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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 18a
SUMMARY:Model-based decision support system for EAF online monitoring and control
DESCRIPTION:The Electric Arc Furnace (EAF) for scrap-based steelmaking will play an important role in near future to realise the transition towards Green Steel production due to its more efficient use of resources, lower carbon emissions and inherent circularity compared to the iron ore-based steelmaking.
This work presents a practical approach for a Decision Support System for the EAF with real-time heat state monitoring and control setpoint optimization which has been developed within the EU funded project REVaMP and applied at the EAF of Sidenor in Basauri, Spain. The system consists of a dynamic process model based on energy and mass balances, including thermodynamic calculations for the most important metallurgical reactions like dephosphorisation and decarburisation, and a scrap characterization and scrap mix optimisation tool to estimate the scrap properties, which are critical for reliable process performance and accurate online process control. The underlying process models and control functions were validated on the basis of historical production and measurement data of a large number of heats produced at the Sidenor plant. Also, the applied model parameters were fitted using this data to further increase the prediction accuracy and to account for influences, e.g. during melting, that are otherwise difficult to model precisely. The model calculations are adapted in real-time to the performed measurements and analysis values to make best use of the information available during EAF heat production.
Particular attention is paid to the modelling of the dephosphorisation reaction and the end-point control of the phosphorus content, as this is a critical parameter for production of high-quality steel grades along the EAF process route. 
The developed tools for Decision Support are integrated within a web application to facilitate their utilization and to provide impactful support for the plant engineers and operators.

CLASS:PUBLIC
DTSTART:20230614T115000
DTEND:20230614T121000
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