A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems

Zhaoming Yang, Qi Xiang, Qian He, Enrico Zio, Michael Havbro Faber, Huai Su*, Jinjun Zhang

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Resilience is a key component of system safety evaluation and optimization, and research on natural gas pipeline network system (NGPNS) resilience indices and corresponding evaluation is still in early stages. To evaluate the resilience of NGPNS more synthetically and realistically, and to take into account different forms of disruptions, an integrated simulation model combining the topology and operational parameters is provided. The properties of deterministic disruptions, such as earthquakes and equipment breakdowns, are investigated. The maximum flow method and the shortest path method are combined with operational and structural parameters, to assess the amounts and routes of gas supply before and after disturbance; using complex networks theory and graph theory, the traditional view point is changed from the entire system to the affected area. The results can help guide NGPNS topological design and the development of prewarning schemes, including spare gas sources and gas route optimization, as well as pipeline maintenance strategy. They can also aid in the rapid analysis of disturbance consequences and the improvement of NGPNS resilience evaluating accuracy.

Original languageEnglish
Title of host publicationComputational and Experimental Simulations in Engineering : Proceedings of ICCES 2023—Volume 2
EditorsShaofan Li
Number of pages14
PublisherSpringer
Publication dateDec 2023
Pages1357-1370
ISBN (Print)978-3-031-42986-6, 978-3-031-42989-7
ISBN (Electronic)978-3-031-42987-3
DOIs
Publication statusPublished - Dec 2023
Event29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 - Shenzhen, China
Duration: 26 May 202329 May 2023

Conference

Conference29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023
Country/TerritoryChina
CityShenzhen
Period26/05/202329/05/2023
SeriesMechanisms and Machine Science
Volume145
ISSN2211-0984

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Deterministic disturbance
  • Maximum flow method
  • Natural gas pipeline system
  • Resilience

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