EconPapers    
Economics at your fingertips  
 

Developing a Comprehensive Mathematical Model for Aluminium Production in a Soderberg Electrolyser

Yury Valeryevich Ilyushin () and Ekaterina Ivanovna Kapostey
Additional contact information
Yury Valeryevich Ilyushin: Dean of the Economics Department, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia
Ekaterina Ivanovna Kapostey: System Analysis and Control, Saint Petersburg Mining University, 199106 Saint Petersburg, Russia

Energies, 2023, vol. 16, issue 17, 1-28

Abstract: The technological process of aluminium electrolysis is a complex scientific and technical task. This is due to a large number of internal, external and resultant factors. The aim of this work is to analyse these factors, assess them and their influence on the technological process of electrolysis and develop a comprehensive and mathematical model of aluminium production in the Soderberg electrolyser. The work analyses the technological process of primary aluminium production on the basis of the Bayer method and then on the basis of the Hall–Eru method. The existing methods and technologies for computer modelling of the technological process are analysed. The modern methods of analysis for thermal and electromagnetic fields in electrolysers are considered. On the basis of an in-depth analysis, a number of factors influencing the process of primary aluminium production are identified. Using the methods of system analysis to analyse the identified factors, a ranked list of factors according to the degree of influence is obtained. Using the Pareto diagram, we obtain a list of factors with maximum impact. A conceptual model of the technological process is derived. Based on the obtained conceptual model, the mathematical model of the technological process is derived. The conducted research may be useful to specialists in the field of metallurgy for the analysis of the technological processes of primary aluminium production.

Keywords: mathematical model; Soderberg electrolyser; conceptual model of aluminium production; correlation analysis; expert judgement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/17/6313/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/17/6313/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:17:p:6313-:d:1229324

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6313-:d:1229324