Enhancing Savonius Vertical Axis Wind Turbine Performance: A Comprehensive Approach with Numerical Analysis and Experimental Investigations

Kumail Abdulkareem Hadi Al-Gburi, Firas Basim Ismail Alnaimi (), Balasem Abdulameer Jabbar Al-quraishi, Ee Sann Tan and Ali Kamil Kareem
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Kumail Abdulkareem Hadi Al-Gburi: Department of Mechanical Engineering, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia
Firas Basim Ismail Alnaimi: Power Generation Unit, Institute of Power Engineering (IPE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia
Balasem Abdulameer Jabbar Al-quraishi: Engineering Technical College of Najaf, Al-Furat Al-Awsat Technical University, Najaf 31001, Iraq
Ee Sann Tan: Department of Mechanical Engineering, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia
Ali Kamil Kareem: Biomedical Engineering Department, Al-Mustaqbal University, Hillah 51001, Iraq

Energies, 2023, vol. 16, issue 10, 1-23

Abstract: Small-scale vertical-axis wind power generation technologies such as Savonius wind turbines are gaining popularity in suburban and urban settings. Although vertical-axis wind turbines ( VAWTs ) may not be as efficient as their horizontal-axis counterparts, they often present better opportunities for integration within building structures. The main issue stems from the suboptimal aerodynamic design of Savonius turbine blades, resulting in lower efficiency and power output. To address this, modern turbine designs focus on optimizing various geometric aspects of the turbine to improve aerodynamic performance, efficiency, and overall effectiveness. This study developed a unique optimization method, incorporating a new blade geometry with guide gap flow for Savonius wind turbine blade design. The aerodynamic characteristics of the Savonius wind turbine blade were extensively analyzed using 3D ANSYS CFX software. The optimization process emphasized the power coefficient as the objective function while considering blade profiles, overlap ratio, and blade number as crucial design parameters. This objective was accomplished using the design of experiments ( DOE ) method with the Minitab statistical software. The research findings revealed that the novel turbine design “ OR0.109BS2BN2 ” outperformed the reference turbine with a 22.8% higher power coefficient. Furthermore, the results indicated a trade-off between the flow (swirling flow) through the gap guide flow and the impact blockage ratio, which resulted from the reduced channel width caused by the extended blade tip length.

Keywords: Savonius wind turbine; blade optimization; CFX; design of experiments ( DOE ); power coefficient; wind tunnel (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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