ISIJ International
Online ISSN : 1347-5460
Print ISSN : 0915-1559
Prediction of the Blast Furnace Process by a Mathematical Model
Xuegong BiKrister TorssellOlle Wijk
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1992 Volume 32 Issue 4 Pages 481-488

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Abstract

A prediction model has been developed based on the simulation model presented previously. These models are the two components of the KTH Blast Furnace Process Model. The concept of this prediction model is to use the same fundamental equations as in the simulation model and to use some output of a simulation of a blast furnace. Certain assumptions should be made for an individual change in operational conditions in order to build up the mass balance and heat balance submodels for the determination of the boundary conditions in a prediction. The ore to fuel ratio and the CO utilization are adjustable parameters in the model. The furnace internal state as well as furnace productivity and fuel consumption in the last iteration are considered to be the predicted results.
The prediction model has been designed for the following five cases: 1) increased blast temperature, 2) oxygen enrichment of the blast, 3) coal injection, 4) coal injection combined with oxygen enrichment and 5) changed coke quality. Moreover, this model can also be used for analysis of the thermal conditions in a blast furnace when an operational parameter, such as blast temperature, coke moisture and iron content in the ore, fluctuates.
The predicted operational indices were compared to the ones from industrial tests. The validity of the KTH model is indicated by this comparison.

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© The Iron and Steel Institute of Japan
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