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

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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 %.

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Abbreviations

γ:

Water specific weight

η:

Global efficiency of pumps

EC (ECnorm):

Energy consumption (normalized term of EC)

CMPD (CMPDnorm):

Penalty factor depending on the magnitude of pressure (normalized term of CMPD)

h ∗j :

Hydraulic dimensionless coordinate

Hi :

Pressure head of pumping station i

Hw-j :

Required weighted pressure head when hydrant j operates

Hw-mch :

Required weighted pressure head when the most critical hydrant operates

i:

Pumping stations index

j:

Hydrant index

l ∗j :

Topological dimensionless coordinate related to friction losses in pipes

lj-i :

Distance between the hydrant j and the pumping station i

lmax-i :

Distance between the furthest hydrant and the pumping station i

nv :

Number of decision variables

N:

Number of pumping stations

Pf:

Pressure failure percentage

Qi :

Pumped flow by pumping station i

trs :

Daily irrigation time required during month s

z ∗j :

Topological dimensionless coordinate related to the hydrant elevation j

zi :

Pumping station elevation i

zj :

Hydrant elevation j

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Acknowledgments

This research is part of the AMERE project (AGL2011-30328-C02-02), funded by the Spanish Ministry of Economy and Competitiveness.

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Authors and Affiliations

  1. Department of Agronomy, University of Cordoba, Campus Rabanales, Edif. Da Vinci, 14071, Cordoba, Spain

    I. Fernández García, P. Montesinos, E. Camacho Poyato & J. A. Rodríguez Díaz

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  1. I. Fernández García
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  2. P. Montesinos
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  3. E. Camacho Poyato
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  4. J. A. Rodríguez Díaz
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Correspondence to I. Fernández García.

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García, I.F., Montesinos, P., Poyato, E.C. et al. Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points. Water Resour Manage 28, 1095–1109 (2014). https://doi.org/10.1007/s11269-014-0538-x

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  • DOI: https://doi.org/10.1007/s11269-014-0538-x

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