BDPV (Base de Données Photovoltaïque) is a French database and platform dedicated to the collection, analysis, and sharing of data related to photovoltaic (PV) solar installations in France. BDPV provides insights into the performance of solar PV systems, helping users track and optimize their solar energy production.
The key Features of BDPV include:
- Performance monitoring: BDPV allows solar PV owners to monitor the performance of their installations by comparing their production data against similar systems in the region. This helps identify underperforming systems and optimize energy yields.
- Data sharing: Users can voluntarily share their production data to contribute to a larger dataset that helps track the overall performance of solar PV systems in France.
- Benchmarking: BDPV provides benchmarking tools, enabling users to compare their system’s performance against the average performance of similar systems, considering factors such as location, size, and technology.
- Transparency and advocacy: By aggregating data from thousands of installations, BDPV helps promote transparency in the solar market and supports advocacy for renewable energy by providing reliable data on solar PV performance.
- Educational resource: The platform also serves as an educational resource for individuals and companies interested in solar energy, offering insights into system performance, financial returns, and the impact of solar PV on reducing carbon emissions.
- Community engagement: BDPV fosters a community of solar enthusiasts, professionals, and researchers who share information, tips, and experiences to improve the performance and adoption of solar PV in France.
BDPV plays a crucial role in the solar PV landscape in France, promoting the use of data to improve system performance, increase transparency, and drive the adoption of solar energy across the country.
The collaboration between LuciSun and BPDV, together with the French TSO RTE, led to the publication of a scientific article.
The scientific article “A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata” showcases a remarkable collaboration between several prominent institutions.
The article presents a detailed dataset that includes aerial images, segmentation masks, and metadata for over 18,000 solar photovoltaic installations. Created through a large-scale crowdsourcing effort, this dataset is designed to aid in the accurate mapping of PV installations, crucial for energy planning and grid management. The collaboration leveraged diverse expertise in data science, energy systems, and machine learning, resulting in a robust and comprehensive resource.
The metadata are available at https://zenodo.org/records/7358126 and are embedded in the resource mapping put in place on COPLASIMON and as resource in the CKAN platform.
Authors and affiliations of the article
| Name | Affiliation |
| Gabriel Kasmi | Mines Paris – PSL University, Centre Observation, Impacts, Energy (O.I.E.), 06904, Sophia Antipolis, France; RTE France, 7C place du Dôme, 92073, Paris La Défense, France |
| Yves-Marie Saint-Drenan | Mines Paris – PSL University, Centre Observation, Impacts, Energy (O.I.E.), 06904, Sophia Antipolis, France |
| David Trebosc | BDPV, 1 Rue du Capitaine Fracasse, 31320, Castanet Tolosan, France |
| Raphaël Jolivet | Mines Paris – PSL University, Centre Observation, Impacts, Energy (O.I.E.), 06904, Sophia Antipolis, France; |
| Jonathan Leloux | LuciSun, Rue Saint-Jean, 29, Sart-Dames-Avelines, Villers-la-Ville, Belgium |
| Babacar Sarr | LuciSun, Rue Saint-Jean, 29, Sart-Dames-Avelines, Villers-la-Ville, Belgium |
| Laurent Dubus | RTE France, 7C place du Dôme, 92073, Paris La Défense, France |
For more details, the full article is available at https://www.nature.com/articles/s41597-023-01951-4 .
