• DocumentCode
    3238186
  • Title

    Automatic Aerodynamic Design of a Wind Turbine through Evolutionary Techniques

  • Author

    Casás, V. Díaz ; Pena, F. Lopez ; Duro, R.J. ; Lamas, A.

  • Author_Institution
    Grupo de Ing. de Fluidos, Univ. of Coruna, Coruna
  • fYear
    2005
  • fDate
    5-7 Sept. 2005
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    The aerodynamic design of wind turbine blades is carried out by means of evolutionary techniques within an automatic design environment. A simple, fast, and robust aerodynamic simulator is embedded in the design environment to predict the performance of any turbine blade produced as an intermediate individual of the evolutionary process. The aerodynamic simulator is based on blade element theory in which a panel method is combined with an integral boundary layer code to calculate the blade airfoils´ characteristics. In order to reduce computations some simplifications have been applied and the results corrected by means of the application of neural network based approximations. Results of the simulations obtained using this technique, of the application of the automatic design procedure and of the operation of the wind turbines thus obtained are presented.
  • Keywords
    blades; evolutionary computation; mechanical engineering computing; neural nets; wind turbines; aerodynamic simulator; automatic aerodynamic design; automatic design environment; blade element theory; evolutionary techniques; integral boundary layer code; neural network based approximations; wind turbine blades; Aerodynamics; Automotive components; Blades; Computational modeling; Computer networks; Integral equations; Neural networks; Predictive models; Robustness; Wind turbines; Automatic Design; Evolutionary Techniques; Wind Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
  • Conference_Location
    Sofia
  • Print_ISBN
    0-7803-9445-3
  • Electronic_ISBN
    0-7803-9446-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2005.283023
  • Filename
    4062174