A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines
AbstractUnder 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
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.
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(3):301.Chicago/Turabian Style
Zhang, Baoshou; Song, Baowei; Mao, Zhaoyong; Tian, Wenlong; Li, Boyang; Li, Bo. 2017. "A Novel Parametric Modeling Method and Optimal Design for Savonius Wind Turbines." Energies 10, no. 3: 301.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.