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Energies 2017, 10(3), 301; doi:10.3390/en10030301

A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines

1
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
2
College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, Shandong, China
3
Marine Engineering Department, Qingdao Ocean Shipping Mariners College, Qingdao 266071, Shandong, China
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 27 November 2016 / Accepted: 28 February 2017 / Published: 3 March 2017
(This article belongs to the Special Issue Wind Turbine 2017)

Abstract

Under the inspiration of polar coordinates, a novel parametric modeling and optimization method for Savonius wind turbines was proposed to obtain the highest power output, in which a quadratic polynomial curve was bent to describe a blade. Only two design parameters are needed for the shape-complicated blade. Therefore, this novel method reduces sampling scale. A series of transient simulations was run to get the optimal performance coefficient (power coefficient C p) for different modified turbines based on computational fluid dynamics (CFD) method. Then, a global response surface model and a more precise local response surface model were created according to Kriging Method. These models defined the relationship between optimization objective Cp and design parameters. Particle swarm optimization (PSO) algorithm was applied to find the optimal design based on these response surface models. Finally, the optimal Savonius blade shaped like a “hook” was obtained. Cm (torque coefficient), Cp and flow structure were compared for the optimal design and the classical design. The results demonstrate that the optimal Savonius turbine has excellent comprehensive performance. The power coefficient Cp is significantly increased from 0.247 to 0.262 (6% higher). The weight of the optimal blade is reduced by 17.9%. View Full-Text
Keywords: Savonius wind turbine; parametric model; polar coordinates; computational fluid dynamics (CFD); Kriging method; particle swarm optimization (PSO) Savonius wind turbine; parametric model; polar coordinates; computational fluid dynamics (CFD); Kriging method; particle swarm optimization (PSO)
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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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Zhang, B.; Song, B.; Mao, Z.; Tian, W.; Li, B.; Li, B. A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines. Energies 2017, 10, 301.

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