Development of the Mathematical Model of Diesel Fuel Catalytic Dewaxing Process Taking into Account Factors of Nonstationarity

Abstract

The paper describes the results of mathematical modelling of diesel fuel catalytic dewaxing process, performed taking into account the factors of process nonstationarity driven by changes in process technological parameters, feedstock composition and catalyst deactivation. The error of hydrocarbon contents calculation via the use of the developed model does not exceed 1.6 wt.%. This makes it possible to apply the model for solution to optimization and forecasting problems occurred in catalytic systems under industrial conditions. It was shown through the model calculation that temperature in the dewaxing reactor without catalyst deactivation is lower by 19 °C than actual and catalyst deactivation degree accounts for 32 %.

Original language	English
Article number	01023
Journal	MATEC Web of Conferences
Volume	85
DOIs	https://doi.org/10.1051/matecconf/20168501023
Publication status	Published - 17 Nov 2016
Event	Chemistry and Chemical Technology in XXI Century, CCT 2016 - Tomsk, Russian Federation Duration: 17 May 2016 → 20 May 2016

ASJC Scopus subject areas

Chemistry(all)
Engineering(all)
Materials Science(all)

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title = "Development of the Mathematical Model of Diesel Fuel Catalytic Dewaxing Process Taking into Account Factors of Nonstationarity",

abstract = "The paper describes the results of mathematical modelling of diesel fuel catalytic dewaxing process, performed taking into account the factors of process nonstationarity driven by changes in process technological parameters, feedstock composition and catalyst deactivation. The error of hydrocarbon contents calculation via the use of the developed model does not exceed 1.6 wt.%. This makes it possible to apply the model for solution to optimization and forecasting problems occurred in catalytic systems under industrial conditions. It was shown through the model calculation that temperature in the dewaxing reactor without catalyst deactivation is lower by 19 °C than actual and catalyst deactivation degree accounts for 32 %.",

author = "Evgeniya Frantsina and Nataliya Belinskaya and Natalya Popova",

year = "2016",

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doi = "10.1051/matecconf/20168501023",

language = "English",

volume = "85",

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note = "Chemistry and Chemical Technology in XXI Century, CCT 2016 ; Conference date: 17-05-2016 Through 20-05-2016",

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T1 - Development of the Mathematical Model of Diesel Fuel Catalytic Dewaxing Process Taking into Account Factors of Nonstationarity

AU - Frantsina, Evgeniya

AU - Belinskaya, Nataliya

AU - Popova, Natalya

PY - 2016/11/17

Y1 - 2016/11/17

N2 - The paper describes the results of mathematical modelling of diesel fuel catalytic dewaxing process, performed taking into account the factors of process nonstationarity driven by changes in process technological parameters, feedstock composition and catalyst deactivation. The error of hydrocarbon contents calculation via the use of the developed model does not exceed 1.6 wt.%. This makes it possible to apply the model for solution to optimization and forecasting problems occurred in catalytic systems under industrial conditions. It was shown through the model calculation that temperature in the dewaxing reactor without catalyst deactivation is lower by 19 °C than actual and catalyst deactivation degree accounts for 32 %.

AB - The paper describes the results of mathematical modelling of diesel fuel catalytic dewaxing process, performed taking into account the factors of process nonstationarity driven by changes in process technological parameters, feedstock composition and catalyst deactivation. The error of hydrocarbon contents calculation via the use of the developed model does not exceed 1.6 wt.%. This makes it possible to apply the model for solution to optimization and forecasting problems occurred in catalytic systems under industrial conditions. It was shown through the model calculation that temperature in the dewaxing reactor without catalyst deactivation is lower by 19 °C than actual and catalyst deactivation degree accounts for 32 %.

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