IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v282y2023ics0360544223017607.html
   My bibliography  Save this article

PaT-ID: A tool for the selection of the optimal pump as turbine for a water distribution network

Author

Listed:
  • Balacco, Gabriella
  • Fiorese, Gaetano Daniele
  • Alfio, Maria Rosaria
  • Totaro, Vincenzo
  • Binetti, Mario
  • Torresi, Marco
  • Stefanizzi, Michele

Abstract

In a historical context where renewable energy is increasingly being adopted, the installation of Pumps as Turbines (PaTs) in Water Distribution Networks (WDNs) is gaining relevance in the scientific community. The selection of a PaT to be installed in a WDN is complex, requiring a trade-off between technical and economic aspects. This paper presents a methodology for guiding the selection of a PaT based on the characteristics of the WDN, predicting its characteristic curves, and estimating the daily power generation. The proposed algorithm has been automated in a computer tool called PaT-ID. The innovative aspects of this tool concern its general applicability to any WDN and machine catalogue. It automatically selects the most useful machine considering the input water demand trend and the hydraulic head available for the PaT. In addition, the tool decides on series or parallel layouts if necessary. Finally, in the absence of hydraulic input data, PaT-ID provides a first-level analysis to define the potential of the site for energy production, simulating the flow rate data. The code has been validated with two case studies analysed in previous works.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223017607
    DOI: 10.1016/j.energy.2023.128366
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223017607
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128366?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Silvio Barbarelli & Vincenzo Pisano & Mario Amelio, 2022. "Development of a Predicting Model for Calculating the Geometry and the Characteristic Curves of Pumps Running as Turbines in Both Operating Modes," Energies, MDPI, vol. 15(7), pages 1-28, April.
    3. 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.
    4. Stefanizzi, M. & Filannino, D. & Capurso, T. & Camporeale, S.M. & Torresi, M., 2023. "Optimal hydraulic energy harvesting strategy for PaT installation in Water Distribution Networks," Applied Energy, Elsevier, vol. 344(C).
    5. Cavazzini, Giovanna & Houdeline, Jean-Bernard & Pavesi, Giorgio & Teller, Olivier & Ardizzon, Guido, 2018. "Unstable behaviour of pump-turbines and its effects on power regulation capacity of pumped-hydro energy storage plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 399-409.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Florian Julian Lugauer & Josef Kainz & Matthias Gaderer, 2021. "Techno-Economic Efficiency Analysis of Various Operating Strategies for Micro-Hydro Storage Using a Pump as a Turbine," Energies, MDPI, vol. 14(2), pages 1-18, January.
    11. Morabito, Alessandro & Hendrick, Patrick, 2019. "Pump as turbine applied to micro energy storage and smart water grids: A case study," Applied Energy, Elsevier, vol. 241(C), pages 567-579.
    12. 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.
    13. 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.
    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. Gabriella Balacco & Mario Binetti & Leonardo Caggiani & Michele Ottomanelli, 2021. "A Novel Distributed System of e-Vehicle Charging Stations Based on Pumps as Turbine to Support Sustainable Micromobility," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    16. Shojaeefard, Mohammad Hassan & Saremian, Salman, 2022. "Effects of impeller geometry modification on performance of pump as turbine in the urban water distribution network," Energy, Elsevier, vol. 255(C).
    17. Rossi, Mosè & Renzi, Massimiliano, 2018. "A general methodology for performance prediction of pumps-as-turbines using Artificial Neural Networks," Renewable Energy, Elsevier, vol. 128(PA), pages 265-274.
    18. Xu, Zhe & Zheng, Yuan & Kan, Kan & Chen, Huixiang, 2023. "Flow instability and energy performance of a coastal axial-flow pump as turbine under the influence of upstream waves," Energy, Elsevier, vol. 272(C).
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    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. Kan, Kan & Binama, Maxime & Chen, Huixiang & Zheng, Yuan & Zhou, Daqing & Su, Wentao & Muhirwa, Alexis, 2022. "Pump as turbine cavitation performance for both conventional and reverse operating modes: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shojaeefard, Mohammad Hassan & Saremian, Salman, 2024. "Analyzing the impact of blade geometrical parameters on energy recovery and efficiency of centrifugal pump as turbine installed in the pressure-reducing station," Energy, Elsevier, vol. 289(C).

    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. Stefanizzi, M. & Filannino, D. & Capurso, T. & Camporeale, S.M. & Torresi, M., 2023. "Optimal hydraulic energy harvesting strategy for PaT installation in Water Distribution Networks," Applied Energy, Elsevier, vol. 344(C).
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Tahani, Mojtaba & Kandi, Ali & Moghimi, Mahdi & Houreh, Shahram Derakhshan, 2020. "Rotational speed variation assessment of centrifugal pump-as-turbine as an energy utilization device under water distribution network condition," Energy, Elsevier, vol. 213(C).
    9. Telikani, Akbar & Rossi, Mosé & Khajehali, Naghmeh & Renzi, Massimiliano, 2023. "Pumps-as-Turbines’ (PaTs) performance prediction improvement using evolutionary artificial neural networks," Applied Energy, Elsevier, vol. 330(PA).
    10. Kandi, Ali & Moghimi, Mahdi & Tahani, Mojtaba & Derakhshan, Shahram, 2021. "Optimization of pump selection for running as turbine and performance analysis within the regulation schemes," Energy, Elsevier, vol. 217(C).
    11. 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.
    12. Rossi, Mosè & Nigro, Alessandra & Renzi, Massimiliano, 2019. "Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions," Applied Energy, Elsevier, vol. 248(C), pages 555-566.
    13. Morabito, Alessandro & Vagnoni, Elena & Di Matteo, Mariano & Hendrick, Patrick, 2021. "Numerical investigation on the volute cutwater for pumps running in turbine mode," Renewable Energy, Elsevier, vol. 175(C), pages 807-824.
    14. 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.
    15. Davi Edson Sales Souza & André Luiz Amarante Mesquita & Claudio José Cavalcante Blanco, 2023. "Pressure Regulation in a Water Distribution Network Using Pumps as Turbines at Variable Speed for Energy Recovery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1183-1206, February.
    16. Hongyu, Guan & Wei, Jiang & Yuchuan, Wang & Hui, Tian & Ting, Li & Diyi, Chen, 2021. "Numerical simulation and experimental investigation on the influence of the clocking effect on the hydraulic performance of the centrifugal pump as turbine," Renewable Energy, Elsevier, vol. 168(C), pages 21-30.
    17. Kostner, Michael K. & Zanfei, Ariele & Alberizzi, Jacopo C. & Renzi, Massimiliano & Righetti, Maurizio & Menapace, Andrea, 2023. "Micro hydro power generation in water distribution networks through the optimal pumps-as-turbines sizing and control," Applied Energy, Elsevier, vol. 351(C).
    18. 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.
    19. João M. R. Catelas & João F. P. Fernandes & Modesto Pérez-Sánchez & P. Amparo López-Jiménez & Helena M. Ramos & P. J. Costa Branco, 2024. "Energy Efficiency and Stability of Micro-Hydropower PAT-SEIG Systems for DC Off-Grids," Energies, MDPI, vol. 17(6), pages 1-25, March.
    20. Pugliese, Francesco & Fontana, Nicola & Marini, Gustavo & Giugni, Maurizio, 2021. "Experimental assessment of the impact of number of stages on vertical axis multi-stage centrifugal PATs," Renewable Energy, Elsevier, vol. 178(C), pages 891-903.

    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:eee:energy:v:282:y:2023:i:c:s0360544223017607. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.