Application of a Fluidized Bed Reactor in the MTO (Methanol to Olefin) Process: Preparation of Catalyst and Presentation of a Kinetic Model

2011 ◽  
Vol 29 (15) ◽  
pp. 1578-1589 ◽  
Author(s):  
N. Fatourehchi ◽  
M. Sohrabi ◽  
S. J. Royaee ◽  
S. M. Mirarefin
2012 ◽  
Vol 586 ◽  
pp. 274-281
Author(s):  
Mohammad Kazemeini ◽  
Reza Maleki ◽  
Moslem Fattahi

The FT reaction involves the conversion of syngas which is derived from natural gas or coal to different kinds of products according to the operating conditions and the type of the catalyst. In other words, it is a practical way to convert solid fuel (coal) and natural gas to various hydrocarbons (C1-C60) and oxygenates such as alkanes, alkenes etc. The main products of the reaction are naphtha and gasoline. This paper deals with developing a proper product distribution model for FT process using the appropriate kinetic model, optimizing the respective rate constants while applying them in product distribution equations. The results revealed only 8.09% deviations from the olefin experimental data and 10.27% deviations from the paraffin experimental data being acceptable when compared with previous open literature data.


2021 ◽  
Author(s):  
Neda Felorzabihi

In the present study, a new dynamic fluidized bed reactor (FBR) model is developed to account for the effect of bubble growth in the bed height on the dynamic behaviour of the reactor and the molecular properties of the polymer product. The model takes into account the existence of solid catalyst in both phases and consequently, the occurrence of polymerization reaction in both bubble and emulsion phases. A dynamic two-phase model is employed for predicting the key hydrodynamic parameters of the bed. A comprehensive kinetic model for ethylene polymerization in the presence of multiple-site Ziegler-Natta catalyst is considered to describe the number and molecular weight averages and molecular weight distribution of polymer in the FBR. The hydrodynamic model and the kinetic model have been coupled and solved simultaneously to simulate the performance of the fluidized bed reactor. The study incorporates the effects of the most important reactor parameters such as superficial gas velocity, mean particle size, inlet gas temperature, bubble size, recycle stream and chain transfer agent on the steady-state behaviour of the FBR. The proposed dynamic model is capable of predicting both the performance of the reactor and the polymer physiochemical properties.


2017 ◽  
Vol 31 (2) ◽  
pp. 1702-1711 ◽  
Author(s):  
Bijan Hejazi ◽  
John R. Grace ◽  
Xiaotao Bi ◽  
Andrés Mahecha-Botero

2012 ◽  
Vol 26 (7) ◽  
pp. 4177-4188 ◽  
Author(s):  
Hong-liang Wang ◽  
Gang Wang ◽  
Dong-chao Zhang ◽  
Chun-ming Xu ◽  
Jin-sen Gao

2021 ◽  
Author(s):  
Neda Felorzabihi

In the present study, a new dynamic fluidized bed reactor (FBR) model is developed to account for the effect of bubble growth in the bed height on the dynamic behaviour of the reactor and the molecular properties of the polymer product. The model takes into account the existence of solid catalyst in both phases and consequently, the occurrence of polymerization reaction in both bubble and emulsion phases. A dynamic two-phase model is employed for predicting the key hydrodynamic parameters of the bed. A comprehensive kinetic model for ethylene polymerization in the presence of multiple-site Ziegler-Natta catalyst is considered to describe the number and molecular weight averages and molecular weight distribution of polymer in the FBR. The hydrodynamic model and the kinetic model have been coupled and solved simultaneously to simulate the performance of the fluidized bed reactor. The study incorporates the effects of the most important reactor parameters such as superficial gas velocity, mean particle size, inlet gas temperature, bubble size, recycle stream and chain transfer agent on the steady-state behaviour of the FBR. The proposed dynamic model is capable of predicting both the performance of the reactor and the polymer physiochemical properties.


2011 ◽  
Vol 50 (22) ◽  
pp. 12501-12511 ◽  
Author(s):  
Hong-liang Wang ◽  
Gang Wang ◽  
Bao-jian Shen ◽  
Chun-ming, Xu ◽  
Jin-sen Gao

Energy ◽  
2021 ◽  
pp. 122974
Author(s):  
Zhanghao Wan ◽  
Shiliang Yang ◽  
Jianhang Hu ◽  
Guirong Bao ◽  
Hua Wang

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