ECREEE |
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[no service title]
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- Interface
- Web Service, OGC Web Map Service 1.3.0
- Keywords
- Fees
- none
- Access constraints
- none
- Supported languages
- No INSPIRE Extended Capabilities (including service language support) given. See INSPIRE Technical Guidance - View Services for more information.
- Data provider
-
ECREEE (unverified)
Contact information:
Jafaru Abdulrhaman
ECREEE
Work:
Achada Sao Antonio, 288 Praia, Cape VerdeEmail:
Phone: +238 2604630
- Service metadata
- No INSPIRE Extended Capabilities (including service metadata) given. See INSPIRE Technical Guidance - View Services for more information.
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Available map layers (129)
CapeVerde_DNI (CapeVerde_DNI)
CapeVerde_GHI (CapeVerde_GHI)
CapeVerde_TEMP (CapeVerde_TEMP)
CapeVerde_Wind_Power_density_100m (CapeVerde_Wind_Power_density_100m)
CapeVerde_Wind_Power_density_40m (CapeVerde_Wind_Power_density_40m)
CapeVerde_Wind_Power_density_60m (CapeVerde_Wind_Power_density_60m)
CapeVerde_Wind_Power_density_80m (CapeVerde_Wind_Power_density_80m)
CapeVerde_Wind_Speed_100m (CapeVerde_Wind_Speed_100m)
CapeVerde_Wind_Speed_40m (CapeVerde_Wind_Speed_40m)
CapeVerde_Wind_Speed_60m (CapeVerde_Wind_Speed_60m)
CapeVerde_Wind_Speed_80m (CapeVerde_Wind_Speed_80m)
Senegal_Gambia_GuineeBissau_TEMP (Senegal_TEMP)
Senegal_Gambia_GuineeBissau_Wind_Power_density_100m (Senegal_Wind_Power_density_100m)
Senegal_Gambia_GuineeBissau_Wind_Power_density_40m (Senegal_Wind_Power_density_40m)
Senegal_Gambia_GuineeBissau_Wind_Power_density_60m (Senegal_Wind_Power_density_60m)
Senegal_Gambia_GuineeBissau_Wind_Power_density_80m (Senegal_Wind_Power_density_80m)
Senegal_Gambia_GuineeBissau_Wind_Speed_100m (Senegal_Wind_Speed_100m)
Senegal_Gambia_GuineeBissau_Wind_Speed_40m (Senegal_Wind_Speed_40m)
Senegal_Gambia_GuineeBissau_Wind_Speed_60m (Senegal_Wind_Speed_60m)
Senegal_Gambia_GuineeBissau_Wind_Speed_80m (Senegal_Wind_Speed_80m)
SierraLeone_DNI (SierraLeone_DNI)
SierraLeone_GHI (SierraLeone_GHI)
SierraLeone_TEMP (SierraLeone_TEMP)
SierraLeone_Wind_Power_density_100m (SierraLeone_Wind_Power_density_100m)
SierraLeone_Wind_Power_density_40m (SierraLeone_Wind_Power_density_40m)
SierraLeone_Wind_Power_density_60m (SierraLeone_Wind_Power_density_60m)
SierraLeone_Wind_Power_density_80m (SierraLeone_Wind_Power_density_80m)
SierraLeone_Wind_Speed_100m (SierraLeone_Wind_Speed_100m)
SierraLeone_Wind_Speed_40m (SierraLeone_Wind_Speed_40m)
SierraLeone_Wind_Speed_60m (SierraLeone_Wind_Speed_60m)
SierraLeone_Wind_Speed_80m (SierraLeone_Wind_Speed_80m)
Togo and Benin_south DNI (Togo_DNI)
Togo_Benin_south_GHI (Togo_GHI)
Togo_Benin_south_TEMP (Togo_TEMP)
Togo_Benin_south_Wind_Power_density_100m (Togo_Wind_Power_density_100m)
Togo_Benin_south_Wind_Power_density_40m (Togo_Wind_Power_density_40m)
Togo_Benin_south_Wind_Power_density_60m (Togo_Wind_Power_density_60m)
Togo_Benin_south_Wind_Power_density_80m (Togo_Wind_Power_density_80m)
Togo_Benin_south_Wind_Speed_100m (Togo_Wind_Speed_100m)
Togo_Benin_south_Wind_Speed_40m (Togo_Wind_Speed_40m)
Togo_Benin_south_Wind_Speed_60m (Togo_Wind_Speed_60m)
Togo_Benin_south_Wind_Speed_80m (Togo_Wind_Speed_80m)
Background (background)
cemgs_10102019 (cemgs_10102019)
Existing and operational Clean Energy Minigrids in the ECOWAS region. Renewable energy mini-grid, hybrid mini-grid or Clean Energy Minigrid it is defined as a mini-grid where at least 10% of the total installed capacity is renewable-energy based. The layer contains the existing and operational plants for which the location is known. The complete list of existing and operational plants is regularly updated in the country profiles section of ECOWREX
climaticzones (climatic_zones_westafrica)
csp_gwh (csp_gwh)
Land suitability classes CSP Grid connected (csp_st)
density_offgrid_villages_2023 (density_offgrid_villages_2023)
Density of identified off-grid villages in ROGEP countries by 2023, per country administrative boundary level 1 or 2. The different types of electricity demand in the villages (households, public institutions, SMEs, etc.) could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
