2011
DOI: 10.1002/eqe.1118
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Seismic risk assessment of interdependent critical infrastructure systems: The case of European gas and electricity networks

Abstract: SUMMARYWe study the seismic vulnerability of the interdependent European gas and electricity transmission networks from a topological point of view, whereby the electricity network depends on the gas network through gas-fired power plants. First, we assessed the seismic response for each independent network; then we analyzed the increased vulnerability due to their interdependency. We implemented a probabilistic reliability model that encompasses the spatial distribution of both network structures and their se… Show more

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Cited by 160 publications
(85 citation statements)
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References 26 publications
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“…Gas Network (Poljansek et al 2012)). Further, they may be of interest to consumer (or industry) associations that 36 operate at any of the intermediate scales shown in Figure 1.…”
Section: Introduction 19mentioning
confidence: 99%
“…Gas Network (Poljansek et al 2012)). Further, they may be of interest to consumer (or industry) associations that 36 operate at any of the intermediate scales shown in Figure 1.…”
Section: Introduction 19mentioning
confidence: 99%
“…Shinozuka [1997] focused on loss estimation methodologies for lifelines and considered the Memphis area as case study. Recently, Poljansek et al [2012] analyzed the seismic vulnerability of the gas and electricity network from the topological point of view.…”
Section: Introductionmentioning
confidence: 99%
“…Vulnerability of electricity grids in Europe is also affected by interdependencies between different systems and potentials for cascading effects (Poljanšek et al, 2012). Integration of renewable energies and resilience of electricity grids to multiple risks require substantial upgrading of existing grids as well as deployment of new grids.…”
Section: Results: Factors Influencing Vulnerability Of Electricity Trmentioning
confidence: 99%
“…In network analysis, such elements constitute the vertices of the network and are the main points of interest for the vulnerability analysis (e.g., Poljanšek et al 2012;Cavalieri and Franchin 2014;Correa-Henao et al 2013). …”
Section: Introductionmentioning
confidence: 99%
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