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Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points

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  • I. García
  • P. Montesinos
  • E. Poyato
  • J. Díaz

Abstract

The modernization processes of hydraulic infrastructures from old open channels to pressurized networks have increased water use efficiency along with a dramatic increase of energy consumptions. The significant energy requirements associated with the increment of the energy tariffs for irrigation involve higher production costs for farmers. Therefore, strategies to reduce energy consumption in irrigation districts are strongly demanded. Methodologies based on sectoring and critical points control have been applied to branched networks with a single water supply point, obtaining significant energy savings. In this work, a new critical point control methodology for networks with multiple sources has been developed: the WEPCM algorithm, which uses the NSGA-II multi-objective evolutionary algorithm to find the lowest energy consumption operation rule of a set of pumping stations connected to an irrigation network that satisfies the pressure requirements, when the critical points are successively disabled. WECPM has been applied to a real irrigation district in Southern Spain. The obtained results were compared with those achieved by the WEBSOM algorithm, developed for sectoring multiple source networks. The control of critical points by the replacement of two pipes and the installation of four booster pumps provided annual energy savings of 36 % compared to the current network operation. Moreover, the control of critical points was more effective than sectoring, obtaining an additional annual energy saving of 10 %. Copyright Springer Science+Business Media Dordrecht 2014

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  • I. García & P. Montesinos & E. Poyato & J. Díaz, 2014. "Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1095-1109, March.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:4:p:1095-1109
    DOI: 10.1007/s11269-014-0538-x
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    References listed on IDEAS

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    1. I. Fernández García & J. Rodríguez Díaz & E. Camacho Poyato & P. Montesinos, 2013. "Optimal Operation of Pressurized Irrigation Networks with Several Supply Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2855-2869, June.
    2. Jackson, Tamara M. & Khan, Shahbaz & Hafeez, Mohsin, 2010. "A comparative analysis of water application and energy consumption at the irrigated field level," Agricultural Water Management, Elsevier, vol. 97(10), pages 1477-1485, October.
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    4. Calvin Siew & Tiku Tanyimboh, 2012. "Penalty-Free Feasibility Boundary Convergent Multi-Objective Evolutionary Algorithm for the Optimization of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4485-4507, December.
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    2. Yu-Hao Lin & Yi-Ping Chen & Ming-Der Yang & Tung-Ching Su, 2016. "Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 487-503, January.
    3. Córcoles, J.I. & Tarjuelo, J.M. & Moreno, M.A., 2016. "Pumping station regulation in on-demand irrigation networks using strategic control nodes," Agricultural Water Management, Elsevier, vol. 163(C), pages 48-56.
    4. Lima, F.A & Martínez-Romero, A. & Tarjuelo, J.M. & Córcoles, J.I., 2018. "Model for management of an on-demand irrigation network based on irrigation scheduling of crops to minimize energy use (Part I): Model Development," Agricultural Water Management, Elsevier, vol. 210(C), pages 49-58.
    5. Fernández García, I. & Creaco, E. & Rodríguez Díaz, J.A. & Montesinos, P. & Camacho Poyato, E. & Savic, D., 2016. "Rehabilitating pressurized irrigation networks for an increased energy efficiency," Agricultural Water Management, Elsevier, vol. 164(P2), pages 212-222.
    6. Lima, F.A. & Córcoles, J.I. & Tarjuelo, J.M. & Martínez-Romero, A., 2019. "Model for management of an on-demand irrigation network based on irrigation scheduling of crops to minimize energy use (Part II): Financial impact of regulated deficit irrigation," Agricultural Water Management, Elsevier, vol. 215(C), pages 44-54.
    7. Yu-Hao Lin & Yi-Ping Chen & Ming-Der Yang & Tung-Ching Su, 2016. "Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 487-503, January.

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