Data provided in this dataverse is collected, acquired and processed within the EnerSHelF (Energy Supply for Healthcare Facilities in Ghana) project financed by the German Federal Ministry of Education and Research (BMBF). Funding period: 01.06.2019 – 31.03.2023. BMBF funding grant number 03SF0567C. For additional information, please visit: https://enershelf.de/
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21 to 30 of 46 Results
Oct 4, 2023 - II Energy System Modelling
Lammers, Katrin; Linke, Avia, 2023, "Demand estimation tool (RAMP) input data", https://doi.org/10.7910/DVN/TY6PUN, Harvard Dataverse, V2
Excel input files with appliance lists and their technical parameters for four Ghananian health facility types: 1) CHPS (Community Health Planning and Service) 2) Maternity Homes & Reproductive Child Health 3) Health Centres 4) Clinics. Four different RAMP-input files are provided, one for each health care facility type.
Oct 4, 2023 - II Energy System Modelling
Linke, Avia; Lammers, Katrin, 2023, "Offgridders energy system modelling results", https://doi.org/10.7910/DVN/BZF5QI, Harvard Dataverse, V2
Energy system modelling results based on Offgridders optimisation and simulation for different energy system setups (diesel-only and PV, battery diesel), sensitivities (0, 5, and 10 % shortage allowance). Parameters such as installed capacities, first investment, net present value and levelised cost of electricity are provided. Two different result...
Oct 4, 2023 - II Energy System Modelling
Linke, Avia; Lammers, Katrin, 2023, "Offgridders input data", https://doi.org/10.7910/DVN/RCYOV8, Harvard Dataverse, V2
Techno-economic input data for energy system modelling in Offgridders for Ghanaian health care facilities including data sources, case definitions, sensitivity analysis parameter, definition of project sites and path definition. Two different input files are provided to model the energy system for: 1) health care facilities only, 2) the health care...
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Healthcare Facilities in Ghana", https://doi.org/10.7910/DVN/AH4M1E, Harvard Dataverse, V1
Contains two georeferenced files (geopackages). One has 2,614 correctly georeferenced health facilities across Ghana. The other contains a subsection of 184 health facilities, for which mini-grid energy system simulations were run. All georeferenced files have the projected coordinate system EPSG:32630.
Unknown - 140.0 KB - MD5: 25d43434936d7bd58cf28b4b3bb7d5cb
Geopackage (.gpkg) file with the 184 selected georeferenced healthcare facilities used for this study, represented as points. Columns are: facility name, type, town, region, district, ownership,area of settlement in which the HCF is located, settlement population by 2020, number of households attributed to the HCF.
Unknown - 556.0 KB - MD5: f977fc3d4103568053675cc60ede2188
Geopackage (.gpkg) file with all georeferenced healthcare facilities in Ghana represented as points. Attributes include: type of facility, ownership, as well as the town, district and region in which they are located.
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Electricity Infrastructure in Ghana", https://doi.org/10.7910/DVN/7VAEIS, Harvard Dataverse, V1
Contains georeferenced files (geopackages) with Ghana's electricity infrastructure. Includes: electricity grid network, nightlight imagery, and binary night-light mask derived from it depicting electrified from non-electrified areas in Ghana. All georeferenced files have the projected coordinate system EPSG:32630.
Unknown - 1.6 MB - MD5: aa5858c0ae2e6366b9fbd0b774819daa
Geopackage with electricity grid infrastructure in Ghana. Only attributes included: unique identifier and source of (multi)line features.
Unknown - 8.5 MB - MD5: 47bc9877fded0fce860277316d93852a
Geopackage file with a single polygon representing off- and weak-grid areas in Ghana, i.e. areas assumed to be unelectrified.
TIFF Image - 6.4 MB - MD5: b831c443348720260b638412573bf8bc
Geotif file with nightlight imagery of Ghana used for this study.
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