Incorporation of Matte-Slag Thermochemistry into Sulphide Smelter Discrete Event Simulation

"Discrete event simulation (DES) is a suitable framework to evaluate and optimize the dynamics of sulphide smelters. In particular, iron-nickel-copper-cobalt sulphides undergo continual oxidation within a roasting or smelting operation, followed by batch oxidation within the converting operation, thus producing iron-free Bessemer matte (or blister copper, in the case of copper smelters); this semi-finished product undergoes further processing to produce nickel, copper and cobalt products, and to recover precious metals. The juncture between continuous smelting and batch converting is often an appropriate focus for the earliest phases of DES development, since it is typically a major bottleneck within nickel and copper smelters; later phases may include increasing levels of detail for auxiliary unit operations, as well as plant logistics. Moreover, DES can support matte-slag chemistry, including Gibbs free energy balances to determine the iron speciation within the slag. DES is therefore capable of linking the fundamentals of oxidation reactions to the intricacies of plant dynamics.INTRODUCTION Discrete event simulation (DES) is gaining acceptance within the extractive metallurgy community, as a technique that quantifies the system-wide performance of metallurgical plants under conditions of uncertainty (Wheeler & McGinty, 2015). In particular, over 90% of smelters that process nickel-copper-cobalt sulphides and copper sulphides exhibit similar semi-continuous dynamics (Crundwell et al., 2011b; Schlesinger et al., 2011b), in which the converting aisle produces batches of material that are sent for further processing (Figure 1). Thus the tools and practices that are developed for a specific sulphide smelter are often relevant to numerous other smelters.The juncture between continuous smelting and batch converting has long been a focus for discrete event simulation (Welgama et al., 1996). Nonetheless, the broad acceptance of DES in nonferrous smelters has been hindered by interdisciplinary barriers that divide industrial and metallurgical engineers (Navarra et al., 2016; Noorossana et al., 2012); this divide has been less severe in steel plants (Hollocks, 2006). In recent years, DES has been used in copper smelters to analyze crane-and-ladle motions (Coursol et al., 2009a), reverts production and consumption (Noorossana et al., 2012), and innovative control systems (Herrera et al., 2016); additionally, DES models have accounted for shutdowns and random breakdowns to provide realistic assessments of copper smelter capacities, thus guiding equipment upgrades (Campbell et al., 2013; Coursol et al., 2009a). All of these studies feature a Peirce-Smith converting aisle similar to Figure 1 that, under normal operations, constrain the smelter throughput, and are thus a bottleneck (Campbell et al., 2013; Navarra et al., 2016)."