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Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine

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  • Liu, Ming
  • Tan, Lei
  • Cao, Shuliang

Abstract

Pump as Turbine (PAT) is an effective alternative of power generation for small hydropower system. Since the characteristic curves under turbine mode are not supplied by manufacturer of pumps, the theoretical model for energy performance of centrifugal turbomachinery under pump and turbine modes is proposed by means of detailed modeling of losses inside hydraulic machinery. Based on the theoretical model, a flowrate-based iteration method is proposed to determine the best efficiency point (BEP) under turbine mode. In order to validate the accuracy of established theoretical model, case studies are carried out under three centrifugal pumps, with the specific speed varied from 103 to 187, and the predicted results by theoretical model are compared with experimental measurements and numerical simulations. It is found that the average relative variations for prediction of pump head and efficiency are 6.12% and 5.51%, respectively, and they are 5.40% and 3.63% for turbine head and efficiency, which is of sufficient accuracy for engineering practice. The predicted BEP under turbine mode is also of great accuracy, with relative variation of 1.28% on average. In addition, the PAT performance as well as losses under pump and turbine modes have been analyzed in detail.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:172:y:2019:i:c:p:712-732
    DOI: 10.1016/j.energy.2019.01.162
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    References listed on IDEAS

    as
    1. Armando Carravetta & Oreste Fecarotta & Umberto Maria Golia & Michele Rocca & Riccardo Martino & Roberta Padulano & Tullio Tucciarelli, 2016. "Optimization of Osmotic Desalination Plants for Water Supply Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3965-3978, September.
    2. 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.
    3. Ming Liu & Lei Tan & Shuliang Cao, 2018. "Design Method of Controllable Blade Angle and Orthogonal Optimization of Pressure Rise for a Multiphase Pump," Energies, MDPI, vol. 11(5), pages 1-20, April.
    4. Carravetta, A. & Fecarotta, O. & Ramos, H.M., 2018. "A new low-cost installation scheme of PATs for pico-hydropower to recover energy in residential areas," Renewable Energy, Elsevier, vol. 125(C), pages 1003-1014.
    5. Chang, Jianxia & Li, Yunyun & Yuan, Meng & Wang, Yimin, 2017. "Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China," Energy, Elsevier, vol. 135(C), pages 23-31.
    6. Zheng, Tengfei & Qiang, Maoshan & Chen, Wenchao & Xia, Bingqing & Wang, Jianing, 2016. "An externality evaluation model for hydropower projects: A case study of the Three Gorges Project," Energy, Elsevier, vol. 108(C), pages 74-85.
    7. Oreste Fecarotta & Aonghus McNabola, 2017. "Optimal Location of Pump as Turbines (PATs) in Water Distribution Networks to Recover Energy and Reduce Leakage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 5043-5059, December.
    8. Hao, Yue & Tan, Lei, 2018. "Symmetrical and unsymmetrical tip clearances on cavitation performance and radial force of a mixed flow pump as turbine at pump mode," Renewable Energy, Elsevier, vol. 127(C), pages 368-376.
    9. Liu, Yabin & Tan, Lei, 2018. "Tip clearance on pressure fluctuation intensity and vortex characteristic of a mixed flow pump as turbine at pump mode," Renewable Energy, Elsevier, vol. 129(PA), pages 606-615.
    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. Yang, Sun-Sheng & Derakhshan, Shahram & Kong, Fan-Yu, 2012. "Theoretical, numerical and experimental prediction of pump as turbine performance," Renewable Energy, Elsevier, vol. 48(C), pages 507-513.
    13. Pugliese, Francesco & De Paola, Francesco & Fontana, Nicola & Giugni, Maurizio & Marini, Gustavo, 2016. "Experimental characterization of two Pumps As Turbines for hydropower generation," Renewable Energy, Elsevier, vol. 99(C), pages 180-187.
    14. Cavazzini, Giovanna & Santolin, Alberto & Pavesi, Giorgio & Ardizzon, Guido, 2016. "Accurate estimation model for small and micro hydropower plants costs in hybrid energy systems modelling," Energy, Elsevier, vol. 103(C), pages 746-757.
    15. Qian, Zhongdong & Wang, Fan & Guo, Zhiwei & Lu, Jie, 2016. "Performance evaluation of an axial-flow pump with adjustable guide vanes in turbine mode," Renewable Energy, Elsevier, vol. 99(C), pages 1146-1152.
    16. Bozorgi, A. & Javidpour, E. & Riasi, A. & Nourbakhsh, A., 2013. "Numerical and experimental study of using axial pump as turbine in Pico hydropower plants," Renewable Energy, Elsevier, vol. 53(C), pages 258-264.
    17. Mauro De Marchis & Barbara Milici & Roberto Volpe & Antonio Messineo, 2016. "Energy Saving in Water Distribution Network through Pump as Turbine Generators: Economic and Environmental Analysis," Energies, MDPI, vol. 9(11), pages 1-15, October.
    18. Barbarelli, S. & Amelio, M. & Florio, G., 2016. "Predictive model estimating the performances of centrifugal pumps used as turbines," Energy, Elsevier, vol. 107(C), pages 103-121.
    19. Turner, Sean W.D. & Hejazi, Mohamad & Kim, Son H. & Clarke, Leon & Edmonds, Jae, 2017. "Climate impacts on hydropower and consequences for global electricity supply investment needs," Energy, Elsevier, vol. 141(C), pages 2081-2090.
    20. Shen, Jianjian & Cheng, Chuntian & Cheng, Xiong & Lund, Jay R., 2016. "Coordinated operations of large-scale UHVDC hydropower and conventional hydro energies about regional power grid," Energy, Elsevier, vol. 95(C), pages 433-446.
    21. 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.
    22. Lima, Gustavo Meirelles & Luvizotto, Edevar & Brentan, Bruno M., 2017. "Selection and location of Pumps as Turbines substituting pressure reducing valves," Renewable Energy, Elsevier, vol. 109(C), pages 392-405.
    23. Su, Xianghui & Huang, Si & Zhang, Xuejiao & Yang, Sunsheng, 2016. "Numerical research on unsteady flow rate characteristics of pump as turbine," Renewable Energy, Elsevier, vol. 94(C), pages 488-495.
    24. Arriaga, Mariano, 2010. "Pump as turbine – A pico-hydro alternative in Lao People's Democratic Republic," Renewable Energy, Elsevier, vol. 35(5), pages 1109-1115.
    25. 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.
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