LAPSE:2020.1006
Published Article
LAPSE:2020.1006
Application of Combined Developments in Processes and Models to the Determination of Hot Metal Temperature in BOF Steelmaking
José Díaz, Francisco Javier Fernández
September 23, 2020
Nowadays, the steel industry is seeking to reduce its carbon footprint without affecting productivity or profitability. This challenge needs to be supported by continuous improvements in equipment, methods, sensors and models. The present work exposes how the combined development of processes and models (CDPM) has been applied to the improvement of hot metal temperature determination. The synergies that arise when both sides of this research are simultaneously approached are evidenced. A workflow that takes into account the CDPM approach is proposed. First, a thermal model of the process is developed, making it possible to identify that hot metal temperature is a key lever for carbon footprint reduction. Then, three main alternatives for hot metal temperature determination are compared: infrared thermometry, time-series forecasting and machine learning prediction. Despite considering only few process variables, machine learning techniques succeed in extracting relevant information from process databases. An accuracy close to infrared thermometry is obtained, with a much higher applicability. This research shows that process-model alternatives are complementary when judiciously nested in the process computer routines. Combining measurement and modelling techniques, 100% applicability is achieved with an error reduction of 7 °C.
Keywords
ARIMA, BOF converter, carbon footprint, data-driven modelling, infrared thermometry, law-driven modelling, MARS, steelmaking, temperature forecasting, time series forecasting
Suggested Citation
Díaz J, Fernández FJ. Application of Combined Developments in Processes and Models to the Determination of Hot Metal Temperature in BOF Steelmaking. (2020). LAPSE:2020.1006
Author Affiliations
Díaz J: Polytechnic School of Engineering, University of Oviedo, 33204 Gijón, Spain [ORCID]
Fernández FJ: Polytechnic School of Engineering, University of Oviedo, 33204 Gijón, Spain
Journal Name
Processes
Volume
8
Issue
6
Article Number
E732
Year
2020
Publication Date
2020-06-24
Published Version
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr8060732, Publication Type: Journal Article
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LAPSE:2020.1006
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doi:10.3390/pr8060732
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Sep 23, 2020
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CC BY 4.0
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Sep 23, 2020
 
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Sep 23, 2020
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Original Submitter
Calvin Tsay
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