TECHNICAL PAPERS
Mar 1, 2006

Multi-Objective Trade-Offs between Cost and Reliability in the Replacement of Water Mains

Publication: Journal of Water Resources Planning and Management
Volume 132, Issue 2

Abstract

Two of the main performance criteria of a water distribution system are that it is inexpensive to construct, operate, and maintain and that it operates in a reliable manner. These two criteria are often conflicting, thus implying that the decision maker needs to reach a compromise in scheduling mains for replacement. One way to facilitate this decision is to generate a trade-off surface that represents the compromise between the two objectives. This paper demonstrates the use of genetic algorithms to generate trade-off curves between cost and reliability for pipe replacement decisions. Curves for two planning scenarios are generated. The first identifies the trade-offs necessary for the current conditions. The second allows the water authority to determine the required levels of future expenditure, given funding constraints, to meet a specified level of service over the entire planning horizon. Alternatively, it provides an estimate of the impact on performance of delaying expenditure.

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Acknowledgments

This research was carried out while the second writer was funded by a Postgraduate Award from the Australian Research Council. The writers wish to thank John Nadilo, Glen O’Hara, and Paul Feronas of the South Australian Water Corporation, for their time in providing useful comments and for access to the data used in this research. Also the helpful comments of the three referees are gratefully acknowledged.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 132Issue 2March 2006
Pages: 79 - 88

History

Received: Oct 23, 2001
Accepted: Sep 2, 2004
Published online: Mar 1, 2006
Published in print: Mar 2006

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Authors

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G. C. Dandy [email protected]
Professor, Centre for Applied Modeling in Water Engineering, School of Civil and Environmental Engineering, Univ. of Adelaide 5005, Australia. E-mail: [email protected]
M. O. Engelhardt [email protected]
Manager, SEAMS, Provincial House, Solly St., Sheffield S1 4BA, U.K. E-mail: [email protected]

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