ECREEE

CapeVerde_DNI_latlon CapeVerde_DNI CapeVerde_DNI_latlon
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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 Verde

Email: 

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 (113)

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)

climaticzones (climatic_zones_westafrica)

csp_gwh (csp_gwh)

Land suitability classes CSP Grid connected (csp_st)

distribut_grid (distribution_grid)

Existing and planned distribution grid network (less than 33KV) in the ECOWAS Region. The dataset was compiled and developed in house at ECREEE by the ECOWREX team by using different sources of information that can be consulted in the metadata of the layer

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)

gridnetwork_wapp_2017 (gridnetwork)

This layer has information on the grid network in West Africa, ECOWAS region. More specifically, medium and high transmission lines are covered. The information comes from the West African Power Pool (WAPP), ECOWAS Organization that collects and validates this information yearly.

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

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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