Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas

Water distribution systems (WDSs) today are expected to continuously provide clean water while meeting users demand, and pressure requirements. To accomplish these targets is not an easy task due to extreme weather events, operative accidents and intentional attacks; as well as the progressive deter...

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Vydáno v:Water resources management Ročník 34; číslo 2; s. 835 - 848
Hlavní autoři: Giudicianni, Carlo, Herrera, Manuel, di Nardo, Armando, Adeyeye, Kemi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.01.2020
Springer Nature B.V
Témata:
Accidents
Aggregation
Algorithms
assets
Atmospheric Sciences
Automation
Civil Engineering
Clustering
Computer applications
Disaggregation
Disruption
Earth and Environmental Science
Earth Sciences
Economics
Environment
Extreme weather
Geotechnical Engineering & Applied Earth Sciences
Hydraulics
Hydrogeology
Hydrology/Water Resources
Industrial research
Multiscale analysis
Partitioning
Peak demand
topology
Water
Water demand
Water distribution
Water distribution systems
Water engineering
Water quality
Water shortages
Water utilities
Weather
Semi-supervised clustering
Water distribution systems
Dynamic operation and sustainable management
Abnormal conditions
Complex networks
ISSN:0920-4741, 1573-1650
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Shrnutí:Water distribution systems (WDSs) today are expected to continuously provide clean water while meeting users demand, and pressure requirements. To accomplish these targets is not an easy task due to extreme weather events, operative accidents and intentional attacks; as well as the progressive deterioration of the WDS assets. Therefore, water utilities should be ready to deal with a range of disruption scenarios such as abrupt variations on the water demand e.g. caused by pipe bursts or topological changes in the water network. This paper presents a novel methodology to automatically split a WDS into self-adapting district metered areas (DMAs) of different size in response to such scenarios. Complex Networks Theory is proposed for creating novel multiscale network layouts for a WDS. This makes it possible to automatically define the dynamic partitioning of WDSs to support further DMA aggregation / disaggregation operations. A real, already partitioned, water utility network shows the usefulness of an adaptive partitioning when the network is affected by an abnormal increase of the peak demand of up to 15%. The dynamic DMA reuses the assets of the static partitioning and, in this case, up to the 82% of resilience is restored using 94% of the assets already installed. The results also show that the overall computational and economic management costs are reduced compared to the static DMA partition while the hydraulic performance of the WDS is simultaneously preserved.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-019-02471-w