Use Cases

SUNAGE seeks to optimize its production processes for PV solar panels by incorporating sustainable materials and extending its circular approach. The company’s objectives are to: (1) identify alternative materials during the design phase of its products, while assessing necessary changes in production processes, (2) enhance the circularity of its manufacturing, and (3) ensure compliance with the Environmental Product Declaration (EPD), which will be stored in the Digital Product Passports (DPP) of its products.

This use case will employ AI-driven parametric techniques for eco-design, offering alternative designs and solutions that reduce the environmental footprint of SUNAGE’s PV modules throughout their lifecycle. To address supply chain delays, the CIRCMAN5.0 Collaborative Space will recommend suppliers with better availability, proximity, and stock to meet the company’s needs efficiently.

Additionally, machine learning-assisted production planning and a Cognitive Digital Twin simulated environment will integrate with SUNAGE’s monitoring systems to provide instructions that minimize energy consumption, CO2 emissions, and resource usage across the manufacturing stages. These energy-related metrics will be evaluated through the Circular and LCA Framework, drawing on LCA-based methods for embodied energy and carbon footprint analysis, and AI-driven distribution optimization algorithms.

All these improvements will be tracked and ensured through the Digital Product Passports, accompanying SUNAGE’s PV modules throughout the supply chain, ensuring sustainability and compliance with circular economy principles.