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A multi-factor comprehensive optimization of a supercritical carbon dioxide radial inflow turbine with low specific speed

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Abstract

An integrated method combining one-dimensional design and automatic three-dimensional optimization is proposed for SCO2 radial inflow turbines with low specific speed. The optimization of the nozzle and impeller are performed simultaneously. Four optimization algorithms, namely, grey wolf optimizer, elephant herding optimization, genetic algorithm, and simulated annealing algorithm, are integrated with computational fluid dynamics simulation and finite element analysis to improve the turbine efficiency. Two constraints (mass flow variation and maximum stress) are imposed in the optimization process. The results indicate that the grey wolf optimizer is the optimal algorithm. The total-to-static efficiency of the optimal turbine is 89.56 %, which is increased by 3.25 %. Moreover, splitter blades are also investigated and optimized. The maximum total-to-static efficiency of 90.16 % can be obtained by reasonably arranging splitter blades. The proposed method is versatile, nimble, and easy to implement. It can improve the design efficiency and provide a geometric reference for low specific speed SCO2 turbines.

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Authors and Affiliations

  1. School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Jinxing Li, Dongbo Shi & Yonghui Xie

  2. MOE Key Laboratory of Thermo-Fluid Science and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Guangya Zhu

Authors
  1. Jinxing Li
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  2. Dongbo Shi
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  3. Guangya Zhu
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  4. Yonghui Xie
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Corresponding author

Correspondence to Yonghui Xie.

Additional information

Jinxing Li received his B.S. degree in School of Energy and Power Engineering at Xi’an Jiaotong University. He is currently doing his Ph.D. at Xi’an Jiaotong University. His research areas are turbine design, aerodynamic thermodynamics, and aerodynamic optimization.

Yonghui Xie is a Professor in School of Energy and Power Engineering at Xi’an Jiaotong University. His research interests are in turbine aerodynamic thermodynamics, structural strength, vibration and reliability of power equipment, and heat transfer and cooling enhancement for gas turbine blades.

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Li, J., Shi, D., Zhu, G. et al. A multi-factor comprehensive optimization of a supercritical carbon dioxide radial inflow turbine with low specific speed. J Mech Sci Technol 36, 5059–5074 (2022). https://doi.org/10.1007/s12206-022-0919-7

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  • DOI: https://doi.org/10.1007/s12206-022-0919-7

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