Identification and quantification of vortical structures in wind turbine wakes for operational wake modeling

被引:1
|
作者
Marichal, Y. [1 ]
De Visscher, I. [1 ]
Chatelain, P. [1 ,2 ]
Winckelmans, G. [1 ,2 ]
机构
[1] Wake Predict Technol, Rue Louis de Geer 6, B-1348 Louvain La Neuve, Belgium
[2] Catholic Univ Louvain, Inst Mech Mat & Civil Engn, B-1348 Louvain La Neuve, Belgium
关键词
D O I
10.1088/1742-6596/753/3/032050
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 present paper describes a method to quantify the vortical structure characteristics from simulation results of the flow past a wind turbine, with the aim to develop an accurate, physics-based operational wake model. The wake centerline is first identified. Then, the flow characteristics are extracted by fitting a vorticity-based wake skeleton onto the velocity deficit profiles de fined around the centerline and measured at several downstream distances from the rotor. The simulation results were obtained using a hybrid Vortex Particle-Mesh approach combined with an immersed Lifting Line technique to account for the blades. The characterization of the identified vortex wake structure lays a basis for the development of an operational wake model based on strong physical grounds.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Multiple Wind Turbine Wakes Modeling Considering the Faster Wake Recovery in Overlapped Wakes
    Shao, Zhenzhou
    Wu, Ying
    Li, Li
    Han, Shuang
    Liu, Yongqian
    [J]. ENERGIES, 2019, 12 (04):
  • [2] Vortical structures in the wake of the savonius wind turbine by the discrete vortex method
    Afungchui, David
    Kamoun, Badreddinne
    Helali, Ali
    [J]. RENEWABLE ENERGY, 2014, 69 : 174 - 179
  • [3] Numerical Investigation and Wind Tunnel Validation on Near-Wake Vortical Structures of Wind Turbine Blades
    Zhang, Zhenyu
    Chen, Li
    Wang, Tongguang
    [J]. ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2016, 8 (04) : 556 - 572
  • [4] Numerical modeling of wind turbine wakes
    Sorensen, JN
    Shen, WZ
    [J]. JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 2002, 124 (02): : 393 - 399
  • [5] Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width
    Schottler, Jannik
    Bartl, Jan
    Muhle, Franz
    Saetran, Lars
    Peinke, Joachim
    Hoelling, Michael
    [J]. WIND ENERGY SCIENCE, 2018, 3 (01) : 257 - 273
  • [6] UNCERTAINTY QUANTIFICATION OF WIND TURBINE WAKES UNDER RANDOM WIND CONDITIONS
    Pereira, Tassia Penha
    Ekwaro-Osire, Stephen
    Dias, Joao Paulo
    Ward, Nicholas J.
    Cunha, Americo, Jr.
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2019, VOL 13, 2020,
  • [7] Recent advances in modeling of wind turbine wake vortical structure using a differential actuator disk theory
    Watters, Christophe Sibuet
    Masson, Christian
    [J]. SCIENCE OF MAKING TORQUE FROM WIND, 2007, 75
  • [8] MODELING OF WIND TURBINE WAKE FLOW
    LOEFFLER, A
    [J]. BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1980, 25 (09): : 1106 - 1106
  • [9] 3-DIMENSIONAL FREE WAKE CALCULATION OF WIND TURBINE WAKES
    ZERVOS, A
    HUBERSON, S
    HEMON, A
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1988, 27 (1-3) : 65 - 76
  • [10] Stochastic characteristics for the vortical structure of a 5-MW wind turbine wake
    Na, Ji Sung
    Koo, Eunmo
    Ko, Seung Chul
    Linn, Rodman
    Munoz-Esparza, Domingo
    Jin, Emilia Kyung
    Lee, Joon Sang
    [J]. RENEWABLE ENERGY, 2019, 133 : 1220 - 1230