Semantic Scholar Open Access 2021 18 sitasi

A predictive model of catalytic cracking: Feedstock-induced changes in gasoline and gas composition

G. Nazarova E. Ivashkina E. Ivanchina A. Oreshina E. Vymyatnin

Abstrak

Abstract One way to improve and predict unsteady processes of petroleum fuel production is to develop a mathematical model, that considers the feedstock composition. A study of various feedstock deep refining processes is particularly important. In this paper, we present the prediction of the catalytic cracking unit under feedstock base expansion by using oil fractions with a higher boiling point. The zeolite-containing catalyst with ZSM-5/Y ratio = 0.11 was used in this work. A new kinetic model involving the high molecular weight of C13–C40 hydrocarbons, gasoline groups, gas individual hydrocarbons and coke formation reactions was developed. The feed comprehensive studies, the development and application of a mathematical model allow assessing the feasibility of various feedstock types involvement. The impact of four feedstock types on the yield of catalytic cracking products, catalyst deactivation degree, gasoline and gas composition, and octane number were determined. Among the feedstocks under study are West Siberian oil vacuum gas oil, a mixture of Kazakhstan and West Siberian oil, a mixture of vacuum and atmospheric gas oil with residual feedstock (extract, slack waxes, petrolatum, deasphalting agent, raffinate), a mixture of vacuum distillate and residual feedstock (extracts, slack waxes).

Topik & Kata Kunci

Penulis (5)

G

G. Nazarova

E

E. Ivashkina

E

E. Ivanchina

A

A. Oreshina

E

E. Vymyatnin

Format Sitasi

Nazarova, G., Ivashkina, E., Ivanchina, E., Oreshina, A., Vymyatnin, E. (2021). A predictive model of catalytic cracking: Feedstock-induced changes in gasoline and gas composition. https://doi.org/10.1016/J.FUPROC.2020.106720

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
18×
Sumber Database
Semantic Scholar
DOI
10.1016/J.FUPROC.2020.106720
Akses
Open Access ✓