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Selected ‘Starter Kit’ energy system modelling data for Kenya (#CCG)

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posted on 17.03.2022, 10:30 authored by Lucy Allington, Carla CannoneCarla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye, Ed BrownEd Brown, Mark HowellsMark Howells, Constantinos Taliotis, Caroline Sundin, Vignesh Sridharan, Eunice Ramos, Maarten Brinkerink, Paul Deane, Andrii Gritsevskyi, Gustavo Moura, Arnaud Rouget, David Wogan, Edito Barcelona, Holger Rogner, Stephanie Hirmer
Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. This article therefore provides data that can be used to create a simple zero order energy system model for Kenya, 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 organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020–2050. The assumptions used and 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

Research Square

Publisher

Research Square

Version

AO (Author's Original)

Rights holder

© The Authors

Publisher statement

This is an Open Access Preprint. It is published by Research Square 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/

Publication date

2021-04-30

Copyright date

2021

Language

en

Depositor

Prof Mark Howells. Deposit date: 15 March 2022

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