Click on the countries to view information on the tools used

Democratic Republic of The Congo
DRC has high ambitions for energy access but lacks trained engineers capable of establishing detailed energy planning scenarios and assessing and developing systems with high penetration of renewables. This project aims at developing customised models for energy planning for energy access including productive uses of energy, thus providing model-based support to decision-makers. Local data collected from relevant communities will be used used to customise and enrich country-scale energy planning models while including socioeconomic and environmental aspects.

Ethiopia
OSeMOSYS for long-term cost optimal supply side power system planning and OnSSET for spatially explicit least-cost technolohy mix to meet residential electricity demand (explored different scenarios using optimization parameteres including grid buffer distance for intensification, electrification target, new household grid connetions, constraining/allowing diesel generation, discount rate, etc). Softlinking: - [LCoE] from OSeMOSYS to OnSSET - [T&D cost, Capacity factors of off-grid techs, grid/off-grid demand split] to OSeMOSYS. The iteration stopping criteria is when the LCoE converges.

Kenya
Upcoming.

Mauritius
Mauritius has pledged to phase out coal from its energy system by 2030, in line with international initiatives to reduce global warming and advance renewable energy sources. The energy modeling work presented in this paper will be used to analyze a number of possibilities for the gradual replacement of coal in Mauritius' energy mix. The main modeling framework for scenario analysis will be Open Source Energy Modelling System (OSeMOSYS). Additionally, the study will include the use of the International Renewable Energy Agency's (IRENA) FlexTool to validate these scenarios. The objective of this research is to offer policymakers useful insights into attaining a sustainable energy transition in Mauritius by methodically investigating potential approaches.

Republic of South Africa
SATIM (modelled in TIMES) is a full energy sector energy model, with electricity and liquid fuels sectors on the supply side and industrial, transportation commercial and residential users on the demand side. Demand side consumption is disaggregated in the sectors to subsectors and energy services, and technologies supplying these. A dynamic linking of this energy systems model with a macroeconomic general equilibrium model allows for economic analysis of energy-system decisions and ensures that inputs to SATIM are based in economic forecasts rather than arbitrarily specified. SATIM-GE has been evolving over close to two decades and has been used to test the impact of both energy and economic policies and emissions targets on energy prices, the economy, etc.

Senegal
Senegal is facing the challenge of reducing its GHG emissions, as described in its NDC, while at the same time exploiting its oil and gas resources to achieve universal access to electricity. Faced with this situation, this work consists of developing long-term models that consist of developing production that meets demand while integrating socio-economic and environmental aspects to meet the country's energy challenges.
The LEAP tool will be used to define the disaggregated demand of the main sectors (residential, industry and transport). All demand will be captured along with the different energy sources used. Emissions from this demand will also be assessed using the IPCC (2006) methodology.
The OSeMOSYS tool will then be used to model production. Also integrating the reserves (fossil and renewable), the electricity production over the long term will be modelled from the scenarios defined upstream. This will be used to define production costs and GHG emissions.

Tunisia
The model of electricity system describes the actual system including fossil and renewable power plants with future investment options according to the TSP. The model includes primary energy sources, generation, transmission and distribution and storage technologies, energy efficiency and interconnections. The model aims to determine the least cost supply mix while assessing jobs gains and losses, and CO2 emissions. Two scenarios are developed: business-as-usual scenario and Renewable energy integration scenario.

Zambia
Upcoming.