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Selection, control and techno-economic feasibility of Pumps as Turbines in Water Distribution Networks

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  • Stefanizzi, Michele
  • Capurso, Tommaso
  • Balacco, Gabriella
  • Binetti, Mario
  • Camporeale, Sergio Mario
  • Torresi, Marco

Abstract

Water Distribution Networks (WDNs) are becoming an attractive area of application for small hydropower, which can contribute to the development of distributed energy generation from renewable sources. Indeed, WDNs experience considerable water leakages due to their age and water management authorities often divide the WDNs by inserting Pressure Reducing Valves (PRVs), which waste a potentially recoverable hydraulic head. The replacement of PRVs with Pump as Turbines (PaTs) can be considered as an economically feasible solution to achieve both an effective pressure control and a throttling energy recovery. The selection, installation and control strategy of a PaT in a WDN must consider the variability of the pressure and the flow rate demand. Starting from the evaluation of the available head and the water demand, in this work, we describe a methodology to select from pump catalogues the most suitable PaT and the best control criteria for a specific WDN. Then, knowing the pump geometry, it is possible to predict the characteristic curve of the pump operating as a turbine by using a 1-D performance prediction model. The WDN of a town in the Apulia region (Southern Italy) has been used as a case study. Finally, a techno-economic evaluation has been carried out by considering both economic and environmental benefits.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:1292-1306
    DOI: 10.1016/j.renene.2020.08.108
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    1. 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.
    2. 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.
    3. 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.
    4. Irene Samora & Mário J. Franca & Anton J. Schleiss & Helena M. Ramos, 2016. "Simulated Annealing in Optimization of Energy Production in a Water Supply Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1533-1547, March.
    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. 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.
    7. Irene Samora & Mário Franca & Anton Schleiss & Helena Ramos, 2016. "Simulated Annealing in Optimization of Energy Production in a Water Supply Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1533-1547, March.
    8. Crespo Chacón, Miguel & Rodríguez Díaz, Juan Antonio & García Morillo, Jorge & McNabola, Aonghus, 2020. "Hydropower energy recovery in irrigation networks: Validation of a methodology for flow prediction and pump as turbine selection," Renewable Energy, Elsevier, vol. 147(P1), pages 1728-1738.
    9. 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.
    10. 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.
    11. 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.
    12. Frances C. Moore & Delavane B. Diaz, 2015. "Temperature impacts on economic growth warrant stringent mitigation policy," Nature Climate Change, Nature, vol. 5(2), pages 127-131, February.
    13. 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.
    14. 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.
    15. 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.
    16. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    17. 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.
    18. Frances C. Moore & Delavane B. Diaz, 2015. "Erratum: Temperature impacts on economic growth warrant stringent mitigation policy," Nature Climate Change, Nature, vol. 5(3), pages 280-280, March.
    19. Arriaga, Mariano, 2010. "Pump as turbine – A pico-hydro alternative in Lao People's Democratic Republic," Renewable Energy, Elsevier, vol. 35(5), pages 1109-1115.
    20. 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.
    21. Tan, Xu & Engeda, Abraham, 2016. "Performance of centrifugal pumps running in reverse as turbine: Part Ⅱ- systematic specific speed and specific diameter based performance prediction," Renewable Energy, Elsevier, vol. 99(C), pages 188-197.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Kougias, Ioannis & Aggidis, George & Avellan, François & Deniz, Sabri & Lundin, Urban & Moro, Alberto & Muntean, Sebastian & Novara, Daniele & Pérez-Díaz, Juan Ignacio & Quaranta, Emanuele & Schild, P, 2019. "Analysis of emerging technologies in the hydropower sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    28. 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.
    29. Alemi Arani, Hamed & Fathi, Mohammad & Raisee, Mehrdad & Nourbakhsh, Seyed Ahmad, 2019. "The effect of tongue geometry on pump performance in reverse mode: An experimental study," Renewable Energy, Elsevier, vol. 141(C), pages 717-727.
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    6. Kucukali, Serhat & Al Bayatı, Omar & Maraş, H. Hakan, 2021. "Finding the most suitable existing irrigation dams for small hydropower development in Turkey: A GIS-Fuzzy logic tool," Renewable Energy, Elsevier, vol. 172(C), pages 633-650.
    7. 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).
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    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.
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    17. Kandi, Ali & Meirelles, Gustavo & Brentan, Bruno, 2022. "Employing demand prediction in pump as turbine plant design regarding energy recovery enhancement," Renewable Energy, Elsevier, vol. 187(C), pages 223-236.
    18. Hong Pan & Jie Yang & Yang Yu & Yuan Zheng & Xiaonan Zheng & Chenyang Hang, 2024. "Intelligent Low-Consumption Optimization Strategies: Economic Operation of Hydropower Stations Based on Improved LSTM and Random Forest Machine Learning Algorithm," Mathematics, MDPI, vol. 12(9), pages 1-20, April.
    19. 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.
    20. 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).
    21. Dariusz Andraka & Wojciech Kruszyński & Jacek Tyniec & Joanna Gwoździej-Mazur & Bartosz Kaźmierczak, 2023. "Practical Aspects of the Energy Efficiency Evaluation of a Water Distribution Network Using Hydrodynamic Modeling—A Case Study," Energies, MDPI, vol. 16(8), pages 1-17, April.
    22. Peng Wang & Xingqi Luo & Jinling Lu & Qiyao Xue & Jiawei Gao & Senlin Chen, 2022. "Energy and Economic Analysis of Power Generation Using Residual Pressure of a Circulating Cooling Water System," Sustainability, MDPI, vol. 14(19), pages 1-20, October.

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