• DocumentCode
    1803797
  • Title

    The UAE wind turbine performance prediction using wind tunnel airfoil data

  • Author

    Zhang, Chenkai ; Hu, Jun

  • Author_Institution
    Coll. of Energy & Power, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2010
  • fDate
    5-7 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It´s vitally important for wind turbine aerodynamic performance predictions to design and optimize wind turbines. In view of the BEM method´s fast speed and widespread use, this paper applies WT_Perf software of NREL to predict the performance on a NREL Phase VI upwind wind turbine. Measurements from the Phase VI of the NREL/NASA Ames wind tunnel test were used for validating the predictions. Performance predictions will vary greatly when data selection changes. Also three-dimensional rotational stall delay should be accounted for in the predictions. The final obtained prediction methods show good agreement with the experiments. Because of their accuracy and straightforward manufacturing, derived methods can be widely used in wind turbine optimization and design of the future research.
  • Keywords
    aerodynamics; power engineering computing; wind turbines; BEM method; NREL Phase VI upwind wind turbine; NREL-NASA Ames wind tunnel test; UAE wind turbine aerodynamic performance prediction; WT_Perf software; blade element momentum method; three-dimensional rotational stall delay; wind tunnel airfoil data; wind turbine optimization; Automotive components; Blades; Delay; Mathematical model; Rotors; Wind speed; Wind turbines; BEM (Blade Element Momentum) method; NREL Phase VI wind turbine rotor; WT_PERF; stall delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Non-Grid-Connected Wind Power and Energy Conference (WNWEC), 2010
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-8920-6
  • Electronic_ISBN
    978-1-4244-8921-3
  • Type

    conf

  • DOI
    10.1109/WNWEC.2010.5673181
  • Filename
    5673181