Dewaxing models digitalization in the mathematical model of winter diesel fuel production
The climatic features of Russia, as well as the need for the development of the Arctic and the Great Northern Sea Route, require an increase in the production of winter diesel fuel. The object of the study is obtaining winter diesel fuel. The subject of the study is digitalizing oil-refining process...
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EDP Sciences
2021-01-01
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doaj-1358027392c54a73bc54e07c6c3d0fe42021-05-28T14:35:22ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012581100410.1051/e3sconf/202125811004e3sconf_uesf2021_11004Dewaxing models digitalization in the mathematical model of winter diesel fuel productionNikonorov Valentin0Kutuzov Andrei1Nikonorov Viktor2Bagaeva Irina3Letta Anna4Peter the Great St. Petersburg Polytechnic UniversityPeter the Great St. Petersburg Polytechnic UniversityJSC LengiprostroyPeter the Great St. Petersburg Polytechnic UniversityUniversity of Luxembourg, Faculty of Law, Economics and FinanceThe climatic features of Russia, as well as the need for the development of the Arctic and the Great Northern Sea Route, require an increase in the production of winter diesel fuel. The object of the study is obtaining winter diesel fuel. The subject of the study is digitalizing oil-refining processes by building the mathematical model of winter diesel fuel production for the case of combining dewaxing regimes taking into account the logistical aspect. Main research methods: retrospective data analysis, synthesis, comparison, optimization theory methods. A literary review was carried out, the main methods for improving the low-temperature properties of winter diesel fuel were revealed. Study hypothesis: a combination of dewaxing regimes will increase the yield of denormalizate and, accordingly, winter diesel fuel. The authors for each mode of dewaxing compiled a mathematical model. Then, the authors constructed a mathematical model of obtaining winter diesel fuel for a combination of dewaxing regimes and taking into account the logistical aspect. The obtained mathematical model can be used to obtain the required amount of winter diesel fuel with compliance with quality requirements and taking into account the logistical aspect.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/34/e3sconf_uesf2021_11004.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nikonorov Valentin Kutuzov Andrei Nikonorov Viktor Bagaeva Irina Letta Anna |
spellingShingle |
Nikonorov Valentin Kutuzov Andrei Nikonorov Viktor Bagaeva Irina Letta Anna Dewaxing models digitalization in the mathematical model of winter diesel fuel production E3S Web of Conferences |
author_facet |
Nikonorov Valentin Kutuzov Andrei Nikonorov Viktor Bagaeva Irina Letta Anna |
author_sort |
Nikonorov Valentin |
title |
Dewaxing models digitalization in the mathematical model of winter diesel fuel production |
title_short |
Dewaxing models digitalization in the mathematical model of winter diesel fuel production |
title_full |
Dewaxing models digitalization in the mathematical model of winter diesel fuel production |
title_fullStr |
Dewaxing models digitalization in the mathematical model of winter diesel fuel production |
title_full_unstemmed |
Dewaxing models digitalization in the mathematical model of winter diesel fuel production |
title_sort |
dewaxing models digitalization in the mathematical model of winter diesel fuel production |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
The climatic features of Russia, as well as the need for the development of the Arctic and the Great Northern Sea Route, require an increase in the production of winter diesel fuel. The object of the study is obtaining winter diesel fuel. The subject of the study is digitalizing oil-refining processes by building the mathematical model of winter diesel fuel production for the case of combining dewaxing regimes taking into account the logistical aspect. Main research methods: retrospective data analysis, synthesis, comparison, optimization theory methods. A literary review was carried out, the main methods for improving the low-temperature properties of winter diesel fuel were revealed. Study hypothesis: a combination of dewaxing regimes will increase the yield of denormalizate and, accordingly, winter diesel fuel. The authors for each mode of dewaxing compiled a mathematical model. Then, the authors constructed a mathematical model of obtaining winter diesel fuel for a combination of dewaxing regimes and taking into account the logistical aspect. The obtained mathematical model can be used to obtain the required amount of winter diesel fuel with compliance with quality requirements and taking into account the logistical aspect. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/34/e3sconf_uesf2021_11004.pdf |
work_keys_str_mv |
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