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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 02
SUMMARY:Applying first principles-based approaches to the prediction of pelletizing and sintering equipment performance 
DESCRIPTION:This paper describes the use of first principles-based approaches to predict the performance of existing and developing assets in the ironmaking flowsheet such as, for example, indurating/pelletizing machines and sinter coolers where the interaction between the solids, gas, and heat flows occurs in a recycled, coupled manner.  Quantifying this interaction empirically or through field trials can be challenging.  Examples are provided where physics-based models have been developed to simulate the operation of an existing unit and have been validated against field data to ensure they are representative of real-world performance.   These approaches are useful for assessing how an existing and developing piece of equipment would respond to a proposed change in the process and operation.  These changes can include, for example:  re-configuring machine and energy flows for increased solids throughput and/or final pellet quality, reducing fuel consumption per ton of production to improve energy efficiency and reduce carbon-footprint, evaluating the impact of alternative feed type on machine performance, identifying and minimizing air ingress or air leakages, evaluating the feasibility of alternative energy sources such as resistive heating, plasma torches or biomass on performance, and improving overall process control strategies.   Outputs from such models include mass and energy balances, solid and gas temperature profiles along the bed height and machine length, extent of heterogeneous reactions in the solids (drying, magnetite oxidation, etc.), interzonal gas flow movements, gas pressure drop prediction and impact on mechanical equipment requirements, refractory & furnace temperatures, burner/combustion performance, air ingress/leakage rates, and other technical parameters associated with machine performance affected by the gas dynamics and solids energy flows. These models are particularly useful as a database generator to improve real-time process control of the equipment.   
CLASS:PUBLIC
DTSTART:20230615T090000
DTEND:20230615T092000
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