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
[41]   Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer [J].
Wei Zhang ;
Corey D. Markfort ;
Fernando Porté-Agel .
Experiments in Fluids, 2012, 52 :1219-1235
[42]   Study on Complex Wake Characteristics of Yawed Wind Turbine Using Actuator Line Method [J].
Wang, Tengyuan ;
Zhou, Shuni ;
Cai, Chang ;
Wang, Xinbao ;
Wang, Zekun ;
Zhang, Yuning ;
Shi, Kezhong ;
Zhong, Xiaohui ;
Li, Qingan .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (05)
[43]   Experimental study of turbulence intensity on the wake characteristics of a horizontal-axis wind turbine [J].
Han, Yuxia ;
Wang, Jianwen ;
Li, Xin ;
Jin, Kaining ;
Yang, Bin ;
Dong, Xueqing ;
Wen, Caifeng .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2022, 44 (04) :9545-9563
[44]   Study on wind turbine wake effect and analytical model in hilly terrain [J].
Yang, Qingshan ;
Zhang, Xingxin ;
Li, Tian ;
Law, Siu-seong ;
Zhou, Xuhong ;
Lu, Dawei .
RENEWABLE ENERGY, 2025, 244
[45]   The role of wake splitter deflector on performance enhancement of Savonius wind turbine [J].
Fatahian, Esmaeel ;
Ismail, Farzad ;
Ishak, Mohammad Hafifi Hafiz ;
Chang, Wei Shyang .
PHYSICS OF FLUIDS, 2022, 34 (09)
[46]   RESEARCH AND VALIDATION OF 3D WAKE MODEL FOR WIND TURBINE [J].
Ling Z. ;
Zhao Z. ;
Liu H. ;
Ma Y. ;
Liu Y. ;
Wang D. .
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (04) :99-105
[47]   Vortical structures in the wake of the savonius wind turbine by the discrete vortex method [J].
Afungchui, David ;
Kamoun, Badreddinne ;
Helali, Ali .
RENEWABLE ENERGY, 2014, 69 :174-179
[48]   An Experimental Study on the Effects of Winglets on the Wake and Performance of a Model Wind Turbine [J].
Tobin, Nicolas ;
Hamed, Ali M. ;
Chamorro, Leonardo P. .
Energies, 2015, 8 (10) :11955-11972
[49]   A Review on Failure Modes of Wind Turbine Components [J].
Olabi, Abdul Ghani ;
Wilberforce, Tabbi ;
Elsaid, Khaled ;
Sayed, Enas Taha ;
Salameh, Tareq ;
Abdelkareem, Mohammad Ali ;
Baroutaji, Ahmad .
ENERGIES, 2021, 14 (17)
[50]   Effects of Freestream Turbulence in a Model Wind Turbine Wake [J].
Jin, Yaqing ;
Liu, Huiwen ;
Aggarwal, Rajan ;
Singh, Arvind ;
Chamorro, Leonardo P. .
ENERGIES, 2016, 9 (10)