• DocumentCode
    2127470
  • Title

    Wind turbine rotor modelling using response surface methodology

  • Author

    Sinopoli, Lucas ; Ordonez, Martin ; Quaicoe, John E.

  • Author_Institution
    Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, NL, Canada
  • fYear
    2010
  • fDate
    2-5 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The power generated by wind turbine rotors is difficult to model due to their nonlinear dependency on mechanical characteristics, wind velocity, and loading condition. This paper demonstrates how statistical Design of Experiment (DoE) methodology can be employed to model and characterize the behavior of a wind turbine rotor. Central Composite Design (CCD) is used to obtain the parametric metamodel of the power coefficient of a sample rotor in the neighborhood of its maximum value. As a result, the model describes and predicts the power coefficient values in a response surface as a function of pitch angle and tip speed ratio. The methodology is extended to a greater number of factors/variables to model the mechanical power extracted by the rotor and to demonstrate the advantages of CCD in modeling this type of system.
  • Keywords
    design of experiments; response surface methodology; rotors; wind turbines; DoE methodology; central composite design; loading condition; mechanical characteristics; mechanical power; nonlinear dependency; parametric metamodel; pitch angle; power coefficient value; power generation; response surface methodology; statistical design of experiment; tip speed; wind turbine rotor modelling; wind velocity; Biological system modeling; Charge coupled devices; Response surface methodology; Rotors; Shafts; Wind speed; Wind turbines; Design of experiments; power coefficient; wind power generation; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2010 23rd Canadian Conference on
  • Conference_Location
    Calgary, AB
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-5376-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2010.5575133
  • Filename
    5575133