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Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam
Viet Nam is at a critical juncture in planning for its future energy mix due to its fast-growing economy and recent climate commitments. Robust modelling analyses examining the potential and practical energy mix alternatives are therefore key in providing key stakeholders with critical information o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823151/ https://www.ncbi.nlm.nih.gov/pubmed/36624772 http://dx.doi.org/10.1016/j.dib.2022.108836 |
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author | Tan, Naomi Harrison, John Howells, Mark Yeganyan, Rudolf |
author_facet | Tan, Naomi Harrison, John Howells, Mark Yeganyan, Rudolf |
author_sort | Tan, Naomi |
collection | PubMed |
description | Viet Nam is at a critical juncture in planning for its future energy mix due to its fast-growing economy and recent climate commitments. Robust modelling analyses examining the potential and practical energy mix alternatives are therefore key in providing key stakeholders with critical information on energy policy decision-making. The challenge is that a large volume of data is required to accurately model various energy pathways at the national scale. This data note, therefore, aims to bridge the current data gap by providing key information on input data and assumptions for long-term energy planning in Viet Nam. Historical and/or projected data regarding electricity generation and consumption, electricity imports and exports, fuel prices, emissions, refineries, power transmission and distribution, electricity generation technologies, and renewable energy potential and reserves for the years 2015 to 2050 are described in this article. |
format | Online Article Text |
id | pubmed-9823151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98231512023-01-08 Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam Tan, Naomi Harrison, John Howells, Mark Yeganyan, Rudolf Data Brief Data Article Viet Nam is at a critical juncture in planning for its future energy mix due to its fast-growing economy and recent climate commitments. Robust modelling analyses examining the potential and practical energy mix alternatives are therefore key in providing key stakeholders with critical information on energy policy decision-making. The challenge is that a large volume of data is required to accurately model various energy pathways at the national scale. This data note, therefore, aims to bridge the current data gap by providing key information on input data and assumptions for long-term energy planning in Viet Nam. Historical and/or projected data regarding electricity generation and consumption, electricity imports and exports, fuel prices, emissions, refineries, power transmission and distribution, electricity generation technologies, and renewable energy potential and reserves for the years 2015 to 2050 are described in this article. Elsevier 2022-12-17 /pmc/articles/PMC9823151/ /pubmed/36624772 http://dx.doi.org/10.1016/j.dib.2022.108836 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Tan, Naomi Harrison, John Howells, Mark Yeganyan, Rudolf Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title | Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title_full | Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title_fullStr | Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title_full_unstemmed | Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title_short | Techno-economic data and assumptions for long-term energy systems modelling in Viet Nam |
title_sort | techno-economic data and assumptions for long-term energy systems modelling in viet nam |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823151/ https://www.ncbi.nlm.nih.gov/pubmed/36624772 http://dx.doi.org/10.1016/j.dib.2022.108836 |
work_keys_str_mv | AT tannaomi technoeconomicdataandassumptionsforlongtermenergysystemsmodellinginvietnam AT harrisonjohn technoeconomicdataandassumptionsforlongtermenergysystemsmodellinginvietnam AT howellsmark technoeconomicdataandassumptionsforlongtermenergysystemsmodellinginvietnam AT yeganyanrudolf technoeconomicdataandassumptionsforlongtermenergysystemsmodellinginvietnam |