Real-Time Hot Metal Rate Optimization in Steel Mills Through Innovative Digital Twin Technology

This paper introduces an innovative approach using digital twin technology to optimize real-time hot metal rate (HMR) in steel mills. By creating an accurate digital twin model reflecting dynamic steelmaking operations, continuous monitoring identifies bottlenecks and optimization opportunities. Strategic short-term decisions on HMR adjustments ensure efficiency, reduced wastage and improved sustainability. This implementation propels steel mills toward greater competitiveness and resilience, enabling data-driven decisions for continuous optimization.

Pedro Campos | ENACOM
 

Fabricio Schiavon Kolberg | ENACOM
 

Thales Pinto | ENACOM
 

Matheus Mendonça | ENACOM
 

Gustavo Silva | ENACOM
 

Douglas Vieira | ENACOM
 

Geraldo Duarte | Gerdau
 

Fabiano Lima | Gerdau
 

Bruno Alvares | Gerdau
 

Bruno Breder | Gerdau