Aerodynamic Design Optimization of Axis Wind Turbine Using Genetic Algorithm

Abstract

This paper proposes a new approach for aerodynamic design optimization of wind turbines is developed by using Genetic Algorithm. Objective
function is maximum power production subject to given wind speed, a rotational speed, a number of blades and a blade radius. We use the data from
the literature which are designed or used in wind turbine applications. The airfoils with common geometrical characteristics are grouped as airfoil
families in the dataset. We consider optimization variables as a fixed number of sectional airfoil profiles, chord lengths, and twist angles along the
blade span. By using this approach the power production is improved by 50 to 70 percent.