SciTransfer
AEROSUB · Project

Automated Robotic Fleet for Offshore Wind Farm Inspection and Maintenance

energyPilotedTRL 6

Imagine a team of robot drones and underwater subs that work together like a coordinated swarm to check on wind turbines. Instead of sending divers and climbers into dangerous seas, these robots do the dirty work of cleaning and inspecting both above and below the water. It's like having a remote-controlled security and maintenance crew that never gets tired or puts lives at risk.

By the numbers
15M tonnes
reduction of eCO2 emissions
2,400€/MW/year
cost savings
2.5%
LCOE reduction
40%
increase in O&M operational efficiency
60%
reduction of associated downtime
90%
reduction of worker risk exposure
80%
reduction of human monitoring burden
The business problem

What needed solving

Offshore wind maintenance is expensive, dangerous for humans, and causes significant downtime. Current methods rely on manual inspections that increase the levelized cost of electricity.

The solution

What was built

A coordinated fleet of Uncrewed Fleet Carriers, surface vehicles (USV), underwater ROVs, and aerial drones (UAS/UAV) integrated with AI and Digital Twins.

Audience

Who needs this

Offshore wind farm operatorsMarine infrastructure maintenance companiesRenewable energy asset managersUnderwater robotics manufacturers
Business applications

Who can put this to work

Renewable Energy
enterprise
Target: Offshore Wind Farm Operator

If you are an operator dealing with high maintenance costs and dangerous manual inspections — this project developed a multi-domain robotic fleet that can lower the levelized cost of electricity (LCOE) by 2.5%. It reduces worker risk exposure by 90% and cuts downtime by 60%.

Maritime Robotics
mid-size
Target: Underwater Infrastructure Service Provider

If you are a service provider dealing with the inefficiency of manned ROV operations — this project developed an unmanned robotic solution for underwater intervention. This can increase operational efficiency by 40% and reduce the human monitoring burden by 80%.

Environmental Services
any
Target: Carbon Emission Management Firm

If you are a firm dealing with the high carbon footprint of vessel-based maintenance — this project developed an automated orchestration of drones and surface vehicles. This approach has the potential to reduce eCO2 emissions of operations by up to 15M tonnes.

Frequently asked

Quick answers

How much can this solution save in operational costs?

Based on available project data, the solution enables cost savings of 2,400€/MW/year.

Is this technology ready for industrial scale?

Yes, the project involves large scale pilots for monitoring, inspection, cleaning, and maintenance in real offshore wind farms.

What are the IP or licensing options for the AI and Digital Twin components?

Based on available project data, specific IP or licensing terms are not provided, but the project develops AI-based features for perception and Digital Twin solutions for data analysis.

How does this integrate with existing human workflows?

The system optimizes human-robot and robot-robot collaboration to reduce the human burden for monitoring by 80%.

What is the timeline for deployment?

The project period runs from 2024-12-01 to 2028-11-30.

Consortium

Who built it

The consortium is heavily industry-driven with 11 industrial partners (65% ratio), including 4 SMEs, which suggests a strong focus on commercial viability. With 17 partners across 6 countries (PT, ES, FR, IE, IT, UK), the project combines academic research from 3 universities and 3 research centers with practical industrial application.

How to reach the team

Contact INESC TEC in Portugal for technical partnership inquiries.

Next steps

Talk to the team behind this work.

Contact us to connect with the AEROSUB industrial consortium for pilot opportunities.