AERDDYNAMIC OPTIMIZATION DESIGN OF WIND TURBINE AIRFOIL BASED ON HYBRID PARAMETERIZATION AND PARTICLE SWARM ALGORITHM

Ju Hao; Wang Xudong; Lu Jiahong

doi:10.19912/j.0254-0096.tynxb.2022-0332

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 473-479. DOI: 10.19912/j.0254-0096.tynxb.2022-0332

AERDDYNAMIC OPTIMIZATION DESIGN OF WIND TURBINE AIRFOIL BASED ON HYBRID PARAMETERIZATION AND PARTICLE SWARM ALGORITHM

Ju Hao¹, Wang Xudong^1,2, Lu Jiahong¹

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Abstract

Aiming at the high dimensionality of variables in high-precision design of wind turbine airfoil, a hybrid parameterization method combining improved functional integration theory and shape function perturbation is proposed. The global optimization and local re-optimization of airfoils are achieved by serial design without increasing the design dimensions, and a hybrid optimized airfoil with the maximum relative thickness of 15% is obtained by applying the particle swarm optimization （PSO） algorithm of adaptive design space. Compared with the wind turbine airfoil Risø-A1-15 and the integrated optimized airfoil, the new airfoil has significantly enhanced aerodynamic characteristics with an average lift coefficient improvement of 38.62% and 6.48% in the main operating angle of attack range and the maximum lift-drag ratio improvement of 6.02% and 1.75%. Therefore, the feasibility of the method is verified and a new perspective is provided for the refinement of the airfoil design.

Key words

wind turbines / airfoil / functional integration / shape function perturbation / particle swarm optimization

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Ju Hao, Wang Xudong, Lu Jiahong. AERDDYNAMIC OPTIMIZATION DESIGN OF WIND TURBINE AIRFOIL BASED ON HYBRID PARAMETERIZATION AND PARTICLE SWARM ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 473-479 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0332

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