• DocumentCode
    3163870
  • Title

    Wind velocity prediction at wind turbine hub height based on CFD model

  • Author

    Li Li ; Yimei Wang ; Yongqian Liu

  • Author_Institution
    Dept. of Renewable Energy, North China Electr. Power Univ., Beijing, China
  • Volume
    1
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    To meet the requirements of the wind power prediction of wind farms, the wind velocity at the wind turbines´ hub height were predicted in this paper, taking an actual wind farm as the example. First, many steady CFD numerical calculations were conducted to simulate the air flow field above the wind farm. Standard k-εturbulence model was adopted in the calculation. Then, taking the mesoscale NWP parameters as input data, the wind velocities were predicted by the simulated flow fields during the period of the year 2010. Compared with the measured wind velocity, the yearly mean absolute error (MAE) of predicted wind velocity for each wind turbine is less than 2m/s, and as the MAE decreases, the number of wind velocity samples increases. It shows that wind velocity prediction by this CFD method is accurate. The research in this paper may provide support for the work of wind power forecasting.
  • Keywords
    computational fluid dynamics; turbulence; wind power plants; wind turbines; CFD model; air flow field; k-ε turbulence model; mean absolute error; mesoscale NWP parameter; wind farm; wind power forecasting; wind power prediction; wind turbine hub height; wind velocity prediction; Accuracy; Computational fluid dynamics; Wind farms; Wind forecasting; Wind speed; Wind turbines; CFD numerical simulation; wind tutbine; wind velocity prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Materials for Renewable Energy and Environment (ICMREE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3335-8
  • Type

    conf

  • DOI
    10.1109/ICMREE.2013.6893695
  • Filename
    6893695