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A systematic framework of vulnerability analysis of a natural gas pipeline network [PDF]
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.
Jinjun Zhang, Enrico Zio, Huai Su
exaly +4 more sources
Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks
INFORMS Journal on Computing, 2020We study the energy consumption minimization problems of natural gas transmission in gunbarrel structured networks. In particular, we consider the transient-state dynamics of natural gas and the compressor’s nonlinear working domain and min-up-and-down constraints.
Shixuan Zhang +3 more
openaire +2 more sources
Topology Analysis of Natural Gas Pipeline Networks Based on Complex Network Theory
With the improvement of natural gas network interconnection, the network topology becomes increasingly complex. The significance of analyzing topology is gradually becoming prominent, and a systematic analysis method is required. This paper selects two typical natural gas pipeline networks: one in Europe, and the other in North China.
Zhiping Li, Heng Ye
exaly +3 more sources
Seismic Vulnerability of a Natural Gas Pipeline Network
Pipelines 2008, 2008In this paper, a landslide prone area in Istanbul has been studied to show the seismic vulnerability of a proposed natural gas pipeline network. The area is located 9 km away to the north of the North Anatolian Fault Zone (NAFZ). NAFZ is seismically very active and a major earthquake is expected within the next 30 years.
A. Gedikli, M. A. Lav, A. Yigit
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Vulnerability analysis of a natural gas pipeline network based on network flow
International Journal of Pressure Vessels and Piping, 2020Abstract A vulnerability analysis of the transportation capacity of a natural-gas pipeline network based on network flow was proposed. This analysis focused on the inherent properties instead of the environment and probabilities, which are usually considered in conventional risk assessments. The topology of the pipeline network was established in the
WuChang Wang +4 more
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Simulation model for natural gas transmission pipeline network system
Simulation Modelling Practice and Theory, 2011Abstract This paper focuses on developing a simulation model for the analysis of transmission pipeline network system (TPNS) with detailed characteristics of compressor stations. Compressor station is the key element in the TPNS since it provides energy to keep the gas moving.
Abraham Debebe Woldeyohannes +1 more
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Supply resilience assessment of natural gas pipeline network systems
Journal of Cleaner Production, 2023Resilience is one of the important components of system safety evaluation and optimization, the research of which for natural gas pipeline network system (NGPNS) is still in initial stage, especially for the resilience indexes and process description. To evaluate the resilience of NGPNS more synthetically and practically, considering different types of
Yang, Zhaoming +8 more
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COMPUTER NETWORK FOR THE SUPERVISORY CONTROL OF THE NATURAL GAS PIPELINE SYSTEM OF HUNGARY
IFAC Proceedings Volumes, 1985Abstract The Hungarian natural gas pipeline system consists of several thousand kilometers of pipeline with more than 250 compressor stations and other field objects. Most of the field objects have a local control system and operates without supervision.
P. Inzelt, L. Tapolcai
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Probabilistic analysis of natural gas pipeline network accident based on Bayesian network
Journal of Loss Prevention in the Process Industries, 2017Abstract Natural gas pipeline network (NGPN) accident is a kind of catastrophic disaster as the hazard of natural gas may present a large-scale extension in NGPN that can easily result in cascading accidents. In this paper, the Bayesian network (BN) was employed to probabilistically analyze natural gas pipeline network accidents. On the basis of case-
Jiansong Wu, Rui Zhou
exaly +2 more sources

