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Pumps as turbines for efficient energy recovery in water supply networks

Author

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  • Kramer, M.
  • Terheiden, K.
  • Wieprecht, S.

Abstract

The present work aims to enhance the energy efficiency of water supply networks by investigating technical and economical feasibility of energy recovery plants at low installed capacities. A cost effective stainless steel machine is investigated in pump and turbine operation and established conversion methods are used for predicting the best efficiency point of the turbine. The obtained results show a reasonable agreement of the BEP, but experimental investigations are still indispensable for a determination of complete Q-H-characteristics.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:122:y:2018:i:c:p:17-25
    DOI: 10.1016/j.renene.2018.01.053
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    References listed on IDEAS

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    1. 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.
    2. Kramer, Matthias & Terheiden, Kristina & Wieprecht, Silke, 2015. "Optimized design of impulse turbines in the micro-hydro sector concerning air detrainment processes," Energy, Elsevier, vol. 93(P2), pages 2604-2613.
    3. Jain, Sanjay V. & Patel, Rajesh N., 2014. "Investigations on pump running in turbine mode: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 841-868.
    4. 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.
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    Cited by:

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    2. Huixiang Chen & Kan Kan & Haolan Wang & Maxime Binama & Yuan Zheng & Hui Xu, 2021. "Development and Numerical Performance Analysis of a Micro Turbine in a Tap-Water Pipeline," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
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    4. 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.
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    8. Roberts, A. & Thomas, B. & Sewell, P. & Hoare, E., 2019. "Generating renewable power from water hammer pressure surges," Renewable Energy, Elsevier, vol. 134(C), pages 1392-1399.
    9. 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.
    10. 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.
    11. 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.
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    13. Shuaihui Sun & Pei Ren & Pengcheng Guo & Longgang Sun & Xiaobo Zheng, 2022. "Influence of the Gas Model on the Performance and Flow Field Prediction of a Gas–Liquid Two-Phase Hydraulic Turbine," Energies, MDPI, vol. 15(17), pages 1-18, August.
    14. Ávila, Carlos Andrés Macías & Sánchez-Romero, Francisco-Javier & López-Jiménez, P. Amparo & Pérez-Sánchez, Modesto, 2021. "Optimization tool to improve the management of the leakages and recovered energy in irrigation water systems," Agricultural Water Management, Elsevier, vol. 258(C).
    15. 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.
    16. 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.
    17. Frank A Plua & Francisco-Javier Sánchez-Romero & Victor Hidalgo & P. Amparo López-Jiménez & Modesto Pérez-Sánchez, 2021. "New Expressions to Apply the Variation Operation Strategy in Engineering Tools Using Pumps Working as Turbines," Mathematics, MDPI, vol. 9(8), pages 1-17, April.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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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