Revista
Recursos Hdricos
DOI:10.5894/rh40n2-cti4
Este artigo parte integrante da Revista Recursos Hdricos,
Vol. 40, N 2, 39-47, dezembro de 2019.
Optimizacin multi-objeto para la mejora de equidad y fiabilidad en redes de abastecimiento
intermitente
Multi-object optimization for the improvement of equity and
reliability in intermittent supply networks
David Ferras@, 1, Passwell Pepukai Nyahora1,2, Andres Amen3, Joo Ferreira4 and Mukand Singh Babel2
@ Autor correspondente: joao.cavaleiro.ferreira@tecnico.ulisboa.pt
1 Environmental Engineering and Water Technology, IHE Delft Institute of Water, Delft, 2611 AX, The Netherlands.
2 Water Engineering and Management, Asian Institute of Technology, Bangkok,12120, Thailand.
3 POLICONSTRUC-ALEXER Consortium, Ecuador.
4 CERIS, Instituto Superior Tcnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
RESUMEN
Sistemas de redes en rgimen intermitente estn sometidos a una serie de problemticas como distribucin desequilibrada, baja fiabilidad y pobre calidad de agua. La toma de decisiones en redes intermitentes es compleja y, a pesar de los limitados recursos naturales y econmicos, la provisin del servicio de agua es primordial. Hasta la fecha, poca investigacin ha sido dirigida a la mejora de sistemas de abastamiento de agua intermitentes o a su transicin a sistemas en rgimen continuo. En el presente estudio una herramienta de optimizacin multi-objeto por medio de un algoritmo gentico es desarrollada para dar soporte a la toma de decisiones. Equidad y fiabilidad de la red son maximizadas versus el coste de las actuaciones asociadas. Las actuaciones se han clasificadas en sustitucin de tuberas, bombas de elevacin y depsitos de distribucin. El cdigo implementado es finalmente verificado usando una red sinttica.
Palabras clave: Equidad, fiabilidad, abastecimiento intermitente, optimizacin multi-objeto, algoritmos genticos.
ABSTRACT
Intermittent network systems are subjected to a series of problems such as unbalanced distribution, low
reliability and poor water quality. Decision making in intermittent networks is complex and, despite the limited natural and
economic resources, the provision of water service is a priority. To date, little research has been focused on the improvement
of intermittent water supply or on the transition to continuous systems.
In the present study, a multi-object optimization tool based on a genetic algorithm is developed to support decision making.
Equity and reliability of the network are maximized versus the cost of the proposed measures. The intervention measures
have been classified in the replacement of pipes, of pumps and of storage tanks. The implemented code is finally verified
using an artificial network.
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