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Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)

Energy system modeling can be used to develop internally-consistent quantified scenarios. These provide key insights needed to mobilise finance, understand market development, infrastructure deployment and the associated role of institutions, and generally support improved policymaking. However, acc...

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Autores principales: Allington, Lucy, Cannone, Carla, Pappis, Ioannis, Cervantes Barron, Karla, Usher, Will, Pye, Steve, Brown, Edward, Howells, Mark, Zachau Walker, Miriam, Ahsan, Aniq, Charbonnier, Flora, Halloran, Claire, Hirmer, Stephanie, Cronin, Jennifer, Taliotis, Constantinos, Sundin, Caroline, Sridharan, Vignesh, Ramos, Eunice, Brinkerink, Maarten, Deane, Paul, Gritsevskyi, Andrii, Moura, Gustavo, Rouget, Arnaud, Wogan, David, Barcelona, Edito, Niet, Taco, Rogner, Holger, Bock, Franziska, Quirós-Tortós, Jairo, Angulo-Paniagua, Jam, Krishnamurthy, Satheesh, Harrison, John, To, Long Seng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943422/
https://www.ncbi.nlm.nih.gov/pubmed/35341031
http://dx.doi.org/10.1016/j.dib.2022.108021
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author Allington, Lucy
Cannone, Carla
Pappis, Ioannis
Cervantes Barron, Karla
Usher, Will
Pye, Steve
Brown, Edward
Howells, Mark
Zachau Walker, Miriam
Ahsan, Aniq
Charbonnier, Flora
Halloran, Claire
Hirmer, Stephanie
Cronin, Jennifer
Taliotis, Constantinos
Sundin, Caroline
Sridharan, Vignesh
Ramos, Eunice
Brinkerink, Maarten
Deane, Paul
Gritsevskyi, Andrii
Moura, Gustavo
Rouget, Arnaud
Wogan, David
Barcelona, Edito
Niet, Taco
Rogner, Holger
Bock, Franziska
Quirós-Tortós, Jairo
Angulo-Paniagua, Jam
Krishnamurthy, Satheesh
Harrison, John
To, Long Seng
author_facet Allington, Lucy
Cannone, Carla
Pappis, Ioannis
Cervantes Barron, Karla
Usher, Will
Pye, Steve
Brown, Edward
Howells, Mark
Zachau Walker, Miriam
Ahsan, Aniq
Charbonnier, Flora
Halloran, Claire
Hirmer, Stephanie
Cronin, Jennifer
Taliotis, Constantinos
Sundin, Caroline
Sridharan, Vignesh
Ramos, Eunice
Brinkerink, Maarten
Deane, Paul
Gritsevskyi, Andrii
Moura, Gustavo
Rouget, Arnaud
Wogan, David
Barcelona, Edito
Niet, Taco
Rogner, Holger
Bock, Franziska
Quirós-Tortós, Jairo
Angulo-Paniagua, Jam
Krishnamurthy, Satheesh
Harrison, John
To, Long Seng
author_sort Allington, Lucy
collection PubMed
description Energy system modeling can be used to develop internally-consistent quantified scenarios. These provide key insights needed to mobilise finance, understand market development, infrastructure deployment and the associated role of institutions, and generally support improved policymaking. However, access to data is often a barrier to starting energy system modeling, especially in developing countries, thereby causing delays to decision making. Therefore, this article provides data that can be used to create a simple zero-order energy system model for a range of developing countries in Africa, East Asia, and South America, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organisations, journal articles, and existing modeling studies. This means that the datasets can be easily updated based on the latest available information or more detailed and accurate local data. As an example, these data were also used to calibrate a simple energy system model for Kenya using the Open Source Energy Modeling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and the results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.
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spelling pubmed-89434222022-03-25 Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021) Allington, Lucy Cannone, Carla Pappis, Ioannis Cervantes Barron, Karla Usher, Will Pye, Steve Brown, Edward Howells, Mark Zachau Walker, Miriam Ahsan, Aniq Charbonnier, Flora Halloran, Claire Hirmer, Stephanie Cronin, Jennifer Taliotis, Constantinos Sundin, Caroline Sridharan, Vignesh Ramos, Eunice Brinkerink, Maarten Deane, Paul Gritsevskyi, Andrii Moura, Gustavo Rouget, Arnaud Wogan, David Barcelona, Edito Niet, Taco Rogner, Holger Bock, Franziska Quirós-Tortós, Jairo Angulo-Paniagua, Jam Krishnamurthy, Satheesh Harrison, John To, Long Seng Data Brief Data Article Energy system modeling can be used to develop internally-consistent quantified scenarios. These provide key insights needed to mobilise finance, understand market development, infrastructure deployment and the associated role of institutions, and generally support improved policymaking. However, access to data is often a barrier to starting energy system modeling, especially in developing countries, thereby causing delays to decision making. Therefore, this article provides data that can be used to create a simple zero-order energy system model for a range of developing countries in Africa, East Asia, and South America, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organisations, journal articles, and existing modeling studies. This means that the datasets can be easily updated based on the latest available information or more detailed and accurate local data. As an example, these data were also used to calibrate a simple energy system model for Kenya using the Open Source Energy Modeling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and the results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work. Elsevier 2022-03-09 /pmc/articles/PMC8943422/ /pubmed/35341031 http://dx.doi.org/10.1016/j.dib.2022.108021 Text en © 2022 The Author(s). Published by Elsevier Inc. 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
Allington, Lucy
Cannone, Carla
Pappis, Ioannis
Cervantes Barron, Karla
Usher, Will
Pye, Steve
Brown, Edward
Howells, Mark
Zachau Walker, Miriam
Ahsan, Aniq
Charbonnier, Flora
Halloran, Claire
Hirmer, Stephanie
Cronin, Jennifer
Taliotis, Constantinos
Sundin, Caroline
Sridharan, Vignesh
Ramos, Eunice
Brinkerink, Maarten
Deane, Paul
Gritsevskyi, Andrii
Moura, Gustavo
Rouget, Arnaud
Wogan, David
Barcelona, Edito
Niet, Taco
Rogner, Holger
Bock, Franziska
Quirós-Tortós, Jairo
Angulo-Paniagua, Jam
Krishnamurthy, Satheesh
Harrison, John
To, Long Seng
Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title_full Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title_fullStr Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title_full_unstemmed Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title_short Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)
title_sort selected ‘starter kit’ energy system modelling data for selected countries in africa, east asia, and south america (#ccg, 2021)
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943422/
https://www.ncbi.nlm.nih.gov/pubmed/35341031
http://dx.doi.org/10.1016/j.dib.2022.108021
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