遇见数据集

RESSAIG – Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System: Dataset 1 – GIS layers inputs for PV/green-hydrogen suitability mapping (Algeria)

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Zenodo2026-01-22 更新2026-05-26 收录
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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.

提供机构:
Zenodo
创建时间:
2026-01-22
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