About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Circular Metallurgy: Design, Technology, Application
|
| Presentation Title |
Life Cycle Analysis-based Multi-Objective Optimization of H2-DRI charging in Scrap-Based EAF Steelmaking |
| Author(s) |
Jieun Ryu, Yeongrae Cho, Minho Kim, Il Sohn |
| On-Site Speaker (Planned) |
Jieun Ryu |
| Abstract Scope |
Scrap-based electric arc furnace (EAF) steelmaking is one pathway toward low-carbon circular metallurgy by integrating scrap reuse with electrified steel production using renewable energy sources. However, its application is limited by Cu accumulation, scrap quality variation, and scrap supply instability. Additional charging of hydrogen-based direct reduced iron (H2-DRI) can mitigate these limitations by diluting Cu; however, its effect depends on the input ratio and metallization degree and may increase upstream CO2 emissions and resource use. Therefore, life cycle assessment (LCA)-based optimization is needed to evaluate environmental, economic, and resource trade-offs under future transition scenarios. In this study, H2-DRI metallization degree, H2-DRI input ratio, scrap blend ratio, and green H2 share for DRI reduction were optimized under grade-specific Cu limits and slag constraints. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) was applied to derive Pareto-optimal solutions, while SHAP and Shapley value-based analyses identified key factors and quantified input-data uncertainty. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Sustainability, Modeling and Simulation, Iron and Steel |