Evolving aerodynamic airfoils for wind turbines through a genetic algorithm

J. J. Hernández, E. Gómez, J. I. Grageda, C. Couder, A. Solís, C. L. Hanotel, J. I. Ledesma

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Article number012079
JournalJournal of Physics: Conference Series
Volume792
Issue number1
DOIs
StatePublished - 8 Mar 2017
Event8th International Congress of Engineering Physics - Merida, Yucatan, Mexico
Duration: 7 Nov 201611 Nov 2016

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