Technical Papers
Oct 14, 2016

Reliability Surrogate Measures for Water Distribution System Design: Comparative Analysis

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 2

Abstract

Because of the large computational burden associated with the direct assessment of reliability, the indirect indices of reliability have recently received more attention in the framework of water distribution system design. Two new energy-related indices for reliability evaluation (i.e., available power index and pipe hydraulic resilience index) are developed in this paper. The performance of these new indices is evaluated and compared with that of four existing indices (three other energy-related indices—i.e., resilience index, network resilience index, and modified resilience index—and the entropy-based method, i.e., diameter-sensitive flow entropy) according to the following two-step methodology. In the first step, the application of the multiobjective optimization makes it possible to determine optimal network configurations that trade-off the installation cost (to be minimized) against the generic indirect reliability index (to be maximized). In the second step, the performance of the optimal solutions in terms of explicit reliability assessment is examined under conditions in which the original network is perturbed by applying demand variations and random pipe failures to account for future operating uncertainties. The Hanoi and the Fossolo benchmark networks are used as case studies. The results obtained show that energy-based indices yield an overall superior estimate of reliability in comparison with the diameter-sensitive flow entropy. Furthermore, the new indices show some advantages in the evaluations performed under demand and pipe failure uncertainties.

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Acknowledgments

The data of the Hanoi and Fossolo networks that were used as the case study can be found on the website of the Centre for Water Systems, University of Exeter, United Kingdom (http://emps.exeter.ac.uk/engineering/research/cws/resources/benchmarks/). This study is financially supported by the National Natural Science Foundation of China (51178141).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 2February 2017

History

Received: Dec 19, 2015
Accepted: Aug 16, 2016
Published online: Oct 14, 2016
Published in print: Feb 1, 2017
Discussion open until: Mar 14, 2017

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Haixing Liu [email protected]
Associate Research Fellow, School of Hydraulic Engineering, Dalian Univ. of Technology, Dalian 116024, China; formerly, State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China (corresponding author). E-mail: [email protected]
Dragan A. Savić [email protected]
Professor, College of Engineering, Mathematics and Physical Sciences, Univ. of Exeter, Exeter EX4 4QF, U.K. E-mail: [email protected]
Zoran Kapelan [email protected]
Professor, College of Engineering, Mathematics and Physical Sciences, Univ. of Exeter, Exeter EX4 4QF, U.K. E-mail: [email protected]
Enrico Creaco [email protected]
Assistant Professor, Dipartimento di Ingegneria Civile ed Architettura, Univ. of Pavia, Via Ferrata 3, 27100 Pavia, Italy. E-mail: [email protected]
Yixing Yuan [email protected]
Professor, State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China. E-mail: [email protected]

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