SciTransfer
R3-Mydas · Project

Digital and Robotic System for Remanufacturing Energy Equipment and Batteries

manufacturingTestedTRL 5

Imagine a high-tech clinic for broken industrial machinery where robots and AI diagnose exactly what is wrong. Instead of throwing away a massive wind turbine part or a car battery, this system cleans, fixes, and certifies them to be as good as new. It's like giving heavy machinery a second life with a digital birth certificate that proves its quality.

By the numbers
60%
reduction in programming time for remanufacturing
20%
increase in product quality
30%
rework reduction
50%
faster anomaly localization
99%
reusage rate
75%
lead time reduction
85%
raw material savings potential
The business problem

What needed solving

Companies struggle to trust the quality and origin of remanufactured energy parts. Current processes are often slow, lack traceability, and have high rework rates.

The solution

What was built

A digital marketplace with Digital Passports for parts, AI-driven quality control tools, and automated disassembly/reassembly mechatronics.

Audience

Who needs this

EV Battery recycling plantsWind turbine maintenance firmsOil & Gas equipment refurbishersCircular economy logistics providers
Business applications

Who can put this to work

Oil & Gas
enterprise
Target: Heavy equipment maintenance provider

If you are a maintenance provider dealing with worn-out crankshafts — this project developed a remanufacturing process that reduces programming time by up to 60% and increases product quality by up to 20%.

Automotive
mid-size
Target: EV Battery recycler

If you are a recycler dealing with faulty electric vehicle batteries — this project developed AI tools that localize anomalies 50% faster and improve the detection of tiny behavioral deviations by 30%.

Renewable Energy
enterprise
Target: Wind farm operator

If you are an operator dealing with damaged gearboxes — this project developed a system achieving up to 99% reuse rates and reducing lead times by 75%.

Frequently asked

Quick answers

How does this affect the cost of raw materials?

Based on available project data, the system for wind turbine gearboxes can achieve up to 85% raw material savings potential.

Is this technology ready for industrial scale?

The project validates its technology through three industrial demo cases focusing on crankshafts, EV batteries, and wind turbine gearboxes.

What are the IP and licensing options?

Based on available project data, specific licensing terms are not listed, but the project delivers a marketplace for remanufactured products and services.

How is the quality of remanufactured goods guaranteed?

The project implements a Digital Passport-like set of information for each product to ensure full traceability and reliability for the end-user.

How long does it take to implement these improvements?

Based on available project data, the project period runs from 2024-01-01 to 2026-12-31, with specific lead time reductions of 75% noted for Demo 3.

Consortium

Who built it

The consortium is heavily industry-driven with 10 industrial partners (62% ratio), including 5 SMEs, indicating a strong focus on commercial application rather than pure theory. With 16 partners across 10 European countries, the project has a broad geographic reach and a balanced mix of 2 universities and 3 research centers to support the technical development of the mechatronic and digital tools.

How to reach the team

Contact NETCOMPANY S.A. in Luxembourg

Next steps

Talk to the team behind this work.

Contact us to find partners for remanufacturing pilot implementations.

More in Manufacturing & Industry 4.0
See all Manufacturing & Industry 4.0 projects