DOAJ Open Access 2021

Mathematical modeling and optimization of semi-regenerative catalytic reforming of naphtha

Ivanchina Emilia Chernyakova Ekaterina Pchelintseva Inna Poluboyartsev Dmitry

Abstrak

Catalytic naphtha reforming is extensively applied in petroleum refineries and petrochemical industries to convert low-octane naphtha into high-octane gasoline. Besides, this process is an important source of hydrogen and aromatics obtained as side products. The bifunctional Pt-catalysts for reforming are deactivated by coke formation during an industrial operation. This results to a reduction in the yield and octane number. In this paper modeling and optimization of a semi-egenerative catalytic reforming of naphtha is carried out considering catalyst deactivation and a complex multicomponent composition of a hydrocarbon mixture. The mathematical model of semi-egenerative catalytic reforming considering coke formation process was proposed. The operating parameters (yield, octane number, activity) for different catalysts were predicted and optimized. It was found that a decrease in the pressure range from 1.5 to 1.2 MPa at the temperature 478–481 °C and feedstock space velocity equal to 1.4–1 h induces an increase in the yield for 1–2 wt.% due to an increase in the aromatization reactions rate and a decrease in the hydrocracking reactions rate depending on the feedstock composition and catalyst type. It is shown that the decrease in pressure is limited by the requirements for the catalyst stability due to the increase in the coke formation rate. The criterion of optimality is the yield, expressed in octanes per tons.

Penulis (4)

I

Ivanchina Emilia

C

Chernyakova Ekaterina

P

Pchelintseva Inna

P

Poluboyartsev Dmitry

Format Sitasi

Emilia, I., Ekaterina, C., Inna, P., Dmitry, P. (2021). Mathematical modeling and optimization of semi-regenerative catalytic reforming of naphtha. https://doi.org/10.2516/ogst/2021041

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Informasi Jurnal
Tahun Terbit
2021
Sumber Database
DOAJ
DOI
10.2516/ogst/2021041
Akses
Open Access ✓