Development of new comprehensive kinetic models for Fischer–Tropsch synthesis process over Fe–Co/γ-Al2O3 nanocatalyst in a fixed-bed reactor

Einbeigi, Amin; Atashi, Hossein; Mirzaei, Ali Akbar; Zohdi‐Fasaei, Hossein; Golestan, Somayeh

doi:10.1016/j.jtice.2019.07.004

Cited by 10 publications

(8 citation statements)

References 42 publications

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“…It is reported in the literature that olefins to paraffin ratios depend on the partial pressures of CO, 34,51 H 2 51 and temperature. 37,[51][52][53] Rytter et al also reported increased olefins to paraffin ratio with water addition. 34 Based on these pieces of evidence, a semi-empirical model, as shown in Equation (18), was considered for β model.…”

Section: Co Consumption Rate Modelingmentioning

confidence: 93%

“…For the modeling of the probabilistic distribution parameters, β , it is essential to understand the characteristics of olefins paraffins ratio with the variation in process parameters. It is reported in the literature that olefins to paraffin ratios depend on the partial pressures of CO, 34,51 H 2 51 and temperature 37,51‐53 . Rytter et al also reported increased olefins to paraffin ratio with water addition 34 .…”

Section: Co Consumption Rate and Product Distribution Modelingmentioning

confidence: 95%

“…Here, the Arrhenius type equation was considered for k β to explain increasing paraffin fraction with temperature as reported in the literature. 37,52,53…”

Section: Co Consumption Rate Modelingmentioning

confidence: 99%

“…The residence time in the FTS is strongly correlated with the conversion or decrease in the p CO ; thus, a simple β ‐model explaining the effect of residence time is proposed for describing hydrogenation of primary olefin to paraffin. The model also indirectly incorporates an increase in the hydrogenation of olefins to paraffin with increasing H 2 pressure in the reactor.

β = \frac{1}{1 + \frac{k_{β} ((), T_{k})}{p_{CO}}}

Here, the Arrhenius type equation was considered for k β to explain increasing paraffin fraction with temperature as reported in the literature 37,52,53

k_{β} = k_{β, ref} e^{- \frac{E_{a}^{β}}{R} \times ((), \frac{1}{T_{k}} - \frac{1}{483})}

…”

Section: Co Consumption Rate and Product Distribution Modelingmentioning

confidence: 99%

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Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

et al. 2021

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A detailed kinetic model describing the consumption of key components and product distribution in the Fischer-Tropsch synthesis (FTS) over a 20%Co/0.5Re γ-Al 2 O 3 commercial catalyst is developed. The developed model incorporates the H 2 Oassisted CO dissociation mechanism developed by Rytter and Holmen and a novel approach to product distribution modeling. The model parameters are optimized against an experimental dataset comprising a range of process conditions: total pressure 2.0-2.2 MPa, temperature 210-230 C, CO conversion range of 10%-75% and feed with and without added water. The quality of the model fit measured in terms of mean absolute relative residuals (MARR) value is 23.1%, which is comparable to literature reported values. The developed model can accurately describe both positive and negative effects of water on the rate kinetics, the positive effect of water on the growth factor, temperature and syngas composition on the kinetics and product distribution over a wide range of process conditions, which is critical for the design and optimization of the Fisher-Tropsch reactors.

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Section: Co Consumption Rate Modelingmentioning

confidence: 93%

Section: Co Consumption Rate and Product Distribution Modelingmentioning

confidence: 95%

“…Here, the Arrhenius type equation was considered for k β to explain increasing paraffin fraction with temperature as reported in the literature. 37,52,53…”

Section: Co Consumption Rate Modelingmentioning

confidence: 99%

β = \frac{1}{1 + \frac{k_{β} ((), T_{k})}{p_{CO}}}

Here, the Arrhenius type equation was considered for k β to explain increasing paraffin fraction with temperature as reported in the literature 37,52,53

k_{β} = k_{β, ref} e^{- \frac{E_{a}^{β}}{R} \times ((), \frac{1}{T_{k}} - \frac{1}{483})}

…”

Section: Co Consumption Rate and Product Distribution Modelingmentioning

confidence: 99%

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Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

et al. 2021

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“…Fischer-Tropsch Synthesis (FTS) as a favorite heterogeneous catalytic process for the chemical industry and research teams is the conversion of synthesis gas (H 2 + CO) into a mixture of hydrocarbons with the advantages of low content of toxic and carcinogenic pollutants including sulfur and aromatics [1][2][3][4][5][6][7][8][9][10][11]. Light olefins (C ¼ 2 À C ¼ 4 ) as part of hydrocarbons, are extremely important because they are feedstocks for the synthesis of economically valuable products such as polymers, detergents and solvents [12,13].…”

Section: Introductionmentioning

confidence: 99%

Assessment of composition and calcination parameters in Fischer-Tropsch synthesis over Fe–Mn–Ce/γ-Al₂O₃ nanocatalyst

Roknabadi

Mirzaei

Atashi

2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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The effects of nanocatalyst composition and calcination parameters on the performance of the Fe–Mn–Ce ternary nanocatalysts supported on alumina granules in a laboratory fixed bed microreactor have been evaluated. Nanocatalysts were synthesized by incipient wetness impregnation under vacuum method (simultaneous impregnation of metal species). The samples used for hydrogenation of carbon monoxide via Fischer-Tropsch synthesis. The optimum nanocatalyst composition for production of light olefins (C=2 – C=4) from synthesis gas is 75 wt%Fe–20 wt%Mn–5 wt%Ce. The calcination parameters (temperature, time and atmosphere) were investigated and their effects on the structure and performance of the nanocatalysts were determined. The maximum ratio of olefins/(methane + paraffin) and the best activity and selectivity belonged to the nanocatalyst which was calcined in static air at 500 °C for 7 h. The nanocatalyst precursors and calcined samples (fresh and used) were characterized by XRD, N2 physisorption, FE‒SEM, EDAX, MAP, TG, DSC, and H2–TPR. The present study results confirm that the structural, morphological and physic-chemical properties of the nanocatalyst have been impressed with metal species and calcination parameters.

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Comprehensive kinetic study for Fischer–Tropsch reaction over KMoFe/CNTs nano‐structured catalyst

et al. 2023

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Development of new comprehensive kinetic models for Fischer–Tropsch synthesis process over Fe–Co/γ-Al2O3 nanocatalyst in a fixed-bed reactor

Cited by 10 publications

References 42 publications

Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

Assessment of composition and calcination parameters in Fischer-Tropsch synthesis over Fe–Mn–Ce/γ-Al₂O₃ nanocatalyst

Comprehensive kinetic study for Fischer–Tropsch reaction over KMoFe/CNTs nano‐structured catalyst

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Development of new comprehensive kinetic models for Fischer–Tropsch synthesis process over Fe–Co/γ-Al2O3 nanocatalyst in a fixed-bed reactor

Cited by 10 publications

References 42 publications

Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

Modeling Fischer–Tropsch kinetics and product distribution over a cobalt catalyst

Assessment of composition and calcination parameters in Fischer-Tropsch synthesis over Fe–Mn–Ce/γ-Al2O3 nanocatalyst

Comprehensive kinetic study for Fischer–Tropsch reaction over KMoFe/CNTs nano‐structured catalyst

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Assessment of composition and calcination parameters in Fischer-Tropsch synthesis over Fe–Mn–Ce/γ-Al₂O₃ nanocatalyst