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This study focuses on improving the blade profile of the Savonius wind rotor by incorporating two distinct optimization strategies. The selected strategies, namely the simplex search method (SSM) and the non-dominated sorting genetic algorithm (NSGA-II), are employed to optimize the blade profile. The resulting profile is then simulated using ANSYS Fluent software to obtain numerical results, with performance evaluated in terms of the power coefficient (Cp). While the SSM relies on a single variable point to define the blade geometry, the NSGA-II considers three variable points. The Cp achieved through NSGA-II exceeds the maximum Cp obtained through the SSM. This finding highlights the effectiveness of the employed methodology in enhancing Cp by utilizing different optimization algorithms.

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Optimization Strategies on the Aerodynamic Design of a Savonius Wind Rotor Blade Profile

  • 会议论文

  • 发表日期：

    2025年

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  • Man Mohan,
  • Deepak Sharma,
  • Ujjwal K. Saha

摘要

This study focuses on improving the blade profile of the Savonius wind rotor by incorporating two distinct optimization strategies. The selected strategies, namely the simplex search method (SSM) and the non-dominated sorting genetic algorithm (NSGA-II), are employed to optimize the blade profile. The resulting profile is then simulated using ANSYS Fluent software to obtain numerical results, with performance evaluated in terms of the power coefficient (Cp). While the SSM relies on a single variable point to define the blade geometry, the NSGA-II considers three variable points. The Cp achieved through NSGA-II exceeds the maximum Cp obtained through the SSM. This finding highlights the effectiveness of the employed methodology in enhancing Cp by utilizing different optimization algorithms.