The transition towards a circular economy in photovoltaic manufacturing requires an integrated, technology-driven approach. CIRCMAN5.0 is designed as a comprehensive digital toolbox that leverages artificial intelligence, machine learning , cognitive digital twins, and standardized interfaces to support circularity and sustainability. At the core of this project is its technical architecture, which provides the foundation for scalable, interoperable, and user-centric solutions that drive efficient resource utilization, environmental impact assessment, and lifecycle management. The architecture consists of multiple layers, ensuring seamless data collection, processing, and decision-making across manufacturing stages.
The Data Collection Layer gathers real-time inputs from IoT-enabled sensors and manufacturing systems, feeding into the AI-Driven Computational Layer, which applies machine learning for predictive maintenance, defect detection, and production optimization. The Cognitive Digital Twin Layer enables real-time simulations and scenario-based forecasting, supporting informed decision-making on resource use and circular design strategies. To ensure interoperability, the API Layer connects with existing systems, allowing seamless integration. Users interact with the system through the User Interface Layer, which provides dashboards, visualizations, and predictive analytics tailored to different stakeholders.
A key component of CIRCMAN5.0 is the Digital Product Passport Platform, ensuring traceability and compliance with EU circular economy regulations. The architecture is designed for cloud-based and on-premise deployment, with robust cybersecurity and GDPR-compliant data protection measures. CIRCMAN5.0 stands as a pioneering digital toolbox that ensures efficiency, sustainability, and innovation in the next generation of PV manufacturing.