Fischer–Tropsch Synthesis over Cobalt/CNTs Catalysts: Functionalized Support and Catalyst Preparation Effect on Activity and Kinetic Parameters

2018 ◽  
Vol 57 (41) ◽  
pp. 13639-13649 ◽  
Author(s):  
Ali Nakhaei Pour ◽  
Mohammad Reza Housaindokht ◽  
Seyed Mehdi Kamali Shahri
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christel Olivier Lenge Mbuya ◽  
Linda L. Jewell ◽  
Tau S. Ntelane ◽  
Mike S. Scurrell

Abstract The work that has been carried out on microwave irradiation applied in catalyst preparation for drying, calcination or postsynthesis methods, and as a heating source for the Fischer–Tropsch reaction has been reviewed. It has been found that microwave irradiation can, in some cases, greatly enhance the performance of heterogeneous catalyst systems for Fischer–Tropsch synthesis. We have also summarized the advantages and drawbacks of using microwave irradiation in Fischer–Tropsch catalyst preparation and postsynthesis, and identified opportunities for future investigation.


2014 ◽  
Vol 9 (2) ◽  
pp. 97-103 ◽  
Author(s):  
Fabiano A. N. Fernandes ◽  
Francisco E. Linhares-Junior ◽  
Samuel J. M. Cartaxo

Abstract The kinetic mechanism of the Fischer–Tropsch synthesis (FTS) is complex resembling a polymerization reaction. The kinetic rate constants for initiation, propagation and termination steps and the constants for the equilibrium reactions for methylene formation (in situ monomer) need to be estimated. A mathematical model for the FTS allows for simulating several operating conditions and determining the best operating conditions to produce a specific product distribution, so the kinetic parameters must be statistically valid. This work used neural networks (NNs) to estimate the FTS kinetic parameters, instead of using methods based on least squared error. The results show that NNs with three hidden layers were able to output good estimates of the kinetic parameters with less than 5% of deviation.


2010 ◽  
Vol 31 (8) ◽  
pp. 919-927 ◽  
Author(s):  
Yuhan SUN ◽  
Jiangang CHEN ◽  
Jungang WANG ◽  
Litao JIA ◽  
Bo HOU ◽  
...  

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