MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR BLUNT TRAILING-EDGE AIRFOIL BASED ON MULTI-ISLAND GENETIC ALGORITHM

Qin Kai; Yin Penghui; Liu Zhaofang; Huang Diangui

doi:10.19912/j.0254-0096.tynxb.2021-0253

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (9) : 218-225. DOI: 10.19912/j.0254-0096.tynxb.2021-0253

MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR BLUNT TRAILING-EDGE AIRFOIL BASED ON MULTI-ISLAND GENETIC ALGORITHM

Qin Kai, Yin Penghui, Liu Zhaofang, Huang Diangui

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Abstract

A multi-objective optimization method for blunt trailing-edge airfoil is proposed to solve the problem that large horizontal axis wind turbine has a high requirement on aerodynamic performance and structural strength of blades under complex operating conditions. A parameterization method combining Hicks-Henne type function and blunt trailing edge function is adopted to fit the blunt trailing-edge airfoil. A Matlab code is using to call XFOIL for the airfoil aerodynamic performance analysis and to calculate the objective function. Finally, based on Multi-Island Genetic Algorithm （MIGA）, a multi-objective and multi-working condition optimization process of the airfoil is integrated into the Isight platform which achieves automatic optimization. Using the above method, NACA63921 airfoil is selected as the initial airfoil for multi-objective optimization. Fluent Transition model is adapted to verify the aerodynamic performance of the optimized blunt trailing-edge airfoil and then the simulation results are compared with several common airfoils of the same thickness such as FFA, DU series. Numerical verification shows that the lift-drag ratio of the optimized blunt trailing-edge airfoil is higher than that of several common wind turbine airfoils with the same thickness under most operating conditions. In stall conditions, the flow separation of optimized airfoil is delayed which leads to more stable flow on the airfoil surface.

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wind turbines / blunt trailing-edge airfoil / optimization design / Multi-Island Genetic Algorithm

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Qin Kai, Yin Penghui, Liu Zhaofang, Huang Diangui. MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR BLUNT TRAILING-EDGE AIRFOIL BASED ON MULTI-ISLAND GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(9): 218-225 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0253

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