RESEARCH ON TIDAL STREAM TURBINE AIRFOIL DESIGN BASED ON JOUKOWSKI TRANSFORMATION

Wang Shiming; Wang Yuying; Yu Zhuoxuan; Zhao Xiuling

doi:10.19912/j.0254-0096.tynxb.2024-0950

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (10) : 23-29. DOI: 10.19912/j.0254-0096.tynxb.2024-0950

RESEARCH ON TIDAL STREAM TURBINE AIRFOIL DESIGN BASED ON JOUKOWSKI TRANSFORMATION

Wang Shiming¹, Wang Yuying¹, Yu Zhuoxuan¹, Zhao Xiuling²

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Abstract

This paper presents a hydrodynamic performance prediction method based on Joukowski transformation and Gaussian process regression for rapid airfoil design of small-scale tidal stream turbines operating in low-velocity conditions. A set of Joukowski airfoils were selected as initial profiles and fitted using CST parameterization method. The lift and drag forces under low-velocity conditions were obtained through Fluent numerical simulation. A hydrodynamic performance prediction model was established by combining lift, drag, CST parameters with Gaussian process regression based on machine learning. Experimental results show that the average error rates of lift and drag prediction models are below 0.2%, with root mean square errors less than 3%.

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tidal power / turbines / conformal mapping / CST parameterization / Gaussian process regression / airfoil design

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Wang Shiming, Wang Yuying, Yu Zhuoxuan, Zhao Xiuling. RESEARCH ON TIDAL STREAM TURBINE AIRFOIL DESIGN BASED ON JOUKOWSKI TRANSFORMATION[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 23-29 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0950

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