Published November 11, 2026 | Version v3

PLANtoACT Task 2.2: Renewable Energy Potentials Analysis Data

Description

Description

This repository presents the results of the renewable energy potentials estimation carried out within Work Package 2 (WP2, Task 2.2) of the PLANtoACT project.
PLANtoACT is a LIFE Programme–funded project (October 2025–September 2028) that develops, tests, and promotes a stakeholder-driven, spatially detailed integrated energy planning approach to help European Local and Regional Authorities move from clean energy transition targets to coordinated, financed, and implementable action.

Scope of the data assembly

The dataset provides spatial data for the estimation of renewable energy potentials for the five pilot regions of the project: Oberland (Germany), Auvergne-Rhône-Alpes (France), Lombardia (Italy), the Porto Metropolitan Area (Portugal), and Alba County (Romania).
 

Data collection methodology and validation

The data was obtained by combining globally available data sources (e.g., CORINE Land Cover dataset) with local, region-specific sources where available (such as 3D building models).
The renewable energy potential estimation considered two main technologies: photovoltaic (PV) and wind. For PV, four deployment configurations were analysed: agri-PV, ground-mounted PV, and rooftop PV on both residential and non-residential buildings. For wind, onshore turbines were assessed across all pilot regions.

Repository contents

The repository is organized by pilot region. For each region, the repository provides the following specific files:
  • pv_potentials.txt: Region-specific documentation detailing the pv energy potentials per deployment configurations.
  • wind_potentials.txt: Region-specific documentation detailing the wind energy potentials per deployment configurations.
  • ren_ene_potentials.gpkg: Complete dataset containing pv and wind energy potentials at municipal level.
 

References

List of all data used.
 
Globally available data:

Locally available data:
  • Germany (Oberland):
    • 3D Building Models (LoD2): Bayerische Vermessungsverwaltung. (2024). 3D-Gebäudemodelle (LoD2). https://geodaten.bayern.de/opengeodata/OpenDataDetail.html?pn=lod2
  • France (Auvergne-Rhône-Alpes):
    • BD-TOPO: IGN. (2024). BD TOPO. https://geoservices.ign.fr/bdtopo
  • Italy (Lombardia):
    • DBGT: Regione Lombardia. (2024). Database Geo-Topografico (DBGT). https://www.geoportale.regione.lombardia.it/specifiche-tecniche

Files

t2.2-ren-ene-potentials.zip

Files (8.1 MB)

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Additional details

Funding

European Commission
LIFE24-CET-PLANtoACT 101214506