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Speed and Pressure Controls of Pumps-as-Turbines Installed in Branch of Water-Distribution Network Subjected to Highly Variable Flow Rates

Author

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  • Jacopo Carlo Alberizzi

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, I-39100 Bolzano, Italy)

  • Massimiliano Renzi

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, I-39100 Bolzano, Italy)

  • Maurizio Righetti

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, I-39100 Bolzano, Italy)

  • Giuseppe Roberto Pisaturo

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, I-39100 Bolzano, Italy)

  • Mosè Rossi

    (Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, I-39100 Bolzano, Italy)

Abstract

The use of Pumps-as-Turbines (PaTs) to replace hydraulic turbines as energy-recovery units in industrial and civil applications is widening the penetration of hydropower in small-scale plants. PaTs show advantages in terms of installation costs and the availability of solutions. Water Distribution Networks (WDNs) represent a potential application where PaTs can be installed to recover water-pressure energy. In this work, a MATLAB©–Simulink model of a WDN branch located in South-Tyrol (Italy) was developed. The flow rate of the WDN was assessed though a measurement campaign showing high daily variability, which negatively affect PaT performance. To let the machine operate close to the Best Efficiency Point (BEP), four different operating strategies were studied to meet the constraint of a fixed pressure equal to 4 bar downstream the WDN branch, required to supply water to users. A PaT speed control strategy was implemented, granting better exploitation of flow rates even in the presence of high daily fluctuations. Energy recovery was 23% higher than that of the reference thanks to an advanced strategy based on controlling PaT rotational speed when the flow rate is smaller than that of the design, and operating in off-design conditions when flow rate is higher than that of the BEP.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4738-:d:297182
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    References listed on IDEAS

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    1. 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.
    2. Balkhair, Khaled S. & Rahman, Khalil Ur, 2017. "Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale," Applied Energy, Elsevier, vol. 188(C), pages 378-391.
    3. 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.
    4. Armando Carravetta & Giuseppe Del Giudice & Oreste Fecarotta & Helena M. Ramos, 2013. "PAT Design Strategy for Energy Recovery in Water Distribution Networks by Electrical Regulation," Energies, MDPI, vol. 6(1), pages 1-14, January.
    5. Alexandros Korkovelos & Dimitrios Mentis & Shahid Hussain Siyal & Christopher Arderne & Holger Rogner & Morgan Bazilian & Mark Howells & Hylke Beck & Ad De Roo, 2018. "A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa," Energies, MDPI, vol. 11(11), pages 1-21, November.
    6. 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.
    7. 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.
    8. Petras Punys & Antanas Dumbrauskas & Algis Kvaraciejus & Gitana Vyciene, 2011. "Tools for Small Hydropower Plant Resource Planning and Development: A Review of Technology and Applications," Energies, MDPI, vol. 4(9), pages 1-20, August.
    9. 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.
    10. 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.
    11. Thomas Patsialis & Ioannis Kougias & Nerantzis Kazakis & Nicolaos Theodossiou & Peter Droege, 2016. "Supporting Renewables’ Penetration in Remote Areas through the Transformation of Non-Powered Dams," Energies, MDPI, vol. 9(12), pages 1-14, December.
    12. Du, Jiyun & Yang, Hongxing & Shen, Zhicheng & Chen, Jian, 2017. "Micro hydro power generation from water supply system in high rise buildings using pump as turbines," Energy, Elsevier, vol. 137(C), pages 431-440.
    13. Lydon, Tracey & Coughlan, Paul & McNabola, Aonghus, 2017. "Pressure management and energy recovery in water distribution networks: Development of design and selection methodologies using three pump-as-turbine case studies," Renewable Energy, Elsevier, vol. 114(PB), pages 1038-1050.
    14. 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.
    15. 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.
    16. 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.
    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. 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.
    19. 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.
    20. Junhao Luo & Junhua Wang & Zhijian Fang & Jianwei Shao & Jiangui Li, 2018. "Optimal Design of a High Efficiency LLC Resonant Converter with a Narrow Frequency Range for Voltage Regulation," Energies, MDPI, vol. 11(5), pages 1-17, May.
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    Cited by:

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    3. Manoujan, Amin Zarei & Riasi, Alireza, 2024. "Optimal selection of parallel pumps running as turbines for energy harvesting in water transmission lines considering economic parameters," Applied Energy, Elsevier, vol. 359(C).
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    5. 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).
    6. 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.
    7. 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.

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