Large-eddy simulation of a wind-turbine array subjected to active yaw control

被引:0
|
作者
Lin, Mou [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
关键词
ACTUATOR LINE MODELS; WAKE; FARM; BLADES; SCALE;
D O I
10.5194/wes-7-2215-2022
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study validates large-eddy simulation (LES) for predicting the flow through a wind turbine array subjected to active yaw control. The wind turbine array consists of three miniature wind turbines operated in both non-yawed and yawed configurations under full-wake and partial-wake conditions, for which wind tunnel flow measurements are available. The turbine-induced forces are parametrised by three different models: the standard actuator disk model (ADM-std), the blade element actuator disk model (ADM-BE), also referred to as the rotational actuator disk model (ADM-R), and the actuator line model (ALM). The time-averaged turbine power outputs and the profiles of the wake flow statistics (normalised streamwise mean velocity and streamwise turbulence intensity) obtained from the simulations using the ADM-std, the ADM-BE and the ALM are compared with experimental results. We find that simulations using the ADM-BE and ALM yield flow statistics that are in good agreement with the wind-tunnel measurements for all the studied configurations. In contrast, the results from LES with the ADM-std show discrepancies with the measurements obtained under yawed and/or partial-wake conditions. These errors are due to the fact that the ADM-std assumes a uniform thrust force, thus failing to capture the inherently inhomogeneous distribution of the turbine-induced forces under partial wake conditions. In terms of power prediction, we find that LES using the ADM-BE yields better power predictions than the ADM-std and the ALM in the cases considered in this study. As a result, we conclude that LES using the ADM-BE provides a good balance of accuracy and computational cost for simulations of the flow through wind farms subjected to AYC.
引用
收藏
页码:2215 / 2230
页数:16
相关论文
共 50 条
  • [1] Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations
    Yu-Ting Wu
    Fernando Porté-Agel
    [J]. Boundary-Layer Meteorology, 2011, 138 : 345 - 366
  • [2] Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations
    Wu, Yu-Ting
    Porte-Agel, Fernando
    [J]. BOUNDARY-LAYER METEOROLOGY, 2011, 138 (03) : 345 - 366
  • [3] Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study
    Abkar, Mahdi
    Porte-Agel, Fernando
    [J]. PHYSICS OF FLUIDS, 2015, 27 (03)
  • [4] The effect of atmospheric stability on wind-turbine wakes: A large-eddy simulation study
    Abkar, Mahdi
    Porte-Agel, Fernando
    [J]. SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
  • [5] Large-eddy simulation of wind-turbine wakes over two-dimensional hills
    Zhang, Ziyu
    Huang, Peng
    Bitsuamlak, Girma
    Cao, Shuyang
    [J]. PHYSICS OF FLUIDS, 2022, 34 (06)
  • [6] Large eddy simulation of a large wind-turbine array in a conventionally neutral atmospheric boundary layer
    Allaerts, Dries
    Meyers, Johan
    [J]. PHYSICS OF FLUIDS, 2015, 27 (06)
  • [7] Large eddy simulation study of fully developed wind-turbine array boundary layers
    Calaf, Marc
    Meneveau, Charles
    Meyers, Johan
    [J]. PHYSICS OF FLUIDS, 2010, 22 (01) : 1 - 16
  • [8] Experimental validation and improvement of actuator line model in the large-eddy simulation of wind-turbine wakes
    Gao, Zhi-Teng
    Wang, Tong-Guang
    [J]. INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2019, 2020, 463
  • [9] Large-eddy simulation study of wind turbine array above swell sea
    Yang, Haoze
    Ge, Mingwei
    Abkar, Mahdi
    Yang, Xiang I. A.
    [J]. ENERGY, 2022, 256
  • [10] Large-eddy simulation of upwind-hill effects on wind-turbine wakes andpower performance
    Zhang, Ziyu
    Huang, Peng
    Bitsuamlak, Girma
    Cao, Shuyang
    [J]. ENERGY, 2024, 294