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Performance of centrifugal pumps running in reverse as turbine: Part Ⅱ- systematic specific speed and specific diameter based performance prediction

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  • Tan, Xu
  • Engeda, Abraham

Abstract

This paper, Part II of a two part paper, presents a comprehensive correlation aimed to bring out the accurate prediction of the turbine mode operation of centrifugal pumps. This work uses experimental data of wide range of pumps representing the centrifugal pump configurations in terms of specific speed. Based on specific speed and specific diameter an accurate correlation is developed to predict the performances at best efficiency point of the centrifugal pump in its turbine mode operation. The proposed prediction method yields very good results to date compared to previous such attempts. The present method is compared to nine previous methods found in the literature. The comparison results show that the method proposed in this paper is the most accurate. The proposed method can be further complemented and supplemented by more future tests to increase its accuracy. The proposed method is meaningful because it is based on both specific speed and specific diameter.

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  • Tan, Xu & Engeda, Abraham, 2016. "Performance of centrifugal pumps running in reverse as turbine: Part Ⅱ- systematic specific speed and specific diameter based performance prediction," Renewable Energy, Elsevier, vol. 99(C), pages 188-197.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:188-197
    DOI: 10.1016/j.renene.2016.06.052
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    Cited by:

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    5. Mauro Venturini & Stefano Alvisi & Silvio Simani & Lucrezia Manservigi, 2018. "Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs)," Energies, MDPI, vol. 11(4), pages 1-17, April.
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    8. Mauro Venturini & Stefano Alvisi & Silvio Simani & Lucrezia Manservigi, 2017. "Energy Production by Means of Pumps As Turbines in Water Distribution Networks," Energies, MDPI, vol. 10(10), pages 1-13, October.
    9. Lin, Tong & Li, Xiaojun & Zhu, Zuchao & Xie, Jing & Li, Yi & Yang, Hui, 2021. "Application of enstrophy dissipation to analyze energy loss in a centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 163(C), pages 41-55.
    10. Binama, Maxime & Su, Wen-Tao & Li, Xiao-Bin & Li, Feng-Chen & Wei, Xian-Zhu & An, Shi, 2017. "Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 148-179.
    11. Wang, Tao & Wang, Chuan & Kong, Fanyu & Gou, Qiuqin & Yang, Sunsheng, 2017. "Theoretical, experimental, and numerical study of special impeller used in turbine mode of centrifugal pump as turbine," Energy, Elsevier, vol. 130(C), pages 473-485.
    12. Gabriella Balacco, 2018. "Performance Prediction of a Pump as Turbine: Sensitivity Analysis Based on Artificial Neural Networks and Evolutionary Polynomial Regression," Energies, MDPI, vol. 11(12), pages 1-17, December.
    13. 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.
    14. 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.
    15. Leguizamón, Sebastián & Avellan, François, 2020. "Computational parametric analysis of the design of cross-flow turbines under constraints," Renewable Energy, Elsevier, vol. 159(C), pages 300-311.
    16. Rossi, Mosè & Comodi, Gabriele & Piacente, Nicola & Renzi, Massimiliano, 2020. "Energy recovery in oil refineries by means of a Hydraulic Power Recovery Turbine (HPRT) handling viscous liquids," Applied Energy, Elsevier, vol. 270(C).
    17. 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.
    18. Han, Yadong & Tan, Lei, 2020. "Dynamic mode decomposition and reconstruction of tip leakage vortex in a mixed flow pump as turbine at pump mode," Renewable Energy, Elsevier, vol. 155(C), pages 725-734.
    19. Le Marre, Maël & Mandin, Philippe & Lanoisellé, Jean-Louis & Zilliox, Erik & Rammal, Farah & Kim, Myeongsub (Mike) & Inguanta, Rosalinda, 2022. "Pumps as turbines regulation study through a decision-support algorithm," Renewable Energy, Elsevier, vol. 194(C), pages 561-570.
    20. Wang, Tao & Kong, Fanyu & Xia, Bin & Bai, Yuxing & Wang, Chuan, 2017. "The method for determining blade inlet angle of special impeller using in turbine mode of centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 109(C), pages 518-528.
    21. Sonawat, Arihant & Choi, Young-Seok & Kim, Kyung Min & Kim, Jin-Hyuk, 2020. "Leakage loss estimation and parametric study on the effect of twist in rotor shape for harnessing Pico hydropower," Renewable Energy, Elsevier, vol. 151(C), pages 1240-1249.
    22. Venturini, Mauro & Manservigi, Lucrezia & Alvisi, Stefano & Simani, Silvio, 2018. "Development of a physics-based model to predict the performance of pumps as turbines," Applied Energy, Elsevier, vol. 231(C), pages 343-354.
    23. Sonawat, Arihant & Choi, Young-Seok & Kim, Kyung Min & Kim, Jin-Hyuk, 2020. "Parametric study on the sensitivity and influence of axial and radial clearance on the performance of a positive displacement hydraulic turbine," Energy, Elsevier, vol. 201(C).
    24. Stefanizzi, Michele & Capurso, Tommaso & Balacco, Gabriella & Binetti, Mario & Camporeale, Sergio Mario & Torresi, Marco, 2020. "Selection, control and techno-economic feasibility of Pumps as Turbines in Water Distribution Networks," Renewable Energy, Elsevier, vol. 162(C), pages 1292-1306.
    25. 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.

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