Comparison of Shape Optimization Techniques Coupled with Genetic Algorithm for a Wind Turbine Airfoil


IEEE Aerospace Conference, Montana, United States Of America, 5 - 12 March 2016 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/aero.2016.7500867
  • City: Montana
  • Country: United States Of America
  • Anadolu University Affiliated: Yes


Airfoil optimization is an important subject for wind turbines in order to increase the flow efficiency along the blade sections. The first important subject for airfoil shape optimization is the mathematical description of airfoil or its parametrical form. This subject directly effects computational cost of the optimization process and general efficiency of the airfoil. In this study, NACA 2411 airfoil has been optimized by a genetic algorithm coupled with an airfoil analysis software. Geometry of the airfoil is represented by two different airfoil shape parameterization techniques namely; PARSEC method (parametric section) and CST method (class/shape function transformation).