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

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

Detalles Bibliográficos
Parent link:Fuel Processing Technology
Vol. 217.— 2021.— [106720, 14 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение химической инженерии
Outros autores: Nazarova G. Yu. Galina Yurievna, Ivashkina E. N. Elena Nikolaevna, Ivanchina E. D. Emilia Dmitrievna, Oreshina A. A. Aleksandra Aleksandrovna, Vymyatnin E. K. Evgeny Konstantinovich
Summary:Title screen
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 compre-hensive 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, petro-latum, deasphalting agent, raffinate), a mixture of vacuum distillate and residual feedstock (extracts, slack waxes).
Режим доступа: по договору с организацией-держателем ресурса
Publicado: 2021
Subjects:
труды учёных ТПУ
электронный ресурс
catalytic cracking
mathematical modeling
feedstock composition
product distribution
gasoline composition
coke
каталитический крекинг
математическое моделирование
состав
бензины
кокс
Acceso en liña:https://doi.org/10.1016/j.fuproc.2020.106720
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665144

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