity deficit behind VAWTs by re-scaling the maximum wake velocity deficit behind an actuator disk with the same thrust coefficient. The wake scaling is defined in terms of equivalent diameter, considering the geometrical properties of the wake-generating object. Two different equivalent diameters are compared, namely the momentum diameter and hydraulic diameter. Different approaches are used to calculate the change in the normalized wake velocity deficit behind a disk with the same thrust coefficient as the VAWT. The streamwise distance is scaled with the equivalent diameter to predict the normalized maximum wake velocity deficit behind the desired VAWT. The performance of the proposed framework is assessed using large-eddy simulation data of VAWTs operating in a turbulent boundary layer with varying operating conditions and aspect ratios. For all of the cases, the momentum diameter scaling provides reasonable predictions of the VAWT normalized maximum wake velocity deficit.
引用
收藏
页数:11
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