SUPERNOVA at Solar Quality Summit 2025 – Advancing AI and Data Sharing for Solar PV

At Solar Quality Summit Europe 2025, the SUPERNOVA project hosted two key workshops addressing some of the most pressing challenges in the solar sector: leveraging artificial intelligence (AI) for quality assurance and optimising data sharing among key stakeholders. These sessions provided valuable insights into how AI and data transparency can drive efficiency, boost performance, and unlock new growth opportunities in solar PV operations. 

The first workshop explored the transformative role of AI in managing and structuring large volumes of solar data. Industry professionals showcased how instruction tuning for large language models (LLMs) could improve predictive maintenance, optimise performance and automate critical processes.

Head of Innovation at 3E, Gofran Chowdhury, emphasised AI’s evolution from digital twins to digital triplets, augmenting the analytical capabilities of solar PV plants. He and other experts engaged in a discussion on the role of AI as a key driver of business efficiency and growth, the potential of generative AI to strengthen operation & maintenance (O&M) activities, and the introduction of “drone-in-a-box” systems, which automate inspections and enhances solar farm operations, including the monitoring of plant growth around the panels. Senior Market Advisor at PVcase, Miguel Herrero Cangas, reinforced this perspective, stating: “The SUPERNOVA project will focus on developing advanced AI tools to improve the efficiency of solar PV plants. AI drives business growth and increases power demand.” 

Data is a crucial asset in solar PV management, yet fragmented data sharing processes often create inefficiencies. The second SUPERNOVA workshop addressed this challenge by exploring methods to simplify data exchanges among O&M service providers, asset managers, and owners. 

Key discussions focused on how solar PV data spaces can foster greater transparency and collaboration. The significance of Data Sharing Agreements (DSAs) in facilitating seamless operations was emphasized, and the impact of data-driven decision-making on unlocking AI’s potential for predictive analytics and performance optimisation was thoroughly examined. Research and Development Machine Learning Engineer at CSEM, Jelena Simeunovic, highlighted the importance of secure and reliable data exchange, stating: “The SUPERNOVA project will focus on making data sharing beneficial for everyone involved, from providers to users, by creating a solar PV data space. We must ensure this data is secure and reliable so that we can improve our models for forecasting.” 

The workshops highlighted an important takeaway that while AI, drones, and digital twins have transformative potential, their effectiveness depends on the processes and expertise supporting them. Successfully implementing AI and data-sharing solutions requires careful integration, strong security measures, and collaboration throughout the solar value chain. 

The SUPERNOVA project will play a pivotal role in shaping the future of solar PV quality assurance. By fostering AI-driven innovation and seamless data sharing, the project is paving the way for a more efficient, transparent, and high-performing solar industry. 

As the solar sector continues to expand, initiatives like SUPERNOVA will be instrumental in ensuring that quality remains at the forefront of Europe’s clean energy transition.

The Solar Quality Summit Europe event brings together key players in the solar energy sector, including professionals from O&M, Asset Management, and Engineering, Procurement, and Construction (EPC). Co-organised by SolarPower Europe and Intersolar, the event focuses on enhancing the long-term quality and performance of Europe’s solar PV projects.