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Mar 1, 2006

Alternative Decision Making in Water Distribution Network with NSGA-II

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

Abstract

Cost of effective design or rehabilitation of the pipe networks depends largely on the available budget and satisfying pressures expected at the demand nodes. With the available market pipe sizes, one or more solutions of the same cost, the least cost, and simultaneously meeting the pressure constraints can be obtained from EPANET, a water distribution network simulation model, coupled with an optimization algorithm. Often, however, the least cost may be prohibitive from the overall budget consideration especially in developing countries and a less optimal solution is therefore the only option. The study shows a scheme in which solution selection is made, among solutions, which (1) is within allowable budget; and (2) yields acceptable total pressure deficit distributed more equally at several nodes instead of loaded on one or a few nodes only. A multiobjective optimization algorithm (NSGA-II) is coupled with water distribution network simulation software (EPANET) to provide the much needed Pareto front of the cost and nodal pressure deficit. A two-looped simple network is used to demonstrate the application of the scheme.

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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: 122 - 126

History

Received: Sep 7, 2004
Accepted: Jul 15, 2005
Published online: Mar 1, 2006
Published in print: Mar 2006

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Authors

Affiliations

Md. Atiquzzaman
Research Scholar, Dept. of Civil Engineering, National Univ. of Singapore, Blk E1A, #07-03, 1 Engg Dr. 2, Singapore 117576.
Shie-Yui Liong, M.ASCE [email protected]
Associate Professor, Dept. of Civil Engineering, National Univ. of Singapore, Blk E1A, #07-03, 1 Engg Dr. 2, Singapore 117576. E-mail: [email protected]
Xinying Yu
Research Scholar, Dept. of Civil Engineering, National Univ. of Singapore, Blk E1A, #07-03, 1 Engg Dr. 2, Singapore 117576.

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