Technical Notes
Aug 10, 2021

Metrological State Estimation Approach for Real-Time Water Volume Meter Errors Control

Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 10

Abstract

Apparent losses is a major issue in many water distribution systems, which are hardly assessed due to their complexity, especially those associated with metering errors. Furthermore, individual evaluation of every water meter error is a costly and time-consuming task. This work presents a novel metrological state estimation approach (MSEA) for real-time water volume meter errors control. The proposed methodology is primarily applicable in a collective irrigation system (CIS) or other network where the flow rates at any monitored outflow fall inside a range to assume water meter errors as quasi-constants. The methodology enables further benefit from the advanced metering infrastructures (AMI) in order to apply state estimation (SE) techniques and automatically control the metrological status of all water meters within the network. Therefore, water meters with significant accuracy errors are detected. The application and detection capacity of the proposed method are studied by means of illustrative examples with synthetic but realistic measurement generations.

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Data Availability Statement

All data, models, or code used during the study were provided by a third party (Hidralab). Direct requests for these materials may be made to the provider.

Acknowledgments

Juan Alfonso Figuérez would like to thank the financial support by Hidralab and MINECO through a 2016–2020 grant for the Ph.D. formation in companies (DI-15-08150).

References

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 147Issue 10October 2021

History

Received: Jul 9, 2020
Accepted: Jun 6, 2021
Published online: Aug 10, 2021
Published in print: Oct 1, 2021
Discussion open until: Jan 10, 2022

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Authors

Affiliations

Ph.D. Student, Hydraulics Laboratory, Hidralab Ingeniería y Desarrollos, S.L., Universidad de Castilla-La Mancha (UCLM), Ave. Camilo José Cela, Ciudad Real 13071, Spain (corresponding author). ORCID: https://orcid.org/0000-0001-5217-1707. Email: [email protected]
Javier González, Dr.Eng. [email protected]
Associate Professor, Dept. of Civil Engineering, Universidad de Castilla-La Mancha (UCLM), Ave. Camilo José Cela, Ciudad Real 13071, Spain. Email: [email protected]
Lecturer, Dept. of Civil Engineering, Universidad de Castilla-La Mancha (UCLM), Ave. Camilo José Cela, Ciudad Real 13071, Spain. ORCID: https://orcid.org/0000-0003-2966-3089. Email: [email protected]

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