Process Line Debottlenecking and Process Improvement Through an Empirical Data-driven Model

This paper will discuss the development and troubleshooting capability of a process debottlenecking model for steel production facilities. This model utilizes Excel-based modules, incorporating production data, equipment designs and capabilities, and maintenance/delay information to build a customized replica of a process unit. Once the model is validated, different scenarios are tested to identify opportunities for equipment modifications or operational changes that can debottleneck the process unit, increase production capacity and help reduce carbon emissions. This paper will detail use cases as well as opportunities for applying the model results.

Authors:

Britta Beleski | Hatch
 

Hannah McGinley | Hatch
 

K. VanNess | Hatch
 

Session Chairs:

Joe McDermid | McMaster University
 

Manuel Leonhard | John Cockerill Industry North America
 

Dan Drane | Steel Dynamics - The Techs Div.