A Parametric Study on the Effect of Blade Configuration in a Double-Stage Savonius Hydrokinetic Turbine

Ocean energy represents a promising resource for renewable energy generation. Hydrokinetic turbines (HKTs) provide a sustainable method to extract energy from ocean currents. However, turbine efficiency remains limited, particularly in marine environments with low flow velocities. A parametric evaluation of blade configurations is conducted in this study to assess their effect on the power and torque performance of a double-stage drag-based Savonius HKT. Numerical simulations are conducted using the Unsteady Reynolds-Averaged Navier-Stokes (URANS) equations with the k-ω SST turbulence model. The numerical model is validated against published data, and analyses on mesh density, domain size, and time step are performed to ensure accuracy. Three blade configurations—(0°, 0°), (0°, 45°), and (0°, 90°) are evaluated under flow velocities of 0.6 m/s, 0.8 m/s, and 1.0 m/s. Results indicate that blade configuration significantly affects turbine performance. The (0°, 0°) configuration performs best at high flow velocity (1.0 m/s), while the (0°, 45°) setup achieves the highest efficiency at 0.6 m/s. The (0°, 90°) configuration performs the least effectively across all conditions. A similar performance trend is observed for the torque coefficient. This study recommends selecting blade configurations based on flow velocity, providing design guidance for double-stage HKTs operating in varying marine conditions.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-04-27
DOI
https://doi.org/10.3390/jmse13050868
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
4.99

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article

A Parametric Study on the Effect of Blade Configuration in a Double-Stage Savonius Hydrokinetic Turbine

Muk Chen Ong, Cheng Yee Ng, Xiang Ying Tham, Novi Fairindah Tingkas
1 citations
Journal of Marine Science and Engineering
Wind Energy Research and Development
4.99
article

A Parametric Study on the Effect of Blade Configuration in a Double-Stage Savonius Hydrokinetic Turbine

Muk Chen Ong, Cheng Yee Ng, Xiang Ying Tham, Novi Fairindah Tingkas
article en
1 citations

Abstract

Ocean energy represents a promising resource for renewable energy generation. Hydrokinetic turbines (HKTs) provide a sustainable method to extract energy from ocean currents. However, turbine efficiency remains limited, particularly in marine environments with low flow velocities. A parametric evaluation of blade configurations is conducted in this study to assess their effect on the power and torque performance of a double-stage drag-based Savonius HKT. Numerical simulations are conducted using the Unsteady Reynolds-Averaged Navier-Stokes (URANS) equations with the k-ω SST turbulence model. The numerical model is validated against published data, and analyses on mesh density, domain size, and time step are performed to ensure accuracy. Three blade configurations—(0°, 0°), (0°, 45°), and (0°, 90°) are evaluated under flow velocities of 0.6 m/s, 0.8 m/s, and 1.0 m/s. Results indicate that blade configuration significantly affects turbine performance. The (0°, 0°) configuration performs best at high flow velocity (1.0 m/s), while the (0°, 45°) setup achieves the highest efficiency at 0.6 m/s. The (0°, 90°) configuration performs the least effectively across all conditions. A similar performance trend is observed for the torque coefficient. This study recommends selecting blade configurations based on flow velocity, providing design guidance for double-stage HKTs operating in varying marine conditions.

Journal of Marine Science and EngineeringVol. 13(5)
Universiti Teknologi Petronas (MY), University of Stavanger (NO)
Universitetet i Stavanger, Universiti Teknologi Petronas, Yayasan UTP
Openalex Percentile: Top 6%
Wind Energy Research and Development
4.99
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A Parametric Study on the Effect of Blade Configuration in a Double-Stage Savonius Hydrokinetic Turbine — Muk Chen Ong, Cheng Yee Ng, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS