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

doi:10.1007/978-3-031-42987-3_95

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 proceeding › Article in proceeding › Research › peer-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 language	English
Title of host publication	Computational and Experimental Simulations in Engineering : Proceedings of ICCES 2023—Volume 2
Editors	Shaofan Li
Number of pages	14
Publisher	Springer
Publication date	Dec 2023
Pages	1357-1370
ISBN (Print)	978-3-031-42986-6, 978-3-031-42989-7
ISBN (Electronic)	978-3-031-42987-3
DOIs	https://doi.org/10.1007/978-3-031-42987-3_95
Publication status	Published - Dec 2023
Event	29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 - Shenzhen, China Duration: 26 May 2023 → 29 May 2023

Conference

Conference	29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023
Country/Territory	China
City	Shenzhen
Period	26/05/2023 → 29/05/2023

Series	Mechanisms and Machine Science
Volume	145
ISSN	2211-0984

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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Cite this

@inproceedings{6ac1a3f1b8fd43f59ae27a5ee7ce875b,

title = "A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems",

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.",

keywords = "Deterministic disturbance, Maximum flow method, Natural gas pipeline system, Resilience",

author = "Zhaoming Yang and Qi Xiang and Qian He and Enrico Zio and Faber, {Michael Havbro} and Huai Su and Jinjun Zhang",

note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 ; Conference date: 26-05-2023 Through 29-05-2023",

year = "2023",

month = dec,

doi = "10.1007/978-3-031-42987-3_95",

language = "English",

isbn = "978-3-031-42986-6",

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Yang, Z, Xiang, Q, He, Q, Zio, E, Faber, MH, Su, H & Zhang, J 2023, A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems. in S Li (ed.), Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2023—Volume 2. Springer, Mechanisms and Machine Science, vol. 145, pp. 1357-1370, 29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023, Shenzhen, China, 26/05/2023. https://doi.org/10.1007/978-3-031-42987-3_95

A Simulation Model of Resilience Evaluation for Natural Gas Pipeline Network Systems. / Yang, Zhaoming; Xiang, Qi; He, Qian et al.
Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2023—Volume 2. ed. / Shaofan Li. Springer, 2023. p. 1357-1370 (Mechanisms and Machine Science, Vol. 145).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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PY - 2023/12

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N2 - 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.

AB - 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.

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ER -

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

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Keywords

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