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Pumping station regulation in on-demand irrigation networks using strategic control nodes

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  • Córcoles, J.I.
  • Tarjuelo, J.M.
  • Moreno, M.A.

Abstract

The development of tools focused on the management of branched irrigation networks is important for the efficient use of water and energy resources. The objective of this paper is to develop and validate a methodology and an Optimum Regulation of Pumping Stations (ORPS) tool to estimate the pressure head at all the nodes of an irrigation network based on the pressure head at a few strategic nodes of the network that are used for pumping station control. Once the pressure head at all nodes in the network is estimated, the pressure head at the pumping station can be adjusted to supply the exact pressure necessary to ensure the minimum pressure in the most restrictive of the open nodes of the network. This paper is based on the generation of demand scenarios, which aim to represent a whole range of discharges and not only the design discharge. The tool developed with this methodology has been applied in two on-demand irrigation networks with manometric regulation located in Castilla—La Mancha region (Spain). Moreover, in the analyzed irrigation networks, the use of three strategic nodes estimated the pressure of the reminder hydrants highly accurately. Thus, increasing the number of control points would not improve the accuracy of the estimates and would increase the complexity of the automation system. Using the proposed methodology, energy savings of nearly 3–5% were obtained relative to the average energy consumed for manometric regulation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:163:y:2016:i:c:p:48-56
    DOI: 10.1016/j.agwat.2015.09.001
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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. Córcoles, J.I. & de Juan, J.A. & Ortega, J.F. & Tarjuelo, J.M. & Moreno, M.A., 2010. "Management evaluation of Water Users Associations using benchmarking techniques," Agricultural Water Management, Elsevier, vol. 98(1), pages 1-11, December.
    3. J. Rodríguez Díaz & P. Montesinos & E. Poyato, 2012. "Detecting Critical Points in On-Demand Irrigation Pressurized Networks – A New Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1693-1713, April.
    4. Jiménez-Bello, M.A. & Royuela, A. & Manzano, J. & Prats, A. García & Martínez-Alzamora, F., 2015. "Methodology to improve water and energy use by proper irrigation scheduling in pressurised networks," Agricultural Water Management, Elsevier, vol. 149(C), pages 91-101.
    5. 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.
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    Cited by:

    1. R. Khadra & M. A Moreno & H. Awada & N. Lamaddalena, 2016. "Energy and Hydraulic Performance-Based Management of Large-Scale Pressurized Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3493-3506, August.
    2. 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.

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