Fischer-Tropsch synthesis with Co/SiO2-Al2O3 catalyst and steady-state modeling using artificial neural networks

被引：16

作者：

Sharma, BK

Sharma, MP

Roy, SK

Kumar, S

Tendulkar, SB

Tambe, SS

Kulkarni, BD ^{[1
]}

机构：

[1] Cent Fuel Res Inst, Dhanbad 828108, Bihar, India

[2] Natl Chem Lab, Div Chem Engn, Poona 411008, Maharashtra, India

来源：

FUEL | 1998年 / 77卷 / 15期

关键词：

Fischer-Tropsch synthesis; steady-state modeling; artificial neural networks; Co/SiO2-Al2O3; catalyst;

D O I：

10.1016/S0016-2361(98)00110-0

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper reports the results of an experimental study involving Fischer-Tropsch synthesis on Co/SiO2-Al2O3 catalyst. The objective of the study was to find the reaction conditions for achieving an optimal selectivity with respect to C-5(+)-liquid hydrocarbons. The experimental data on reaction conversion and steady-state concentrations of different product species has been used to develop artificial neural-network-based models which are generic and can be used for predicting the reaction behaviour under different operating conditions. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：1763 / 1768

页数：6