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
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
收藏
页码:1763 / 1768
页数:6
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