Danish Drone Breakthrough: First Autonomous Inspection of Operational Offshore Wind Turbines Demonstrated
The Danish startup Quali Drone has in collaboration with the offshore wind developer and operator RWE and several other partners successfully inspected offshore wind turbine blade damages using autonomous drone technology, while the blades rotate. The solution significantly increases safety and reduces the cost and CO₂ emissions associated with blade inspections.

In order to examine the condition of wind turbine blades, inspections of blade damages are usually carried out when the turbine has been stopped. In the AQUADA-GO project, the partners have developed a drone technology for automated, contact-free, real-time blade damage detection, while the turbine is spinning. Inspections that are done without stopping the turbine’s normal operation can help save turbine downtime. Now, for the first time ever, the operational concept has been successfully demonstrated offshore.
“We have proven that it is possible to autonomously inspect offshore wind turbines with a drone of a certain size equipped with a visual camera, while the turbine is in operation. This is a major accomplishment for us. We have worked on everything from developing drone software and hardware to mission planning and online data infrastructure. Now, we have a commercially ready solution that can be tailored to wind farm operators’ needs and make inspections easier, faster and more cost-effective,” says Jesper Smit, CEO, Quali Drone.
Drone-based blade inspection delivers significant savings
The core idea of the project is to combine drone technology with thermography and computer vision, enabling detection of surface damage and potential subsurface fractures on operational offshore wind turbine blades. This saves wind farm operators considerable costs due to increased efficiency, while also reducing CO₂ emissions and improving inspection safety.
The new technology has been successfully demonstrated several times onshore by the project partners, which, in addition to Quali Drone and RWE, include Statkraft, TotalEnergies, DTU and Energy Cluster Denmark. Most recently, the solution has been demonstrated offshore with visual drone footage of blade damage on the surface at Rødsand 2 Offshore Wind Farm, operated by RWE since 2010 and located south off the coast of Lolland, Denmark.
“For the first time, we have successfully carried out a drone inspection of offshore wind turbines in operation. This is good news for the entire wind industry. Through the technology developed in AQUADA-GO, we can see the potential of monitoring blade conditions without stopping the offshore turbine. This could help to increase efficiency in our production of green electricity and to further improve safety for our employees. By using drones for autonomous inspections, we expect that downtimes and costs can be significantly reduced in the long run,” says Marcus Mejborn, General Manager of Rødsand 2 Offshore Wind Farm, RWE.
AQUADA-GO technology and AI model show great potential
The project is based on the AQUADA technology developed in DTU Wind Energy’s laboratory. DTU has developed an AI model that helps the drone automatically identify wind turbine blade abnormalities to indicate critical damage using AI algorithms and infrared imaging. The AI model, which is trained and improved with new inspection data each time the drone is deployed at wind farms, shows great potential.
“We have developed an AI model that uses deep learning algorithms and computer-vision technology based on thermomechanical models to assist the drone in detecting blade defects – both on the blade surface and below it. We have tested the technology multiple times at onshore wind farms operated by DTU, RWE and Statkraft, and each campaign has fed the AI model with new data that has made it better. We are very pleased with the results and see great potential for future implementation within the wind industry,” says Xiao CHEN, Associate Professor and Head of Section, DTU Wind and Energy Systems, and Project Technical Lead in AQUADA-GO.
Facts about the project
The AQUADA-GO innovation project runs from 2022 to March 2026 with a total budget of DKK 17,796,010 and is supported by EUDP – the Energy Technology Development and Demonstration Program. The project partners include Quali Drone, the Technical University of Denmark, RWE, Statkraft, TotalEnergies and Energy Cluster Denmark.
Read more about the project here: https://energycluster.dk/en/projects/aquada-go
Do you have questions? Contact Gitte Wad, Project Manager, Energy Cluster Denmark at gwa@energycluster.dk or +45 3152 7516.
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Michelle Amby DegnEnergy Cluster Denmark
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