Optimal design method for wind turbine airfoil based on artificial neural network model and genetic algorithm

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 29, Issue 20, 2009, Pages 106-111

  Ju, Ya Ping ^a   Zhang, Chu Hua ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Genetic algorithm; Neural network; Optimal design; Parameterized model; Wind turbine airfoil

Indexed keywords

BACKPROPAGATION; COMPUTATIONAL FLUID DYNAMICS; DESIGN; DRAG; ENGINES; GAS DYNAMICS; GENETIC ALGORITHMS; LIFT; NEURAL NETWORKS; OPTIMAL SYSTEMS; OPTIMIZATION; WIND POWER; WIND TURBINES;

AERODYNAMIC DESIGNS; AERODYNAMIC PARAMETERS; AERODYNAMIC PERFORMANCE; AIRFOIL PROFILE; ARTIFICIAL NEURAL NETWORK MODELS; BEZIER CURVE; COMPUTATIONAL FLUID DYNAMICS METHODS; DESIGN SPACES; EXPERIMENT METHODS; FULL FACTORIAL DESIGN; KEY PROBLEMS; LIFT DRAG RATIO; NUMERICAL SOLUTION METHOD; OPTIMAL DESIGN; OPTIMAL DESIGN METHODS; OPTIMAL METHODS; OPTIMAL PROBLEMS; PARAMETERIZED; PARAMETERIZED MODEL; WIND POWER TECHNOLOGY; WIND TURBINE AERODYNAMICS; WIND TURBINE AIRFOIL; WIND TURBINE AIRFOILS; WIND TURBINE BLADES; WORKING CONDITIONS;

AIRFOILS;

EID: 67651159048     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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