Technical Papers
Oct 8, 2015

Decomposition Approach for Background Leakage Assessment: BBLAWN Instance

Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 5

Abstract

This paper summarizes an approach for the assessment and control of background leakage on water distribution networks. The methodology was developed for the battle of background leakage assessment for water networks (BBLAWN) held at the Water Distribution System Analysis Conference 2014 in Bari, Italy. The problem instance posed for the conference considers an aging water network with high levels of background leakage. A range of operational and design changes including new valves, pipes, pumps, tanks, and controls are available to reduce the expenditure needed to operate the system. Constraints are imposed on nodal pressures and tank levels to meet service level requirements. The solution methodology proposed in this paper decomposes the problem according to the type of intervention, considering each type separately. An initial diagnosis of the network informs the manner and order of evaluating the various interventions. Custom implementations of network simulation, heuristic algorithms, and optimization models are used to identify improvements. The recommended program of network modifications reduced the annual cost of running the system from €4 million to €1.5 million and had a return on investment in network infrastructure of 430%.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 142Issue 5May 2016

History

Received: Feb 1, 2015
Accepted: Aug 11, 2015
Published online: Oct 8, 2015
Discussion open until: Mar 8, 2016
Published in print: May 1, 2016

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Authors

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Bradley J. Eck, M.ASCE [email protected]
IBM Research, Technology Campus Building 3 F-16, Mulhuddart, Dublin 15, Ireland (corresponding author). E-mail: [email protected]
Ernesto Arandia [email protected]
IBM Research, Technology Campus Building 3, Mulhuddart, Dublin 15, Ireland. E-mail: [email protected]
Joe Naoum-Sawaya [email protected]
Ivey Business School, Western Univ., 1255 Western Rd., London, ON, Canada N6G 0N1. E-mail: [email protected]
Fabian R. Wirth [email protected]
Faculty of Computer Science and Mathematics, Univ. of Passau, 94032 Passau, Germany. E-mail: [email protected]

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