Result: Economic level of reliability for the rehabilitation of hydraulic networks

Title:
Economic level of reliability for the rehabilitation of hydraulic networks
Authors:
TRICARICO, C, GARGANO, R, KAPELAN, Z, SAVIC, D, DE MARINIS, G
Source:
Eighth International Conference on Computing and Control for the Water IndustryCivil engineering and environmental systems (Print). 23(3):191-207
Publisher Information:
Reading: Taylor and Francis, 2006.
Publication Year:
2006
Physical Description:
print, 21 ref
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Civil engineering, Génie civil, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Alimentation en eau. Canalisations. Traitement de l'eau, Water supply. Pipings. Water treatment, Distribution. Stockage, Distribution. Storage, Algorithme génétique, Genetic algorithm, Algoritmo genético, Aspect économique, Economic aspect, Aspecto económico, Congrès international, International conference, Congreso internacional, Distribution eau, Water distribution, Distribución agua, Etude cas, Case study, Estudio caso, Fiabilité, Reliability, Fiabilidad, Formulation, Formulación, Hydraulique, Hydraulics, Hidraúlica, Incertitude, Uncertainty, Incertidumbre, Optimisation, Optimization, Optimización, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Réhabilitation, Rehabilitation, Rehabilitación, Réseau adduction eau, Water supply system network, Red aducción agua, Hydraulic reliability, Multiobjective optimisation, Pipe network
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dipartimento di Meccanica, Strutture e Ambiente e Territorio (DiMSAT), University of Cassino, via Di Biasio, 43, Cassino, Frosinone, Italy
Centre for Water Systems, University of Exeter, Harrison Building, North Park Road, Exeter, Devon, United Kingdom
ISSN:
1028-6608
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18032787
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.18032787
Database:
PASCAL Archive

Further Information

The problem of water distribution system rehabilitation is formulated here as a multiobjective optimisation problem under uncertainty. The two objectives are to minimise the structural rehabilitation cost and to maximise the hydraulic reliability of the system. In this context, reliability is defined as a probability of simultaneously satisfying minimum pressure head constraints at all nodes in the network. An economic analysis has been performed, taking into account not only the structural costs but also lost revenue owing to the volume of water required by users but not supplied to them because of the structural inadequacy of the network. Because of the uncertainty in water demand, a probabilistic approach is used within the optimisation model. The probabilistic distribution and its parameters were estimated through an experimental study conducted on a real water distribution network. The recently developed robust Non-dominated Sorting Genetic Algorithm II optimisation algorithm is used to solve the optimisation problem. The methodology presented allows the identification of the specific optimal solution of the Pareto front that corresponds to minimal structural cost and minimal lost revenue yet corresponding to a high level of reliability - the economic level of reliability. This value could be assumed as the optimal solution or as a lower threshold, which restricts the gamut of technically feasible solutions that could be adopted in a rehabilitation programme.