Mapping Europe’s rooftop photovoltaic potential with a building-level database

Abstract Individual building-level approaches are needed to understand the full potential of rooftop photovoltaics (PV) at national and regional scale. Here we use the European Digital Building Stock Model R2025, an open-access building-level database, to assess rooftop solar potential for each of the 271 million buildings in the European Union. The results show that potential capacity could reach 2.3 TWp (1,822 GWp residential, 519 GWp non-residential), with an annual output of 2,750 TWh based on current PV technology. This corresponds to approximately 40% of electricity demand in a 100% renewable scenario for 2050. Already by 2030, over a half of buildings with floor area larger than 2,000 m 2 could generate most of remaining capacity for the 2030 target with 355 GWp. Across member states, non-residential rooftops could cover 50% or more of their PV targets, with several exceeding 95%. The open-access building-level database offers practical tools to support better decisions, accelerate renewable energy adoption and promote a more decentralized energy system. It is also an enabler for planners and researchers to further explore energy scenarios with high renewable shares.

Authors

Institutions

Publication Details

Journal
Nature Energy
Published
2026-01-12
DOI
https://doi.org/10.1038/s41560-025-01947-x
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
52.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping Europe’s rooftop photovoltaic potential with a building-level database

Christian Thiel, Georgia Kakoulaki, Szabo Sandor, Ana Gracia-Amillo et al.
1 citations
Nature Energy
Solar Radiation and Photovoltaics
52.10
article

Mapping Europe’s rooftop photovoltaic potential with a building-level database

Christian Thiel, Georgia Kakoulaki, Szabo Sandor, Ana Gracia-Amillo, Arnulf Jäger-Waldau, Ana M. Martínez, Robert Kenny, Taylor Nigel
article en
1 citations

Abstract

Abstract Individual building-level approaches are needed to understand the full potential of rooftop photovoltaics (PV) at national and regional scale. Here we use the European Digital Building Stock Model R2025, an open-access building-level database, to assess rooftop solar potential for each of the 271 million buildings in the European Union. The results show that potential capacity could reach 2.3 TWp (1,822 GWp residential, 519 GWp non-residential), with an annual output of 2,750 TWh based on current PV technology. This corresponds to approximately 40% of electricity demand in a 100% renewable scenario for 2050. Already by 2030, over a half of buildings with floor area larger than 2,000 m 2 could generate most of remaining capacity for the 2030 target with 355 GWp. Across member states, non-residential rooftops could cover 50% or more of their PV targets, with several exceeding 95%. The open-access building-level database offers practical tools to support better decisions, accelerate renewable energy adoption and promote a more decentralized energy system. It is also an enabler for planners and researchers to further explore energy scenarios with high renewable shares.

Nature EnergyVol. 11(2)
Joint Research Centre (IT), National Renewable Energy Centre (ES)
Affordable and clean energy
Openalex Percentile: Top 1%
Solar Radiation and Photovoltaics
52.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Mapping Europe’s rooftop photovoltaic potential with a building-level database — Christian Thiel, Georgia Kakoulaki, et al. · Nature Energy (2026) | TGRS Research Map | TGRS