Blade optimization design of Savonius hydraulic turbine based on radial basis function surrogate model and L-SHADE algorithm

Ji, Xiao Bin; Lu, Xuliang; Li, Hongxu; Ma, Penglei; Xu, Shuming

doi:10.1016/j.oceaneng.2023.115620

Cited by 4 publications

(1 citation statement)

References 36 publications

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“…This adaptation showcased the algorithm's dexterity in addressing complex, real-world challenges [35]. Additionally, the interplay between L-SHADE and surrogate modeling became evident in the design optimization of Savonius hydraulic turbines, underlining L-SHADE's potential when combined with other computational methods [36]. These breakthroughs provide a robust foundation for our current investigation, which aspires to augment LSHADE's optimization efficacy even further.…”

Section: Introductionmentioning

confidence: 83%

L-SHADE-MA: Enhancing L-SHADE with Momentum and Adaptive Decay Coefficient

Zhang,

Hu,

Zhu

et al. 2024

Preprint

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L-SHADE represents a modified form of the Differential Evolution (DE) algorithm, blending Linear Population Size Reduction (LPSR) with SHADE, the Success-History-Based Adaptation of DE. While acknowledged for its effectiveness, L-SHADE occasionally tends toward local optima and may converge too soon, especially during complex optimization challenges. Addressing these challenges, we introduce L-SHADE-MA, an advanced L-SHADE iteration employing a momentum-based mutation strategy. This approach minimizes oscillatory tendencies during searches, promoting quicker convergence and enhanced solution accuracy. Additionally, an adaptive decay coefficient, rooted in success-history, is integrated. It dynamically adjusts the balance of historical data and momentum in mutations, optimizing exploration and exploitation for each generation. This accelerates convergence and fosters population diversity. For a holistic assessment, L-SHADE-M is also presented, which adopts the momentum approach but omits the adaptive coefficient. To ascertain L-SHADE-MA’s effectiveness, it was tested on CEC2014 benchmark functions in two distinct dimensions. Performance comparisons spanned L-SHADE-M and seven other algorithms across 30 numerical functions in 50 and 100 dimensions. Empirical results unequivocally validate L-SHADE-MA’s enhancements over L-SHADE, confirming its dominance in most tested scenarios.

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Section: Introductionmentioning

confidence: 83%

L-SHADE-MA: Enhancing L-SHADE with Momentum and Adaptive Decay Coefficient

Zhang,

Hu,

Zhu

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Inflatable Savonius wind turbine with rapid deployment and retrieval capability: Structure design and performance investigation

Lin,

Yang,

Niu

et al. 2024

Energy Conversion and Management

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Installing new additional blades arrangement for improving Savonius rotor performance

Nasef,

Asaad Awad,

EL-Askary

2024

Wind Engineering

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Savonius rotor is a vertical axis wind rotor that has a good attention due to its lower fabrication cost and receives air from any direction. In the present computational work, various arrangements will be introduced for the blades of Savonius rotor with the aim of improving the performance. Two-dimensional simulations are performed using ANSYS with the presence of the SST k-ω as a suitable turbulence model to analyze the flow around the rotor. The computational results include 12 different arrangements namely rotor 1 to rotor 12. The difference between all the studied rotors is the arrangement of an additional shape to the original blade of Savonius rotor. The addition of a flipper with a radius of curvature equivalent to 1.73 of the radius of the blade generates the best performance with an improvement of 38.5% in the power coefficient compared to the traditional rotor. The best design (known as case 1) has a pair of blades with a distance of 15% of the blade radius, which improves the performance by 28.3% compared to the traditional rotor.

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Blade optimization design of Savonius hydraulic turbine based on radial basis function surrogate model and L-SHADE algorithm

Cited by 4 publications

References 36 publications

L-SHADE-MA: Enhancing L-SHADE with Momentum and Adaptive Decay Coefficient

L-SHADE-MA: Enhancing L-SHADE with Momentum and Adaptive Decay Coefficient

Inflatable Savonius wind turbine with rapid deployment and retrieval capability: Structure design and performance investigation

Installing new additional blades arrangement for improving Savonius rotor performance

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