Turbulent kinetics of a large wind farm and their impact in the neutral boundary layer

被引:16
作者
Na, Ji Sung [1 ]
Koo, Eunmo [2 ]
Munoz-Esparza, Domingo [2 ]
Jin, Emilia Kyung [3 ]
Linn, Rodman [2 ]
Lee, Joon Sang [1 ]
机构
[1] Yonsei Univ, Dept Mech Engn, Seoul 120749, South Korea
[2] Los Alamos Natl Lab, Earth & Environm Sci, Los Alamos, NM 87545 USA
[3] KIAPS, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Large wind farm; Actuator line method; Large-eddy simulation; Regional-scale simulation; Wind farm parameterization; Neutral boundary layer; LARGE-EDDY SIMULATION; MESOSCALE; SCALE; CANOPY;
D O I
10.1016/j.energy.2015.11.040
中图分类号
O414.1 [热力学];
学科分类号
摘要
High-resolution large-eddy simulation of the flow over a large wind farm (64 wind turbines) is performed using the HIGRAD/FIRETEC-WindBlade model, which is a high-performance computing wind turbine atmosphere interaction model that uses the Lagrangian actuator line method to represent rotating turbine blades. These high-resolution large-eddy simulation results are used to parameterize the thrust and power coefficients that contain information about turbine interference effects within the wind farm. Those coefficients are then incorporated into the WRF (Weather Research and Forecasting) model in order to evaluate interference effects in larger-scale models. In the high-resolution WindBlade wind farm simulation, insufficient distance between turbines creates the interference between turbines, including significant vertical variations in momentum and turbulent intensity. The characteristics of the wake are further investigated by analyzing the distribution of the vorticity and turbulent intensity. Quadrant analysis in the turbine and post-turbine areas reveals that the ejection motion induced by the presence of the wind turbines is dominant compared to that in the other quadrants, indicating that the sweep motion is increased at the location where strong wake recovery occurs. Regional-scale WRF simulations reveal that although the turbulent mixing induced by the wind farm is partly diffused to the upper region, there is no significant change in the boundary layer depth. The velocity deficit does not appear to be very sensitive to the local distribution of turbine coefficients. However, differences of about 5% on parameterized turbulent kinetic energy were found depending on the turbine coefficient distribution. Therefore, turbine coefficients that consider interference in the wind farm should be used in wind farm parameterization for larger-scale models to better describe sub-grid scale turbulent processes. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:79 / 90
页数:12
相关论文
共 39 条
  • [1] Adams AS, 2007, AGU FALL M, V1, P08
  • [2] Large-Eddy Simulations of Air Flow and Turbulence within and around Low-Aspect-Ratio Cylindrical Open-Top Chambers
    Cunningham, Philip
    Linn, Rodman R.
    Koo, Eunmo
    Wilson, Cathy J.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2013, 52 (08) : 1716 - 1737
  • [3] Parameterization of Wind Farms in Climate Models
    Fitch, Anna C.
    Olson, Joseph B.
    Lundquist, Julie K.
    [J]. JOURNAL OF CLIMATE, 2013, 26 (17) : 6439 - 6458
  • [4] Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model
    Fitch, Anna C.
    Olson, Joseph B.
    Lundquist, Julie K.
    Dudhia, Jimy
    Gupta, Alok K.
    Michalakes, John
    Barstad, Idar
    [J]. MONTHLY WEATHER REVIEW, 2012, 140 (09) : 3017 - 3038
  • [5] Analytical modelling of wind speed deficit in large offshore wind forms
    Frandsen, S
    Barthelmie, R
    Pryor, S
    Rathmann, O
    Larsen, S
    Hojstrup, J
    Thogersen, M
    [J]. WIND ENERGY, 2006, 9 (1-2) : 39 - 53
  • [6] Jonkman J., 2009, NREL/TP-500-38060, DOI DOI 10.2172/947422
  • [7] The influence of large-scale wind power on global climate
    Keith, DW
    DeCarolis, JF
    Denkenberger, DC
    Lenschow, DH
    Malyshev, SL
    Pacala, S
    Rasch, PJ
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (46) : 16115 - 16120
  • [8] On the climate impact of surface roughness anomalies
    Kirk-Davidoff, Daniel B.
    Keith, David W.
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 2008, 65 (07) : 2215 - 2234
  • [9] Koo E, 2011, Patent, Patent No. [7,953,563, 7953563]
  • [10] Koo E, 2011, AGU FALL M, V1, P0867