THE INFLUENCE OF KINETIC PARAMETERS ON THE FISCHER-TROPSCH PRODUCT DISTRIBUTION

1989 ◽  
Vol 7 (8) ◽  
pp. 1139-1177 ◽  
Author(s):  
Jin Wang ◽  
B.W. Wojciechowski
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.


2014 ◽  
Vol 12 (1) ◽  
pp. 639-664 ◽  
Author(s):  
Samrand Saeidi ◽  
Masoud Talebi Amiri ◽  
Nor Aishah Saidina Amin ◽  
Mohammad Reza Rahimpour

Abstract High-temperature Fischer–Tropsch (HTFT) process aims to produce lighter cuts such as gasoline and diesel. For many years there have been studies and improvements on HTFT process to make the existing reactors more efficient. Recent studies proposed new configurations such as dual-type membrane reactor and coupling configurations reactor, which improved the performances of this process. This achievement persuades us to update the existing knowledge about the available reactors for HTFT process. In this article, features and performances overview of two classes of reactors are reviewed. The first class consists of the reactors which are based on older studies, and the second one includes recent studies which are called product intensifier reactors. Finally, it is shown that the product intensifier reactors have higher CO conversions and lower selectivity of undesired by-products which results in higher production yield of gasoline. Furthermore, the place of product intensifier reactor among common reactors with regard to the influence of the process parameters on the product distribution has been estimated.


2012 ◽  
Vol 142 (11) ◽  
pp. 1382-1387 ◽  
Author(s):  
Dragomir B. Bukur ◽  
Zhendong Pan ◽  
Wenping Ma ◽  
Gary Jacobs ◽  
Burtron H. Davis

2015 ◽  
Vol 10 (3) ◽  
pp. 147-159 ◽  
Author(s):  
Magne Hillestad

Abstract The main purpose of this paper is to provide a framework to model a consistent product distribution from the Fischer–Tropsch synthesis. We assume the products follow the Anderson–Schulz–Flory distribution and that there is no chain limitation. Deviation from the ASF distribution is taken into account. In order to implement such a model it is necessary to aggregate reactions into a finite number of reactions and to group components into lumps of components. Here, the component distribution within each lump is described by three parameters, and it is shown how these parameters are modeled. The method gives a considerable reduction of dimensionality and it is demonstrated that the component distribution within the lumps can be reconstructed with accuracy.


Fuel ◽  
2011 ◽  
Vol 90 (4) ◽  
pp. 1383-1394 ◽  
Author(s):  
Seung-Ho Kwack ◽  
Jong Wook Bae ◽  
Myung-June Park ◽  
Seung-Moon Kim ◽  
Kyoung-Su Ha ◽  
...  

2018 ◽  
Vol 567 ◽  
pp. 112-121 ◽  
Author(s):  
Irene Coronado ◽  
Martina Pitínová ◽  
Reetta Karinen ◽  
Matti Reinikainen ◽  
Riikka L. Puurunen ◽  
...  

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