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Global Electricity Trade Network: Structures and Implications

Nations increasingly trade electricity, and understanding the structure of the global power grid can help identify nations that are critical for its reliability. This study examines the global grid as a network with nations as nodes and international electricity trade as links. We analyze the struct...

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Detalles Bibliográficos
Autores principales: Ji, Ling, Jia, Xiaoping, Chiu, Anthony S. F., Xu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978414/
https://www.ncbi.nlm.nih.gov/pubmed/27504825
http://dx.doi.org/10.1371/journal.pone.0160869
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author Ji, Ling
Jia, Xiaoping
Chiu, Anthony S. F.
Xu, Ming
author_facet Ji, Ling
Jia, Xiaoping
Chiu, Anthony S. F.
Xu, Ming
author_sort Ji, Ling
collection PubMed
description Nations increasingly trade electricity, and understanding the structure of the global power grid can help identify nations that are critical for its reliability. This study examines the global grid as a network with nations as nodes and international electricity trade as links. We analyze the structure of the global electricity trade network and find that the network consists of four sub-networks, and provide a detailed analysis of the largest network, Eurasia. Russia, China, Ukraine, and Azerbaijan have high betweenness measures in the Eurasian sub-network, indicating the degrees of centrality of the positions they hold. The analysis reveals that the Eurasian sub-network consists of seven communities based on the network structure. We find that the communities do not fully align with geographical proximity, and that the present international electricity trade in the Eurasian sub-network causes an approximately 11 million additional tons of CO(2) emissions.
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spelling pubmed-49784142016-08-25 Global Electricity Trade Network: Structures and Implications Ji, Ling Jia, Xiaoping Chiu, Anthony S. F. Xu, Ming PLoS One Research Article Nations increasingly trade electricity, and understanding the structure of the global power grid can help identify nations that are critical for its reliability. This study examines the global grid as a network with nations as nodes and international electricity trade as links. We analyze the structure of the global electricity trade network and find that the network consists of four sub-networks, and provide a detailed analysis of the largest network, Eurasia. Russia, China, Ukraine, and Azerbaijan have high betweenness measures in the Eurasian sub-network, indicating the degrees of centrality of the positions they hold. The analysis reveals that the Eurasian sub-network consists of seven communities based on the network structure. We find that the communities do not fully align with geographical proximity, and that the present international electricity trade in the Eurasian sub-network causes an approximately 11 million additional tons of CO(2) emissions. Public Library of Science 2016-08-09 /pmc/articles/PMC4978414/ /pubmed/27504825 http://dx.doi.org/10.1371/journal.pone.0160869 Text en © 2016 Ji et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ji, Ling
Jia, Xiaoping
Chiu, Anthony S. F.
Xu, Ming
Global Electricity Trade Network: Structures and Implications
title Global Electricity Trade Network: Structures and Implications
title_full Global Electricity Trade Network: Structures and Implications
title_fullStr Global Electricity Trade Network: Structures and Implications
title_full_unstemmed Global Electricity Trade Network: Structures and Implications
title_short Global Electricity Trade Network: Structures and Implications
title_sort global electricity trade network: structures and implications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4978414/
https://www.ncbi.nlm.nih.gov/pubmed/27504825
http://dx.doi.org/10.1371/journal.pone.0160869
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