Evolving aerodynamic airfoils for wind turbines through a genetic algorithm

被引：2

作者：

Hernandez, J. J. ^{[1
]}

Gomez, E. ^{[2
]}

Grageda, J. I. ^{[1
]}

Couder, C. ^{[1
]}

Solis, A. ^{[1
]}

Hanotel, C. L. ^{[3
]}

Ledesma, J. I. ^{[2
]}

机构：

[1] Inst Politecn Nacl, Ctr Desarrollo Aeroespacial, Belisario Dominguez 22, Ciudad De Mexico 06610, Mexico

[2] Univ Nacl Autonoma Mexico, Fac Ciencias, Ciudad Univ, Ciudad De Mexico 04510, Mexico

[3] Univ Nacl Autonoma Mexico, Inst Ciencias Nucl, Apdo Postal 70-543, Ciudad De Mexico 04510, Mexico

来源：

VIII INTERNATIONAL CONGRESS OF ENGINEERING PHYSICS | 2017年 / 792卷

关键词：

OPTIMIZATION; DRIVEN;

D O I：

10.1088/1742-6596/792/1/012079

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：5

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