Wind Turbine Wake Characterization for Improvement of the Ainslie Eddy Viscosity Wake Model

被引:10
|
作者
Kim, Hyungyu [1 ]
Kim, Kwansu [1 ]
Bottasso, Carlo Luigi [2 ]
Campagnolo, Filippo [2 ]
Paek, Insu [3 ]
机构
[1] Kangwon Natl Univ, Dept Adv Mech Engn, Chuncheon Si 24341, South Korea
[2] Tech Univ Munich, Wind Energy Inst, D-85748 Munich, Germany
[3] Kangwon Natl Univ, Div Mech & Biomed Mechatron & Mat Sci & Engn, Chuncheon Si 24341, South Korea
关键词
kinematic wake model; field wake model; wind tunnel test; wake model modification; FARM; POWER; OPTIMIZATION; COEFFICIENT; ALGORITHM; DESIGN;
D O I
10.3390/en11102823
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
This paper presents a modified version of the Ainslie eddy viscosity wake model and its accuracy by comparing it with selected exiting wake models and wind tunnel test results. The wind tunnel test was performed using a 1.9 m rotor diameter wind turbine model operating at a tip speed ratio similar to that of modern megawatt wind turbines. The control algorithms for blade pitch and generator torque used for below and above rated wind speed regions similar to those for multi-MW wind turbines were applied to the scaled wind turbine model. In order to characterize the influence of the wind turbine operating conditions on the wake, the wind turbine model was tested in both below and above rated wind speed regions at which the thrust coefficients of the rotor varied. The correction of the Ainslie eddy viscosity wake model was made by modifying the empirical equation of the original model using the wind tunnel test results with the Nelder-Mead simplex method for function minimization. The wake prediction accuracy of the modified wake model in terms of wind speed deficit was found to be improved by up to 6% compared to that of the original model. Comparisons with other existing wake models are also made in detail.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Evolution of eddy viscosity in the wake of a wind turbine
    Scott, Ryan
    Martinez-Tossas, Luis
    Bossuyt, Juliaan
    Hamilton, Nicholas
    Cal, Raul B.
    [J]. WIND ENERGY SCIENCE, 2023, 8 (03) : 449 - 463
  • [2] A Novel Wind Turbine Wake Steering Model Employing the Ainslie Velocity Deficit
    Bernard, V
    Santos Pereira, R. B.
    Benard, P.
    [J]. SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5, 2020, 1618
  • [3] Contribution to improved eddy-viscosity modeling of the wind turbine - to - wake interactions
    Hennen, Joep
    Kenjeres, Sasa
    [J]. INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2017, 68 : 319 - 336
  • [4] A stochastic wind turbine wake model based on new metrics for wake characterization
    Doubrawa, Paula
    Barthelmie, Rebecca J.
    Wang, Hui
    Churchfield, Matthew J.
    [J]. WIND ENERGY, 2017, 20 (03) : 449 - 463
  • [5] Wake to wake interaction of floating wind turbine models in free pitch motion: An eddy viscosity and mixing length approach
    Rockel, Stanislav
    Peinke, Joachim
    Hoelling, Michael
    Cal, Raul Bayoan
    [J]. RENEWABLE ENERGY, 2016, 85 : 666 - 676
  • [6] Wind Turbine Wake Characterization with Nacelle-Mounted Wind Lidars for Analytical Wake Model Validation
    Fuertes, Fernando Carbajo
    Markfort, Corey D.
    Porte-Agel, Fernando
    [J]. REMOTE SENSING, 2018, 10 (05):
  • [7] Large eddy simulation of the wind turbine wake characteristics in the numerical wind tunnel model
    Mo, Jang-Oh
    Choudhry, Amanullah
    Arjomandi, Maziar
    Lee, Young-Ho
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2013, 112 : 11 - 24
  • [8] Validation of the Eddy Viscosity and Lange Wake Models using Measured Wake Flow Characteristics Behind a Large Wind Turbine Rotor
    Jeon, Sang Hyeon
    Go, Young Jun
    Kim, Bum Suk
    Huh, Jong Chul
    [J]. TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2016, 40 (01) : 21 - 29
  • [9] Characterization of a wind turbine model for wake aerodynamics studies.
    Cuzzola, Francesco
    Aubrun, Sandrine
    Leitl, Bernd
    [J]. SCIENCE OF MAKING TORQUE FROM WIND 2012, 2014, 555
  • [10] Experiments in the wind turbine far wake for the evaluation of an analytical wake model
    Garcia, Luis
    Vatn, Mari
    Muhle, Franz
    Saetran, Lars
    [J]. WAKE CONFERENCE 2017, 2017, 854