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Optimal Design of Pressurized Irrigation Networks to Minimize the Operational Cost under Different Management Scenarios

Author

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  • I. Fernández García

    (University of Cordoba)

  • P. Montesinos

    (University of Cordoba)

  • E. Camacho Poyato

    (University of Cordoba)

  • J. A. Rodríguez Díaz

    (University of Cordoba)

Abstract

The adoption of measures leading to higher efficiencies in the use of both water and energy in water distribution networks is strongly demanded. The methodology proposed combines a multi-objective approach and a financial analysis to determine de optimal design of pressurized irrigation networks which entails the minimization of both the investment cost and operational cost under three operating scenarios that incorporate energy saving strategies: 1- all hydrants operate simultaneously; 2- hydrants are grouped into sectors and irrigation turns are established; 3- the on-demand operation of the network is assumed. This methodology has been applied in a real irrigation network located in Southern Spain showing that the lowest overall design cost (investment and operational costs) is achieved in scenario 2. The comparison of the selected solutions in the three proposed scenarios with the current network design considering the total fulfillment of irrigation requirements showed that operational cost savings between 65% and 76% could be achieved.

Suggested Citation

  • I. Fernández García & P. Montesinos & E. Camacho Poyato & J. A. Rodríguez Díaz, 2017. "Optimal Design of Pressurized Irrigation Networks to Minimize the Operational Cost under Different Management Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1995-2010, April.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:6:d:10.1007_s11269-017-1629-2
    DOI: 10.1007/s11269-017-1629-2
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    References listed on IDEAS

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    1. R. Perea & E. Poyato & P. Montesinos & J. Díaz, 2015. "Irrigation Demand Forecasting Using Artificial Neuro-Genetic Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5551-5567, December.
    2. J. Reca & J. Martínez & C. Gil & R. Baños, 2008. "Application of Several Meta-Heuristic Techniques to the Optimization of Real Looped Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1367-1379, October.
    3. Qi Wang & Enrico Creaco & Marco Franchini & Dragan Savić & Zoran Kapelan, 2015. "Comparing Low and High-Level Hybrid Algorithms on the Two-Objective Optimal Design 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. 29(1), pages 1-16, January.
    4. Jacob Chandapillai & K. Sudheer & S. Saseendran, 2012. "Design of Water Distribution Network for Equitable Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(2), pages 391-406, January.
    5. Tarjuelo, José M. & Rodriguez-Diaz, Juan A. & Abadía, Ricardo & Camacho, Emilio & Rocamora, Carmen & Moreno, Miguel A., 2015. "Efficient water and energy use in irrigation modernization: Lessons from Spanish case studies," Agricultural Water Management, Elsevier, vol. 162(C), pages 67-77.
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    Cited by:

    1. 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.
    2. Chen Bai & Lixiao Yao & Cheng Wang & Yongxuan Zhao & Weien Peng, 2022. "Optimization of Water and Energy Spatial Patterns in the Cascade Pump Station Irrigation District," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    3. Mérida García, A. & González Perea, R. & Camacho Poyato, E. & Montesinos Barrios, P. & Rodríguez Díaz, J.A., 2020. "Comprehensive sizing methodology of smart photovoltaic irrigation systems," Agricultural Water Management, Elsevier, vol. 229(C).
    4. Hashemy Shahdany, S. Mehdy & Firoozfar, Alireza & Maestre, J.M. & Mallakpour, Iman & Taghvaeian, Saleh & Karimi, Poolad, 2018. "Operational performance improvements in irrigation canals to overcome groundwater overexploitation," Agricultural Water Management, Elsevier, vol. 204(C), pages 234-246.
    5. Younes Aminpour & Nicola Lamaddalena & Eisa Maroufpoor, 2022. "Investigation of Infrastructural and Management Actions to Increase the Resilience of Existing Pressurized Irrigation Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6073-6092, December.
    6. Kamrani, Kazem & Roozbahani, Abbas & Hashemy Shahdany, Seied Mehdy, 2020. "Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus," Agricultural Water Management, Elsevier, vol. 239(C).

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