Factores de fiabilidad y eficiencia en la toma de decisiones para la rehabilitación de tuberías

[EN] The methodology that has been developed suggests a sequence of interventions in the water distribution network, identifying the hierarchy of groups of pipes that must be renewed, taking into consideration all the factors associated, both endogenous and exogenous, and the technical limitations i...

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Bibliographic Details
Authors: Alonso Guzmán, Carlos Daniel, Pérez García, Rafael, Herrera Fernández, Antonio Manuel, Izquierdo Sebastián, Joaquín|||0000-0002-6625-7226
Format: article
Publication Date:2013
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:Spanish
OAI Identifier:oai:riunet.upv.es:10251/99469
Online Access:https://riunet.upv.es/handle/10251/99469
Access Level:Open access
Keyword:Water distribution network, Renewal
Hierarchy
Decision-making
Budget constraint
MATEMATICA APLICADA
INGENIERIA HIDRAULICA
Description
Summary:[EN] The methodology that has been developed suggests a sequence of interventions in the water distribution network, identifying the hierarchy of groups of pipes that must be renewed, taking into consideration all the factors associated, both endogenous and exogenous, and the technical limitations in the functioning of the water network considering the annual budget available for the rehabilitation of pipelines. The aim of this work is to develop a model to facilitate the decision-making to the managers of water distribution systems, considering a budget constraint, the amount of linear meters of each group of pipes that provides a maximum benefit in relation to the valuation of influence factors, the benefits and the cost of the rehabilitation. To accomplish this, we use the genetic algorithms tool through Evolver and fuzzy logic, using EPANET to determine the cost of ¿saving¿ electricity and the recovered leakage flow. This model is applied to a case study in the city of Celaya, Guanajuato, Mexico.