The resource was developed by CENER (The National Renewable Energy Center, Spain) for ECREEE. High resolution data of 1km x 1km developed using Numerical Weather Prediction (NWP) model from hourly meteorological weather files of over 10 years. Dataset is provided in raster format (.geotiff) at a resolution of 1 km. It ranges from 1200 to 2800 KWh/m2/year. Around 87% of the total surface of the ECOWAS region has long term annual DNI values greater than 1800 KWh/m2.

The suitability maps, contain information on locations suitable for installation of the respective solar systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for solar systems deployment according to topographical, legal, and social constraints, as well as factors that could facilitate or impede solar generation development. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies.

The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Grid connected installations - practical scenario: Installation connected to the electrical grid, ease of installation maximized

The Africa land cover map is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. From the Africa land cover map, which is a regional component of the GLC2000 exercise, conceived and coordinated by the European Commission’s Joint Research Centre. The GLC2000 maps are based on daily observations made from 1st November 1999 to 31st December 2000 by the VEGETATION sensor on the SPOT 4 satellite. Legend- definition of the Gray index value: -11: post-flooding or irrigated croplands -14: rainfed croplands -20: mosaic cropland (50-70%) / Vegetation (grassland, shrubland, forest) (20-50%) -30: mosaic vegetation (grassland, shrubland, forest) (50-70%) / cropland (20-50%) -40: closed to open (>15%) broadleaved evergreen and/or semi-deciduous forest (>5m) -50: closed (>40%) broadleaved deciduous forest (>5m) -60: open (15-40%) broadleaved deciduous forest (>5m) -70: closed (>40%) needleleaved evergreen forest (5m) -90: open (15-40%) needleleaved deciduous or evergreen forest (5m) -100: closed to open (>15%) mixed broadleaved and needleleaved forest (>5m) -110: mosaic forest / shrubland (50-70%) / grassland (20-50%) -120: mosaic grassland (50-70%) / forest/shrubland (20-50%) -130: closed to open (>15%) shrubland (<5m) -140: closed to open (>15%) grassland -150: sparse (>15%) vegetation (woody vegetation, shrubs, grassland) -160: closed (>40) broadleaved forest regularly flooded- fresh water -170: closed (>40%) broadleaved semi-deciduous and/or evergreen forest regularly flooded- saline water -180: closed to open (>15%) vegetation (grassland, shrubland, woody vegetation) on regularly flooded or waterlogged soil- fresh, brackish or saline water -190: artificial surfaces and associated areas (urban areas >50%) -200: bare areas -210: water bodies -220: permanent snow and ice

The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Off-grid installations - ecological scenario: Installation NOT connected to the electrical grid, environmental impacts minimized

The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Grid connected installations - ecological scenario: Installation connected to the electrical grid, environmental impacts minimized

The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Off-grid installations - practical scenario: Installation NOT connected to the electrical grid, ease of installation maximized

Dataset includes an estimation of the demand for electricity from households onto a geographic grid at 1km x 1km of spatial resolution. Dataset mainly focus on the demand for electricity of urban residential, commercial, and small industries, according to the WAPP 2013 (Miketa, A. and Merven, B., 2013) subdivision. Dataset does not include demand from heavy industry (e.g. mining), which connects to generation at a high voltage and generally requires less transmission and no distribution infrastructure. Taking that into consideration, in rural areas the electricity demand can be considered closely related to the number of inhabitants, the principal dis-aggregation algorithm, that estimates the electricity demand for each cell (x,y) of the geographic grid is based on:. Electricity demand(x,y) = electricity demand(capita) * number people(x,y) where Electricity demand(x,y) corresponds to the demand for the cell at the x,y position, the electricity demand per capita is calculated at national level according to IRENA 2013 data, and the number of people (x,y) corresponds to the people living in the cell at the x,y position Data is expressed as electricity demand in MWh per year per cell for the year 2015

Main water areas in the ECOWAS region extracted from the DIVA-GIS project

The resource was developed by NEXANT (EEUU) for ECREEE using 3TiER global dataset. The methodology is explained in the resource below available for downloading. Dataset is available in raster format (.geotiff) with a resolution of 3,5 km.