density_offgrid_villages_2030 (density_offgrid_villages_2030)
Density of identified off-grid villages in ROGEP countries by 2030, per country administrative boundary level 1 or 2. The different types of electricity demand in the villages (households, public institutions, SMEs, etc.) could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
distribut_grid_2019_v4 (distribut_grid_2019_v4)
Existing and planned distribution grid network (11KV-33KV) in the ECOWAS region. The dataset has been produced by the ECOWREX team using different sources of information. For more information check the metadata entry for the layer on the ECOWREX metadata catalog
ecowas_blankmap (ecowas_blankmap)
ECOWAS countries boundaries (ecowas_country_admin)
Administrative boundaries of the 15 ECOWAS countries
ecowpop (ecowpop)
Annual precipitation (ecreee_P)
Data has been used to calculate climate suitability maps for Camelina sativa, Anacardium occidentale, Manihot esculenta, Ricinus communis, Crambe abyssinica, Arachis hypogaea, Sweet sorghum and Jatropha curcas for the ECOWAS region. The purpose is providing information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries
ecreee_ecreee_Temperature (ecreee_T)
Mean temperature wettest quarter (ecreee_T_old)
Data has been used to calculate climate suitability maps for Camelina sativa, Anacardium occidentale, Manihot esculenta, Ricinus communis, Crambe abyssinica, Arachis hypogaea and Sweet sorghum for the ECOWAS region. The purpose is providing information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries
Direct Normal Solar Irradiance (DNI) map for West Africa (ecreee_dni)
High resolution data of 2 km x 2 km developed using the Numerical Weather Prediction (NWP) model from hourly meteorological weather files of over 10years, covering the West African region
GHI_new (ecreee_ghi)
West Africa land cover map for 2000 (ecreee_landcover)
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. The map shows specific land-cover features as the irrigated agriculture, the ribbons of secondary forest of the swamp forests at a spatial detail never achieved before.
Energy generator (ecreee_v_energy_generators_simple)
Includes Data for PV, Wind, Small Scale Hydro, biomass, Ocean Wave and other power plants categorized accordingly as either planned, operational, identified or closed power plants, within a wide range operating capacity. The data was compiled by ECREEE from various sources including the National Energy ministries and utilities, West African Power Pool, World Bank and other research and private stakeholders form with the ECOWAS Region
Projects (ecreee_v_projects)
The Global Environmental Facility Strategic Program for West Africa (GEF-SPWA), The ECOWAS Renewable Energy Facility (EREF) for Peri-urban and Rural Areas, The ECOWAS Renewable Energy Investment Initiative (EREI), The ECREEE projects and the non-initiative projects consist on a series of Investment Promotion Projects for the renewable energy development in the ECOWAS region
v_projects_simple (ecreee_v_projects_simple)
Stakeholders (ecreee_v_stakeholders_simple)
Data provides information about the different Academia and research organizations, Civil society/NGO, Energy equipment manufacturers, Energy regulators, Energy Specialists/Consultant firms, Energy supply industry, Entrepeneur/Productive Industry, Financial Institutions, Governments, International Organizations and Media implicated in the field of expertise of RE and EE in the ECOWAS region
wind (ecreee_wind)
education_ecowas_offgrid_2023_v2 (education_rogep_offgrid_2023)
Location of education facilities in West Africa that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
education_ecowas_offgrid_2030 (education_rogep_offgrid_2030)
Location of education facilities in West Africa that could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
gridnetwork_2018_v3 (gridnetwork_2018_v3)
The layer has information on the medium and high voltage electricity transmission network in West Africa. The main source is the West African Power Pool (WAPP). The layer is updated through data collected from official sources of information from the Member States.
