Optimal design of Savonius wind turbine blade based on support vector regression surrogate model and modified flower pollination algorithm

Jia, Rongyuan; Xia, Huaijie; Zhang, Song; Su, Weiguang; Xu, Shuming

doi:10.1016/j.enconman.2022.116247

Cited by 17 publications

(2 citation statements)

References 39 publications

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“…Based on the genetic algorithm, Chan et al [23] optimized the blade shape of the Savonius wind turbine with conventional semi-circular blades to further improve the power coefficient. Jia et al [24] optimized the Savonius wind turbine blade shape based on a support vector regression agent model and an improved flower pollination algorithm. The optimized wind turbine has a better ability to catch wind than the conventional semicircular blade turbine.…”

Section: E Pmentioning

confidence: 99%

Optimization of Blade Geometry of Savonius Hydrokinetic Turbine Based on Genetic Algorithm

Lu,

Zhang,

Guang

et al. 2023

ENERGY

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Savonius hydrokinetic turbine is a kind of turbine set which is suitable for low-velocity conditions. Unlike conventional turbines, Savonius turbines employ S-shaped blades and have simple internal structures. Therefore, there is a large space for optimizing the blade geometry. In this study, computational fluid dynamics (CFD) numerical simulation and genetic algorithm (GA) were used for the optimal design. The optimization strategies and methods were determined by comparing the results calculated by CFD with the experimental results. The weighted objective function was constructed with the maximum power coefficient C p and the high-power coefficient range R under multiple working conditions. GA helps to find the optimal individual of the objective function. Compared the optimal scheme with the initial scheme, the overlap ratio β increased from 0.2 to 0.202, and the clearance ratio ε increased from 0 to 0.179, the blade circumferential angle γ increased from 0°to 27°, the blade shape extended more towards the spindle. The overall power of Savonius turbines was maintained at a high level over 22%, R also increased from 0.73 to 1.02. In comparison with the initial scheme, the energy loss of the optimal scheme at high blade tip speed is greatly reduced, and this reduction is closely related to the optimization of blade geometry. As R becomes larger, Savonius turbines can adapt to the overall working conditions and meet the needs of its work in low flow rate conditions. The results of this paper can be used as a reference for the hydrodynamic optimization of Savonius turbine runners.

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Section: E Pmentioning

confidence: 99%

Optimization of Blade Geometry of Savonius Hydrokinetic Turbine Based on Genetic Algorithm

Lu,

Zhang,

Guang

et al. 2023

ENERGY

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“…In addition, the maintenance and assembly of this type are easier, since the gearbox and generator are located at ground level. These important features have inspired a great deal of research with the aim of improving the effectiveness of these wind turbines [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Floating System with a Savonius Rotor as a Horizontal-Axis Wind Turbine

Grzelak,

Carrillo,

Nakielski

et al. 2024

Polish Maritime Research

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In this project, an innovative wind turbine was designed for a floating plant. A large Savonius rotor was replaced with a double-rotor wind turbine implemented as a horizontal-axis turbine. This double rotor was positioned on the tip of a thrust plate and fixed to the deck of a catamaran. Simple 2D numerical simulations were performed to confirm the effectiveness of the concept. An analysis of the floating system configuration was carried out, and the loads and stresses on the system components were verified. Next, floating supports with appropriate sizes were selected to counteract the forces on the wind turbine system. Finally, an anchoring system with full rotational freedom was selected for the floating platform. The present work was conducted as part of a Master’s thesis.

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Aerodynamic shape optimization of gas turbines: a deep learning surrogate model approach

Esfahanian,

Izadi,

Bashi

et al. 2023

Struct Multidisc Optim

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Optimal design of Savonius wind turbine blade based on support vector regression surrogate model and modified flower pollination algorithm

Cited by 17 publications

References 39 publications

Optimization of Blade Geometry of Savonius Hydrokinetic Turbine Based on Genetic Algorithm

Optimization of Blade Geometry of Savonius Hydrokinetic Turbine Based on Genetic Algorithm

An Innovative Floating System with a Savonius Rotor as a Horizontal-Axis Wind Turbine

Aerodynamic shape optimization of gas turbines: a deep learning surrogate model approach

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