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A global electricity transmission database for energy system modelling

Brinkerink, Maarten; Sherman, Gordon; Osei-Owusu, Simone; Mohanty, Reema; Majid, Aman; Barnes, Trevor; Niet, Taco; ... Mayfield, Erin; + view all (2024) A global electricity transmission database for energy system modelling. Data in Brief , 54 , Article 110420. 10.1016/j.dib.2024.110420. Green open access

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Abstract

Energy system modelling can be used to provide scenario-based insights in energy system transition pathways. However, data accessibility is a common barrier for the model representation of energy systems, both regarding existing infrastructure, as well as planned developments consistent with current policies. This paper describes the ‘Global Transmission Database’, the first global dataset covering existing and planned electricity transmission developments between countries and selected regions. The dataset can be used as a starting point for the representation of cross-regional electricity grids globally in energy system models and other computational tools. All data is collected from publicly available sources and combined into a single machine-readable format for convenient application.

Type: Article
Title: A global electricity transmission database for energy system modelling
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.dib.2024.110420
Publisher version: http://dx.doi.org/10.1016/j.dib.2024.110420
Language: English
Additional information: © 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Interconnectors, Transmission, Electricity grid, Power systems, Energy system modelling, Global, Energy policy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10191812
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