Comparison of Different Driving Modes for the Wind Turbine Wake in Wind Tunnels

被引:12
作者
Dou, Bingzheng [1 ]
Yang, Zhanpei [1 ]
Guala, Michele [2 ]
Qu, Timing [1 ]
Lei, Liping [1 ]
Zeng, Pan [1 ]
机构
[1] Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China
[2] Univ Minnesota, Dept Civil Environm & Geoengn, St Anthony Falls Lab, Minneapolis, MN 55414 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
wind turbine; wake effect; wind tunnel experiment; turbulence intensity; driving mode; HORIZONTAL-AXIS WIND; TURBULENCE INTENSITY; POWER PERFORMANCE; FLOW STRUCTURE; ROTOR; BLADE; STABILITY; DOWNWIND; INFLOW;
D O I
10.3390/en13081915
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
The wake of upstream wind turbine is known to affect the operation of downstream turbines and the overall efficiency of the wind farm. Wind tunnel experiments provide relevant information for understanding and modeling the wake and its dependency on the turbine operating conditions. There are always two main driving modes to operate turbines in a wake experiment: (1) the turbine rotor is driven and controlled by a motor, defined active driving mode; (2) the rotor is driven by the incoming wind and subject to a drag torque, defined passive driving mode. The effect of the varying driving mode on the turbine wake is explored in this study. The mean wake velocities, turbulence intensities, skewness and kurtosis of the velocity time-series estimated from hot-wire anemometry data, were obtained at various downstream locations, in a uniform incoming flow wind tunnel and in an atmospheric boundary layer wind tunnel. The results show that there is not a significant difference in the mean wake velocity between these two driving modes. An acceptable agreement is observed in the comparison of wake turbulence intensity and higher-order statistics in the two wind tunnels.
引用
收藏
页数:17
相关论文
共 50 条
[31]   Sensitivity analysis of the effect of wind and wake characteristics on wind turbine loads in a small wind farm [J].
Shaler, Kelsey ;
Robertson, Amy N. ;
Jonkman, Jason .
WIND ENERGY SCIENCE, 2023, 8 (01) :25-40
[32]   An improved dynamic model for wind-turbine wake flow [J].
Feng, Dachuan ;
Gupta, Vikrant ;
Li, Larry K. B. ;
Wan, Minping .
ENERGY, 2024, 290
[33]   Wind turbine wake control strategies: A review and concept proposal [J].
Nash, Ryan ;
Nouri, Reza ;
Vasel-Be-Hagh, Ahmad .
ENERGY CONVERSION AND MANAGEMENT, 2021, 245
[34]   The Evaluation of the Wind Loads on a Wind Turbine under Different Wind Conditions [J].
Xiao, Shuo-You ;
Shih, Yang-Cheng .
8TH THERMAL AND FLUIDS ENGINEERING CONFERENCE, 2023, :293-295
[35]   Wind tunnel investigation on the effect of the turbine tower on wind turbines wake symmetry [J].
Pierella, Fabio ;
Saetran, Lars .
WIND ENERGY, 2017, 20 (10) :1753-1769
[36]   WIND CHARACTERISTICS IN THE WAKE OF A NON-ROTATING WIND TURBINE CLOSE TO A HILL [J].
Kozmar, Hrvoje ;
Allori, Davide ;
Bartoli, Gianni ;
Borri, Claudio .
TRANSACTIONS OF FAMENA, 2019, 43 (03) :13-36
[37]   Influence of wind shear on aerodynamic characteristics and wake shape of wind turbine blades [J].
Xu B. ;
Zhu Z. ;
Dai C. ;
Cai X. ;
Wang T. ;
Zhao Z. .
Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 2021, 53 (02) :362-372
[38]   A Wind Tunnel Experimental Study on the Wake Characteristics of a Horizontal Axis Wind Turbine [J].
Guo, Xingduo ;
Li, Yinran ;
Li, Rennian ;
Ma, Yulong ;
Wei, Kui .
JOURNAL OF THERMAL SCIENCE, 2025, 34 (01) :145-158
[39]   Numerical Investigation and Wind Tunnel Validation on Near-Wake Vortical Structures of Wind Turbine Blades [J].
Zhang, Zhenyu ;
Chen, Li ;
Wang, Tongguang .
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2016, 8 (04) :556-572
[40]   The effect of Coriolis force on the coherent structures in the wake of a 5MW wind turbine [J].
Manganelli, Felice ;
Bernardi, Claudio ;
Giannotta, Alessandro ;
Leonardi, Stefano ;
Cherubini, Stefania ;
De Palma, Pietro .
ENERGY CONVERSION AND MANAGEMENT-X, 2025, 25