TY - JOUR
T1 - Evolving aerodynamic airfoils for wind turbines through a genetic algorithm
AU - Hernández, J. J.
AU - Gómez, E.
AU - Grageda, J. I.
AU - Couder, C.
AU - Solís, A.
AU - Hanotel, C. L.
AU - Ledesma, J. I.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/3/8
Y1 - 2017/3/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85016328095&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/792/1/012079
DO - 10.1088/1742-6596/792/1/012079
M3 - Artículo de la conferencia
AN - SCOPUS:85016328095
SN - 1742-6588
VL - 792
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012079
T2 - 8th International Congress of Engineering Physics
Y2 - 7 November 2016 through 11 November 2016
ER -