Kinetic modelling of methanol conversion to light olefins process over silicoaluminophosphate (SAPO-34) catalyst

Rostami, Reza Bagherian; Lemraski, Alireza Samadi; Ghavipour, Mohammad; Behbahani, Reza Mosayebi; Shahraki, Bahram Hashemi; Hamule, Tuba

doi:10.1016/j.cherd.2015.10.019

Cited by 21 publications

(15 citation statements)

References 35 publications

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“…The network of important processes in the MTO process and the rate equations of mentioned reactions are shown in Table .…”

Section: Methodsmentioning

confidence: 99%

“…Also, for the methanol dehydration reaction, the first equilibrium reaction in Table , K E , is the equilibrium constant and obtained as a function of temperature through the following equation :

\begin{matrix} true \\ right R prefixln ((), K_{E}) & = & left - \frac{6836}{T} + 3.32 prefixln (T) - 4.75 \times 10^{- 3} T \\ left - 1.1 \times 10^{- 7} T^{2} - 10.92 \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

“…The kinetic modeling is significant to identify the performance of the catalyst in the process and its effective factors and also to design reactors in the industrial scale in which these reactions are made. Since the MTO process includes a set of heterogeneous and parallel reactions, different kinetic models were used based on the type of catalyst, the set of used reactions, and the number of products considered in the literature .…”

Section: Introductionmentioning

confidence: 99%

“…Bagherian Rostami et al considered the effect of decreasing of the catalyst activity during the process and presented the kinetic model of the MTO process on the SAPO‐34 catalyst for 13 reactions. But in their study, the catalyst activity coefficient for different reactions was taken as a function of coke formed on the catalyst that can be measured only by removing the catalyst from the reactor.…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic Kinetic Model for Methanol to Light Olefins Reactions over a Nanohierarchical SAPO‐34 Catalyst: Catalyst Synthesis, Model Presentation, and Validation at the Bench Scale

Azarhoosh

Halladj

Askari

2018

Int J of Chemical Kinetics

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This study includes three main parts: synthesizing the hierarchical silicoaluminophosphate (SAPO‐34) catalyst, evaluating the performance of this modified catalyst in the methanol to light olefins (MTO) process, and providing a new dynamic kinetic model for the modified catalyst. At first, a carbon nanotube (CNT) was used as a mesopore template in the sonochemical synthesis of SAPO‐34 hierarchical catalyst. By comparing the performance of this hierarchical catalyst and the common catalyst in the MTO process, it is observed that better performance is obtained on a modified catalysts for a longer period of time. Then, nine process tests were performed in differential fixed bed reactors at different temperatures and space velocities to obtain the kinetic model of the desired catalyst in the MTO process. Finally, the dynamic kinetic model of the modified SAPO‐34 catalyst was considered for main reactions in the MTO process. In this model, the rate equations were assumed elementary and lumped, and the decreasing of the catalyst activity over time on stream was also considered. The reactions constant and catalyst activity coefficient for different reactions were obtained by simultaneous connection of the code related to the reactor model and the genetic algorithm and genetic programming codes. The results obtained from the kinetic model were consistent with the experimental results.

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“…The network of important processes in the MTO process and the rate equations of mentioned reactions are shown in Table .…”

Section: Methodsmentioning

confidence: 99%

\begin{matrix} true \\ right R prefixln ((), K_{E}) & = & left - \frac{6836}{T} + 3.32 prefixln (T) - 4.75 \times 10^{- 3} T \\ left - 1.1 \times 10^{- 7} T^{2} - 10.92 \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Dynamic Kinetic Model for Methanol to Light Olefins Reactions over a Nanohierarchical SAPO‐34 Catalyst: Catalyst Synthesis, Model Presentation, and Validation at the Bench Scale

Azarhoosh

Halladj

Askari

2018

Int J of Chemical Kinetics

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“…Various catalysts such as silicoaluminophosphate (SAPO)‐5, SAPO‐11, SAPO‐17, SAPO‐18, SAPO‐35, zeolite socony mobil (ZSM)‐5, and SAPO‐34 have been used in MTO process . SAPO‐34 and ZSM‐5 zeolites are the most promising catalysts for this process . The most important characteristics of these catalysts are shape selectivity, moderate acidity, and thermal/hydrothermal stability .…”

Section: Introductionmentioning

confidence: 99%

Enhanced stability and propylene yield in methanol to light olefins conversion over nanostructured SAPO‐34/ZSM‐5 composite with various SAPO‐loadings

Mohammadkhani

Haghighi

Aghaei

2018

Asia-Pacific J Chem Eng

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Nanostructured core‐shell silicoaluminophosphate (SAPO)‐34/zeolite socony mobil (ZSM)‐5 composite has been synthesized with various SAPO‐34 loadings in order to control light olefins selectivity and increase its lifetime in methanol to olefins process. Physicochemical properties and catalytic performance of SAPO‐34/ZSM‐5 composite catalyst were different, compared with the parent SAPO‐34 and ZSM‐5. As‐synthesized samples were characterized by different methods such as X‐Ray diffraction, field emission scanning electron microscopy, Brunauer–Emmett–Teller, energy‐dispersive X‐ray, Fourier transform infrared spectroscopy, and NH3‐temperature‐programmed desorption techniques. By increasing SAPO‐34 content in composite catalysts, relative crystallinity of CHA‐phase (chabazite) was enhanced, whereas it was decreased for MFI‐phase. Also, surface area improved by increasing SAPO‐34 loading in core‐shell composite catalysts. The results of the activity test showed that lifetime remarkably increased by using composite catalysts. Compared with the parent SAPO‐34 and ZSM‐5, the composite catalyst with 80% SAPO‐34 loading showed higher methanol conversion and olefins selectivity with time on stream. This is due to the synergic effect between SAPO‐34 and ZSM‐5 zeolites in composite catalyst.

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Kinetic modeling of methanol to olefins over phosphorus modified HZSM-5 zeolite catalyst

Asfha

Kang²,

Berta³

et al. 2021

Korean J. Chem. Eng.

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Kinetic modelling of methanol conversion to light olefins process over silicoaluminophosphate (SAPO-34) catalyst

Cited by 21 publications

References 35 publications

A Dynamic Kinetic Model for Methanol to Light Olefins Reactions over a Nanohierarchical SAPO‐34 Catalyst: Catalyst Synthesis, Model Presentation, and Validation at the Bench Scale

A Dynamic Kinetic Model for Methanol to Light Olefins Reactions over a Nanohierarchical SAPO‐34 Catalyst: Catalyst Synthesis, Model Presentation, and Validation at the Bench Scale

Enhanced stability and propylene yield in methanol to light olefins conversion over nanostructured SAPO‐34/ZSM‐5 composite with various SAPO‐loadings

Kinetic modeling of methanol to olefins over phosphorus modified HZSM-5 zeolite catalyst

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