Optimization of Aerodynamic Parameters of an Elliptical-Bladed Savonius Wind Rotor Using Multi-Objective Genetic Algorithms

Abstract

Abstract The Savonius wind rotor, a drag-based machine, despite having lesser efficiency has got several advantages such as low price, easy installation, better starting capability independency to wind direction. In order to enhance the performance of such rotor, several design modifications have been built by changing the geometric parameters such as overlap ratio, aspect ratio, tip speed ratio, number of rotor blades and effect of shaft and end plates. Apart from the various geometric parameters, several rotor blades and augmentation techniques has evolved to improve the performance of the Savonius rotor. This has been achieved by using a host of numerical and experimental methods. In the present investigation, the multi-objective genetic algorithms have been used to optimize the incoming velocity, and the torque and lift coefficient for a novel elliptical-bladed profile for maximizing the rotor power coefficient. The multi-physics solver ANSYS direct optimization technique has been used to implement the genetic algorithms. The results obtained from the genetic algorithms have been compared with the established results under identical conditions.