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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11 to 20 of 46 Results
Comma Separated Values - 643.5 KB - MD5: f8d3f451d760f3d5f0025c423643b99c
III Energy System Modelling - Covid-case(Reiner Lemoine Institut)
Feb 14, 2024EnerSHelF WP 3.4.7 Covid-case Data
This dataverse is summarising the results of the energy system modelling to support the paper "Improving vaccination access in Ghana through electrification - A geospatial analysis"
Feb 14, 2024 - IV MCA Covid-case Data
Andrade, Andrés, 2024, "MCA Questionnaire", https://doi.org/10.7910/DVN/YHM8SB, Harvard Dataverse, V1
The dataset contains the expert questionnaire, based on which the weightings of the multi-criteria analysis were determined.
Feb 14, 2024 - MCA Questionnaire
Adobe PDF - 32.6 KB - MD5: 134c048ee017f282db6b6ba611efa9b3
Expert questionnaire, based on which the weightings of the multi-criteria analysis were determined.
Feb 14, 2024 - IV MCA Covid-case Data
Andrade, Andrés, 2024, "Results of the multi-criteria analysis to prioritize health care facilities for electrification", https://doi.org/10.7910/DVN/T4XOZC, Harvard Dataverse, V1, UNF:6:sXwwCZl0VMtF96aDC+W4iQ== [fileUNF]
Results of the multi-criteria analysis to prioritize health care facilities for electrification. The multi-criteria analysis was carried out in the study once with objective weightings and once with subjective weightings.
Tabular Data - 7.6 KB - 1 Variables, 184 Observations - UNF:6:7OP1P8b/iGB3inAc/1wS3g==
Results of multi-criteria analysis with objective weightings
Tabular Data - 7.6 KB - 1 Variables, 184 Observations - UNF:6:XY+yIWkriUONYLpXjeLiEg==
Results of multi-criteria analysis with subjective weightings
IV MCA Covid-case Data(Reiner Lemoine Institut)
Feb 14, 2024EnerSHelF WP 3.4.7 Covid-case Data
This dataverse is summarising the results of the multi-criteria analysis for to support the paper "Improving vaccination access in Ghana through electrification - A geospatial analysis"
EnerSHelF WP 3.4.7 Covid-case Data(Reiner Lemoine Institut)
Feb 13, 2024
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:/...
Oct 4, 2023 - II Energy System Modelling
Lammers, Katrin; Linke, Avia, 2023, "Input time-series for Offgridders", https://doi.org/10.7910/DVN/FKQKGB, Harvard Dataverse, V2
Demand and PV generation input time-series for each project site in hourly timesteps for the year 2019. Columns and their unit are: 1) "demand_healthfacility" in [kW] 2) "demand_combi" in [kW] (combined demand of health care facility and surrounding households) 3) "SolarGen" in [kWp] The data is provided in a zip archives, with all time-series for...
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