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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41 to 46 of 46 Results
MS Excel Spreadsheet - 17.0 KB - MD5: ad3b9433b5ac0b769e36a27393735356
https://github.com/rl-institut/RAMP/blob/dev/docs/input_parameters.md
MS Excel Spreadsheet - 14.8 KB - MD5: b8d08b81da6317077036313e1cca0f67
https://github.com/rl-institut/RAMP/blob/dev/docs/input_parameters.md
MS Excel Spreadsheet - 14.0 KB - MD5: d24a9aab3d7c7aff7acd2a736352ebf6
https://github.com/rl-institut/RAMP/blob/dev/docs/input_parameters.md
7Z Archive - 9.9 MB - MD5: 173da157bfdac20e2b92b540db122adb
demand and pv input time-series for 2019 for all 184 health care facility sites
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"
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