Authors: P.Lavoie, P. Navarra, and R. Kuhne (IOC)
Abstract
Dynamic simulation (discrete event simulation) is the preferred methodology to evaluate the impact of dynamic aspects of processing plants on the overall plant capacity. This tool can be used to: 1) identify bottlenecks in the plant, 2) justify upgrade and expansion projects by evaluating their impact, or 3) optimize maintenance and operating practices without disrupting the operation. Iron Ore Company of Canada’s (IOC) pelletizing plant is a complex operation because of multiple products, varying equipment capacity and shifting bottlenecks.
Furthermore, with extensive capital requirements for projects and long leadtimes, a high level of confidence in project outcome is required. Therefore, a model of IOC’s pelletizing plant in Labrador City was constructed in 2007 by a joint IOC and Hatch team. The model includes both operational and metallurgical aspects in order to better capture the complexity of IOC operation. In this paper, the justification, boundaries, and functionality of the model are described. A comparison of simulation results to historical plant operation is given. It is observed that projects have interactions and that the benefits of combined projects are not equal to the combined benefits of the individual projects. Projects can have synergies that result in greater benefits when combined or can have overlapping benefits that result in lower benefits when combined. The power of the proposed modelling exercise lies in the ability to assess the impact of projects on overall performance.
