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A Performance Prediction Method for Pumps as Turbines (PAT) Using a Computational Fluid Dynamics (CFD) Modeling Approach

Author

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  • Emma Frosina

    (Department of Industrial Engineering, University of Naples Federico II, Via Claudio, 21-80125 Naples, Italy)

  • Dario Buono

    (Department of Industrial Engineering, University of Naples Federico II, Via Claudio, 21-80125 Naples, Italy)

  • Adolfo Senatore

    (Department of Industrial Engineering, University of Naples Federico II, Via Claudio, 21-80125 Naples, Italy)

Abstract

Small and micro hydropower systems represent an attractive solution for generating electricity at low cost and with low environmental impact. The pump-as-turbine (PAT) approach has promise in this application due to its low purchase and maintenance costs. In this paper, a new method to predict the inverse characteristic of industrial centrifugal pumps is presented. This method is based on results of simulations performed with commercial three-dimensional Computational Fluid Dynamics (CFD) software. Model results have been first validated in pumping mode using data supplied by pump manufacturers. Then, the results have been compared to experimental data for a pump running in reverse. Experimentation has been performed on a dedicated test bench installed in the Department of Civil Construction and Environmental Engineering of the University of Naples Federico II. Three different pumps, with different specific speeds, have been analyzed. Using the model results, the inverse characteristic and the best efficiency point have been evaluated. Finally, results have been compared to prediction methods available in the literature.

Suggested Citation

  • Emma Frosina & Dario Buono & Adolfo Senatore, 2017. "A Performance Prediction Method for Pumps as Turbines (PAT) Using a Computational Fluid Dynamics (CFD) Modeling Approach," Energies, MDPI, vol. 10(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:103-:d:87942
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    References listed on IDEAS

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    Cited by:

    1. Mariana Simão & Modesto Pérez-Sánchez & Armando Carravetta & Helena M. Ramos, 2019. "Flow Conditions for PATs Operating in Parallel: Experimental and Numerical Analyses," Energies, MDPI, vol. 12(5), pages 1-19, March.
    2. Qi, Bing & Zhang, Desheng & Geng, Linlin & Zhao, Ruijie & van Esch, Bart P.M., 2022. "Numerical and experimental investigations on inflow loss in the energy recovery turbines with back-curved and front-curved impeller based on the entropy generation theory," Energy, Elsevier, vol. 239(PE).
    3. Linhai Liu & Baoshan Zhu & Li Bai & Xiaobing Liu & Yue Zhao, 2017. "Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization," Energies, MDPI, vol. 10(8), pages 1-16, August.
    4. Balacco, Gabriella & Fiorese, Gaetano Daniele & Alfio, Maria Rosaria & Totaro, Vincenzo & Binetti, Mario & Torresi, Marco & Stefanizzi, Michele, 2023. "PaT-ID: A tool for the selection of the optimal pump as turbine for a water distribution network," Energy, Elsevier, vol. 282(C).
    5. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.
    6. Mario Amelio & Silvio Barbarelli & Domenico Schinello, 2020. "Review of Methods Used for Selecting Pumps as Turbines (PATs) and Predicting Their Characteristic Curves," Energies, MDPI, vol. 13(23), pages 1-20, December.
    7. 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.
    8. Xiuli Mao & Andrea Dal Monte & Ernesto Benini & Yuan Zheng, 2017. "Numerical Study on the Internal Flow Field of a Reversible Turbine during Continuous Guide Vane Closing," Energies, MDPI, vol. 10(7), pages 1-22, July.
    9. Zeyad Al-Suhaibani & Syed Noman Danish & Ziyad Saleh Al-Khalaf & Basharat Salim, 2023. "Improved Prediction Model and Utilization of Pump as Turbine for Excess Power Saving from Large Pumping System in Saudi Arabia," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    10. 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.
    11. Bjørn H. Hjertager, 2017. "Engineering Fluid Dynamics," Energies, MDPI, vol. 10(10), pages 1-2, September.
    12. 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.
    13. Emma Frosina & Adolfo Senatore & Assunta Andreozzi & Francesco Fortunato & Pino Giliberti, 2018. "Experimental and Numerical Analyses of the Sloshing in a Fuel Tank," Energies, MDPI, vol. 11(3), pages 1-24, March.
    14. Martin Polák, 2021. "Innovation of Pump as Turbine According to Calculation Model for Francis Turbine Design," Energies, MDPI, vol. 14(9), pages 1-13, May.
    15. Maxime Binama & Kan Kan & Huixiang Chen & Yuan Zheng & Daqing Zhou & Alexis Muhirwa & Godfrey M. Bwimba, 2021. "Investigation into Pump Mode Flow Dynamics for a Mixed Flow PAT with Adjustable Runner Blades," Energies, MDPI, vol. 14(9), pages 1-28, May.
    16. Martin Polák, 2019. "The Influence of Changing Hydropower Potential on Performance Parameters of Pumps in Turbine Mode," Energies, MDPI, vol. 12(11), pages 1-12, June.
    17. Wang, Tao & Xiang, Ru & Yu, He & Zhou, Min, 2023. "Performance improvement of forward-curved impeller with an adequate outlet swirl using in centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 204(C), pages 67-76.
    18. 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.
    19. Fu, Shifeng & Zheng, Yuan & Kan, Kan & Chen, Huixiang & Han, Xingxing & Liang, Xiaoling & Liu, Huiwen & Tian, Xiaoqing, 2020. "Numerical simulation and experimental study of transient characteristics in an axial flow pump during start-up," Renewable Energy, Elsevier, vol. 146(C), pages 1879-1887.
    20. Jacopo Carlo Alberizzi & Massimiliano Renzi & Maurizio Righetti & Giuseppe Roberto Pisaturo & Mosè Rossi, 2019. "Speed and Pressure Controls of Pumps-as-Turbines Installed in Branch of Water-Distribution Network Subjected to Highly Variable Flow Rates," Energies, MDPI, vol. 12(24), pages 1-18, December.
    21. 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.
    22. Xuanlin Peng & Jianzhong Zhou & Chu Zhang & Ruhai Li & Yanhe Xu & Diyi Chen, 2017. "An Intelligent Optimization Method for Vortex-Induced Vibration Reducing and Performance Improving in a Large Francis Turbine," Energies, MDPI, vol. 10(11), pages 1-17, November.
    23. 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.

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