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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MS Excel Spreadsheet - 750.8 KB - MD5: f5e229f42718ec30cfb440a1082380a7
MS Excel Spreadsheet - 750.9 KB - MD5: 8349981f48b5f01ab7f4013b76f899d0
MS Excel Spreadsheet - 19.4 KB - MD5: 953273532cfb30dfc3cb53845302653d
MS Excel Spreadsheet - 17.3 KB - MD5: d85f418f04a497a38ab20d53a844b9db
7Z Archive - 10.3 MB - MD5: 362f0012f870f3a003fceb52ff50762b
Comma Separated Values - 615.6 KB - MD5: 9695794c4a2f5e92f545689f443c943a
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 - MCA Questionnaire
Adobe PDF - 32.6 KB - MD5: 134c048ee017f282db6b6ba611efa9b3
Expert questionnaire, based on which the weightings of the multi-criteria analysis were determined.
Tabular Data - 7.6 KB - 1 Variables, 184 Observations - UNF:6:7OP1P8b/iGB3inAc/1wS3g==
Results of multi-criteria analysis with objective weightings
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