Analysis of the anisotropy aerodynamic characteristics of downstream wind turbine considering the 3D wake expansion based on coupling method

被引:10
作者
Xu, Zongyuan [1 ]
Gao, Xiaoxia [1 ,2 ,3 ]
Zhang, Huanqiang [1 ]
Lv, Tao [1 ]
Han, Zhonghe [1 ,2 ,3 ]
Zhu, Xiaoxun [1 ,2 ,3 ]
Wang, Yu [4 ]
机构
[1] North China Elect Power Univ Baoding, Dept Power Engn, Baoding, Peoples R China
[2] North China Elect Power Univ, Hebei Key Lab Low Carbon & High Efficiency Power G, Baoding 071003, Hebei, Peoples R China
[3] North China Elect Power Univ, Baoding Key Lab Low Carbon & High Efficiency Power, Baoding 071003, Hebei, Peoples R China
[4] North China Elect Power Univ Baoding, Dept Elect & Commun Engn, Baoding, Peoples R China
基金
中国国家自然科学基金;
关键词
Wind turbine; Aerodynamics performance; Anisotropy aerodynamic characteristics; Aero-elastic-servo model; 3D wake expansion; MODEL; FLOW;
D O I
10.1016/j.energy.2022.125962
中图分类号
O414.1 [热力学];
学科分类号
摘要
The inhomogeneous wake velocity distribution caused by the variation of relative position has a great impact on aerodynamic anisotropy characteristics of downstream wind turbine (WT). To accurately and efficiently evaluate the aerodynamic anisotropy of the downstream WT under wake inflow, an aero-elastic-servo model combined with the 3D Jensen-Gaussian (3DJG) wake model and OpenFAST was proposed in this paper. The accuracy of the model was verified by comparing with Jonkman's research. The effect of the relative installation position of the two 5 MW turbines on the aerodynamic anisotropy of the downstream WT was analyzed. Results indicate that the power loss of the downstream WT can be up to 17.47%-51.53% in the case investigated in this study. Due to the 3D wake expansion and the momentum mixing effect, relative axial distance and relative radial distance alternately become the dominant factor for rotor power recovery when y/R < 1 and y/R >= 1. The phenomenon mentioned in rotor power is also indicated in downstream rotor torque and thrust. Due to the inhomogeneous wind velocity distribution of the wake inflow, the standard deviation and average value of the blade root flapwise moment (BRFM) suffered by downstream WT are 10.84% and 24.30% larger than that suffered by upstream WT respectively. This paper provides better guidance for optimizing the WT layout and quantification of the wake effect on downstream WT.
引用
收藏
页数:14
相关论文
共 61 条
[1]  
Abedi H., 2016, THESIS CHALMERS U TE
[3]   Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data [J].
Aitken, Matthew L. ;
Banta, Robert M. ;
Pichugina, Yelena L. ;
Lundquist, Julie K. .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (04) :765-787
[4]  
[Anonymous], 2020, National Renewable Energy Laboratory (NREL)
[5]   Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore [J].
Barthelmie, R. J. ;
Hansen, K. ;
Frandsen, S. T. ;
Rathmann, O. ;
Schepers, J. G. ;
Schlez, W. ;
Phillips, J. ;
Rados, K. ;
Zervos, A. ;
Politis, E. S. ;
Chaviaropoulos, P. K. .
WIND ENERGY, 2009, 12 (05) :431-444
[6]   Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines [J].
Cao, Lichao ;
Ge, Mingwei ;
Gao, Xiaoxia ;
Du, Bowen ;
Li, Baoliang ;
Huang, Zhi ;
Liu, Yongqian .
APPLIED ENERGY, 2022, 323
[7]   Large Eddy Simulation of wind turbine fatigue loading and yaw dynamics induced by wake turbulence [J].
Chanprasert, W. ;
Sharma, R. N. ;
Cater, J. E. ;
Norris, S. E. .
RENEWABLE ENERGY, 2022, 190 :208-222
[8]  
Du Z, 1998, 1998 ASME WIND EN S
[9]   A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines [J].
Edmunds, Matt ;
Williams, Alison J. ;
Masters, Ian ;
Banerjee, Arindam ;
VanZwieten, James H. .
ENERGY, 2020, 194
[10]   Robust wake steering control design in a wind farm for power optimisation using adaptive learning game theory (ALGT) method [J].
Fazlollahi, Vahid ;
Shirazi, Farzad A. ;
Taghizadeh, Mostafa ;
Siahpour, Shahin .
INTERNATIONAL JOURNAL OF CONTROL, 2023, 96 (03) :628-644