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Resilience Analysis in the Permanent Partitioning of a Water Distribution Network

10 pagesPublished: September 20, 2018

Abstract

This paper aims to explore the suitability of compact resilience metrics for application to partitioned water distribution networks (WDNs). WDN partitioning represents a different test from the usual reliability tests performed in the scientific literature, in which the operation of the WDN is unperturbed, or marginally perturbed (e.g., by segment isolation or demand amplification). The creation of permanent district metering areas (DMAs), which is carried out through the simultaneous closure of numerous links, represents, instead, a larger and permanent perturbation that deserves special attention. In this analysis, two metrics, namely the Global Resilience Failure (GRF) and the energy efficiency indices, were compared in pressure-driven approach with WDN performance indicators. The results in a real WDN, which is partitioned in a growing number of DMAs, proved that both the GRF is more sensitive to the weaknesses arisen in the partitioning processes.

Keyphrases: DMA, failure, redundancy, Resilience, water network partitioning

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 485--494

Links:
BibTeX entry
@inproceedings{HIC2018:Resilience_Analysis_in_Permanent,
  author    = {Enrico Creaco and Armando Di Nardo and Carlo Giudicianni and Roberto Greco and Giovanni Francesco Santonastaso},
  title     = {Resilience Analysis in the Permanent Partitioning of a Water Distribution Network},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {485--494},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/zVnS},
  doi       = {10.29007/lpck}}
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