Dr Rui Carvalho rui.carvalho@durham.ac.uk
Assistant Professor
Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions
Carvalho, Rui; Buzna, Lubos; Bono, Flavio; Masera, Marcelo; Arrowsmith, David K.; Helbing, Dirk
Authors
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.
Citation
Carvalho, R., Buzna, L., Bono, F., Masera, M., Arrowsmith, D. K., & Helbing, D. (2014). Resilience of Natural Gas Networks during Conflicts, Crises and Disruptions. PLoS ONE, 9(3), Article e90265. https://doi.org/10.1371/journal.pone.0090265
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 27, 2014 |
Online Publication Date | Mar 12, 2014 |
Publication Date | Mar 12, 2014 |
Deposit Date | Apr 15, 2016 |
Publicly Available Date | Apr 15, 2016 |
Journal | PLoS ONE |
Electronic ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 9 |
Issue | 3 |
Article Number | e90265 |
DOI | https://doi.org/10.1371/journal.pone.0090265 |
Public URL | https://durham-repository.worktribe.com/output/1406865 |
Related Public URLs | http://arxiv.org/abs/1311.7348 |
Files
Published Journal Article
(1.5 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Accepted Journal Article
(233 Kb)
PDF
Copyright Statement
Copyright: © 2014 Carvalho et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
You might also like
Automating the discovery of partial differential equations in dynamical systems
(2024)
Journal Article
Automatically discovering ordinary differential equations from data with sparse regression
(2024)
Journal Article
Analysis of Energy Consumption at Slow Charging Infrastructure for Electric Vehicles
(2021)
Journal Article
Explaining the distribution of energy consumption at slow charging
infrastructure for electric vehicles from socio-economic data
(2020)
Preprint / Working Paper
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search