SciTransfer
SOPHIA · Project

Digital Tracking and Robotic Recycling System for Solar Panel Circularity

environmentPrototypeTRL 4

Imagine if every solar panel had a digital birth certificate that told you exactly what it's made of and how healthy it is. Instead of guessing if a panel is trash, a smart robot uses AI to check its condition and take it apart carefully. This turns old panels into high-quality raw materials or refurbished products that can be sold again.

By the numbers
15
partners
8
countries involved
60%
industry ratio
The business problem

What needed solving

Solar panel waste is increasing, but lack of data on panel composition and health makes repair and high-quality recycling difficult and expensive.

The solution

What was built

An AI-driven robotic prototype for panel health evaluation and dismantling, a Digital Product Passport (DPP) system, and an eco-designed solar panel prototype.

Audience

Who needs this

Solar panel manufacturersE-waste recycling companiesSolar farm asset managersSecondary raw material traders
Business applications

Who can put this to work

Renewable Energy Services
enterprise
Target: Solar farm operator

If you are a solar farm operator dealing with aging infrastructure and waste management — this project developed a Digital Product Passport and AI robotic prototype that allows you to identify which panels to repair and which to recycle for maximum value.

Waste Management
mid-size
Target: E-waste recycling plant

If you are a recycling plant dealing with low-purity recovered materials — this project developed a shredding and sorting system based on DPP data that increases the quality of secondary raw materials.

Electronics Manufacturing
any
Target: PV panel manufacturer

If you are a manufacturer dealing with strict environmental regulations — this project developed an eco-designed prototype for easy dismantling that reduces the long-term impact of production.

Frequently asked

Quick answers

What is the cost of implementing these digital solutions?

Based on available project data, specific pricing or implementation costs are not provided.

Can this be scaled to an industrial level?

The project involves 9 industry partners and 6 SMEs, suggesting a focus on industrial applicability, though it currently aims to create prototypes.

Who owns the IP or licensing for the AI robotic prototype?

Based on available project data, the IP and licensing terms are not specified.

How does this help with EU waste regulations?

It implements Digital Product Passports (DPP) to ensure traceability and increase the reuse and repair rates of PV panels.

When will the solutions be available for market use?

The project period runs from 2025-06-01 to 2028-05-31, indicating the development phase is ongoing.

Consortium

Who built it

The consortium is heavily weighted toward commercial application, with a 60% industry ratio consisting of 9 industrial partners and 6 SMEs. This strong private-sector presence, spanning 8 countries, suggests the project is designed for market integration rather than pure academic research.

How to reach the team

Contact AIMPLAS in Spain for technical details on the robotic prototype.

Next steps

Talk to the team behind this work.

Contact us to connect with the 9 industry partners developing these PV recycling standards.

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