Aerodynamic and Aeroacoustic Optimization of Wind Turbine Blade by a Genetic Algorithm

2008 ◽  
Author(s):  
Xuan Hao ◽  
Weimin Zhang ◽  
Xiao Liu ◽  
Jieping Liu
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade

Design Optimization of Wind Turbine Using Fluid Structural Interaction Analysis and Genetic Algorithm

2014 ◽  
Author(s):  
Ganesh Ram Ramanujam Karthikeyan ◽  
Akshan Paresh Mehta ◽  
Karthikeyan Ramanujam ◽  
Kalaichelvi Venkatesan
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Interaction Analysis ◽  
Simulation Software ◽  
Wind Turbine Blade ◽  
Von Mises Stress ◽  
Optimized Design ◽  
Computational Fluid Dynamics Analysis ◽  
Von Mises

Aerodynamics of wind turbine blade is an important field of research. In the present study, a multi stage optimization process has been evaluated on a baseline wind turbine blade. Genetic Algorithms (GAs) are applied as a generative and search procedure to look for optimized design solutions in terms of aerodynamic performance of the airfoil selected for the study. The MatLab Genetic Algorithm toolbox interfaced with Xfoil, an interactive program for the design and analysis of airfoils, was implemented for the profile design optimisation. To analyse the performance of the optimized profile, the ANSYS Fluent toolbox was used to conduct the 3D computational fluid dynamics analysis of a section of the wind turbine blade before and after optimization. The total deformation and Von-Mises stress of the wind turbine blade caused due to Fluid-Structure Interaction is analysed using the ANSYS simulation software.

Aerodynamic Optimization of Variable Pitch Wind Turbine Blade Based on Adaptive Genetic Algorithm

2012 ◽  
Vol 215-216 ◽  
pp. 289-292
Author(s):  
De Tian ◽  
Guang Hua Chen ◽  
Qi Li
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Optimization Model ◽  
Global Optimum ◽  
Wind Turbine Blade ◽  
Adaptive Genetic Algorithm ◽  
Aerodynamic Optimization ◽  
Early Maturity ◽  
Variable Pitch

Take maximum power output of blade element as design target, establish a optimization model of variable pitch wind turbine blade. Using the adaptive genetic algorithm to search for to overcome the shortcomings of early maturity and poor stability, it can reach more close to the global optimum than the classical genetic algorithm. Use this method to design a 3MW variable pitch wind turbine blade, the results show that this optimization model is correct and the method is practical.

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