Aerodynamic optimization of horizontal axis wind turbine blades by using CST method, BEM theory and genetic algorithm

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2019
Oğuz, Keriman
In this thesis, an aerodynamic design and optimization study for rotor airfoils and blades of Horizontal Axis Wind Turbines (HAWTs) is performed by using different airfoil representations and genetic algorithm. Two airfoil representations, the Class-Shape Transformation (CST) method and the Parametric Section (PARSEC) method, are used for the airfoil geometry designs. Their aerodynamic data is obtained by a potential flow solver software, XFOIL. The Blade Element Momentum (BEM) theory is used to calculate the rotor power production. Genetic Algorithm (GA) is used to optimize the airfoils, chord length and twist angle along the blade span for maximum rotor power production objective. For selected rotors, the validation cases are performed. The design and optimization studies and the calculations of the aerodynamic performance characteristics are compared with the selected test wind turbine data available in the literature. By using the optimized airfoil profiles, new blades are designed, analyzed and their aerodynamic performance enhancements are examined.

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Citation Formats
K. Oğuz, “Aerodynamic optimization of horizontal axis wind turbine blades by using CST method, BEM theory and genetic algorithm,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Aerospace Engineering., Middle East Technical University, 2019.