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Optimize the performance of horizontal-axis wind turbine with adapting genetic algorithm
Thesis

Optimize the performance of horizontal-axis wind turbine with adapting genetic algorithm

Chung, Kuo Wei
Masters, 國立清華大學, 動力機械工程學系
2015

Abstract

最佳化 水平軸風力發電機 基因演算法 貝茲曲線 年發電量 optimization horizontal axis wind turbine Genetic Algorithm Bezier Curve annual energy production
This study focuses on the process of wind turbine optimization and applies this process on the NREL 5MW. In the process, all of the parameterizations are done by the Bézier Curves and the 2D aerodynamic coefficients of airfoils are estimated by the XFOIL. The Tanger and Kocurek’s method is utilized to extrapolate the 2D aerodynamic coefficients. Moreover, this study also adopts the rotational stall delay correction and the drag correction to revise the 2D aerodynamic coefficients. The aerodynamics of wind turbine is simulated by FAST. This study discusses five cases. The annual energy production is served as the objective function in the process, while the control points of the twist angle distribution, the control points of chord length distribution, the control points of twist angle and chord length distribution, the control points of airfoils and control points of full geometry are served as variables separately in each case. Constraints are adopted to limit the geometry of airfoils, the shape of the blade and the structural strength of the blade. The result shows that all cases successfully increase their AEP. after the process executes. The greatest enhancement is 2.49% in the case which uses control points of full geometry as variables.

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