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Model Predictive Control demonstration for an EAF (meltdown) process model:

Warning: The results may not fit to your specific real furnace without some parameter determination by inverse modelling. This is mainly a demonstration of the MPC approach, i.e. mission critical set values (arc power and DRI feeding) are determined by the model itself.

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Please select your parameters:

Property	Unit		Comment
Tapping Weight	tons	20 30 40 50 60 70 80 100 120 150	scrap + DRI
Peak Arc Power	MW	30   40   50   60   70   80   90   100	Applied until tapping temperature is reached
Initial scrap basket	tons	10 20 30 40 50 60	Mscrap
Tapping temperature	°C	1600  1700  1800  1900	Ttapping

Example of the Results:

80t melt in a 100 MW furnace (30t scrap + 50t DRI, tapping at 1800 C):

The initial scrap mass m_s is melted during the first 6 minutes. Thus the mean temperature of the solid material T_Solid increases, while the mean temperature of the liquid metal T_Melt decreases (possibly until T_Melt=T_liquidus). This melting process can be seen by the increasing liquid steel mass m_l and the decreasing solid steel mass m_s. As the model detects the end of the scrap melt down phase, DRI feeding is started. The total mass in the furnace m is thus increasing. The DRI feeding rate m_DRI is calculated by the model in order to avoid icebergs and to optmize tap-to-tap time for a given arc power PEL (100 MW).
As soon as the desired tapping mass of liquid steel is reached, the DRI feeding stops and the melt is heated to the desired tapping temperature.

These results are thus obtained by calculating set values for the arc power PEL and the DRI feeding rate m_DRI within the model:

Modelling assumptions: coming soon

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