Technical Papers
Dec 8, 2021

Adaptive Model Predictive Control for Fire Incidents in Water Distribution Networks

Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 2

Abstract

The real-time control of water distribution networks for firefighting is an important but little-studied problem. Water utilities in England and Wales reduce hydraulic pressure to a minimum regulatory threshold in order to reduce leakage and avoid financial penalties. However, utilities are not legally bound to guarantee specific flow rates from fire hydrants, which poses a risk for firefighting. This study presents an adaptive nonlinear model predictive control scheme for water distribution networks integrating two modes of control: (1) normal control, when a network operates under normal conditions and the objective is to minimize energy costs and average zonal pressure, and (2) fire control, when fire flows need to be delivered from hydrants without exceeding maximum pressure and customer demand is maintained to the best extent possible. The proposed scheme is applied to an operational network. It demonstrates the combined benefits of reducing costs and leakage with increased fire flows.

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Data Availability Statement

The network model data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work is fully supported by the EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 148Issue 2February 2022

History

Received: Feb 15, 2021
Accepted: Sep 23, 2021
Published online: Dec 8, 2021
Published in print: Feb 1, 2022
Discussion open until: May 8, 2022

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Research Associate, Dept. of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK (corresponding author). ORCID: https://orcid.org/0000-0002-8178-3339. Email: [email protected]
Reader, Dept. of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK. ORCID: https://orcid.org/0000-0003-0600-2894

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