IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i9p2698-d550772.html
   My bibliography  Save this article

Innovation of Pump as Turbine According to Calculation Model for Francis Turbine Design

Author

Listed:
  • Martin Polák

    (Faculty of Engineering, Czech University of Life Sciences Prague, Kamýcká 129, 16521 Praha 6, Czech Republic)

Abstract

The effective utilization of micro hydropower sources is often realized through the use of pumps as turbines (PAT). The efficiency of PAT is about the same as that of the original pump. A further increase in efficiency and power output can be achieved by modifying the parts interacting with the flow, especially the impeller and the adjacent volute casing and draft tube. This paper presents a user-friendly calculation model of Francis turbine design and its application for PAT geometry modification. Two different modifications of a single-stage radial centrifugal pump were designed according to this model. The first modification (Turbine) consisted of a complete revision of the impeller geometry, volute casing and draft tube, which corresponded to a conventional Francis turbine. The second modification (Hybrid) was based on altered calculation model and consisted of a modification of only the impeller, which can be used in the original volute casing. Both modifications were tested on hydraulic test circuit at different heads. A comparison of the results of the Hybrid and the Turbine modification with the unmodified machine (Original) proved an increase in overall efficiency by 10%. Both modifications provided a higher flow rate and torque. This resulted in an overall power output increase—an increase of approximately 25% and 40% due to the Turbine and Hybrid modifications, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2698-:d:550772
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/9/2698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/9/2698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Williams, A.A., 1996. "Pumps as turbines for low cost micro hydro power," Renewable Energy, Elsevier, vol. 9(1), pages 1227-1234.
    4. 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.
    5. Giosio, D.R. & Henderson, A.D. & Walker, J.M. & Brandner, P.A. & Sargison, J.E. & Gautam, P., 2015. "Design and performance evaluation of a pump-as-turbine micro-hydro test facility with incorporated inlet flow control," Renewable Energy, Elsevier, vol. 78(C), pages 1-6.
    6. Kramer, M. & Terheiden, K. & Wieprecht, S., 2018. "Pumps as turbines for efficient energy recovery in water supply networks," Renewable Energy, Elsevier, vol. 122(C), pages 17-25.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Maria Castorino, Giulia Anna & Manservigi, Lucrezia & Barbarelli, Silvio & Losi, Enzo & Venturini, Mauro, 2023. "Development and validation of a comprehensive methodology for predicting PAT performance curves," Energy, Elsevier, vol. 274(C).
    5. 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.
    6. 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.
    7. Jawahar, C.P. & Michael, Prawin Angel, 2017. "A review on turbines for micro hydro power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 882-887.
    8. 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.
    9. 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.
    10. 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.
    11. Delgado, J. & Ferreira, J.P. & Covas, D.I.C. & Avellan, F., 2019. "Variable speed operation of centrifugal pumps running as turbines. Experimental investigation," Renewable Energy, Elsevier, vol. 142(C), pages 437-450.
    12. Diamantis Karakatsanis & Nicolaos Theodossiou, 2022. "Smart Hydropower Water Distribution Networks, Use of Artificial Intelligence Methods and Metaheuristic Algorithms to Generate Energy from Existing Water Supply Networks," Energies, MDPI, vol. 15(14), pages 1-21, July.
    13. 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.
    14. 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," Renewable Energy, Elsevier, vol. 156(C), pages 158-172.
    15. 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.
    16. 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.
    17. 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.
    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. 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.
    20. Marco van Dijk & Stefanus Johannes van Vuuren & Giovanna Cavazzini & Chantel Monica Niebuhr & Alberto Santolin, 2022. "Optimizing Conduit Hydropower Potential by Determining Pareto-Optimal Trade-Off Curve," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2698-:d:550772. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.