• DocumentCode
    2596385
  • Title

    The method of large-scale wind turbine blades design based on MATLAB programming

  • Author

    Guo, Tingting ; Wu, Dianwen ; Xu, Jihui ; Li, Shaohua

  • Author_Institution
    Dept. of Energy & Mech. Eng., Northeast Dianli Univ., Jilin, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Considering the loss of tip and hub, the 1.2 MW wind turbine blades are optimum designed by using the WILSON method which based on BEM theory. Through selecting the NACA44timestimes series airfoils, calculating the string length, twist angle and other parameters by using MATLAB programming, and then giving an optimization method for the design of the three-dimensional twist blade. The aerodynamic characteristics of the blade are validated by CFD, after that we obtained the variation of relative velocity vectors and static pressure on different section. The results show that the power coefficient reaches the maximum values of 0.38 at the tip speed ratio. On condition of many cross-sections, complex variable and pre-curved of the blade, MATLAB could meet the requirement of the optimal design. Moreover, it could simplify the structure of program, improve the accuracy of the parameters and the efficiency of the earlier design.
  • Keywords
    boundary-elements methods; wind turbines; BEM theory; MATLAB programming; WILSON method; aerodynamic characteristics; large-scale wind turbine blades; power 1.2 MW; power coefficient; string length; twist angle; Aerodynamics; Automotive components; Blades; Design methodology; Large-scale systems; MATLAB; Mathematical model; Power generation; Wind energy; Wind turbines; MATLAB; blade element; grip; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5347871
  • Filename
    5347871