Geometric Optimization of Savonius Vertical-Axis Wind Turbines Using Full Factorial Design and Response Surface Methodology

This study presents the geometric optimization of a Savonius-type VAWT with multi-element blade profiles using a full factorial design integrated with RSM. Two crucial geometric parameters, the blade twist angle (γ) and the aspect ratio (AR), were systematically varied to assess their influence on the power coefficient (Cp). Experimental measurements were performed in a controlled wind tunnel environment, and a second-order regression equation was used to model the resulting data. The optimization approach identified the combination of γ and AR that maximized Cp. The optimal configuration was achieved with a γ of 30° and an AR of 2.0, for which the experimentally measured power coefficient (Cp) reached a value of 0.2326. The results confirm that lower twist angles and higher aspect ratios enhance aerodynamic efficiency, reduce manufacturing complexity, and improve structural reliability. These findings highlight the potential of Savonius turbines as competitive solutions for small-scale energy harvesting in low-wind-speed environments. Moreover, the identified optimal configuration provides a basis for future work that focuses on scaling the design, integrating power transmission and electrical generation components, and validating performance under real operating conditions.

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Publication Details

Journal
Sci
Published
2025-11-02
DOI
https://doi.org/10.3390/sci7040154
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
4.99
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article

Geometric Optimization of Savonius Vertical-Axis Wind Turbines Using Full Factorial Design and Response Surface Methodology

Edwin Chica, Ainhoa Rubio-Clemente, Andrés F. Saldarriaga Saldarriaga, Laura Velásquez et al.
1 citations
Sci
Wind Energy Research and Development
4.99
article

Geometric Optimization of Savonius Vertical-Axis Wind Turbines Using Full Factorial Design and Response Surface Methodology

Edwin Chica, Ainhoa Rubio-Clemente, Andrés F. Saldarriaga Saldarriaga, Laura Velásquez, Juan Rengifo
article en
1 citations

Abstract

This study presents the geometric optimization of a Savonius-type VAWT with multi-element blade profiles using a full factorial design integrated with RSM. Two crucial geometric parameters, the blade twist angle (γ) and the aspect ratio (AR), were systematically varied to assess their influence on the power coefficient (Cp). Experimental measurements were performed in a controlled wind tunnel environment, and a second-order regression equation was used to model the resulting data. The optimization approach identified the combination of γ and AR that maximized Cp. The optimal configuration was achieved with a γ of 30° and an AR of 2.0, for which the experimentally measured power coefficient (Cp) reached a value of 0.2326. The results confirm that lower twist angles and higher aspect ratios enhance aerodynamic efficiency, reduce manufacturing complexity, and improve structural reliability. These findings highlight the potential of Savonius turbines as competitive solutions for small-scale energy harvesting in low-wind-speed environments. Moreover, the identified optimal configuration provides a basis for future work that focuses on scaling the design, integrating power transmission and electrical generation components, and validating performance under real operating conditions.

SciVol. 7(4)
Universidad de Antioquia (CO)
Openalex Percentile: Top 4%
Wind Energy Research and Development
4.99
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