2010
DOI: 10.1063/1.3464913
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Study on the performance of helical savonius rotor for wave energy conversion

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Cited by 7 publications
(7 citation statements)
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“…Since the formation of the waves is time dependent and unsteady, a transient simulation was performed using the k-ϵ turbulence model. The use of the same model for wave simulation has been reported in some previous works [15,[17][18][19]. This model is able to capture the turbulence accurately.…”
Section: Methodsmentioning
confidence: 82%
“…Since the formation of the waves is time dependent and unsteady, a transient simulation was performed using the k-ϵ turbulence model. The use of the same model for wave simulation has been reported in some previous works [15,[17][18][19]. This model is able to capture the turbulence accurately.…”
Section: Methodsmentioning
confidence: 82%
“…They found that the maximum power coefficient of 0.426 is obtained at flow velocity of 2 m/s. Further, Zullaha et al (2010) studied on three bladed helical Savonius rotors. Their obtained results indicate that the helical Savonius rotor models are suitable to analyze the water flows in the turbine.…”
Section: --mentioning
confidence: 99%
“…They found that the best performance has been obtained from curtain position of 60°. Zullaha et al (2010) elaborate the current research at studying the performance of submerged Savonius turbine for wave energy extraction from the oscillating water column. The CFD simulations show the potential of the twisted Savonius blades in terms of smooth running, higher efficiency and self-starting capability as compared to that of the conventional Savonius rotor.…”
Section: Review On Cfd Analysismentioning
confidence: 99%
“…Based on the work of (Salazar Marin and Rodrguez, 2019), the sheet thickness was set at 2mm. Using two-dimensional transient simulations, (Alipour et al, 2020;Tian et al, 2015) examined performance enhancement through a parabolic and Myring Equation-inspired blade design, respectively, while (Zullah et al, 2010;Gruber et al, 2012) evaluated a helical and humpback whale-inspired blade design, respectively, using the ANSYS-CFX code. This study provides a unique optimization approach for optimising DDTT blade design and energy output, presenting preliminary results to help engineers make informed decisions when choosing from an extensive variety of computational techniques.…”
Section: Introductionmentioning
confidence: 99%