Linkedin Instagram
Get in touch

Research and Development Project

CIRCMAN5.0 – Advancing Sustainable and Circular PV Manufacturing

Project details

CIRCMAN 5.0 is making substantial strides in the field of sustainable and circular photovoltaic (PV) product manufacturing. This innovative ecosystem of advanced technologies is designed to enhance the modeling and simulation pipeline, ultimately assessing the environmental sustainability of PV products.

Go to project website
Get in touch

The project introduces a groundbreaking Human-Centered AI-aided Digital Framework for the PV manufacturing industry, empowering stakeholders to:

  1. Increase product circularity
  2. Reduce environmental impact
  3. Minimize product and manufacturing waste
  4. Optimize manufacturing processes with a focus on circularity

CIRCMAN 5.0’s impact is measured through specific KPIs focused on reducing waste, improving transparency, validating materials, conserving energy, and enhancing productivity.

For more information see the project website:

https://circman5.eu/

CIRCMAN 5.0 integrates several key components to achieve these objectives:

  1. AI-driven modeling and simulation: This technique applies parametric approaches to product design, incorporating circular-by-design principles within an eco-design framework for sustainable development, while ensuring compliance with EU regulations.
  2. ML-assisted algorithms: These dynamic production reconfiguration algorithms optimize manufacturing processes in real time, making the system adaptable and efficient.
  3. Cognitive Digital Twin simulation environment: By adopting standardized AAS-based protocols and integrating cybersecurity-as-a-service, this system enables efficient resource and waste management, allowing for comprehensive, adaptable manufacturing strategies.
  4. Circularity and Life Cycle Assessment (LCA) Framework: This framework supports the evaluation of sustainability for both products and processes. It uses forecasting models, AI-based routing optimization techniques, and methods to assess embodied energy and carbon emissions, providing vital feedback.
  5. Human-in-the-Loop (HITL) Recommendation Engine: Integrated with a Human-Centered Decision Support System, this engine provides actionable insights on maximizing raw material utilization, optimizing material reuse and recycling at the end of life (EoL), and extending product lifespan.
  6. Digital Product/Material Passport (DPP): Enabled by Distributed Ledger Technologies (DLT), the DPP enables circular matching of product/material supply and demand through the Collaborative Space. It also facilitates material tracing and information sharing across the entire value chain.

R&D Projects

R&D Project PAIRS

R&D Project SPELL

R&D Project Heraklion

R&D Project WiReSt

R&D Project CoyPu

R&D Project ScaleTrust

© 2025 Green Deal Dataspace. 

All rights reserved