Analysis of a Town's Water Distribution System

Martínez-Bahena, Beatriz; Cruz-Chávez, Marco Antonio; Peralta-Abarca, Jesús del Carmen; Juarez-Chavez, Jazmin Y.; Ortiz-Huerta, Ariadna; Moreno-Bernal, Pedro

doi:10.1109/icmeae.2014.25

Cited by 1 publication

(4 citation statements)

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“…Even when negative pressures are hydraulically impossible, EPANET mathematically obtains them and gives them as a result of an inappropriate performance of the network, due to it having the lowest or no pressures. At the other extreme, excess pressure could lead to problems of pipe ruptures, thus leading to water leaks and economic loss [35]. This was the first test, and it was carried out by using the initial design of the FRM instance, previously described.…”

Section: Water Distribution Problem (Case Study)mentioning

confidence: 99%

“…A constraint satisfaction model is presented [35], in which a set of hydraulic constraints must be met in order to obtain proper system functioning by satisfying the needs of the users.…”

Section: Constraint Satisfaction Modelmentioning

confidence: 99%

“…In this work, the novel algorithm finds the best solution for the FRM real network instance (which has a previously defined design) by adding new elements with the lowest possible cost to obtain good performance of the network. [35].…”

Section: Introductionmentioning

confidence: 99%

“…For the solution to be feasible, the maximum pressure requirements must be considered. The graph shows high pressures at several points in the network (red vertices, Figure 3a); therefore, the solution is unfeasible [35].…”

mentioning

confidence: 99%

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Using a Genetic Algorithm with a Mathematical Programming Solver to Optimize a Real Water Distribution System

Martínez-Bahena

Cruz-Chávez

Ávila-Melgar

et al. 2018

Water

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This research proposes a genetic algorithm that provides a solution to the problem of deficient distribution of drinking water via the current hydraulic network in the neighborhood “Fraccionamiento Real Montecasino” (FRM), in Huitzilac, Morelos, Mexico. The proposed solution is the addition of new elements to the FRM network. The new elements include storage tanks, pipes, and pressure-reducing valves. To evaluate the constraint satisfaction model of mass and energy conservation, the hydraulic EPANET solver (HES) is used with an optimization model to minimize the total cost of changes in the network (new pipes, tanks, and valves). A genetic algorithm was used to evaluate the optimization model. The analysis of the results obtained by the genetic algorithm for the FRM network shows that adequate and balanced pressures were obtained by means of small modifications to the existing network, which entailed minimal costs. Simulations were performed for an extended period, which means that the pressure was obtained by simulation with HSE at one-hour intervals, during the algorithm execution, to verify adequate pressure at a specific point in the system, or to make corrections to ensure proper distribution, this with the aim of having a final optimized network design.

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Section: Water Distribution Problem (Case Study)mentioning

confidence: 99%

“…A constraint satisfaction model is presented [35], in which a set of hydraulic constraints must be met in order to obtain proper system functioning by satisfying the needs of the users.…”

Section: Constraint Satisfaction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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