Dynamic Simulation for Data-Driven Logistical Control of Iron Ore Material Streams

The Canadian iron industry will benefit from increasingly streamlined data to support operational decisions, particularly as their steelmaking clientele is transitioning toward carbon-neutral steel production. The iron ore required for carbon-neutral steelmaking is especially high grade, in accordance with the DRI-EAF steelmaking route. Key operational decisions include the formation and depletion of stockpiles for different categories of ore, as the resulting ore blends are processed into a variable mix of iron ore products. Moreover, the rebalancing of conventional iron ore products versus DRI-EAF grade products is complex, requiring dynamic mineralogical and operational information. The proposed interdisciplinary project adjoins geological analysis and algorithm development within state-of-the-art operational simulations, which will support system-wide control of the iron ore value chain.

Faculty Supervisor:

Alessandro Navarra

Student:

Partner:

Stream Systems;Minerai de Fer Quebec

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McGill University

Program: