Technical Papers
Feb 20, 2018

Assessing the Observability of Demand Pattern Multipliers in Water Distribution Systems Using Algebraic and Numerical Derivatives

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 5

Abstract

The estimation of user demands in water distribution systems is usually based on flow and pressure measurements in the system. Even when the number of measurements is larger than or equal to the number of unknowns, the system may not be observable; i.e., not all unknown variables can be estimated. Common estimation methods (e.g., the weighted least-square error) do not automatically identify an unobservable system and may provide unreliable results. This paper builds on the algebraic approach recently proposed, where the unknown variables considered were the nodal heads, and modifies the approach in order to estimate the demand multipliers of the demand patterns. A comparison between algebraic and finite difference derivatives is also presented and shows that finite differences cannot be used to assess the observability of the system.

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Acknowledgments

The authors would like to gratefully acknowledge the partial funding support provided by the CBET Directorate, Environmental Engineering (NSF) through Award No. 1511959 (S. M. M. Rana and D. L. Boccelli).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 5May 2018

History

Received: May 3, 2017
Accepted: Sep 22, 2017
Published online: Feb 20, 2018
Published in print: May 1, 2018
Discussion open until: Jul 20, 2018

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Authors

Affiliations

Angela Marchi [email protected]
Lecturer, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide 5005, Australia (corresponding author). E-mail: [email protected]
Graeme C. Dandy, M.ASCE [email protected]
Emeritus Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide 5005, Australia. E-mail: [email protected]
Dominic L. Boccelli, A.M.ASCE [email protected]
Associate Professor, Dept. of Chemical and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221-0012. E-mail: [email protected]
S. M. Masud Rana [email protected]
Graduate Research Assistant, Dept. of Chemical and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221-0012. E-mail: [email protected]

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