District Information Areas: A Distributed Decision-Making Approach for Urban Water Systems

This paper presents a comparison between traditional District Metered Areas (DMAs) and an innovative concept called District Information Areas (DIAs) in managing water distribution systems (WDSs). Both aim to improve efficiency and resilience, but differ in approach. DMAs use physical segmentation with measurement devices mainly for leak detection, while DIAs employ smart sensors and data analytics for decentralised management. DIAs operate semi-autonomously, making local decisions based on data analysis and coordinating with neighbouring areas. While traditional methods still play a role in maintenance, DIAs aim to enhance sensor coverage and support future digital twin development. The advantages of DIAs include reduced latency, increased flexibility, improved efficiency, and enhanced resilience during disruptions.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.3390/engproc2024069064
Citations
1
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.26
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article

District Information Areas: A Distributed Decision-Making Approach for Urban Water Systems

Enrico Creaco, Carlo Giudicianni, Manuel Herrera
1 citations
Water Systems and Optimization
0.26
article

District Information Areas: A Distributed Decision-Making Approach for Urban Water Systems

Enrico Creaco, Carlo Giudicianni, Manuel Herrera
article en
1 citations

Abstract

This paper presents a comparison between traditional District Metered Areas (DMAs) and an innovative concept called District Information Areas (DIAs) in managing water distribution systems (WDSs). Both aim to improve efficiency and resilience, but differ in approach. DMAs use physical segmentation with measurement devices mainly for leak detection, while DIAs employ smart sensors and data analytics for decentralised management. DIAs operate semi-autonomously, making local decisions based on data analysis and coordinating with neighbouring areas. While traditional methods still play a role in maintenance, DIAs aim to enhance sensor coverage and support future digital twin development. The advantages of DIAs include reduced latency, increased flexibility, improved efficiency, and enhanced resilience during disruptions.

University of Pavia (IT), Newcastle University (GB)
Openalex Percentile: Top 45%
Water Systems and Optimization
0.26
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