Imagine if solar panels could tell you exactly when they are dirty or broken before you even notice a drop in power. This system uses drones and smart sensors to act like a health monitor for solar farms, predicting weather and faults. It's like having a 24/7 digital doctor for energy plants to keep them running at peak performance.
Solar plant operators struggle with inefficient maintenance and unpredictable power production, which increases the cost of energy and reduces plant uptime.
An AI-powered PV asset management software integrated with an IoT platform, featuring drone-based inspection tools and energy trading algorithms.
If you are a utility-scale operator dealing with unpredictable power drops — this project developed an AI-based asset management software that targets a performance index of 90% and availability over 98%. This ensures your plant stays online and productive.
If you are an AgriPV developer dealing with the complexity of combining crops and panels — this project developed automated multi-spectral drone inspections and sensing tools. This allows you to maintain your installation without disrupting farming activities.
If you are a trading firm dealing with volatile energy prices and production gaps — this project developed an AI-based energy trading tool and reliable short and long-term forecasting. This helps in optimizing when to sell power for maximum profit.
The project aims to decrease the levelised cost of energy by 10% through improved maintenance and operational efficiency.
Yes, the developments are being demonstrated and assessed across 8 different use-cases, including utility-scale, rooftop, floating, and agriPV installations.
Based on available project data, the project focuses on commercialisation via a Stakeholder Forum and the public sharing of demonstration datasets to foster further development.
The tools feed into a central PV asset management software and an IoT platform, allowing operators to monitor and manage assets digitally.
The project runs from July 2024 to June 2028, providing a 48-month window for development and demonstration.
The consortium is heavily weighted toward commercial application, with a 53% industry ratio. Out of 15 partners, 8 are industrial entities, including 5 SMEs and 2 start-ups, ensuring that the developed tools are designed for market uptake rather than just academic research.
Contact Danmarks Tekniske Universitet (DTU) regarding the SOLARIS project coordination.
Contact us to connect with the SOLARIS consortium for early access to the asset management software.
