Multi-objective optimization and fuzzy evaluation of a horizontal axis wind turbine composite blade

The aerodynamic and structural coupling optimization of a 1.5 MW wind turbine blade is conducted based on the multi-objective genetic algorithm NSGA-II. Through the optimization of the chord lengths, the twist angles, and the number of laminating, an optimal solution set is obtained, in which the bl...

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Veröffentlicht in:	Journal of renewable and sustainable energy 2015-11, Vol.7 (6)
Hauptverfasser:	Gao, Qiang, Cai, Xin, Zhu, Jie, Guo, Xingwen
Format:	Artikel
Sprache:	eng
Schlagworte:	Design optimization Genetic algorithms Horizontal Axis Wind Turbines Laminating Multiple objective analysis Turbine blades Wind turbines Working conditions
Online-Zugang:	Volltext
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