The FX, DU, and NACA 64 series airfoils are thick airfoils widely used for wind turbine blade applications. They have several advantages in meeting the intrinsic requirements for wind turbines in terms of design point, off-design capabilities, and structural properties. This study employs a multi-objective genetic algorithm for shape optimization of FX, DU, and NACA 64 series airfoils to achieve two objectives, namely, the generation of both maximum lift and maximum lift-to-drag ratio. A commercially available computational fluid dynamics software package is employed for calculation of the flowfield using the Reynolds-averaged Navier–Stokes equations in conjunction with a turbulence model. It is shown that the multi-objective genetic algorithm can generate superior airfoils compared to the original airfoils.


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    Title :

    Optimization of Wind Turbine Blade Airfoils Using a Multi-Objective Genetic Algorithm


    Contributors:

    Published in:

    Journal of Aircraft ; 50 , 2 ; 519-527


    Publication date :

    2012-11-07


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    OPTIMIZATION OF FLATBACK AIRFOILS FOR WIND TURBINE BLADES USING A MULTI-OBJECTIVE GENETIC ALGORITHM

    Chen, X. / Agarwal, R. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2012


    Optimization of FX, DU and NACA Airfoils for Wind Turbine Blades Using a Multi-Objective Genetic Algorithm

    Chen, X. / Agarwal, R. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2013