Technical Papers
Aug 26, 2022

New Model for Determining Optimal PAT Locations: Maximizing Energy Recovery in Irrigation Networks

Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 11

Abstract

Climate change impacts on irrigated agriculture reveal the necessity of improving water and energy use efficiency and integrating renewable energies in this sector. Pressurized networks are typical in the irrigation sector. In these networks, nodes with excess pressure are frequent and the installation of pressure-reducing devices is required for their proper operation. As these devices imply an energy dissipation previously used, this work focuses on determination of the optimal number and location of pumps as turbines (PATs) in irrigation networks to maximize the energy recovery, provided that the feasibility of installation of each PAT separately is guaranteed considering the large flow fluctuations typical in these networks. The proposed methodology considered theoretical PAT curves and was evaluated in two irrigation networks located in Southern Spain. The results showed three and four potential sites for PAT installation in each network, with total annual energy recovery estimations of 43.1 and 91.8 MWh, a payback period lower than 10 years in most of them, and potential annual CO2 emissions savings up to 13.4 and 28.5tCO2. The developed model could be an interesting tool to offer irrigation district managers or technicians a baseline hydropower potential scenario in irrigation networks.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All models generated or used during the study are available from the corresponding author on request.

Acknowledgments

This research is funded by the Spanish Ministry of Economy and Competitiveness (AGL2017-82927-C3-1-R) and the Spanish Ministry of Science and Innovation (PID2020-115998RB-C21). We acknowledge financial support from the Spanish Ministry of Science and Innovation, Spanish State Research Agency, through the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D (Ref. CEX2019-000968-M).

