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Article

Thermophysical Model for Online Optimization and Control of the Electric Arc Furnace

1
Cybernetica AS, Leirfossvegen 27, 7038 Trondheim, Norway
2
Research and Development, Outokumpu Stainless Oy, Terästie, 95490 Tornio, Finland
3
Process Metallurgy Research Unit, University of Oulu, 90014 Oulu, Finland
4
VDEh-Betriebsforschungsinstitut GmbH, Sohnstraße 69, 40237 Düsseldorf, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Geoffrey Brooks
Metals 2021, 11(10), 1587; https://doi.org/10.3390/met11101587
Received: 20 August 2021 / Revised: 15 September 2021 / Accepted: 27 September 2021 / Published: 5 October 2021
A dynamic, first-principles process model for a steelmaking electric arc furnace has been developed. The model is an integrated part of an application designed for optimization during operation of the furnace. Special care has been taken to ensure that the non-linear model is robust and accurate enough for real-time optimization. The model is formulated in terms of state variables and ordinary differential equations and is adapted to process data using recursive parameter estimation. Compared to other models available in the literature, a focus of this model is to integrate auxiliary process data in order to best predict energy efficiency and heat transfer limitations in the furnace. Model predictions are in reasonable agreement with steel temperature and weight measurements. Simulations indicate that industrial deployment of Model Predictive Control applications derived from this process model can result in electrical energy consumption savings of 1–2%. View Full-Text
Keywords: electric arc furnace; mathematical modeling; model predictive control electric arc furnace; mathematical modeling; model predictive control
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MDPI and ACS Style

Jawahery, S.; Visuri, V.-V.; Wasbø, S.O.; Hammervold, A.; Hyttinen, N.; Schlautmann, M. Thermophysical Model for Online Optimization and Control of the Electric Arc Furnace. Metals 2021, 11, 1587. https://doi.org/10.3390/met11101587

AMA Style

Jawahery S, Visuri V-V, Wasbø SO, Hammervold A, Hyttinen N, Schlautmann M. Thermophysical Model for Online Optimization and Control of the Electric Arc Furnace. Metals. 2021; 11(10):1587. https://doi.org/10.3390/met11101587

Chicago/Turabian Style

Jawahery, Sudi, Ville-Valtteri Visuri, Stein O. Wasbø, Andreas Hammervold, Niko Hyttinen, and Martin Schlautmann. 2021. "Thermophysical Model for Online Optimization and Control of the Electric Arc Furnace" Metals 11, no. 10: 1587. https://doi.org/10.3390/met11101587

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