Numerical Study of the Flow Around Twin Straight-Bladed Darrieus Hydrokinetic Turbines

Nowadays, the potential of hydrokinetic turbines as a sustainable alternative to complement traditional hydropower is widely recognized. This study presents a comprehensive numerical analysis of twin straight-bladed Darrieus hydrokinetic turbines, characterizing their hydrodynamic interactions and performance characteristics. The influence of turbine configuration spacing and flow parameters on efficiency and wake dynamics are investigated. The employed 3D computational approach combines the overset mesh technique, used to capture the unsteady flow around the turbines, with the URANS k-ω Shear Stress Transport (SST) turbulence model. Results show that turbine spacing improves power coefficients and overall efficiency, albeit at the cost of slower wake recovery. A noticeable performance increase is observed when the turbines are spaced between 1.5 and 2 diameters apart, which is predicted to reach up to 40% regarding the single turbine. Furthermore, the effect of flow interaction between the turbines is examined by analyzing the influence of turbine spacing on flow structures as well as pressure and skin friction coefficients on the blades. The performed analysis reveals that vortex detachment is delayed in the twin-turbine configuration compared to the isolated case, which partially explains the observed performance enhancement. The insights gained from this work are expected to contribute to the advancement of renewable hydrokinetic energy technologies.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-10-11
DOI
https://doi.org/10.3390/jmse13101947
Primary Topic
Wind Energy Research and Development
Type
article
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article

Numerical Study of the Flow Around Twin Straight-Bladed Darrieus Hydrokinetic Turbines

Santiago Laı́n, Pablo Ouro, Aldo Benavides, Miguel Viveros Mira
Journal of Marine Science and Engineering
Wind Energy Research and Development
article

Numerical Study of the Flow Around Twin Straight-Bladed Darrieus Hydrokinetic Turbines

Santiago Laı́n, Pablo Ouro, Aldo Benavides, Miguel Viveros Mira
article en

Abstract

Nowadays, the potential of hydrokinetic turbines as a sustainable alternative to complement traditional hydropower is widely recognized. This study presents a comprehensive numerical analysis of twin straight-bladed Darrieus hydrokinetic turbines, characterizing their hydrodynamic interactions and performance characteristics. The influence of turbine configuration spacing and flow parameters on efficiency and wake dynamics are investigated. The employed 3D computational approach combines the overset mesh technique, used to capture the unsteady flow around the turbines, with the URANS k-ω Shear Stress Transport (SST) turbulence model. Results show that turbine spacing improves power coefficients and overall efficiency, albeit at the cost of slower wake recovery. A noticeable performance increase is observed when the turbines are spaced between 1.5 and 2 diameters apart, which is predicted to reach up to 40% regarding the single turbine. Furthermore, the effect of flow interaction between the turbines is examined by analyzing the influence of turbine spacing on flow structures as well as pressure and skin friction coefficients on the blades. The performed analysis reveals that vortex detachment is delayed in the twin-turbine configuration compared to the isolated case, which partially explains the observed performance enhancement. The insights gained from this work are expected to contribute to the advancement of renewable hydrokinetic energy technologies.

Journal of Marine Science and EngineeringVol. 13(10)
Centro de Supercomputación de Galicia (ES), University of Manchester (GB), Universidad Nacional de Colombia (CO), Universidad Autónoma de Occidente (CO)
Openalex Percentile: Top 61%
Wind Energy Research and Development
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Numerical Study of the Flow Around Twin Straight-Bladed Darrieus Hydrokinetic Turbines — Santiago Laı́n, Pablo Ouro, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS