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Energies 2015, 8(8), 7915-7929; doi:10.3390/en8087915

Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes

1
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China
2
Southeast National Marine Renewable Energy Center, Florida Atlantic University, Boca Raton, FL 33431, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 15 June 2015 / Revised: 13 July 2015 / Accepted: 15 July 2015 / Published: 30 July 2015
(This article belongs to the Collection Wind Turbines)
View Full-Text   |   Download PDF [1922 KB, uploaded 30 July 2015]   |  

Abstract

The Savonius wind turbine is a type of vertical axis wind turbine (VAWTs) that is simply composed of two or three arc-type blades which can generate power even under poor wind conditions. A modified Savonius wind turbine with novel blade shapes is introduced with the aim of increasing the power coefficient of the turbine. The effect of blade fullness, which is a main shape parameter of the blade, on the power production of a two-bladed Savonius wind turbine is investigated using transient computational fluid dynamics (CFD). Simulations are based on the Reynolds Averaged Navier-Stokes (RANS) equations with a renormalization group turbulent model. This numerical method is validated with existing experimental data and then utilized to quantify the performance of design variants. Results quantify the relationship between blade fullness and turbine performance with a blade fullness of 1 resulting in the highest coefficient of power, 0.2573. This power coefficient is 10.98% higher than a conventional Savonius turbine. View Full-Text
Keywords: vertical axis wind turbine; Savonius; Myring Equation; computational fluid dynamics (CFD) vertical axis wind turbine; Savonius; Myring Equation; computational fluid dynamics (CFD)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tian, W.; Song, B.; VanZwieten, J.H.; Pyakurel, P. Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes. Energies 2015, 8, 7915-7929.

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