1-s2.0-S2352340922002323-main.pdf (3.42 MB)
Download file

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

Download (3.42 MB)
journal contribution
posted on 15.03.2022, 12:00 by Lucy Allington, Carla CannoneCarla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye, Ed BrownEd Brown, Mark HowellsMark 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 HarrisonJohn Harrison, Long Seng ToLong Seng To
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, 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.

Funding

Climate Compatible Growth Program (#CCG) of the UK's Foreign Development and Commonwealth Office (FCDO)

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Data in Brief

Volume

42

Publisher

Elsevier BV

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

02/03/2022

Publication date

2022-03-09

Copyright date

2022

ISSN

2352-3409

Language

en

Depositor

Miss Carla Cannone. Deposit date: 14 March 2022

Article number

108021