Leak Detection and Localization through Demand Components Calibration
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 2
Abstract
Success in the application of any model-based methodology (e.g., design, control, supervision) highly depends on the availability of a well-calibrated model. The calibration of water distribution networks needs to be performed online due to the continuous evolution of demands. During the calibration process, background leakages or bursts can be unintentionally incorporated to the demand model and treated as a system evolution (change in demands). This work proposes a leak-detection and localization approach to be coupled with a calibration methodology that identifies geographically distributed parameters. The approach proposed consists in comparing the calibrated parameters with their historical values to assess if changes in these parameters are caused by a system evolution or by the effect of leakage. The geographical distribution allows unexpected behavior of the calibrated parameters (e.g., abrupt changes, trends, etc.) to be associated with a specific zone in the network. The performance of the methodology proposed is tested on a real water distribution network using synthetic data. Tested scenarios include leaks occurring at different locations and ranging from 2.5 to 13% of the total consumption. Leakage is represented as pressure-dependent demand simulated as emitter flows at the network nodes. Results show that even considering a low number of sensors, leaks with an effect on parameters higher than the parameters’ uncertainty can be correctly detected and located within 200 m.
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Acknowledgments
This work was supported in part by the project FP7-ICT-2012-318556 (EFFINET) and FP7-ICT-2012-318272 (iWIDGET) of the European Commission, by the Project DPI2014-58104-R (HARCRICS), and by the Polytechnic University of Catalonia. The model of the real network was provided by the Barcelona Water Company AGBAR.
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Published In
Journal of Water Resources Planning and Management
Volume 142 • Issue 2 • February 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Feb 28, 2015
Accepted: Jul 21, 2015
Published online: Sep 21, 2015
Published in print: Feb 1, 2016
Discussion open until: Feb 21, 2016
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