Imagine a solar farm that cleans itself and mows its own grass using a fleet of smart robots. These robots act like a digital health check for the panels, spotting problems before they cause power loss. It's like having a 24/7 automated caretaker that keeps the energy flowing without putting people in harm's way.
Solar park maintenance is currently costly, hazardous, and time-consuming. These inefficiencies increase the Levelized Cost of Energy (LCoE) and put human workers at risk in dangerous environments.
A multi-robot platform and AI recommendation system for autonomous inspection, cleaning, and mowing of land, floating, and AgriPV solar parks.
If you are a solar park operator dealing with high maintenance costs and hazardous manual inspections — this project developed autonomous robots and AI that can boost the plant performance ratio by 10% and reduce worker risk exposure by 90%.
If you are an AgriPV farm owner dealing with the struggle of balancing crop growth and solar energy production — this project developed robotic solutions that reduce the human burden of monitoring crops by 90% and save up to 35% of water used in farming.
If you are a floating PV firm dealing with the difficulty of cleaning and inspecting panels on water — this project developed specialized robotics and a recommendation engine that can reduce greenhouse gas emissions by over 450 tons per year.
The project aims to lower operation and maintenance (O&M) costs by up to 5% through the use of autonomous robotics and AI-driven scheduling.
Yes, the project demonstrates solutions across three distinct large-scale scenarios: land-based, floating, and AgriPV solar parks.
Based on available project data, the project provides cascade funding for 9-13 robotics start-ups to develop and demonstrate solutions in test beds, suggesting a startup-led commercialization path.
The solutions connect to a standardized platform that integrates data from existing Supervisory Control And Data Acquisition (SCADA) systems to fuel a Digital Twin.
The project runs from October 1, 2023, to September 30, 2026, indicating that full demonstrations will be completed by late 2026.
The consortium is heavily industry-driven with 11 industrial partners (61% ratio), including 6 SMEs, which suggests a strong focus on commercial viability. With 18 partners across 7 European countries, the project has a broad market reach and a high capacity for real-world testing across different regulatory environments.
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