Abstract

This article presents a novel response methodology for the operational recovery of a drinking water network after an incident causes an interruption of service. The proposed optimization-based methodology allows computing the optimal set of interventions to be performed in order to mitigate, or even prevent, the impact of the incident on the network operation. Besides, a proof-of-concept scheme has been designed for the automatic generation of failure scenarios and the systematic implementation and validation of the proposed response methodology. Several results are presented to demonstrate the capability of the methodology to mitigate harmful incidents, as well as the performance improvements derived from the application of the obtained interventions.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions, namely, the network information, optimization codes, and scenario management scripts.

Acknowledgments

The authors want to thank the European Commission research grant of project H2020 STOP-IT (Grant Agreement No. 740610) for the received support, as well as the Spanish national project L-BEST (Ref. PID2020-115905RB-C21). Besides, the authors wish also to thank the technical support from Aigües de Barcelona.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 149Issue 1January 2023

History

Received: Dec 22, 2021
Accepted: Aug 30, 2022
Published online: Nov 2, 2022
Published in print: Jan 1, 2023
Discussion open until: Apr 2, 2023

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Authors

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Supervision, Safety and Automatic Control Research Center (CS2AC), Universitat Politécnica de Catalunya (UPC), Rambla Sant Nebridi, 22, Terrassa, Barcelona 08222, Spain (corresponding author). ORCID: https://orcid.org/0000-0001-7806-8679. Email: [email protected]
Dept. of Automatic Control, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, Barcelona 08028, Spain. ORCID: https://orcid.org/0000-0002-4790-2031
CETaqua, Water Technology Centre (Agbar Group), Ctra. d’Esplugues, 75, Cornella del Llobregat, Barcelona 08940, Spain. ORCID: https://orcid.org/0000-0002-0488-7556
Vicenç Puig
Professor, Supervision, Safety and Automatic Control Research Center (CS2AC), Universitat Politécnica de Catalunya (UPC), Rambla Sant Nebridi, 22, Terrassa, Barcelona 08222, Spain; Dept. of Automatic Control, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, Barcelona 08028, Spain.
Gabriela Cembrano, Ph.D.
Dept. of Automatic Control, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens Artigas, 4-6, Barcelona 08028, Spain; CETaqua, Water Technology Centre (Agbar Group), Ctra. d’Esplugues, 75, Cornella del Llobregat, Barcelona 08940, Spain.
Bernat Joseph-Duran, Ph.D.
CETaqua, Water Technology Centre (Agbar Group), Ctra. d’Esplugues, 75, Cornella del Llobregat, Barcelona 08940, Spain.
CETaqua, Water Technology Centre (Agbar Group), Ctra. d’Esplugues, 75, Cornella del Llobregat, Barcelona 08940, Spain. ORCID: https://orcid.org/0000-0001-6721-9494
David Saporta
Aigües de Barcelona, Carrer General Batet 1-7, Barcelona 08028, Spain.
Meritxell Minoves
Aigües de Barcelona, Carrer General Batet 1-7, Barcelona 08028, Spain.

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