LAPSE:2023.0114
Published Article
LAPSE:2023.0114
Prediction of the Consumption of Raw Materials and Fuels for the Blast Furnace
February 17, 2023
Abstract
This article was conducted within the framework of project reg. no. CZ.11.4.120/0.0/0.0/16_013/0002594, programme, Interreg V-A Czech Republic-Poland, Microprojects Fund 2014−2020 in the Euroregion Silesia. It is focused in the area of modelling technological processes and the presentation of the main principles of these models. The modelling of technological processes is important in terms of its applicability to process prediction in industry. A complex of analytical and predictive metallurgical models was developed within VSB-TUO. The original mathematical model of coke degradation in a blast furnace makes it possible to calculate the minimum consumption of coke from the dynamic balance for different values of the ratio of direct and indirect reduction. As part of the graphic output, it determines the practically and theoretically achievable minimum coke consumption points. The use of the model enables the determination of a real reserve in reducing the amount of coke.
This article was conducted within the framework of project reg. no. CZ.11.4.120/0.0/0.0/16_013/0002594, programme, Interreg V-A Czech Republic-Poland, Microprojects Fund 2014−2020 in the Euroregion Silesia. It is focused in the area of modelling technological processes and the presentation of the main principles of these models. The modelling of technological processes is important in terms of its applicability to process prediction in industry. A complex of analytical and predictive metallurgical models was developed within VSB-TUO. The original mathematical model of coke degradation in a blast furnace makes it possible to calculate the minimum consumption of coke from the dynamic balance for different values of the ratio of direct and indirect reduction. As part of the graphic output, it determines the practically and theoretically achievable minimum coke consumption points. The use of the model enables the determination of a real reserve in reducing the amount of coke.
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Keywords
blast furnace shaft, thermodynamic and kinetic models
Subject
Suggested Citation
Pustějovská P, Bilík J, Jursová S, Kardas E, Konstanciak A. Prediction of the Consumption of Raw Materials and Fuels for the Blast Furnace. (2023). LAPSE:2023.0114
Author Affiliations
Pustějovská P: Department of Metallurgical Technologies, Faculty of Materials Science and Technology, Centre for Energy and Environmental Technologies, VSB—Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava, Czech Republic [ORCID]
Bilík J: Department of Metallurgical Technologies, Faculty of Materials Science and Technology, Centre for Energy and Environmental Technologies, VSB—Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava, Czech Republic; Centre for Energy and En
Jursová S: Department of Metallurgical Technologies, Faculty of Materials Science and Technology, Centre for Energy and Environmental Technologies, VSB—Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava, Czech Republic; Centre for Energy and En
Kardas E: Faculty of Production Engineering and Materials Technology, Czestochowa University of Technology, J.H. Dąbrowskiego 69, 42-200 Czestochowa, Poland [ORCID]
Konstanciak A: Technical Department, Jacob of Paradies University, Chopina 52, 66-400 Gorzow Wielkopolski, Poland [ORCID]
Bilík J: Department of Metallurgical Technologies, Faculty of Materials Science and Technology, Centre for Energy and Environmental Technologies, VSB—Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava, Czech Republic; Centre for Energy and En
Jursová S: Department of Metallurgical Technologies, Faculty of Materials Science and Technology, Centre for Energy and Environmental Technologies, VSB—Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava, Czech Republic; Centre for Energy and En
Kardas E: Faculty of Production Engineering and Materials Technology, Czestochowa University of Technology, J.H. Dąbrowskiego 69, 42-200 Czestochowa, Poland [ORCID]
Konstanciak A: Technical Department, Jacob of Paradies University, Chopina 52, 66-400 Gorzow Wielkopolski, Poland [ORCID]
Journal Name
Processes
Volume
11
Issue
1
First Page
79
Year
2022
Publication Date
2022-12-28
ISSN
2227-9717
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PII: pr11010079, Publication Type: Journal Article
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LAPSE:2023.0114
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https://doi.org/10.3390/pr11010079
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Feb 17, 2023
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