IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v268y2023ics0360544223000713.html
   My bibliography  Save this article

Optimization of a centrifugal pump to improve hydraulic efficiency and reduce hydro-induced vibration

Author

Listed:
  • Zhang, Liwen
  • Wang, Xin
  • Wu, Peng
  • Huang, Bin
  • Wu, Dazhuan

Abstract

To improve hydraulic efficiency and reduce hydro-induced vibration of centrifugal pump, this paper proposes an optimization method based on Kriging surrogate model and optimal searching algorithm (NSGA-II) with a validated numerical simulation. The distributions of blade thickness and blade angles on the hub and shroud surface along streamwise are controlled by spline curves with several points. In order to improve the efficiency of optimization process, a steady indicator is introduced to characterize the intensity of unsteady pressure pulsation and numerical simulation of four group pumps are conducted to verify its reliability. Optimization results show that the hydraulic efficiency is increased by 4.19% and the pressure pulsation amplitude at blade passing frequency (fBPF) is significantly reduced at design condition after optimization, which is ultimately reflected in a 62.59% reduction in vibration acceleration at fBPF. Besides, the internal flow analysis is conducted to illustrate the effects of impeller modification. Results show that the unsteady flow structure in the pump is reduced due to the blade profile optimization, which ultimately leads to the high comprehensive performance.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000713
    DOI: 10.1016/j.energy.2023.126677
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223000713
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.126677?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bozorgasareh, Hamidreza & Khalesi, Javad & Jafari, Mohammad & Gazori, Heshmat Olah, 2021. "Performance improvement of mixed-flow centrifugal pumps with new impeller shrouds: Numerical and experimental investigations," Renewable Energy, Elsevier, vol. 163(C), pages 635-648.
    2. Wu, Chengshuo & Pu, Kexin & Li, Changqin & Wu, Peng & Huang, Bin & Wu, Dazhuan, 2022. "Blade redesign based on secondary flow suppression to improve energy efficiency of a centrifugal pump," Energy, Elsevier, vol. 246(C).
    3. Lin, Yanpi & Li, Xiaojun & Zhu, Zuchao & Wang, Xunming & Lin, Tong & Cao, Haibin, 2022. "An energy consumption improvement method for centrifugal pump based on bionic optimization of blade trailing edge," Energy, Elsevier, vol. 246(C).
    4. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    5. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    6. 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).
    7. 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).
    8. Sonawat, Arihant & Kim, Sung & Ma, Sang-Bum & Kim, Seung-Jun & Lee, Ju Beak & Yu, Myo Suk & Kim, Jin-Hyuk, 2022. "Investigation of unsteady pressure fluctuations and methods for its suppression for a double suction centrifugal pump," Energy, Elsevier, vol. 252(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tomasz Siwulski, 2023. "Experimental Tests on the Influence of Accumulated Pressure Energy on the Response Time of a Hydraulic Cylinder under External Load Actuated in a Classic and Distributed System Structure," Energies, MDPI, vol. 16(23), pages 1-12, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernández Oro, J.M. & Barrio Perotti, R. & Galdo Vega, M. & González, J., 2023. "Effect of the radial gap size on the deterministic flow in a centrifugal pump due to impeller-tongue interactions," Energy, Elsevier, vol. 278(PA).
    2. 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.
    3. Chengshuo Wu & Jun Yang & Shuai Yang & Peng Wu & Bin Huang & Dazhuan Wu, 2023. "A Review of Fluid-Induced Excitations in Centrifugal Pumps," Mathematics, MDPI, vol. 11(4), pages 1-20, February.
    4. Huican Luo & Peijian Zhou & Lingfeng Shu & Jiegang Mou & Haisheng Zheng & Chenglong Jiang & Yantian Wang, 2022. "Energy Performance Curves Prediction of Centrifugal Pumps Based on Constrained PSO-SVR Model," Energies, MDPI, vol. 15(9), pages 1-19, May.
    5. Chen, Weisheng & Li, Yaojun & Liu, Zhuqing & Hong, Yiping, 2023. "Understanding of energy conversion and losses in a centrifugal pump impeller," Energy, Elsevier, vol. 263(PB).
    6. Tong Lin & Jian Li & Baofei Xie & Jianrong Zhang & Zuchao Zhu & Hui Yang & Xiaoming Wen, 2022. "Vortex-Pressure Fluctuation Interaction in the Outlet Duct of Centrifugal Pump as Turbines (PATs)," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    7. Gupta, Pankaj & Mittal, Garima & Mehlawat, Mukesh Kumar, 2013. "Expected value multiobjective portfolio rebalancing model with fuzzy parameters," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 190-203.
    8. Weifan Zhong & Lijing Du, 2023. "Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    9. Wenqiang Zhou & Peijian Zhou & Chun Xiang & Yang Wang & Jiegang Mou & Jiayi Cui, 2023. "A Review of Bionic Structures in Control of Aerodynamic Noise of Centrifugal Fans," Energies, MDPI, vol. 16(11), pages 1-24, May.
    10. Zhang, Yue & Zhang, Qi & Farnoosh, Arash & Chen, Siyuan & Li, Yan, 2019. "GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles," Energy, Elsevier, vol. 169(C), pages 844-853.
    11. J. Octavio Gutierrez-Garcia & Kwang Mong Sim, 2012. "GA-based cloud resource estimation for agent-based execution of bag-of-tasks applications," Information Systems Frontiers, Springer, vol. 14(4), pages 925-951, September.
    12. Johnson, Hilary A. & Simon, Kevin P. & Slocum, Alexander H., 2021. "Data analytics and pump control in a wastewater treatment plant," Applied Energy, Elsevier, vol. 299(C).
    13. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    14. Hausken, Kjell & Levitin, Gregory, 2009. "Minmax defense strategy for complex multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 577-587.
    15. Qin, Yonglin & Li, Deyou & Wang, Hongjie & Liu, Zhansheng & Wei, Xianzhu & Wang, Xiaohang, 2022. "Multi-objective optimization design on high pressure side of a pump-turbine runner with high efficiency," Renewable Energy, Elsevier, vol. 190(C), pages 103-120.
    16. Diaz, Cesar & Ruiz, Fredy & Patino, Diego, 2017. "Modeling and control of water booster pressure systems as flexible loads for demand response," Applied Energy, Elsevier, vol. 204(C), pages 106-116.
    17. Xu, Wei & Chen, Genglin & Shi, Huijin & Zhang, Pengcheng & Chen, Xuemei, 2023. "Research on operational characteristics of coal power centrifugal fans at off-design working conditions based on flap-angle adjustment," Energy, Elsevier, vol. 284(C).
    18. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    19. Alarcon-Rodriguez, Arturo & Ault, Graham & Galloway, Stuart, 2010. "Multi-objective planning of distributed energy resources: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1353-1366, June.
    20. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:268:y:2023:i:c:s0360544223000713. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.