Study on wind turbine wake effect and analytical model in hilly terrain

被引:0
|
作者
Yang, Qingshan [1 ,2 ]
Zhang, Xingxin [1 ,2 ]
Li, Tian [1 ,2 ]
Law, Siu-seong [1 ]
Zhou, Xuhong [1 ,2 ]
Lu, Dawei [3 ]
机构
[1] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
[2] Chongqing Key Lab Wind Engn & Wind Energy Utilizat, Chongqing 400045, Peoples R China
[3] China Re Catastrophe Risk Management Co Ltd, Chongqing 400023, Peoples R China
关键词
Wind turbine; Wake effect; Terrain; Analytical wake model; LES; BOUNDARY-LAYER-FLOW; NUMERICAL-SIMULATION; COMPLEX TERRAIN; TURBULENCE; TUNNEL; FIELD; ESCARPMENTS; ROUGHNESS;
D O I
10.1016/j.renene.2025.122613
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding and predicting turbine wake effect is crucial for the development of wind farms. Most existing studies have primarily focused on flat terrain, resulting in a lack of analytical modeling of turbine wake in complex terrain. This study systematically investigates the time-averaged flow and turbulent behavior of the turbine in complex terrain using large eddy simulations (LES). It is found that the vertical and horizontal velocity components induced by the terrain can cause the turbine wake deflect, while changes in the pressure gradient affect the velocity recovery of the turbine wake. The velocity deficit of the turbine wake in complex terrain largely conforms to a Gaussian distribution. Additionally, the common practice of superimposing the turbine wake velocity deficit from flat terrain onto the terrain wind field cannot accurately predict the wake velocity distribution and power performance of the turbine in complex terrain. A new turbine wake model is proposed considering the wake deflection and variations in velocity deficit, in order to accurately predict the wake velocity distribution and power generation. The analysis reveals a significant improvement, with reductions in the maximum error of the average velocity at the turbine rotor plane and estimated power generation by 18 % and 31 %, respectively.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Investigation into wind turbine wake effect on complex terrain
    Sun, Haiying
    Yang, Hongxing
    Gao, Xiaoxia
    ENERGY, 2023, 269
  • [2] Investigation of hilly terrain wind characteristics considering the interference effect
    Chen, Fubin
    Wang, Weijia
    Gu, Ziqi
    Zhu, Yuzhe
    Li, Yi
    Shu, Zhenru
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2023, 241
  • [3] Implications of steep hilly terrain for modeling wind-turbine wakes
    Wang, Ding
    Feng, Dachuan
    Peng, Huaiwu
    Mao, Feng
    Doranehgard, Mohammad Hossein
    Gupta, Vikrant
    Li, Larry K. B.
    Wan, Minping
    JOURNAL OF CLEANER PRODUCTION, 2023, 398
  • [4] On the Wind Turbine Wake and Forest Terrain Interaction
    Cheng, Shyuan
    Elgendi, Mahmoud
    Lu, Fanghan
    Chamorro, Leonardo P.
    ENERGIES, 2021, 14 (21)
  • [5] Influence of thrust coefficient on the wake of a wind turbine: A numerical and analytical study
    Vahidi, Dara
    Porte-Agel, Fernando
    RENEWABLE ENERGY, 2025, 240
  • [6] Investigation of the wake propagation behind wind turbines over hilly terrain with different slope gradients
    Tian, Wei
    Zheng, Kuan
    Hu, Hui
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2021, 215
  • [7] Wind characteristics in wind farms situated on a hilly terrain
    Kozmar, Hrvoje
    Allori, Davide
    Bartoli, Gianni
    Borri, Claudio
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2018, 174 : 404 - 410
  • [8] Calculation model of speedup effect of wind velocity in hilly terrain
    Wei Q.-K.
    Li Z.-L.
    Sun Y.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (11): : 54 - 58+73
  • [9] Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation
    Fuertes, Fernando Carbajo
    Markfort, Corey D.
    Porte-Agel, Fernando
    REMOTE SENSING, 2018, 10 (05):
  • [10] An Analytical Model for the Effect of Vertical Wind Veer on Wind Turbine Wakes
    Abkar, Mandi
    Sorensen, Jens Norkaer
    Porte-Agel, Fernando
    ENERGIES, 2018, 11 (07):