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Hydropower energy recovery in irrigation networks: Validation of a methodology for flow prediction and pump as turbine selection

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  • Crespo Chacón, Miguel
  • Rodríguez Díaz, Juan Antonio
  • García Morillo, Jorge
  • McNabola, Aonghus

Abstract

In recent years, pump-as-turbines (PATs) have been highlighted for their potential benefits as an application of micro-hydropower (MHP) in water distribution networks. However, PATs come with disadvantages of relatively low peak efficiencies, which can be reduced further with large flow fluctuations. MHP and PATs in particular applied in irrigation networks is a relatively new area of research focus for these devices, and one that poses significant opportunities for energy saving as well as significant challenges due to variations in flow rate. This paper discusses the validation of a statistical methodology to estimate the flow and head variability in a network, and to select PATs whose best efficiency point (BEP) returns the lowest payback period. A comparison between the predicted and actual occurrence probabilities for different flow rates was carried out at nine potential points for MHP installation identified within a real network in Southwestern Spain. For the flow occurrence probability, the coefficient of determination (R2) of 0.804. A total of 281.0 MWh were obtained from the flow prediction and PAT selection methodology, in contrast to 230.5 MWh using the actual measured data. An overall difference of 0.2% was obtained when both PATs were simulated under actual conditions.

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  • 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.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:1728-1738
    DOI: 10.1016/j.renene.2019.09.119
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    References listed on IDEAS

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    2. Giacomo Ferrarese & Alessandro Pagano & Umberto Fratino & Stefano Malavasi, 2021. "Improving Operation of Pressurized Irrigation Systems by an Off-grid Control Devices Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2813-2827, July.
    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. Helena M. Ramos & Jorge G. Morillo & Juan A. Rodríguez Diaz & Armando Carravetta & Aonghus McNabola, 2021. "Sustainable Water-Energy Nexus towards Developing Countries’ Water Sector Efficiency," Energies, MDPI, vol. 14(12), pages 1-18, June.
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    7. 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.
    8. Md Mijanur Rahman & Mohammad Shakeri & Sieh Kiong Tiong & Fatema Khatun & Nowshad Amin & Jagadeesh Pasupuleti & Mohammad Kamrul Hasan, 2021. "Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks," Sustainability, MDPI, vol. 13(4), pages 1-28, February.
    9. Azimov, Ulugbek & Avezova, Nilufar, 2022. "Sustainable small-scale hydropower solutions in Central Asian countries for local and cross-border energy/water supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    10. 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.
    11. Ghaya Alawadhi & Meera Almehiri & Ahmad Sakhrieh & Ahmad Alshwawra & Jamil Al Asfar, 2022. "Cost Analysis of Implementing In-Pipe Hydro Turbine in the United Arab Emirates Water Network," Sustainability, MDPI, vol. 15(1), pages 1-11, December.
    12. 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.
    13. 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.

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