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A comparative study on the reducing flow rate design method for a desalination energy recovery pump as turbine

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Abstract

The energy recovery and utilization of high-pressure brine are the key to reduce the cost. Reducing flow rate method (RFM) was put forward firstly to adapt pump as turbine (PAT) to a wide range of operating conditions in this paper. In order to validate advantages of the new method, three different designs of PAT were obtained, respectively, based on three different methods, which were, respectively, selection design method, forward curved method and RFM. Based on numerical method, the external energy characteristics, axial force and internal flow patterns of PATs were analyzed. Results show that matching of the blade inlet angle and flow angle at the blade leading edge has a great influence on the turbine flow patterns which are directly related to the efficiency of PAT. A PAT designed by the new design method RFM improves both the hydraulic efficiency and shaft power under design and partial load conditions. Moreover, the axial force of the PAT designed by RFM is reduced, which can improve the reliability of the PAT operation with high rotating speed.

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Abbreviations

BEP:

Best efficiency point

CFD:

Computational fluid dynamics

PAT:

Pump as Turbine

RO:

Reverse osmosis membrane

SDM:

Selection design method

FCM:

Forward curved method

RFM:

Reducing flow rate method

References

  1. Saifaoui D, Nachtane M, Tarfaoui M et al (2020) Heat recovery from sulfuric acid plants for seawater desalination using RO and MED systems. Applied Water Science 10(4):1–10

    Article  Google Scholar 

  2. Carravetta A, Fecarotta O, Sinagra M et al (2013) Cost-benefit analysis for hydropower production in water distribution networks by a pump as turbine[J]. J Water Resour Plan Manag 140(6):04014002

    Article  Google Scholar 

  3. Pugliese F, Paola FD, Fontana N et al (2016) Experimental characterization of two Pumps as Turbines for hydropower generation. Renew Energy 99:180–187

    Article  Google Scholar 

  4. Barbarelli S, Amelio M, Florio G (2016) Predictive model estimating the performances of centrifugal pumps used as turbines. Energy 107:103–121

    Article  Google Scholar 

  5. Doshi A, Channiwala S, Singh P (2017) Inlet impeller rounding in pumps as turbines: an experimental study to investigate the relative effects of blade and shroud rounding. Exp Thermal Fluid Sci 82:333–348

    Article  Google Scholar 

  6. Mansour TM, Ismail TM, Ramzy K, Abd El-Salam M (2020) Energy recovery system in small reverse osmosis desalination plant: experimental and theoretical investigations. Alex Eng J 59:3741–3753

    Article  Google Scholar 

  7. Jiafan L (1997) Characteristic analysis of pump turbine operation. J Agric Mach 28(3):20–24

    Google Scholar 

  8. Xiandao S (1989) Experimental study on the third quadrant performance of vane pump. Pump Technol 1:51–54

    Google Scholar 

  9. Sunsheng Y, Derakshan S, Fanyu K (2012) Theoretical, numerical and experimental prediction of pump as turbine performance. Renew Energy 48:507–513

    Article  Google Scholar 

  10. Sharma K (1985) Small hydroelertric project-use of centrefugal pumps as turbines. Kirloskar Electric Co, Bangalore, India

    Google Scholar 

  11. Stepanoff AJ (1957) Centrifugal and axial folw pumps. John Wiley, New York

    Google Scholar 

  12. Singh P, Nestmann F (2010) An optimization routine on a prediction and selection model for the turbine operation on a prediction and selection model for the turbine operation of centrifugal pumps[J]. Exp Thermal Fluid Sci 34(2):152–164

    Article  Google Scholar 

  13. Singh P, Nestmann F (2011) Internal hydraulic analysis of impeller rounding in centrifugal pumps as turbines[J]. Exp Thermal Fluid Sci 35(1):121–134

    Article  Google Scholar 

  14. Shuren S (1984) Study on the utilization of pump reversal and turbine energy recovery. Fluid Mach 6:41–45

    Google Scholar 

  15. Tao W, Fanyu K, Yingying L, Qineng W (2017) Numerical simulation and verification of the influence of blade inlet angle on the external characteristics of pump turbine. J Agric Eng 33(15):98–104

    Google Scholar 

  16. Štefan David, Rossi Mosè, Hudec Martin, Rudolf Pavel, Nigro Alessandra, Renzi Massimiliano (2020) Study of the internal flow field in a pump-as-turbine (PAT): Numerical investigation, overall performance prediction model and velocity vector analysis. Renew Energy 156:158–172

    Article  Google Scholar 

  17. Rossi M, Renzi M (2017) Analytical prediction models for evaluating Pumpsas-Turbines (PaTs) performance. Energy Procedia 118:238–242. https://doi.org/10.1016/j.egypro.2017.07.011

    Article  Google Scholar 

  18. Fontanella Stefania, Fecarotta Oreste, Molino Bruno, Cozzolino Luca, Morte Renata Della (2020) A performance prediction model for Pumps as Turbines (PATs). Water 12(4):1175

    Article  Google Scholar 

  19. Asomani Stephen Ntiri, Yuan Jianping, Wang Longyan et al (2020) The impact of surrogate models on the multi- objective optimization of Pump-As-Turbine (PAT). Energies 13(9):2271

    Article  Google Scholar 

  20. Shouqi Y, Weidong S, Houlin L et al (2014) Pump theory and technology. China Machine Press, Beijing

    Google Scholar 

  21. Geng L, Escaler X (2020) Assessment of RANS turbulence models and Zwart cavitation model empirical coefficients for the simulation of unsteady cloud cavitation. Eng Appl Comput Fluid Mech 14(1):151–167

    Google Scholar 

  22. Long Y, Long X, Ji B et al (2017) Verification and validation of URANS simulations of the turbulent cavitating flow around the hydrofoil. J Hydrodyn 29(4):610–620

    Article  Google Scholar 

  23. Menter FR, Kuntz M, Langtry R (2003) Ten years of industrial experience with the SST turbulence model. Turbul Heat Mass Transf 4:625–632

    Google Scholar 

  24. Spalart PR (2009) Detached-eddy simulation. Annu Rev Fluid Mech 41:181–202

    Article  Google Scholar 

  25. Menter FR (1993) Zonal two equation k-ω turbulence models for aerodynamic flows. AIAA Paper 2906

  26. Guan XingFan (2011) Modern pumps theory and design. China Aerospace Press, Bei Jing

    Google Scholar 

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Acknowledgements

This study is financially supported by the National key R&D project (2017YFC0404201) and Key R & D projects in Jiangsu Province (BE2017144). The supports are gratefully acknowledged.

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Correspondence to Desheng Zhang.

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Technical Editor: Monica Carvalho.

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Qi, B., Zhang, D., Li, Y. et al. A comparative study on the reducing flow rate design method for a desalination energy recovery pump as turbine. J Braz. Soc. Mech. Sci. Eng. 43, 441 (2021). https://doi.org/10.1007/s40430-021-03143-w

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  • DOI: https://doi.org/10.1007/s40430-021-03143-w

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