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  • 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. The project “Regional potential assessment of novel bio energy crops in fifteen ECOWAS countries” was started by the different project partners (ECREEE, UNIDO and QUINVITA) based on the need to make an overall assessment of a series of novel potential bio energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. This project fits in a broader strategic analysis of alternative energy needs and production, the key mandate of the mainfunding partner in the project, ECREEE. The project partners deliberately excluded conventional “bio energy” crops like sugarcane, oil palm, maize or sunflower as target crops, since they believed a sufficient knowledge base on the growing and processing crops was available globally and in the region. The novel bio energy crops chosen as targets for the study are a selection of crops for which either the agricultural knowledge is still limited and/or the use of the crop as an energy source is relatively new. The project team realizes that the list of selected crops is not an exhaustive list of potential bio energy crops and other novel crops may have a potential in the region. The project will develop a methodology that can be followed in the future for analyzing the potential of other crops and does not want to exclude this analysis in the future. The crops that have been selected for analysis in this project are: False Flax (Camelina sativa), Crambe (Crambe abyssinica), Cassava (Manihot esculenta), Castor bean (Ricinus communis), Cashew (Anacardium occidentale), Groundnut (Arachis hypogaea), Jatropha curcas and sweet sorghum (sweet version of Sorghum bicolor).

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

  • National administrative boundaries of ECOWAS countries: Benin, Burkina Faso, Cabo Verde, Côte d'Ivoire, Gambia, Ghana, Guinea, Guinea Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone and Togo

  • The layer provides quantitative information about the inhabitants main points in the different countries for the ECOWAS region

  • 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.

  • Includes Data for PV plants, Wind plants, Hydro Power plants, Biomass plants, Ocean Wave plants and conventional energy power plants (coal, diesel, gas and heavy fuel plants) categorized accordingly as operational or planned within a wide range operating capacity. The data is compiled by ECREEE from various sources including: Ministries of Energy of ECOWAS member states, National Information of Energy System reports (SIE), official national utilities websites and reports and the West African Power Pool (WAPP) database. HYDRO POWER PLANTS (information reviewed and updated in 2016): Regarding the information on hydro power plants (small, medium and large): First, the capacity class is according to the ECOWAS classification (small < 30MW, medium 30-100 MW, large > 100 MW). Secondly, the dataset was created using the following methodology: 1. Data on existing and planned hydropower facilities in West Africa was collected from various sources. The main databases investigated were: - ECOWREX database before December. 2015 - GranD database version 1.1 of March 2011 - Aquastat database on dams in Africa of July 2013 - List of “Hydropower & Dams in Africa 2014” in the International Journal on Hydropower & Dams 2015 special issue on “Water Storage and Hydropower Development for Africa” - JICA Nigeria Master Plan - SHP News, Spring 2005: “Small Hydropower – An important renewable Energy source for rural electrification in Nigeria”. Information about the small scale HPPs around the Jos Plateau (Nigeria) - Small Hydropower Projects in Nigeria, Yekinni et al., IJRRAS 22(1), 1/2015 - Website Guinea: http://www.sieguinee-dne.org/index.php/cartographie.html - Map of hydroelectric powerplants in Burkina Faso - World Small Hydropower Development Report 213 - Ghana information Main Power Generation Excel table provided by ECREEE - International Water Power & Dam Construction, Yearbook 2012, table “Dams & hydro plants”. - SE4ALL database by Mr. Pascal Habay - Additional sources: Many individual pieces of information were collected from HPP design documents, research reports, reports by governmental authorities and non-governmental organizations, corporate communiques and reports, newspaper articles etc. 2. Existence and location of the facilities were checked with the aid of satellite imagery. When a location was verified, the exact coordinates were taken from the corresponding point on the river network (GIS vector layer derived from Hydrosheds). 3. For all existing HPPs (operational HPPs and HPPs under construction and under refurbishment), existing information was compared and cross-checked and the most plausible values included in the attribute table. At several HPPs different data sources listed different values e.g. for the installed capacity or dam height. For planned, proposed and identified HPPs, the information from ECREEE and SE4ALL databases was adopted without further investigation

  • 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

  • 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

  • This dataset was generated using GIS methods to estimate technical potential for solar electricity generation in rural areas of ECOWAS region. Technical potential of solar generation in a chosen area may be defined as the amount of the total yearly solar radiation available in that area, taking into account existing geographical constraints, ("suitability maps") that can be converted into electricity given the available solar power technologies. Technical potentials in GWh per year per cell at 1km resolution have been calculated by multiplying DNI (or GHI) for the technical parameters (performance, efficiency) related to CSP or PV, and for the available area. The available area was estimated using for: - CSP (grid connected) only cells with land suitability score > 302 (5% of total cells) - PV (grid connected) only cells with land suitability score > 299 (5% of total cells) - PV (off grid) only cells with land suitability score > 255 (5% of total cells)

  • Data provides information about novel potential bio-energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. The project “Regional potential assessment of novel bio energy crops in fifteen ECOWAS countries” was started by the different project partners (ECREEE, UNIDO and QUINVITA) based on the need to make an overall assessment of a series of novel potential bio energy crops which can or could be grown and processed in the future in the 15 ECOWAS countries. This project fits in a broader strategic analysis of alternative energy needs and production, the key mandate of the mainfunding partner in the project, ECREEE. The project partners deliberately excluded conventional “bio energy” crops like sugarcane, oil palm, maize or sunflower as target crops, since they believed a sufficient knowledge base on the growing and processing crops was available globally and in the region. The novel bio energy crops chosen as targets for the study are a selection of crops for which either the agricultural knowledge is still limited and/or the use of the crop as an energy source is relatively new. The project team realizes that the list of selected crops is not an exhaustive list of potential bio energy crops and other novel crops may have a potential in the region. The project will develop a methodology that can be followed in the future for analyzing the potential of other crops and does not want to exclude this analysis in the future. The crops that have been selected for analysis in this project are: False Flax (Camelina sativa), Crambe (Crambe abyssinica), Cassava (Manihot esculenta), Castor bean (Ricinus communis), Cashew (Anacardium occidentale), Groundnut (Arachis hypogaea), Jatropha curcas and sweet sorghum (sweet version of Sorghum bicolor).