Thermodynamic-Based Process Simulation Coupled to Life Cycle Analysis: Exploring Pyrometallurgical Processes to Recycle End-of-Life Products
摘要
This study introduces two new performance indices, the Energy Processing Performance Index \((\Gamma )\) and the \({\text {CO}}_{2}\) Processing Performance Index \((\zeta )\) , as comprehensive tools for evaluating metallurgical processes. These indices integrate energy efficiencyEnergy efficiency, environmental impactEnvironmental impact, and technical feasibility, considering both process performance and product quality. Using Life Cycle Assessment (LCA)Life Cycle Assessment (LCA) and computational thermochemistryComputational Thermochemistry (CT) simulations via the FactFlowFactFlow interface, the recyclingRecycling of zinc-rich iron scrap in an Electric Arc FurnaceElectric arc furnace (EAF) was analyzed. Five scenarios varied key inputs such as scrap composition, inert gas flow, and furnace temperature to target a final zinc concentration below 100 ppm-Zn. Results show that continuous gas flow significantly improves zinc removal compared to batch processes, but achieving the target zinc concentration remains difficult for high-Zn scrap without further refining. The comparison of \(\Gamma \) and \(\zeta \) highlights the importance of balancing energy efficiencyEnergy efficiency, environmental impactEnvironmental impact, and product quality. These indices offer a valuable framework for optimizing new metallurgical processes, supporting a more holistic approach to process sustainabilitySustainability.