Debottlenecking High Temperature Metallurgical Plants Through Modeling and Simulation

Abstract

Debottlenecking of high temperature processes within an existing metallurgical plant can significantly increase the throughput to meet new production demands. Modeling and simulation can help to fulfil that aim through incremental changes and operational improvements, rather than the more expensive option of building new plants and facing new environmental and infrastructure challenges. This paper describes a methodology of how modeling tools can be used to simulate the processing steps, how to estimate their existing and ultimate capacities, and how to determine the minimum cost points for a plant capacity expansion. This technique is presented through a generic description that can be applied to different metallurgical processing studies. We start with heat-and-mass balances, draw a bottleneck diagram, brainstorm capacity increase options, and prepare a cost-capacity curve. Hatch has successfully applied this technique to a number of plant capacity studies, with great benefits to our industrial clients (Adham et al. in A Success Path from Process R&D to Commercial Plants, Montreal, Canada, [1]).