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/
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 18 of 18 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.
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.
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Population Settlements in Ghana", https://doi.org/10.7910/DVN/FLBK2M, Harvard Dataverse, V1
This dataset contains all population settlements in Ghana used in this study, based on the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) and High Resolution Settlement Layer (HRSL) data. Columns and their unit are: 1) type (BUA, SSA, or hamlet), 2) "Area_km2" [km^2], 3) "Region", 4) "District", 5) "Pop2020" as absolute...
II Energy System Modelling(Reiner Lemoine Institut)
Mar 9, 2023
This dataverse is summarising the results of the energy system modelling to support the paper "Increasing energy self-sufficiency for health facilities in Ghana through solar power - a geospatial-supported energy system modelling approach"
I Geospatial Analysis(Reiner Lemoine Institut)
Mar 9, 2023
This dataverse is summarising the results of the geospatial analysis conducted to support the paper "Increasing energy self-sufficiency for health facilities in Ghana through solar power - a geospatial-supported energy system modelling approach"
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.