OPTIMAL DESIGN OF VERTICAL AXIS WIND TURBINE SPECIAL AIRFOIL BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM

Zhang Qiang; Miao Weipao; Liu Qingsong; Chang Linsen; Li Chun; Zhang Wanfu

doi:10.19912/j.0254-0096.tynxb.2021-0610

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (4) : 9-16. DOI: 10.19912/j.0254-0096.tynxb.2021-0610

OPTIMAL DESIGN OF VERTICAL AXIS WIND TURBINE SPECIAL AIRFOIL BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM

Zhang Qiang¹, Miao Weipao¹, Liu Qingsong¹, Chang Linsen¹, Li Chun^1,2, Zhang Wanfu^1,2

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Abstract

In order to improve the comprehensive aerodynamic performance of vertical axis wind airfoil, an airfoil optimization design method for multiple operating conditions was established. The CST parameterization method is used to characterize airfoil geometry shape. Through optimizing the Latin hypercube sampling method for space sampling, CFD method is used to calculate airfoil aerodynamic force, and establish the radial basis function (RBF) neural network surrogate model. Taking the optimal of airfoil lift under the small angle of attack and lift-to-drag ratio under small angle of attack as the optimal design target, adopts the multi-objective genetic algorithm optimization on the surrogate model, so as to obtain suitable dedicated airfoil for vertical axis wind turbines to improve its rotation torque under different tip speed ratios. Through optimization of the common airfoil NACA0018 for wind turbine, the results show that the lift coefficient and lift to drag ratio of a single airfoil are not only improved by taking the small angle of attack and the maximum angle of attack of lift to drag ratio as the optimization objectives, but also the torque coefficient of the whole airfoil can be improved when the optimized airfoil is applied to the vertical axis wind turbine.

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vertical axis wind turbines / CST parameterization / surrogate model / optimization design

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Zhang Qiang, Miao Weipao, Liu Qingsong, Chang Linsen, Li Chun, Zhang Wanfu. OPTIMAL DESIGN OF VERTICAL AXIS WIND TURBINE SPECIAL AIRFOIL BASED ON MULTI-OBJECTIVE GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(4): 9-16 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0610

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