Comparison of Performance Base and Optimized Blades of Horizontal Axis Wind Turbine

Abstract

In this study, the results of two optimized and base blades of a horizontal axis wind turbine with aerodynamic point of view and analyze the stresses and strains are compared. The aerodynamic forces are obtained by solving the viscous flow and the optimization is done by genetic algorithm and neural network. By applying the aerodynamic loads, the stress and strain are analyzed. In order to optimization, the chord length and the twist angle of the blade at various radiuses have been calculated by BEM. The Navier Stokes equations are solved to simulate both two and three dimensional flows. The Results which are obtained from 2D Computational Fluid Dynamics (CFD) have been utilized to train a Neural Network (NN). In the process of airfoil optimization, Genetic Algorithm (GA) is coupled with trained NN to attain the best airfoil shape at each angle of the attack. First, the results of both optimized and base wing are compared then the aerodynamic forces on the blades were applied for stress analysis. The results of the analysis of the stress - strain showed that optimized wing improves the wing performance.

Keywords

• BEM, Genetic Algorithm, Neural Network, Optimization

References

1. Min-SooJeonga, Sang-Woo Kima, In Leea, Seung-Jae Yoob, K.C. Parkc, d. “ The impact of yaw error on aeroelastic characteristics of a horizontal axis wind turbine blade”. 2013.
2. Jong-Won Leea, Jun- SeongLeea, Jae-Hung Han,” Aeroelastic analysis of wind turbine blades based on modified strip theory”. 2012. Diego
3. Cárdenasa, Hugo Elizaldeb, Piergiovanni Marzoccac, Sergio Gallegos,” A coupled aeroelastic damage blades“.2012. model for wind turbine
4. Eelco Hoogedoorna, Gustaaf B. Jacobs,” Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study”, 2008. C.A. Baxevanoua, P.K. Chaviaropoulosb, S.G.
5. Voutsinasc, N.S. Vlachos,” Evaluation study of a Navier– Stokes CFD aeroelastic model of wind turbine airfoils in classical flutter”,2008.
6. B.A. Freno,,P.G.A. Cizmas,” A computationally efficient non-linear beam model”, 2011. Martin Puterbaugh, AsfawBeyene,” Parametric dependence of a morphing wind turbine blade on material elasticity”, 2011.
7. Andrea Dal Monte ,Marco RacitiCastelli , Ernesto Benini,”Multi-objective structural optimization of a HAWT composite blade”,2013.
8. Jin Chena, QuanWanga, Wen ZhongShenb, Xiaoping Panga, SonglinLi, ”Structural optimization study of composite wind turbine blade”, 2013.

9. Neil Buckney, ,Alberto Pirrera, Steven D. Green, Paul M. Weaver,”Structural efficiency of a wind turbine blade”,2013.
10. M.H. Djavareshkian, A. Latifi Bidarouni, M.R. Saber ” New Approach to High-Fidelity Aerodynamic Design Optimization of a Wind Turbine Blade” International Journal of Renewable Energy Research, Vol. 3, No. 3, pp. 725-734,2013.
11. O. C. Zienkiewicz, The Finite Element Method in Engineering Science, New York, McGraw – Hill, 1971;
12. W. Weaver, Jr. and P .R. Johnston. Finite Elements for Structural Hall,1984. Cliffs,NJ:Prentice
13. Martin H. Sadd,”theory, applications, and numerics” Burlington, MA 01803, USA ,Linacre House, Jordan Hill ,Oxford OX2 8DP, UK,2009.
14. Shigley ,Mischke , Budynas.1927 .Mechanical
15. Engineering Design. 7th.ed.