A Genetic Algorithm based Method for the Airfoil Optimization of a Tactical Blended-Wing-Body UAV *

S827 wind turbine airfoil was considered as original airfoil, which was created by NREL. Linear perturbation methods were used to get new shape parameters of wind turbine airfoil. Optimization of original airfoil was carried out based on genetic algorithm and XFOIL software, which was used to get aerodynamic performance. Results shows that the lift-drag radio of optimized airfoil was remarkable improved under multiple working conditions. Aerodynamic performance of optimized airfoil was much better comparing with the original airfoil. The optimal design method for wind turbine airfoil used in this paper can be used to optimization design of high lift-drag ratio wind turbine airfoil. Engineering practical value is considered by this method and it is feasible and efficient through example.

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Low Reynolds number airfoil optimization for wind turbine applications using genetic algorithm

Journal of Renewable and Sustainable Energy ◽

10.1063/1.4822037 ◽

2013 ◽

Vol 5 (5) ◽

pp. 052007 ◽

Cited By ~ 13

Author(s):

Krishnil R. Ram ◽

Sunil Lal ◽

M. Rafiuddin Ahmed

Keyword(s):

Genetic Algorithm ◽

Reynolds Number ◽

Wind Turbine ◽

Low Reynolds Number ◽

Airfoil Optimization ◽

Low Reynolds ◽

Low Reynolds Number Airfoil

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Research of Airfoil Optimization Based on CST Method and Genetic Algorithm

Journal of Physics Conference Series ◽

10.1088/1742-6596/2006/1/012062 ◽

2021 ◽

Vol 2006 (1) ◽

pp. 012062

Author(s):

Jing Zhang ◽

Chang Chen ◽

Wenjie Si ◽

Xudong Chai ◽

Yan Hong ◽

...

Keyword(s):

Genetic Algorithm ◽

Airfoil Optimization

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Airfoil Optimization for Small Wind Turbines Using Multi Objective Genetic Algorithm

Volume 7: Fluids and Heat Transfer, Parts A, B, C, and D ◽

10.1115/imece2012-88788 ◽

2012 ◽

Cited By ~ 1

Author(s):

Krishnil R. Ram ◽

Sunil Lal ◽

M. Rafiuddin Ahmed

Keyword(s):

Genetic Algorithm ◽

Wind Turbines ◽

Lift Coefficient ◽

Geometric Constraints ◽

Control Points ◽

Airfoil Optimization ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Small Wind Turbines ◽

Horizontal Axis Wind Turbines

Small wind turbines are gaining popularity due to their ability to meet community or domestic needs in isolated areas with relatively easier installation and lower cost than large wind turbines. This study looks at optimizing airfoils for use in small horizontal axis wind turbines. The optimization looks to maximize the lift coefficient (Cl) while minimizing or fixing the drag coefficient (Cd). To satisfy these two objectives a multi–objective genetic algorithm is used. The airfoil is parameterized using a composite Bezier curve with two Bezier segments and 11 control points. Appropriate curvature conditions are implemented at the leading and trailing edge of the airfoil and geometric constraints are applied to maintain the maximum thickness between 8% to 14% of the chord for structural reasons. An existing genetic algorithm (GA) code is modified in C++ to generate suitable airfoils using the 13 control points and pass the coordinates to a solver for analysis. As a result four new airfoils are generated for application in low Reynolds number (Re) flow. The characteristics and suitability of the four airfoils are discussed while comparing them to the popular SG6043 airfoil.

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