Stochastic Approach for the Analysis of Demand Induced Transients in Real Water Distribution Systems
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 1
Abstract
A stochastic approach for modeling and analysing the transients due to the users’ water consumptions in a real water distribution system is presented. The analysis is based on field measurements of water consumption at each user and pressure at three nodes, acquired at 1 min and 0.01 s time step, respectively. The hydraulic numerical model used is based on the method of characteristics and includes the unsteady friction. Several scenarios of water consumptions at 1-s time step are generated starting from those observed. The corresponding pressure variation scenarios are given by the numerical model and stochastically compared with the measured values. The analysis of the results shows that the approach is capable of stochastically reproducing the dynamic behavior of the system. Specifically, the generated water consumption scenarios with random maneuvering times allow properly reproducing the main statistics (mean, variance, and minimum and maximum values) of the observed pressures. Finally, the average cumulative distribution of the simulated pressure viably simulates the cumulative distribution of the observed ones from a stochastic point of view.
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Data Availability Statement
Data and code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This research was supported jointly by the University of Ferrara, under the project “Green Smart Technologies for Water” (No. F72I16000020009), the Italian Ministry of Education, University and Research (MIUR), and the University of Perugia within the framework of the programme “Dipartimenti di Eccellenza 2018-2022.”
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Journal of Water Resources Planning and Management
Volume 148 • Issue 1 • January 2022
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© 2021 American Society of Civil Engineers.
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Received: Jan 29, 2021
Accepted: Sep 20, 2021
Published online: Oct 30, 2021
Published in print: Jan 1, 2022
Discussion open until: Mar 30, 2022
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