VAWT optimization using genetic algorithm and CST airfoil parameterization

Abstract

Darrieus type vertical axis wind turbine (VAWT) is optimized using the genetic algorithm (GA). The airfoil shape is parameterized using the Class-Shape Transformation (CST) method. The double multiple stream tube (DMST) method with the Gormont dynamic stall modification is used for the calculation of the VAWT performance parameters. Once the numerical codes are validated using availible experimental results, the airfoil parameters are varied as to achieve the optimum value of the genetic algorithm fitness function.