Technical Papers
Oct 16, 2018

Content-Based Active-Set Method for the Pressure-Dependent Model of Water Distribution Systems

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 1

Abstract

A new content-based, box-constrained, active-set projected Newton method is presented that solves for the heads, the pipe flows, and the nodal outflows of a water distribution system in which nodal outflows are pressure dependent. The new method is attractive because, by comparison with the previously published weighted least-squares energy and mass residuals (EMR) damped Newton method, (1) it typically takes fewer iterations, (2) it does not require damping, (3) it takes less wall-clock time, (4) it does not require the addition of any virtual elements, and (5) it is algorithmically easier to deal with. Various pressure-outflow relationships (PORs), which model nodal outflows, were considered and two new PORs are presented. The new method is shown, by application to eight previously published case study networks with up to about 20,000 pipes and 18,000 nodes, to be up to five times faster than the EMR method and to take between 34% and 70% fewer iterations than the EMR method.

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Acknowledgments

The work presented in this paper is part of the French–German collaborative research project ResiWater that is funded by the French National Research Agency (ANR) (Project: ANR-14-PICS-0003) and the German Federal Ministry of Education and Research (BMBF) (Project: BMBF-13N13690). The authors gratefully acknowledge the anonymous reviewers whose comments led to an improved paper.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 1January 2019

History

Received: Dec 18, 2017
Accepted: May 30, 2018
Published online: Oct 16, 2018
Published in print: Jan 1, 2019
Discussion open until: Mar 16, 2019

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Authors

Affiliations

Jochen W. Deuerlein
Senior Researcher, 3S Consult GmbH, Albtalstrasse 13, D 76137 Karlsruhe, Germany; Adjunct Senior Lecturer, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.
Olivier Piller
Senior Research Scientist, Dept. of Water, Bordeaux Regional Centre, National Research Institute of Science and Technology for Environment and Agriculture, 50 Ave. de Verdun, Gazinet, F-33612 Cestas, France.
Sylvan Elhay [email protected]
Visiting Research Fellow, School of Computer Science, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author). Email: [email protected]
Angus R. Simpson, M.ASCE
Professor, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

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