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Abstract:

A new type of MBC impellerr with a guide vane slot structure was proposed to improve the energy capture and wave reduction efficiency of Savonius-type(S-type) impeller. A multi-objective optimization algorithm combined BP neural network, NSGA-Ⅱ, numerical simulation and experimental test was used to optimize five parameters of the MBC impeller including overlap ratio, gap ratio, internal and external arc angle, internal arc radius, and guide vane size. The performance of the optimal MBC impeller was compared with that of the S-type and MB-type impellers. The results show that the prediction error of the relevant performance values is less than 10% compared to the actual values, verifying the good performance of the established prediction model. The obtained optimal parameters are: overlap ratio of 0.136, gap ratio of 0.003, internal and external arc angle of 5.23°, internal arc radius of 41.42 mm, and guide vane size of 2.83 mm. Compared with the traditional S-type impeller, the optimal MBC impeller has increased energy capture efficiency by 35.8% and wave reduction efficiency by 11%.

References

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[2] STORTI B A,DORELLA J J,ROMAN N D,et al.Improving the efficiency of a Savonius wind turbine by designing a set of deflector plates with a metamodel-based optimization approach[J].Energy,2019,186:115814.

[3] ZHANG Y C,KANG C,JI Y G,et al.Experimental and numerical investigation of flow patterns and performance of a modified Savonius hydrokinetic rotor[J].Renewable energy,2019,141:1067-1079.

[4] TIAN W,MAO Z,ZHANG B,et al.Shape optimization of a Savonius wind rotor with different convex and concave sides[J].Renewable energy,2018,117:287-299.

[5] 梅媛,李其朋,陈岁繁,等.S型水轮机水动力性能研究[J].水电能源科学,2022,40(1):180-183.

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Basic Information:

DOI:10.20040/j.cnki.1000-7709.2023.20230416

China Classification Code:TV734

Citation Information:

[1]YANG Zhuang-zhuang,SONG Rui-yin,LIU Bo-yu ,et al.Multi-objective Optimization of A New Savonius-type Impeller Parameters with Slots[J].Water Resources and Power,2023,41(12):203-206.DOI:10.20040/j.cnki.1000-7709.2023.20230416.

Fund Information:

国家自然科学基金项目(52001276); 浙江省“领雁”重大专项研发项目(2023C03122)

Received:  

2023-03-20

Received Year:  

2023

Accepted:  

2023-04-12

Accepted Year:  

2023

Revised:  

2023-11-08

Review Duration(Year):  

1

Published:  

2023-11-30

Publication Date:  

2023-11-30

Online:  

2023-11-30

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