Evolving aerodynamic airfoils for wind turbines through a genetic algorithm

Nowadays, genetic algorithms stand out for airfoil optimisation, due to the virtues of mutation and crossing-over techniques. In this work we propose a genetic algorithm with arithmetic crossover rules. The optimisation criteria are taken to be the maximisation of both aerodynamic efficiency and lif...

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Bibliographic Details
Published in:Journal of physics. Conference series 2017-01, Vol.792 (1), p.12079
Main Authors: Hernández, J J, Gómez, E, Grageda, J I, Couder, C, Solís, A, Hanotel, C L, Ledesma, JI
Format: Article
Language:English
Subjects:
Aerodynamic coefficients
Aerodynamics
Airfoils
Drag coefficients
Fluid flow
Genetic algorithms
Optimization
Physics
Reynolds number
Wind turbines
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Summary:Nowadays, genetic algorithms stand out for airfoil optimisation, due to the virtues of mutation and crossing-over techniques. In this work we propose a genetic algorithm with arithmetic crossover rules. The optimisation criteria are taken to be the maximisation of both aerodynamic efficiency and lift coefficient, while minimising drag coefficient. Such algorithm shows greatly improvements in computational costs, as well as a high performance by obtaining optimised airfoils for Mexico City's specific wind conditions from generic wind turbines designed for higher Reynolds numbers, in few iterations.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/792/1/012079