References

Algieri, A., D. A. Zema, A. Nicotra, and S. M. Zimbone. 2020. “Potential energy exploitation in collective irrigation systems using pumps as turbines: A case study in Calabria (Southern Italy).” J. Cleaner Prod. 257 (Jun): 120538. https://doi.org/10.1016/j.jclepro.2020.120538.
Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements: FAO irrigation and drainage paper no. 56. Rome: Food and Agriculture Organization.
Bhattacharjee, B., A. Chakrabarti, and P. K. Sadhu. 2019. “Solar photovoltaic integrated pump for advanced irrigation system.” Int. J. Innovative Technol. Exploring Eng. 8 (8): 3246–3250. https://doi.org/10.35940/ijitee.L3085.1081219.
Carravetta, A., G. Del Giudice, O. Fecarotta, and H. M. Ramos. 2012. “Energy production in water distribution networks: A PAT design strategy.” Water Resour. Manage. 26 (13): 3947–3959. https://doi.org/10.1007/s11269-012-0114-1.
Carravetta, A., S. Derakshan Houreh, and H. M. Ramos. 2018. Pumps as turbines: Fundamentals and applications. New York: Springer.
Carravetta, A., O. Fecarotta, M. Sinagra, and T. Tucciarelli. 2014. “Cost-benefit analysis for hydropower production in water distribution networks by a pump as turbine.” J. Water Resour. Plann. Manage. 140 (6): 04014002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000384.
Clément, R. 1966. “Calcul des débits dans les réseaux d’irrigation fonctionnant à la demande.” La Houille Blanche 52 (5): 553–576. https://doi.org/10.1051/lhb/1966034.
Córcoles, J., R. Gonzalez Perea, A. Izquiel, and M. Moreno. 2019. “Decision support system tool to reduce the energy consumption of water abstraction from aquifers for irrigation.” Water 11 (2): 323. https://doi.org/10.3390/w11020323.
Corominas, J. 2010. “Agua y energía en el riego en la época de la sostenibilidad.” Ing. Agua 17 (3): 219–233.
Crespo Chacón, M., J. A. Rodríguez Díaz, J. García Morillo, and A. McNabola. 2019. “Pump-as-turbine selection methodology for energy recovery in irrigation networks: Minimising the payback period.” Water 11 (1): 149. https://doi.org/10.3390/w11010149.
Crespo Chacón, M., J. A. Rodríguez Díaz, J. García Morillo, and A. McNabola. 2020. “Hydropower energy recovery in irrigation networks: Validation of a methodology for flow prediction and pump-as-turbine selection.” Renewable Energy 147 (Mar): 1728–1738. https://doi.org/10.1016/j.renene.2019.09.119.
Crespo Chacón, M., J. A. Rodríguez Díaz, J. García Morillo, and A. McNabola. 2021. “Evaluation of the design and performance of a micro hydropower plant in a pressurised irrigation network: Real world application at farm-level in Southern Spain.” Renewable Energy 169: 1106–1120.
Derakhshan, S., and A. Nourbakhsh. 2008. “Experimental study of characteristic curves of centrifugal pumps working as turbines in different specific speeds.” Exp. Therm. Fluid Sci. 32 (3): 800–807. https://doi.org/10.1016/j.expthermflusci.2007.10.004.
Ebrahimi, S., A. Riasi, and A. Kandi. 2021. “Selection optimization of variable speed pump as turbine (PAT) for energy recovery and pressure management.” Energy Convers. Manage. 227 (Jan): 113586. https://doi.org/10.1016/j.enconman.2020.113586.
ESIOS. 2019. “ESIOS electricidad datos. . . transparencia.” [WWW Document] Accessed October 20, 2019.
FAO (Food and Agriculture Organization). 2017. The future of food and agriculture: Trends and challenges. Rome: FAO.
Fecarotta, O., A. Carravetta, H. M. Ramos, and R. Martino. 2016. “An improved affinity model to enhance variable operating strategy for pumps used as turbines.” J. Hydraul. Res. 54 (3): 332–341. https://doi.org/10.1080/00221686.2016.1141804.
Fecarotta, O., and A. McNabola. 2017. “Optimal location of pump as turbines (PATs) in water distribution networks to recover energy and reduce leakage.” Water Resour. Manage. 31 (15): 5043–5059. https:// doi.org/10.1007/s11269-017-1795-2.
Fernández Garcia, I., and A. McNabola. 2020. “Maximizing hydropower generation in gravity water distribution networks: Determining the optimal location and number of pumps as turbines.” J. Water Resour. Plann. Manage. 146 (1): 04019066. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001152.
Gallagher, J., I. M. Harris, A. J. Packwood, A. McNabola, and A. P. Williams. 2015. “A strategic assessment of micro-hydropower in the UK and Irish water industry: Identifying technical and economic constraints.” Renewable Energy 81 (Sep): 808–815. https://doi.org/10.1016/j.renene.2015.03.078.
García Morillo, J., A. McNabola, E. Camacho, P. Montesinos, and J. A. Rodríguez Díaz. 2018. “Hydro-power energy recovery in pressurized irrigation networks: A case study of an irrigation district in the south of Spain.” Agric. Water Manage. 204 (May): 17–27. https://doi.org/10.1016/j.agwat.2018.03.035.
Gonzalez Perea, R., M. Á. Moreno, V. Buono, and J. I. Córcoles. 2020. “Decision support system based on genetic algorithms to optimize the daily management of water abstraction from multiple groundwater supply sources.” Water Resour. Manage. 34 (15): 4739–4755.
González Perea, R., E. Camacho Poyato, P. Montesinos, and J. A. Rodríguez Díaz. 2016. “Optimization of irrigation scheduling using soil water balance and genetic algorithms.” Water Resour. Manage. 30 (8): 2815–2830. https://doi.org/10.1007/s11269-016-1325-7.
Lamaddalena, N., and J. A. Sagardoy. 2000. Performance analysis of on-demand pressurized irrigation systems: FAO Rome. Irrigation and drainage paper no. 59. Rome: Food and Agriculture Organization.
López-Luque, R., J. Reca, and J. Martínez. 2015. “Optimal design of a standalone direct pumping photovoltaic system for deficit irrigation of olive orchards.” Appl. Energy 149 (Jul): 13–23. https://doi.org/10.1016/j.apenergy.2015.03.107.
