Back to Search Start Over

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

Authors :
Lucy Allington
Carla Cannone
Ioannis Pappis
Karla Cervantes Barron
Will Usher
Steve Pye
Edward Brown
Mark Howells
Miriam Zachau Walker
Aniq Ahsan
Flora Charbonnier
Claire Halloran
Stephanie Hirmer
Jennifer Cronin
Constantinos Taliotis
Caroline Sundin
Vignesh Sridharan
Eunice Ramos
Maarten Brinkerink
Paul Deane
Andrii Gritsevskyi
Gustavo Moura
Arnaud Rouget
David Wogan
Edito Barcelona
Taco Niet
Holger Rogner
Franziska Bock
Jairo Quirós-Tortós
Jam Angulo-Paniagua
Satheesh Krishnamurthy
John Harrison
Long Seng To
Source :
Data in Brief, Vol 42, Iss , Pp 108021- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

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.

Details

Language :
English
ISSN :
23523409
Volume :
42
Issue :
108021-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.82867765a40e478dabf3782c13b05b1a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2022.108021