health_ecowas_offgrid_2023 (health_rogep_offgrid_2023)
Location of health facilities in West Africa that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
health_ecowas_offgrid_2030 (health_rogep_offgrid_2030)
Location of education facilities in West Africa that could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
hh_offgrid_ecowas2023 (hh_offgrid_ecowas2023)
Density of identified off-grid households in ROGEP countries by 2023, per country administrative boundary level 1. The households could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
hh_offgrid_ecowas2030 (hh_offgrid_ecowas2030)
Density of identified off-grid households in ROGEP countries by 2030, per country administrative boundary level 1. The households could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
Precipitation seasonality (jartropha_precipitation_seasonality_ecreee)
Data has been used to calculate a climate suitability map for Jatropha curcas for the ECOWAS region. The purpose is providing information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries
minigrid_ecowas_2023 (minigrid_ecowas_2023)
Location of settlements that could have access to electricity through mini-grids by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
minigrid_ecowas_2030 (minigrid_ecowas_2030)
Location of settlements that could have access to electricity through mini-grids by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
offgrid_ecowas_2023 (offgrid_ecowas_2023)
Location of settlements that could have access to electricity through off-grid solutions by 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
offgrid_ecowas_2030 (offgrid_ecowas_2030)
Location of settlements that could have access to electricity through off-grid solutions by 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
settlements_locations_off_grid_irrigable_ecowas (offgrid_ecowas_irrigation)
Location of settlements in West Africa in identified irrigable off-grid areas in 2018, that could still be in off-grid areas in 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
ongrid_ecowas_2023 (ongrid_ecowas_2023)
Location of settlements that could be connected to national electricity grids in 2023 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
ongrid_ecowas_2030 (ongrid_ecowas_2030)
Location of settlements that could be connected to national electricity grids in 2030 according to the least-cost analysis conducted in the framework of the off-grid solar market assessment and private sector support facility design, which was done as an activity of the sub-component 1A of the Regional Off-Grid Electrification Project (ROGEP).
p_wettest_quarter_ecreee (p_wettest_quarter_ecreee)
pvgc_gwh (pvgc_gwh)
Land suitability classes PV Grid connected (pvgc_st)
pvog_gwh (pvog_gwh)
Land suitability classes PV off-Grid (pvog_st)
(rivernetwork_discharge_far_future)
Visualization of the river network shapefile produced during the implementation of the hydro power potential GIS mapping project of all west African rivers. This visualization shows the change in future mean annual discharge in % (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(rivernetwork_discharge_near_future)
Visualization of the river network shapefile produced during the implementation of the hydro power potential GIS mapping project of all west African rivers. This visualization shows the change in future mean annual discharge in % (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(rivernetwork_plant_size)
Visualization of the river network shapefile produced during the implementation of the GIS mapping of hydro power potential of all west African rivers. This visualization shows the preferred hydropower plant size for each of the river reaches modeled in West Africa
(rivernetwork_rivers)
Visualization of the river network shapefile produced during the implementation of the GIS mapping of hydro power potential of all west African rivers. This visualization shows the river network with name of the main rivers in West Africa
(rivernetwork_specific_hydropowerpotential)
Visualization of the river network shapefile produced during the implementation of the GIS mapping of hydro power potential of all west African rivers. This visualization shows the specific hydropower potential (MW/Km) simulated for the period 1998-2014)
(rivernetwork_theoretical_hydropowerpotential)
Visualization of the river network shapefile produced during the implementation of the GIS mapping of hydro power potential of all west African rivers. This visualization shows the theoretical hydropower potential (MW) simulated for the period 1998-2014
ruri_kwh (ruri_kwh)
rurr_kwh (rurr_kwh)
roads (spatial_highway)
Provides an estimated data of the entire primary and secondary road network including the road surface type, condition and traffic volume in ESRI shapefile format, compiled by Tecsult for the Infrastructure Consortium for Africa (ICA), led by the World Bank
spatial_location (spatial_location)
Natural areas (spatial_natural)
West Africa gas pipeline (spatial_pipeline)
The data provides information about the development of the Gas Pipeline project for West Africa, including the gas station at each Member state. Compiled by ECREEE from the West African Gas Pipeline Company’s (WAPCO), the data is available in the ESRI shapefile format
spatial_population_cities (spatial_population_cities)
Railway (spatial_rail)
Data provides an estimated framework of the current railway network in the ECOWAS region
