TITLE:
The Optimization of Irrigation Networks Using Genetic Algorithms
AUTHORS:
Francisco Fernando Noronha Marcuzzo, Edson Cezar Wendland
KEYWORDS:
Conduits under Pressure, Hydraulic Head, Micro-Sprinkler Irrigation, Mathematical Optimisation
JOURNAL NAME:
Journal of Water Resource and Protection,
Vol.6 No.12,
September
25,
2014
ABSTRACT: Mathematical-computational
optimisation models of irrigation networks with a distributed flow that are
capable of providing hydraulic data are important for understanding the
behaviour of a system in relation to the distribution of the hydraulic head
(energy) and the pressure in the pipes of the network. The objective of this
study was to examine the distribution of the parameters of hydraulic irrigation
pipes, which were optimised using genetic algorithms. The degree of the
optimisation was evaluated with the help of the genetic algorithms based on the
diameters of stretch of the network: two for the lateral lines, four for the
derivation lines, four for the secondary lines and one for the main line. A
MatLab code was developed that considered all of the losses of energy, both
distributed losses and those at specific locations between the beginning of the
network and the pump system. The sensitivity analysis was based on the
variations in the slope of the ground (0%, 2.5% and 5%). The results show that
for pipes with a distributed flow, the influence of the behaviour of the
kinetic energy in the pipe contributed to the distance between the energy lines
and the piezometric lines at the beginning of each stretch after the decrease
in the diameter of the pipes. At the end of the pipes, the values of the energy
lines and the piezometric lines were very similar, and they were essentially
the same for the final emitter.