• DocumentCode
    630731
  • Title

    On the predictive capabilities of LES-actuator disk model in simulating turbulence past wind turbines and farms

  • Author

    Xiaolei Yang ; Sotiropoulos, Fotis

  • Author_Institution
    Dept. of Civil Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    2878
  • Lastpage
    2883
  • Abstract
    In this paper, we validate an LES (large-eddy simulation)-actuator disk model by comparing the computed results with wind tunnel measurements for both stand-alone wind turbine case and wind farm case. In the actuator disk model, the forces are uniformly distributed. The effects of rotation and the effects of nacelle and tower are not taken into account. Dynamic subgrid scale model is employed in the LES. For the stand-alone wind turbine case, grid refinement studies with three different resolutions are performed. Discrepancies with the wind tunnel measurements are observed in the near wake locations (2D and 3D downstream). However, very good agreements with the wind tunnel measurements are obtained for further downstream locations. For the wind farm case, overall good agreements with the wind tunnel measurements are obtained for the streamwise variations of the streamwise mean velocity and the streamwise turbulence intensity at the bottom and top heights of wind turbines. Some discrepancies with the wind tunnel measurements are observed at the hub height of wind turbines.
  • Keywords
    computational fluid dynamics; flow simulation; turbulence; wakes; wind tunnels; wind turbines; LES-actuator disk model; dynamic subgrid scale model; large eddy simulation; nacelle; predictive capabilities; stand alone wind turbine case; streamwise mean velocity; streamwise turbulence intensity; tower; turbulence simulation; wind farm case; wind farms; wind tunnel measurements; Actuators; Computational modeling; Mathematical model; Numerical models; Rotors; Wind farms; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580271
  • Filename
    6580271