A novel hybrid approach for high-efficiency and low-load airfoil design for H-type vertical axis wind turbines

The bionic approach enables the rapid excellent design, avoiding the complexity and time-consuming traditional optimization processes. To swiftly develop a high-efficiency airfoil suitable for vertical axis wind turbines (VAWTs), this study designs a novel dolphin-average airfoil (Dol-Ave airfoil) inspired by the streamlined profile of the Dall's porpoise's head. Furthermore, considering the challenges in aligning biologically inspired designs with practical engineering requirements, the Archive-based Micro Genetic Algorithm (AMGA) is adopted to refine the Dol-Ave airfoil contours by targeting high energy capture efficiency and low load. The combination of bio-inspired method and numerical optimization is referred to as the hybrid optimization method. The results of numerical simulations and comparative verification show the following: (1) When tip-speed ratio(TSR) is 0.5, compared to National Advisory Committee for Aeronautics (NACA) 0018 airfoil, the power coefficient of the Dol-Ave airfoil increases by 52.66%. However, under the high tip-speed ratio conditions, no improvement in wind energy utilization is observed. (2) The optimized airfoil (Dol-Ave opt) achieves power coefficient optimization across the full tip-speed ratio range. Compared to NACA 0018, when TSR = 0.5, the power coefficient of the Dol-Ave opt airfoil increases by 30.01%; when TSR = 1.2, the increase is 8.16%. (3) Both the Dol-Ave airfoil and the Dol-Ave opt airfoil show improvements in lateral thrust load. The bio-inspired airfoil design method and the hybrid design approach proposed in this study offer valuable insights for airfoil design.

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Publication Details

Journal
Physics of Fluids
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0255566
Citations
4
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
19.97

Funders

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article

A novel hybrid approach for high-efficiency and low-load airfoil design for H-type vertical axis wind turbines

Ying Wang, Shengxian Huang, E. Y. K. Ng, Behdad Moghtaderi et al.
4 citations
Physics of Fluids
Wind Energy Research and Development
19.97
article

A novel hybrid approach for high-efficiency and low-load airfoil design for H-type vertical axis wind turbines

Ying Wang, Shengxian Huang, E. Y. K. Ng, Behdad Moghtaderi, Chun Li, Yongxing Zhang
article en
4 citations

Abstract

The bionic approach enables the rapid excellent design, avoiding the complexity and time-consuming traditional optimization processes. To swiftly develop a high-efficiency airfoil suitable for vertical axis wind turbines (VAWTs), this study designs a novel dolphin-average airfoil (Dol-Ave airfoil) inspired by the streamlined profile of the Dall's porpoise's head. Furthermore, considering the challenges in aligning biologically inspired designs with practical engineering requirements, the Archive-based Micro Genetic Algorithm (AMGA) is adopted to refine the Dol-Ave airfoil contours by targeting high energy capture efficiency and low load. The combination of bio-inspired method and numerical optimization is referred to as the hybrid optimization method. The results of numerical simulations and comparative verification show the following: (1) When tip-speed ratio(TSR) is 0.5, compared to National Advisory Committee for Aeronautics (NACA) 0018 airfoil, the power coefficient of the Dol-Ave airfoil increases by 52.66%. However, under the high tip-speed ratio conditions, no improvement in wind energy utilization is observed. (2) The optimized airfoil (Dol-Ave opt) achieves power coefficient optimization across the full tip-speed ratio range. Compared to NACA 0018, when TSR = 0.5, the power coefficient of the Dol-Ave opt airfoil increases by 30.01%; when TSR = 1.2, the increase is 8.16%. (3) Both the Dol-Ave airfoil and the Dol-Ave opt airfoil show improvements in lateral thrust load. The bio-inspired airfoil design method and the hybrid design approach proposed in this study offer valuable insights for airfoil design.

Physics of FluidsVol. 37(3)
University of Shanghai for Science and Technology (CN), Nanyang Technological University (SG), China University of Petroleum, Beijing (CN), Shanghai University of Electric Power (CN), University of Newcastle Australia (AU)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Wind Energy Research and Development
19.97
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