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Optimal design and performance improvement of an electric submersible pump impeller based on Taguchi approach

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  • Bai, Ling
  • Yang, Yang
  • Zhou, Ling
  • Li, Yuanzhe
  • Xiao, Yu
  • Shi, Weidong

Abstract

Electric submersible pump (ESP) is the core artificial lift equipment to pump production oil from underground or deep sea to the surface. Its energy efficiency significantly affects global oil market and energy consumption. To explore the effects of the impeller meridian profile on the hydraulic performance, a typical multi-stage ESP with medium specific speed was taken as the research object. Based on the statically determinate control of the shroud and hub profiles, eight parameters of the impeller meridian profile were selected as the key factors. By taking head and efficiency as optimization targets, 27 schemes were designed according to the Taguchi approach. The effect analysis method was employed to determine the primary and secondary order of the parameters. The linear relationship between the meridional parameters and the optimization target was analyzed based on regression analysis. The results show that the design of the intersection line of the front and rear shrouds in the impeller meridian has great effects on the ESP performance. The optimal model shows a significant improvement on both of efficiency and head compared with the original model. The head increases 3.5% and the efficiency increases 6.1%. This study provides new inspiration to optimize the hydraulic design of ESPs to achieve higher efficiency and lower energy consuming.

Suggested Citation

  • Bai, Ling & Yang, Yang & Zhou, Ling & Li, Yuanzhe & Xiao, Yu & Shi, Weidong, 2022. "Optimal design and performance improvement of an electric submersible pump impeller based on Taguchi approach," Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009355
    DOI: 10.1016/j.energy.2022.124032
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    References listed on IDEAS

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    1. Yang, Yang & Zhou, Ling & Hang, Jianwei & Du, Danyang & Shi, Weidong & He, Zhaoming, 2021. "Energy characteristics and optimal design of diffuser meridian in an electrical submersible pump," Renewable Energy, Elsevier, vol. 167(C), pages 718-727.
    2. Vidoza, Jorge A. & Andreasen, Jesper Graa & Haglind, Fredrik & dos Reis, Max M.L. & Gallo, Waldyr, 2019. "Design and optimization of power hubs for Brazilian off-shore oil production units," Energy, Elsevier, vol. 176(C), pages 656-666.
    3. Azadeh, A. & Tarverdian, S., 2007. "Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption," Energy Policy, Elsevier, vol. 35(10), pages 5229-5241, October.
    4. Zhang, Yuquan & Zang, Wei & Zheng, Jinhai & Cappietti, Lorenzo & Zhang, Jisheng & Zheng, Yuan & Fernandez-Rodriguez, E., 2021. "The influence of waves propagating with the current on the wake of a tidal stream turbine," Applied Energy, Elsevier, vol. 290(C).
    5. Huang, Renfang & Zhang, Zhen & Zhang, Wei & Mou, Jiegang & Zhou, Peijian & Wang, Yiwei, 2020. "Energy performance prediction of the centrifugal pumps by using a hybrid neural network," Energy, Elsevier, vol. 213(C).
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    Cited by:

    1. Zhang, Liwen & Wang, Xin & Wu, Peng & Huang, Bin & Wu, Dazhuan, 2023. "Optimization of a centrifugal pump to improve hydraulic efficiency and reduce hydro-induced vibration," Energy, Elsevier, vol. 268(C).
    2. Yang, Yang & Wang, Hui & Wang, Chuan & Zhou, Ling & Ji, Leilei & Yang, Yongfei & Shi, Weidong & Agarwal, Ramesh K., 2024. "An entropy efficiency model and its application to energy performance analysis of a multi-stage electric submersible pump," Energy, Elsevier, vol. 288(C).
    3. Danyang Du & Yong Han & Yu Xiao & Lu Yang & Xuanwei Shi, 2022. "The Effects of Meridian Surface Shape on the Pressure Pulsation of a Multi-Stage Electric Submersible Pump," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    4. Federico Fontana & Massimo Masi, 2023. "A Hybrid Experimental-Numerical Method to Support the Design of Multistage Pumps," Energies, MDPI, vol. 16(12), pages 1-20, June.

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