TECHNICAL PAPERS
Jun 1, 2009

Modeling the Behavior of Flow Regulating Devices in Water Distribution Systems Using Constrained Nonlinear Programming

Publication: Journal of Hydraulic Engineering
Volume 135, Issue 11

Abstract

Currently the modeling of check valves and flow control valves in water distribution systems is based on heuristics intermixed with solving the set of nonlinear equations governing flow in the network. At the beginning of a simulation, the operating status of these valves is not known and must be assumed. The system is then solved. The status of the check valves and flow control valves are then changed to try to determine their correct operating status, at times leading to incorrect solutions even for simple systems. This paper proposes an entirely different approach. Content and co-content theory is used to define conditions that guarantee the existence and uniqueness of the solution. The work here focuses solely on flow control devices with a defined head discharge versus head loss relationship. A new modeling approach for water distribution systems based on subdifferential analysis that deals with the nondifferentiable flow versus head relationships is proposed in this paper. The water distribution equations are solved as a constrained nonlinear programming problem based on the content model where the Lagrangian multipliers have important physical meanings. This new method gives correct solutions by dealing appropriately with inequality and equality constraints imposed by the presence of the flow regulating devices (check valves, flow control valves, and temporarily closed isolating valves). An example network is used to illustrate the concepts.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 135Issue 11November 2009
Pages: 970 - 982

History

Received: Jul 31, 2008
Accepted: May 29, 2009
Published online: Jun 1, 2009
Published in print: Nov 2009

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Authors

Affiliations

Jochen W. Deuerlein [email protected]
Senior Project Engineer, 3S Consult GmbH, 80333 Munich, Germany (corresponding author). E-mail: [email protected]
Angus R. Simpson [email protected]
Professor, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. E-mail: [email protected]
Stephan Dempe [email protected]
Professor, Institute for Numerical Mathematics and Optimization, Dept. of Mathematics and Computer Science, Technical Univ. Bergakademie Freiberg, 09596 Freiberg, Germany. E-mail: [email protected]

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