A Full and Simplified Water Distribution Network Model Comparison of Skeletonization Results

Skeletonization involves simplifying dense large-scale water distribution network (WDN) models by preserving key components that significantly impact network behavior. This study explores five WDNs and implements various skeletonization techniques to help identify a universal criterion for the optimal level of simplification. Results suggest that diverse skeletonization methods affect network topology and hydraulic accuracy. Single-method techniques tend to preserve hydraulic accuracy better but remove fewer pipes, while hybrid methods sacrifice accuracy for simplified topologies and computational time. In addition, a comparative analysis of SkelEpanet and WNTR software shows comparable performance. Ultimately, this work contributes to addressing uncertainties in transferability to real-world networks.

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Publication Details

Published
2024-09-05
DOI
https://doi.org/10.3390/engproc2024069072
Citations
1
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.26

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article

A Full and Simplified Water Distribution Network Model Comparison of Skeletonization Results

Brian Tugume, David Ayala–Cabrera, Mario Castro-Gama
1 citations
Water Systems and Optimization
0.26
article

A Full and Simplified Water Distribution Network Model Comparison of Skeletonization Results

Brian Tugume, David Ayala–Cabrera, Mario Castro-Gama
article en
1 citations

Abstract

Skeletonization involves simplifying dense large-scale water distribution network (WDN) models by preserving key components that significantly impact network behavior. This study explores five WDNs and implements various skeletonization techniques to help identify a universal criterion for the optimal level of simplification. Results suggest that diverse skeletonization methods affect network topology and hydraulic accuracy. Single-method techniques tend to preserve hydraulic accuracy better but remove fewer pipes, while hybrid methods sacrifice accuracy for simplified topologies and computational time. In addition, a comparative analysis of SkelEpanet and WNTR software shows comparable performance. Ultimately, this work contributes to addressing uncertainties in transferability to real-world networks.

University College Dublin (IE)
University College Dublin
Clean water and sanitation
Openalex Percentile: Top 45%
Water Systems and Optimization
0.26
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