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.
Originalsprog | Engelsk |
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Titel | Computational and Experimental Simulations in Engineering : Proceedings of ICCES 2023—Volume 2 |
Redaktører | Shaofan Li |
Antal sider | 14 |
Forlag | Springer |
Publikationsdato | dec. 2023 |
Sider | 1357-1370 |
ISBN (Trykt) | 978-3-031-42986-6, 978-3-031-42989-7 |
ISBN (Elektronisk) | 978-3-031-42987-3 |
DOI | |
Status | Udgivet - dec. 2023 |
Begivenhed | 29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 - Shenzhen, Kina Varighed: 26 maj 2023 → 29 maj 2023 |
Konference
Konference | 29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 |
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Land/Område | Kina |
By | Shenzhen |
Periode | 26/05/2023 → 29/05/2023 |
Navn | Mechanisms and Machine Science |
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Vol/bind | 145 |
ISSN | 2211-0984 |
Bibliografisk note
Publisher Copyright:© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.