Stations (spatial_stations)
Data provides information about the development of the Gas Pipeline project for West Africa, including the gas station at each Member state. Compiled by ECREEE from the West African Gas Pipeline Company’s (WAPCO), the data is available in the ESRI shapefile format
hydro2_subareas (subcatchment_areas)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the boundaries of all sub-catchment areas in West Africa
(subcatchment_areas_mediumhydropower)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the regions with theoretical hydropower potential (MW) that is attractive for medium/large plants (>30MW installed capacity) simulated for the period 1998-2014
(subcatchment_areas_minihydropower)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the regions with theoretical hydropower potential (MW) that is attractive for pico/micro/mini hydropower plants (less than 1MW installed capacity) simulated for the period 1998-2014
(subcatchment_areas_smallhydropower)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the regions with theoretical hydropower potential (MW) that is attractive for small plants (less than 1MW installed capacity) simulated for the period 1998-2014
(subcatchment_evapotranspiration)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the mean annual evapotranspiration (mm) simulated for the period 1998-2014
hydro2_subareas (subcatchment_evapotranspiration_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual actual evapotranspiration in % (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
hydro2_subareas (subcatchment_evapotranspiration_nearfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual actual evapotranspiration in % (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_hydropowerpotential_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean hydropower potential in % (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_hydropowerpotential_localrivers_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean hydropower potential in % (2046-2065 vs. 1998-2014)of local rivers (having their source in the same sub-area) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_hydropowerpotential_localrivers_nearfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean hydropower potential in % (2026-2045 vs. 1998-2014)of local rivers (having their source in the same sub-area) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_hydropowerpotential_nearfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean hydropower potential in % (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_power)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the theoretical hydropower potential (MW) simulated for the period 1998-2014 (total of all river reaches located in the sub-area)
(subcatchment_powermedium)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the theoretical hydropower potential (MW) for medium/large hydropower plants (more than 30MW installed capacity) simulated for the period 1998-2014
(subcatchment_powermini)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the theoretical hydropower potential (MW) for pico/micro/mini hydropower plants (less than 1MW installed capacity) simulated for the period 1998-2014
hydro2_subareas (subcatchment_powersmall)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the theoretical hydropower potential (MW) for small hydropower plants (1-30 MW installed capacity) simulated for the period 1998-2014
(subcatchment_precipitation)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the mean annual precipitation (mm) in the period 1998-2014
(subcatchment_precipitation_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual precipitation in % (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_precipitation_nearfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual precipitation in % (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_runoff)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the mean annual runoff (mm) simulated for the period 1998-2014
(subcatchment_runoff_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual runoff in % (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_runoff_nearfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual runoff in % (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
(subcatchment_temperature)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual air temperature in ºC (2026-2045 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
hydro2_subareas (subcatchment_temperature_farfuture)
Visualization of the sub-catchment areas shapefile produced during the implementation of the GIS mapping project of hydro power potential for all west African rivers. This visualization shows the change in future mean annual air temperature in ºC (2046-2065 vs. 1998-2014) for the median projection of 30 climate model runs in the CORDEX-Africa ensemble (RCP4.5 and RCP8.5)
test_BC (test_BC)
Electricity demand in urban areas MWh (urb_mwh)
Suitability for Grid connected installations - ecological scenario (w_gc_ecolo_st)
Suitability for Grid connected installations - practical scenario (w_gc_pract_st)
Suitability for off-Grid installations - ecological scenario (w_og_ecolo_st)
Suitability for off-Grid installations - practical scenario (w_og_pract_st)
Water areas (water_areas)
Data provides information about the main water areas in the ECOWAS region
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