Optimizacija vetroturbine sa vertikalnom osom upotrebom genetskih algoritama i CST parametrizacijom aeroprofila

Toni Ivanov,Aleksandar Simonović,Jelena Svorcan,Ognjen Peković

doi:10.5937/fmet1701026i

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 available experimental results, the airfoil parameters are varied as to achieve the optimum value of the genetic algorithm fitness function.

Highlights

The Darrieus type vertical axis wind turbine (VAWT) are a safe, inexpensive solution for off-grid power generation
The search for the optimal solution via the genetic algorithm for the 3 control points optimization is shown in Figure 6.The search is represented through the mean and best results for the fitness function during different generations of solutions
It was shown that using a coupled optimization technique, a Darrieus type vertical wind turbine aerodynamic characteristics can be improved with modification of the airfoils geometry

Summary

INTRODUCTION

The Darrieus type VAWT are a safe, inexpensive solution for off-grid power generation Their construction and maintenance are relatively simple, they work with lower rotational speeds and blade stresses than the HAWT and can be placed closer to the ground. In order to maximise VAWT torque and efficiency researchers increasingly use different optimization algorithms and methods. Ferreira et al [2] used 2D unsteady panel method for the performance and the genetic algorithm for optimization. One of the more popular ones is the freeware XFOIL software developed by MIT [11,12] This software will be used for obtaining the airfoils aerodynamic characteristics in this paper. Kulfan’s CST method provides a very good approximation for WT airfoils using small number of control points and is increasingly used by researchers

CST parameterization

Genetic Algorithm

ANALYSIS

RESULTS

CONCLUSION