A systematic framework of vulnerability analysis of a natural gas pipeline network
•A method is developed to analyze vulnerability of gas pipeline networks.•Supply capacity, gas grid performance and demand change are considered.•Indices are developed to measure gas grid vulnerability and pipeline criticality.•Demand site robustness is analyzed by statistics and topology properties...
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| Published in | Reliability engineering & system safety Vol. 175; pp. 79 - 91 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Barking
Elsevier Ltd
01.07.2018
Elsevier BV Elsevier |
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| Online Access | Get full text |
| ISSN | 0951-8320 1879-0836 1879-0836 |
| DOI | 10.1016/j.ress.2018.03.006 |
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| Abstract | •A method is developed to analyze vulnerability of gas pipeline networks.•Supply capacity, gas grid performance and demand change are considered.•Indices are developed to measure gas grid vulnerability and pipeline criticality.•Demand site robustness is analyzed by statistics and topology properties.•The application of the method is studied in a complex natural gas pipeline network.
A systematic framework is developed to assess the vulnerability of natural gas pipeline networks. To measure the impact of accidents on gas supply service, a consequence model is developed based on a flow algorithm embedded into an optimization scheme, with the consideration of physical constraints. The vulnerability analysis is performed from three viewpoints: global vulnerability analysis, demand robustness and critical pipeline analysis. The global vulnerability analysis is performed considering hazards and threats in gas sources, demand and transmission system. The analysis of demand robustness evaluates the capacities of demand sites to withstand the strains imposed on the pipeline network system and further explains the differences in capacities, from a graph theory perspective. In the critical pipeline analysis, criticalities of pipelines are evaluated by considering direct attacks and using a physical flow-based method. The analyses are performed on a relatively complex gas pipeline network taken from literature. |
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| AbstractList | A systematic framework is developed to assess the vulnerability of natural gas pipeline networks. To measure the impact of accidents on gas supply service, a consequence model is developed based on a flow algorithm embedded into an optimization scheme, with the consideration of physical constraints. The vulnerability analysis is performed from three viewpoints: global vulnerability analysis, demand robustness and critical pipeline analysis. The global vulnerability analysis is performed considering hazards and threats in gas sources, demand and transmission system. The analysis of demand robustness evaluates the capacities of demand sites to withstand the strains imposed on the pipeline network system and further explains the differences in capacities, from a graph theory perspective. In the critical pipeline analysis, criticalities of pipelines are evaluated by considering direct attacks and using a physical flow-based method. The analyses are performed on a relatively complex gas pipeline network taken from literature. •A method is developed to analyze vulnerability of gas pipeline networks.•Supply capacity, gas grid performance and demand change are considered.•Indices are developed to measure gas grid vulnerability and pipeline criticality.•Demand site robustness is analyzed by statistics and topology properties.•The application of the method is studied in a complex natural gas pipeline network. A systematic framework is developed to assess the vulnerability of natural gas pipeline networks. To measure the impact of accidents on gas supply service, a consequence model is developed based on a flow algorithm embedded into an optimization scheme, with the consideration of physical constraints. The vulnerability analysis is performed from three viewpoints: global vulnerability analysis, demand robustness and critical pipeline analysis. The global vulnerability analysis is performed considering hazards and threats in gas sources, demand and transmission system. The analysis of demand robustness evaluates the capacities of demand sites to withstand the strains imposed on the pipeline network system and further explains the differences in capacities, from a graph theory perspective. In the critical pipeline analysis, criticalities of pipelines are evaluated by considering direct attacks and using a physical flow-based method. The analyses are performed on a relatively complex gas pipeline network taken from literature. |
| Author | Zhang, Jinjun Su, Huai Zio, Enrico Li, Xueyi |
| Author_xml | – sequence: 1 givenname: Huai surname: Su fullname: Su, Huai organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering /Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, 102249, Beijing, China – sequence: 2 givenname: Enrico surname: Zio fullname: Zio, Enrico organization: Dipartimento di Energia, Politecnico di Milano, Via La Masa 34, 20156, Milano, Italy – sequence: 3 givenname: Jinjun surname: Zhang fullname: Zhang, Jinjun email: zhangjj@cup.edu.cn organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering /Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, 102249, Beijing, China – sequence: 4 givenname: Xueyi surname: Li fullname: Li, Xueyi organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering /Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum-Beijing, 102249, Beijing, China |
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| Keywords | Vulnerability analysis Floyd algorithm Supply service Criticality analysis Complex natural gas pipeline network Max-flow algorithm Complex natural gas pipeline network Vulnerability analysis |
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| SubjectTerms | Complex natural gas pipeline network Criticality analysis Demand Demand analysis Economic development Engineering Sciences Floyd algorithm Gas pipelines Graph theory Hazards Max-flow algorithm Natural gas Pipelines Probability Reliability engineering Robustness Statistical physics Supply service Vulnerability analysis |
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| Title | A systematic framework of vulnerability analysis of a natural gas pipeline network |
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