Data were primarily collected from the reports and websites of international organizations, including the International Renewable Energy Agency (IRENA), United Nations Statistics, and the Intergovernmental Panel on Climate Change (IPCC). Additionally, data were sourced from The Electricity Model Base for Africa (TEMBA), an existing OSeMOSYS model of African electricity supply .
2.1 Electricity Supply System Data
Data on Mali's existing on-grid power generation capacity, presented in Table 1, were extracted from the PLEXOS World dataset [3,4,5] using scripts from OSeMOSYS global model generator . PLEXOS World provides estimated capacities and commissioning dates by power plant, based on the World Resources Institute Global Power Plant database . These data were used to estimate installed capacity in future years based on the operational life data in Table 2. Data on Mali's off-grid renewable energy capacity were sourced from yearly capacity statistics produced by IRENA . Cost, efficiency and operational life data in Table 2 were collected from reports by IRENA [7,8,9], which provide generic estimates for these parameters by technology. These reports also provide projections of future costs for renewable energy technologies. These data are presented in Table 3 and Figure 2, where it was assumed that costs fall linearly between the data points provided by IRENA and that costs remain constant beyond 2040 when the IRENA forecasts end.
Country-specific capacity factors for solar PV, onshore wind and hydropower were sourced from Renewables Ninja and the PLEXOS-World 2015 Model Dataset [3,10,11]. These sources provide hourly capacity factors for 2015 for solar PV and wind, and 15-year averages monthly capacity factors for hydropower, the average values of which are presented in Table 2. These data were also used to estimate capacity factors for 8 time slices used in the OSeMOSYS model (see detail in Annex 1). Capacity factors for other technologies were sourced from reports by IRENA [8,12], which provide generic estimates for each technology. The costs and efficiencies of power transmission and distribution were sourced from TEMBA reference case , which provides generic cost estimates and country-specific efficiencies which consider expected efficiency improvements in the future. Techno-economic data for refineries were sourced from the IEA Energy Technology Systems Analysis Programme (ETSAP) , which provides generic estimates of costs and performance parameters, while the refinery options modelled are based on the methods used in TEMBA .
2.2 Fuel Data
The crude oil price is based on an international price forecast produced by the US Energy Information Administration (EIA), which runs to 2050 . The price was increased by 10% for imported oil to reflect the cost of importation. The price of imported HFO and LFO were calculated by multiplying the oil price by 0.8 and 1.33 respectively, based on the methods used in TEMBA . The prices of coal, natural gas and biomass were sourced from an IRENA report , which provides generic estimates for costs to 2030. Again, a linear rate of change was assumed between data points from IRENA, and the forecast was extended to 2040 using the rate of change between 2020 and 2030. Prices were then assumed constant after 2040. The cost of domestically-produced biomass was increased by 10% to estimate a cost of imported biomass.
2.3 Emissions Factors and Domestic Reserves
Emissions factors were collected from the IPCC Emission Factor Database , which provides carbon emissions factors by fuel. Domestic renewable energy potentials for solar PV, CSP and wind were collected from an IRENA-KTH working paper , which provides estimates of potential yearly generation by country in Africa. Other renewable energy potentials were sourced from a regional report by IRENA  and the World Small Hydropower Development Report , which provide estimated potentials in MW by country. Estimated domestic fossil fuel reserves are from the websites of The World Bank and US EIA [20,21], which provide estimates of reserves by country.
2.4 Electricity Demand Data
The final electricity demand projection is based on data from the TEMBA Reference Scenario dataset , which provides yearly total demand estimates from 2015-2070 under a reference case scenario.