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Performance prediction of a centrifugal pump as turbine using rotor-volute matching principle

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  • Huang, Si
  • Qiu, Guangqi
  • Su, Xianghui
  • Chen, Junrong
  • Zou, Wenlang

Abstract

A large number of studies have been reported on the prediction of head and flow rate conversion factors (h and q) at the best efficiency point (BEP) between pump and turbine mode, but the theoretical and experimental correlations are usually valid only within a certain range of specific speeds for pumps. In this paper, an innovative theoretical approach is introduced to predict the flow rate and head at BEP both for pump and turbine mode, according to the principle of characteristic matching between rotor and volute. A theoretical formula of rotor characteristic in turbine mode was derived, based on Euler equation of rotomachinery and velocity relations at the inlet and the outlet of the rotor. The formulas were accordingly obtained for predicting the flow rate and head at BEP in both pump and turbine modes. The proposed method is universally effective and practical, related to the major geometry parameters of rotor and volute without restriction of performance data and statistical/empiric range in pump mode. The proposed method was verified by experimental results of three types of pumps in both pump and turbine modes and yielded more accurate results of h and q comparing to several major predicted methods.

Suggested Citation

  • Huang, Si & Qiu, Guangqi & Su, Xianghui & Chen, Junrong & Zou, Wenlang, 2017. "Performance prediction of a centrifugal pump as turbine using rotor-volute matching principle," Renewable Energy, Elsevier, vol. 108(C), pages 64-71.
    • Handle: RePEc:eee:renene:v:108:y:2017:i:c:p:64-71
    DOI: 10.1016/j.renene.2017.02.045
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    References listed on IDEAS

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    Cited by:

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    2. Tahani, Mojtaba & Kandi, Ali & Moghimi, Mahdi & Houreh, Shahram Derakhshan, 2020. "Rotational speed variation assessment of centrifugal pump-as-turbine as an energy utilization device under water distribution network condition," Energy, Elsevier, vol. 213(C).
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    11. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine," Energy, Elsevier, vol. 172(C), pages 712-732.
    12. Shojaeefard, Mohammad Hassan & Saremian, Salman, 2022. "Effects of impeller geometry modification on performance of pump as turbine in the urban water distribution network," Energy, Elsevier, vol. 255(C).
    13. Ghorani, Mohammad Mahdi & Sotoude Haghighi, Mohammad Hadi & Maleki, Ali & Riasi, Alireza, 2020. "A numerical study on mechanisms of energy dissipation in a pump as turbine (PAT) using entropy generation theory," Renewable Energy, Elsevier, vol. 162(C), pages 1036-1053.
    14. Renzi, Massimiliano & Rudolf, Pavel & Štefan, David & Nigro, Alessandra & Rossi, Mosè, 2019. "Installation of an axial Pump-as-Turbine (PaT) in a wastewater sewer of an oil refinery: A case study," Applied Energy, Elsevier, vol. 250(C), pages 665-676.
    15. Longyan Wang & Stephen Ntiri Asomani & Jianping Yuan & Desmond Appiah, 2020. "Geometrical Optimization of Pump-As-Turbine (PAT) Impellers for Enhancing Energy Efficiency with 1-D Theory," Energies, MDPI, vol. 13(16), pages 1-30, August.
    16. Renzi, Massimiliano & Nigro, Alessandra & Rossi, Mosè, 2020. "A methodology to forecast the main non-dimensional performance parameters of pumps-as-turbines (PaTs) operating at Best Efficiency Point (BEP)," Renewable Energy, Elsevier, vol. 160(C), pages 16-25.
    17. Crespo Chacón, Miguel & Rodríguez Díaz, Juan Antonio & García Morillo, Jorge & McNabola, Aonghus, 2020. "Hydropower energy recovery in irrigation networks: Validation of a methodology for flow prediction and pump as turbine selection," Renewable Energy, Elsevier, vol. 147(P1), pages 1728-1738.
    18. Nishi, Yasuyuki & Itoh, Natsumi & Fukutomi, Junichiro, 2022. "Performance and radial thrust of single-blade reverse running pump turbine," Renewable Energy, Elsevier, vol. 201(P1), pages 499-513.
    19. Lin, Tong & Zhu, Zuchao & Li, Xiaojun & Li, Jian & Lin, Yanpi, 2021. "Theoretical, experimental, and numerical methods to predict the best efficiency point of centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 168(C), pages 31-44.
    20. Jin, Yongxin & Zhang, Desheng & Song, Wenwu & Shen, Xi & Shi, Lei & Lu, Jiaxing, 2022. "Numerical study on energy conversion characteristics of molten salt pump based on energy transport theory," Energy, Elsevier, vol. 244(PA).
    21. Abdulbasit Nasir & Edessa Dribssa & Misrak Girma & Habtamu Bayera Madessa, 2023. "Selection and Performance Prediction of a Pump as a Turbine for Power Generation Applications," Energies, MDPI, vol. 16(13), pages 1-16, June.
    22. Rossi, Mosè & Renzi, Massimiliano, 2018. "A general methodology for performance prediction of pumps-as-turbines using Artificial Neural Networks," Renewable Energy, Elsevier, vol. 128(PA), pages 265-274.

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