Optimization of Higher Alkanes Dehydrogenation Process under Conditions of Decreased Hydrogen Containing Gas Flow with Using Mathematical Modeling; Procedia Engineering; Vol. 113 : Oil and Gas Engineering (OGE-2015), Omsk, 25-30 April 2015

Bibliografske podrobnosti
Parent link:Procedia Engineering
Vol. 113 : Oil and Gas Engineering (OGE-2015), Omsk, 25-30 April 2015.— 2015.— [P. 26–31]
Korporativna značnica: Национальный исследовательский Томский политехнический университет Институт природных ресурсов Кафедра химической технологии топлива и химической кибернетики
Drugi avtorji: Ivanchina E. D. Emilia Dmitrievna, Ivashkina E. N. Elena Nikolaevna, Glik P. A., Platonov V. V., Dolganov I. M. Igor Mikhailovich
Izvleček:Title screen
The article proposes the way of saving catalyst resource and increasing the efficiency of higher alkanes dehydrogenation process using mathematical model method. The study has indicated, that reducing hydrogen/feedstock molar ratio results in balance shear of alkanes dehydrogenation reaction to alkenes, which is proved by the results of pilot operating of the alkenes production unit at Ltd. KINEF and by the mathematical model calculations. The results of the prediction calculation of optimum process parameters at various hydrogen/feedstock molar ratios are presented.
Jezik:angleščina
Izdano: 2015
Teme:
Online dostop:http://earchive.tpu.ru/handle/11683/36156
http://dx.doi.org/10.1016/j.proeng.2015.07.282
Format: Elektronski Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650247
Opis
Izvleček:Title screen
The article proposes the way of saving catalyst resource and increasing the efficiency of higher alkanes dehydrogenation process using mathematical model method. The study has indicated, that reducing hydrogen/feedstock molar ratio results in balance shear of alkanes dehydrogenation reaction to alkenes, which is proved by the results of pilot operating of the alkenes production unit at Ltd. KINEF and by the mathematical model calculations. The results of the prediction calculation of optimum process parameters at various hydrogen/feedstock molar ratios are presented.
DOI:10.1016/j.proeng.2015.07.282