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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Main Authors: Ji, Ling, Jia, Xiaoping, Chiu, Anthony S.F., Xu, Ming
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/4452
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-52802022-01-03T08:19:47Z Global electricity trade network: Structures and implications Ji, Ling Jia, Xiaoping Chiu, Anthony S.F. Xu, Ming 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 CO2 emissions. © 2016 Ji 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. 2016-08-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/4452 info:doi/10.1371/journal.pone.0160869 Faculty Research Work Animo Repository Electric power production Electric power distribution Electric power Selling—Electric power Operations Research, Systems Engineering and Industrial Engineering Power and Energy
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Electric power production
Electric power distribution
Electric power
Selling—Electric power
Operations Research, Systems Engineering and Industrial Engineering
Power and Energy
spellingShingle Electric power production
Electric power distribution
Electric power
Selling—Electric power
Operations Research, Systems Engineering and Industrial Engineering
Power and Energy
Ji, Ling
Jia, Xiaoping
Chiu, Anthony S.F.
Xu, Ming
Global electricity trade network: Structures and implications
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 CO2 emissions. © 2016 Ji 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.
format text
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
title Global electricity trade network: Structures and implications
title_short 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_sort global electricity trade network: structures and implications
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/4452
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