Published January 13, 2026
| Version v1.0.0
Dataset
Open
RESSAIG – Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System: Dataset 1 – GIS layers inputs for PV/green-hydrogen suitability mapping (Algeria)
Authors/Creators
- 1. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
- 2. Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, Ghardaïa, Algeria
- 3. Department of Earth Sciences, University of Florence, Florence, Italy.
Description
This dataset contains the core input data used to develop GIS-based suitability mapping for utility-scale photovoltaic (PV) deployment and subsequent green-hydrogen (PtX) assessments in Algeria. It combines harmonised geospatial layers (resource availability, land-use constraints, and infrastructure/connection proxies) with time-series inputs used in the modelling workflow and in the generation/validation of derived techno-economic and environmental indicators, including LCOE (Levelized Cost of Electricity), LCOH (Levelized Cost of Hydrogen), PV suitability outputs, and natural gas saving (as a proxy for avoided emissions/energy substitution) maps.
Files
RESSAIG_Dataset1_InputData_v1.0.0.zip
Additional details
Funding
Dates
- Created
-
2026-01-13First public release