• Energy Research

These slides were used in a workshop on the Zambian Climate-Land-Energy-Water Nexus, in Lusaka, 6th November 2024. The workshop was hosted by researchers from the Centre for Energy, Environment and Engineering, Zambia (CEEEZ) and University College London (UCL), under the Climate Compatible Growth research programme. The workshop included sessions to present the results of a literature review and policy analysis, and group discussions, aiming to develop understanding of key issues and to co-develop a research agenda. More information is available from the project team: jen.cronin@ucl.ac.uk and ceeez2015@gmail.com. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK AID from the UK Government. Views expressed herein do not necessarily reflect the UK government's official policies.

Abstract 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. Therefore, this article provides data that can be used to create a simple zero order energy system model for Sudan, 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.

Abstract 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. Therefore, this article provides data that can be used to create a simple zero order energy system model for Central African Republic, 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.

These slides were used in a workshop on the development of an Excel-based land-use model for Zambia, in Lusaka, 5th November 2024. The workshop was hosted by researchers from the Centre for Energy, Environment and Engineering, Zambia (CEEEZ) and University College London (UCL), under the Climate Compatible Growth research programme. The workshop sought to validate the modelling approach, develop understanding of key dynamics and assumptions relevant to the modelling, and develop the network for research colaborations on the topic of land-use change. More information is available from the project team: jen.cronin@ucl.ac.uk and ceeez2015@gmail.com. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK AID from the UK Government. Views expressed herein do not necessarily reflect the UK government's official policies.

Abstract 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. Therefore, this article provides data that can be used to create a simple zero order energy system model for Cote d'Ivoire, 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.

This work was supported by the Climate Compatible Growth programme funded by UK's Foreign, Commonwealth & Development Office (FCDO). The views expressed in this material do not necessarily reflect the UK government's official policies.  This repository contains the OSeMOSYS-Zambia whole energy system model with input data for a reference scenario.

This CCG working paper provides a review of issues relating to the climate-land-energy-water nexus in Zambia. Drawing on stakeholder workshops, a literature review and policy analysis, it presents evidence on the state of research on the nexus links, and assesses whether and how such issues are considered in national policies. It identifies policy recommendations and research needs. More information is available from the project team: ceeez2015@gmail.com and jen.cronin@ucl.ac.uk. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK AID from the UK Government. Views expressed herein do not necessarily reflect the UK government's official policies.

Abstract 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. Therefore, this article provides data that can be used to create a simple zero order energy system model for Zimbabwe, 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.