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Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions

Overview of attention for article published in PLOS ONE, March 2014
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7 news outlets
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1 blog
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35 X users
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1 Facebook page
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1 Google+ user
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1 Redditor

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132 Mendeley
Title
Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090265
Pubmed ID
Authors

Rui Carvalho, Lubos Buzna, Flavio Bono, Marcelo Masera, David K. Arrowsmith, Dirk Helbing

Abstract

Human conflict, geopolitical crises, terrorist attacks, and natural disasters can turn large parts of energy distribution networks offline. Europe's current gas supply network is largely dependent on deliveries from Russia and North Africa, creating vulnerabilities to social and political instabilities. During crises, less delivery may mean greater congestion, as the pipeline network is used in ways it has not been designed for. Given the importance of the security of natural gas supply, we develop a model to handle network congestion on various geographical scales. We offer a resilient response strategy to energy shortages and quantify its effectiveness for a variety of relevant scenarios. In essence, Europe's gas supply can be made robust even to major supply disruptions, if a fair distribution strategy is applied.

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X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 2%
Brazil 2 2%
Netherlands 1 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 32%
Researcher 24 18%
Student > Master 21 16%
Student > Doctoral Student 7 5%
Professor 5 4%
Other 20 15%
Unknown 13 10%
Readers by discipline Count As %
Engineering 40 30%
Social Sciences 17 13%
Business, Management and Accounting 9 7%
Environmental Science 9 7%
Energy 8 6%
Other 28 21%
Unknown 21 16%