On the Wind Turbine Wake Mathematical Modelling

被引：11
|
作者：
Brusca, Sebastian [1 ]
Lanzafame, Rosario [2 ]
Famoso, Fabio [2 ]
Galvagno, Antonio [1 ]
Messina, Michele [2 ]
Mauro, Stefano [2 ]
Prestipino, Mauro [1 ]
机构：
[1] Univ Messina, I-98166 Messina, Italy
[2] Univ Catania, Viale A Doria 6, I-95125 Catania, Italy
来源：
ATI 2018 - 73RD CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION | 2018年 / 148卷
关键词：
Wind Turbine; Wake; Mathematical Modelling; Wind Tunnel; Optimal WT placement;
D O I：
10.1016/j.egypro.2018.08.069
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The present paper deals with a study on the wind turbine wake mathematical modelling as well as experimental validation by means of wind tunnel experiments. In particular, different wind turbine wake's equations were implemented and results compared with experimental data. Therefore, an experimental setup was implemented in the wind tunnel test section with a small-scale wind turbine, while velocity deficit was measured. A design of experiment based on three parameters variation was defined: wind velocity, turbine rotational speed and distance from the wind turbine rotor. In the same experimental conditions simulations were carried out by means of three 1D equations. In particular, Jensen, Larsen and Frandsen equations were studied. Comparing theoretical and experimental results, it is evident that Larsen mathematical model is in good agreement with experimental data, while Jensen and Frandsen mathematical models are able to identify only mean and peak velocity deficit, respectively. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：202 / 209
页数：8
相关论文
共 50 条
  • [1] A mathematical model of wake speed behind wind turbine
    Huang, Runlan
    Zeng, Xuelan
    Yu, Zhi
    [J]. 2013 INTERNATIONAL CONFERENCE ON MATERIALS FOR RENEWABLE ENERGY AND ENVIRONMENT (ICMREE), VOLS 1-3, 2013, : 377 - 381
  • [2] A hybrid method for modelling wake flow of a wind turbine
    Yuan, Yuming
    Ma, Q. W.
    Yan, Shiqiang
    Zheng, Xing
    Liao, Kangping
    Ma, Gang
    Sun, Hanbing
    Khayyer, Abbas
    [J]. OCEAN ENGINEERING, 2023, 281
  • [3] Mathematical modelling and simulation of wind turbine generator
    Ding, Yi-Tao
    [J]. International Journal of Mechatronics and Applied Mechanics, 2018, 2018 (04): : 166 - 169
  • [4] Modelling of wind turbine wake using large eddy simulation
    Sedaghatizadeh, Nima
    Arjomandi, Maziar
    Kelso, Richard
    Cazzolato, Benjamin
    Ghayesh, Mergen H.
    [J]. RENEWABLE ENERGY, 2018, 115 : 1166 - 1176
  • [5] CFD Wake Modelling with a BEM Wind Turbine Sub-Model
    Hallanger, Anders
    Sand, Ivar Oyvind
    [J]. MODELING IDENTIFICATION AND CONTROL, 2013, 34 (01) : 19 - 33
  • [6] Mathematical Modeling and Numerical Research of the Aerodynamic Wake Behind the Wind Turbine of the Ulyanovsk Wind Farm
    Kornilova, M. I.
    Khakhalev, Yu. A.
    Koval'nogov, V. N.
    Chukalin, A. V.
    Tsvetova, E. V.
    [J]. THERMAL ENGINEERING, 2023, 70 (12) : 1062 - 1072
  • [7] Mathematical Modeling and Numerical Research of the Aerodynamic Wake Behind the Wind Turbine of the Ulyanovsk Wind Farm
    M. I. Kornilova
    Yu. A. Khakhalev
    V. N. Koval’nogov
    A. V. Chukalin
    E. V. Tsvetova
    [J]. Thermal Engineering, 2023, 70 : 1062 - 1072
  • [8] Mathematical Modelling and Simulation of the DFIG-based Wind Turbine
    Wu, Yuan-Kang
    Shu, Wen-Hua
    Cheng, Hsien-Yang
    Ye, Guan-Ting
    Jiang, Dai-Chen
    [J]. 2014 CACS INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS 2014), 2014, : 57 - 62
  • [9] Mathematical modelling of wind turbine blades through volumetric view
    Vardar, Ali
    Eker, Buelent
    [J]. WIND AND STRUCTURES, 2006, 9 (06) : 493 - 503
  • [10] Wind turbine wake aerodynamics
    Vermeer, LJ
    Sorensen, JN
    Crespo, A
    [J]. PROGRESS IN AEROSPACE SCIENCES, 2003, 39 (6-7) : 467 - 510
12345