dc.contributor.author | Pustějovská, Pavlína | |
dc.contributor.author | Bilík, Jiří | |
dc.contributor.author | Jursová, Simona | |
dc.contributor.author | Kardas, Edyta | |
dc.contributor.author | Konstanciak, Anna | |
dc.date.accessioned | 2023-11-22T10:56:04Z | |
dc.date.available | 2023-11-22T10:56:04Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Processes. 2023, vol. 11, issue 1, art. no. 79. | cs |
dc.identifier.issn | 2227-9717 | |
dc.identifier.uri | http://hdl.handle.net/10084/151771 | |
dc.description.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. | cs |
dc.language.iso | en | cs |
dc.publisher | MDPI | cs |
dc.relation.ispartofseries | Processes | cs |
dc.relation.uri | https://doi.org/10.3390/pr11010079 | cs |
dc.rights | © 2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution. | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | thermodynamic and kinetic models | cs |
dc.subject | blast furnace shaft | cs |
dc.title | Prediction of the consumption of raw materials and fuels for the blast furnace | cs |
dc.type | article | cs |
dc.identifier.doi | 10.3390/pr11010079 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 11 | cs |
dc.description.issue | 1 | cs |
dc.description.firstpage | art. no. 79 | cs |
dc.identifier.wos | 000927311600001 | |