Lydon, T., P. Coughlan, and A. McNabola. 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 114 (Dec): 1038–1050. https://doi.org/10.1016/j.renene.2017.07.120.
Marchiori, I. N., G. M. Lima, B. M. Brentan, and E. Luvizotto. 2019. “Effectiveness of methods for selecting pumps as turbines to operate in water distribution networks.” Water Sci. Technol. Water Supply 19 (2): 417–423. https://doi.org/10.2166/ws.2018.086.
Martí, R., and G. Reinelt. 2011. “Meta-heuristics.” Vol. 175 of The linear ordering problem. Applied mathematical sciences, 41–84. New York: Springer. https://doi.org/10.1007/978-3-642-16729-4_3.
Mérida García, A., I. Fernández García, E. Camacho Poyato, P. Montesinos Barrios, and J. A. Rodríguez Díaz. 2018. “Coupling irrigation scheduling with solar energy production in a smart irrigation management system.” J. Cleaner Prod. 175 (Feb): 670–682. https://doi.org/10.1016/j.jclepro.2017.12.093.
Ministerio para la Transición Ecológica y el Reto Demográfico. 2020. Factores de emisión. Registro de huella de carbono, compensacion y proyectos de absorción de dióxido de carbono. [In Spanish.] Madrid, Spain: Ministerio para la Transición ecológica y el reto demográfico.
Mitrovic, D., J. García Morillo, J. A. Rodríguez Díaz, and A. Mc Nabola. 2021. “Optimization-based methodology for selection of pump-as-turbine in water distribution networks: Effects of different objectives and machine operation limits on best efficiency.” J. Water Resour. Plann. Manage. 147 (5): 1–16. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001356.
Novara, D., and A. McNabola. 2018. “A model for the extrapolation of the characteristic curves of pumps as turbines from a datum best efficiency point.” Energy Convers. Manage. 174 (Oct): 1–7. https://doi.org/10.1016/j.enconman.2018.07.091.
Ntiri Asomani, S., J. Yuan, L. Wang, D. Appiah, and K. A. Adu-Poku. 2020. “The impact of surrogate models on the multi-objective optimization of pump-as-turbine (PAT).” Energies 13 (9): 2271. https://doi.org/10.3390/en13092271.
Pérez-Sánchez, M., F. J. Sánchez-Romero, P. A. López-Jiménez, and H. M. Ramos. 2018. “PATs selection towards sustainability in irrigation networks: Simulated annealing as a water management tool.” Renewable Energy 116 (Feb): 234–249. https://doi.org/10.1016/j.renene.2017.09.060.
Pérez-Sánchez, M., F. J. Sánchez-Romero, H. M. Ramos, and P. A. López-Jiménez. 2016. “Modeling irrigation networks for the quantification of potential energy recovering: A case study.” Water 8 (6): 234. https://doi.org/10.3390/w8060234.
Pugliese, F., F. De Paola, N. Fontana, M. Giugni, and G. Marini. 2018. “Performance of vertical-axis pumps as turbines.” J. Hydraul. Res. 56 (4): 482–493. https://doi.org/10.1080/00221686.2017.1399932.
Renzi, M., A. Nigro, and M. Rossi. 2020. “A methodology to forecast the main non-dimensional performance parameters of pumps-as-turbines (PaTs) operating at best efficiency point (BEP).” Renewable Energy 160 (Nov): 16–25. https://doi.org/10.1016/j.renene.2020.05.165.
Rodríguez-Díaz, J. A., P. Montesinos, and E. Camacho Poyato. 2012. “detecting critical points in on-demand irrigation pressurized networks—A new methodology.” Water Resour. Manage. 26 (6): 1693–1713. https://doi.org/10.1007/s11269-012-9981-8.
Rossman, L. A. 2000. EPANET 2 users manual EPA/600/R-00/57. Water supply and water resources division. Washington, DC: USEPA.
Simpson, A. R. 2008. “Selecting a discount rate for evaluating water distribution projects—The sustainability controversy.” In Proc., 10th Annual Symp. on Water Distribution Systems Analysis. Reston, VA: ASCE.
Stefanizzi, M., T. Capurso, G. Balacco, M. Binetti, S. M. Camporeale, and M. Torresi. 2020. “Selection, control and techno-economic feasibility of pumps as turbines in water distribution networks.” Renewable Energy 162: 1292–1306. https://doi.org/10.1016/j.renene.2020.08.108.
Tricarico, C., M. S. Morley, R. Gargano, Z. Kapelan, D. Savić, S. Santopietro, F. Granata, and G. de Marinis. 2018. “Optimal energy recovery by means of pumps as turbines (PATs) for improved WDS management.” Water Sci. Technol. Water Supply 18 (4): 1365–1374. https://doi.org/10.2166/ws.2017.202.
Venturini, S., S. Alvisi, S. Simani, and L. Manservigi. 2018. “Comparison of different approaches to predict the performance of pumps as turbines (PATs).” Energies 11: 1016. https://doi.org/10.3390/en11041016.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 148Issue 11November 2022

History

Received: Oct 26, 2021
Accepted: Jun 10, 2022
Published online: Aug 26, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 26, 2023

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Dept. of Electrical Engineering and Automatic Control, Univ. of Córdoba, Campus Rabanales, Edif. da Vinci, Córdoba 14071, Spain (corresponding author). ORCID: https://orcid.org/0000-0002-0466-9540. Email: [email protected]
Rafael Gonzalez Perea [email protected]
Research Fellow, Dept. of Agronomy, Univ. of Córdoba, Campus Rabanales, Edif. da Vinci, Córdoba 14071, Spain. Email: [email protected]
Juan Antonio Rodríguez Díaz [email protected]
Associate Professor, Dept. of Agronomy, Univ. of Córdoba, Campus Rabanales, Edif. da Vinci, Córdoba 14071, Spain. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Bypass Control strategy of a Pump as Turbine in a Water Distribution Network for energy recovery, Journal of Physics: Conference Series, 10.1088/1742-6596/2385/1/012123, 2385, 1, (012123), (2022).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share