Experimental and kinetic modeling of Fischer–Tropsch synthesis over nano structure catalyst of Co–Ru/carbon nanotube

Haghtalab, Ali; Shariati, Jafar; Mosayebi, Amir

doi:10.1007/s11144-019-01535-7

Cited by 21 publications

(23 citation statements)

References 36 publications

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“…Since the FTS is a rather complex reaction, this approach does not account for the mechanisms of formation of different reaction products [41,59]. In order to overcome this problem, the new approaches consist in using microkinetics [65][66][67], DFT calculations [68,69], or to combine DFT calculations and microkinetics in order to elucidate the reaction mechanism [70]. Yang et al [70] combined DFT, transient, and steady-state kinetic modeling to elucidate the reaction mechanism in FTS using a 20%Co/CNTox catalyst to collect the experimental data.…”

mentioning

confidence: 99%

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Ghogia

Nzihou

Serp

et al. 2021

Applied Catalysis A: General

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Highlights Challenges and opportunities in Co/C catalyzed Fischer-Tropsch synthesis  Guidelines for the design of Co/C catalysts for Fischer-Tropsch synthesis  The choice of carbon materials as Fischer-Tropsch synthesis support is rationalized  The evolution of TOF and SC5+ with Co particle size is relatively complex  Effect of confinement and spillover on catalyst performances are discussed

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confidence: 99%

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Ghogia

Nzihou

Serp

et al. 2021

Applied Catalysis A: General

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“…A 100% conversion of methanol was attained, when the temperature and S/M are bigger than 200°C and 1, respectively 56 . At S/M = 2, the conversion achieved approximately 100% even at 100°C 47 . For S/M lower than 1, the methanol conversion was decreased sharply at the temperatures below 200°C 56 …”

Section: Resultsmentioning

confidence: 98%

“…describe the dependency of the reaction rate constant with temperature. [47][48][49][50] To obtain the better results, rate constants may determine from Equation ( 54), which previously reported by Patel and Pant. 21 In this study, correlation rate constants with temperature calculated by means of below relation:…”

Section: The Estimation Of Parameters and Model Validationmentioning

confidence: 99%

Methanol steam reforming over Co‐Cu‐Zn / γ‐Al ₂ O ₃ catalyst: Kinetic and RSM‐BBD modeling approaches

Mosayebi

2020

Int J Energy Res

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Summary To develop kinetic model for methanol steam reforming, the experiment tests at various operating conditions (ie, temperature: 180°C‐500°C, pressure: 1‐11 bar and H2O/CH3OH ratio [S/M] of 0.75‐3.75) on Co‐Cu‐Zn/γ‐Avnl2O3 catalyst. The kinetic model development relied on Langmuir‐Freundlich (LF) method. Also, three second‐order model applied by using response surface methodology‐box behnken design (RSM‐BBD) approach to predict the various responses including methanol conversion, H2 and CO yield. The deviation of kinetic model in predicting responses was 10.86% and showed good forecasting H2 yield compared to other responses. However, RSM‐BBD approach had a better ability in predicting the methanol conversion with error of 5.21% than products selectivity. The methanol conversion and CO yield were almost constant (equal zero) up to 260°C. The methanol conversion of 100% reached close to 500°C at pressures of 1 and 6 bar. An augmentation in S/M led to enhance in methanol conversion and H2 yield, while this trend for CO yield was reverse.

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“…However, there are great discussions over the mechanism of SRM reaction in the literature. [26][27][28][29][30][31][32][33][34][35][36] A detailed mechanism for SRM reaction was introduced by Peppley et al 32 In this mechanism, SRM reaction was followed by MD and WGS reactions over Cu-based catalyst and was based on Langmuir-Hinshelwood (LH) method on the two types of active sites. 32 The active site for MD reaction was distinct compared to WGS and SRM reactions, and dehydrogenation of the adsorbed methoxy group was assumed as the rate-determining step (RDS) for SRM reaction.…”

Section: Introductionmentioning

confidence: 99%

“…27,31,33 Some scholars believed that CO formation occurred via the MD reaction and ignoring the WGS reaction in their proposed kinetics. 13,28,29 However, Patel and Pant, 13 Ranjekar and Ganapati 11 and Fasanya et al 20 ignored MD reaction in their suggested mechanism because of the low selectivity of carbon monoxide in outlet products and assumed that carbon monoxide was produced only via RWGS reaction. On the other hand, some mechanisms of SRM involved a methyl formate intermediate.…”

Section: Introductionmentioning

confidence: 99%

Combined steam and dry reforming of methanol over Fe‐Mn‐Cu / ZrO ₂ catalyst to syngas formation: Study about kinetic and fuzzy model approaches

Mosayebi

Ahmadi

2021

Int J Energy Res

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Combined steam and dry reforming of methanol (CSDRM) experiments were applied to measure the responses of CH 3 OH conversion, H 2 /CO ratio, H 2 and CO yield at a temperature range of 300 C to 900 C, CO 2 /H 2 O ratio of 0.5 to 2.5 and (CO 2 + H 2 O)/CH 3 OH ratio of 1 to 3 on Fe-Mn-Cu/ZrO 2 catalyst in a fixed bed reactor. Fe-Mn-Cu/ZrO 2 catalyst was synthesized via the co-precipitation approach, and its physicochemical properties were examined through X-ray diffractometer, X-ray fluorescence, temperature-programmed reduction, N 2 adsorption/desorption and thermal gravimetric analysis tests. A kinetic model for CSDRM reaction was derived via the Langmuir-Freundlich method and the proposed mechanism included three reversible reactions on three types of active sites. A Mamdani-type fuzzy model was also developed for comparison purposes, as there was no need for detailed knowledge of the process. The error of the kinetic and Mamdani-type fuzzy model approaches obtained 12.69% and 16.42%, respectively. H 2 yield obtained from kinetic model values was closer to the experimental data compared to other responses. However, for the fuzzy model approach, the difference between experimental and calculated methanol conversion was lower. K E Y W O R D S combined steam and dry reforming of methanol, Fe-Mn-Cu/ZrO 2 catalyst, kinetic model, Langmuir-Freundlich, Mamdani-type fuzzy model

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Experimental and kinetic modeling of Fischer–Tropsch synthesis over nano structure catalyst of Co–Ru/carbon nanotube

Cited by 21 publications

References 36 publications

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Methanol steam reforming over Co‐Cu‐Zn / γ‐Al ₂ O ₃ catalyst: Kinetic and RSM‐BBD modeling approaches

Combined steam and dry reforming of methanol over Fe‐Mn‐Cu / ZrO ₂ catalyst to syngas formation: Study about kinetic and fuzzy model approaches

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Experimental and kinetic modeling of Fischer–Tropsch synthesis over nano structure catalyst of Co–Ru/carbon nanotube

Cited by 21 publications

References 36 publications

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Cobalt catalysts on carbon-based materials for Fischer-Tropsch synthesis: a review

Methanol steam reforming over Co‐Cu‐Zn / γ‐Al 2 O 3 catalyst: Kinetic and RSM‐BBD modeling approaches

Combined steam and dry reforming of methanol over Fe‐Mn‐Cu / ZrO 2 catalyst to syngas formation: Study about kinetic and fuzzy model approaches

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Methanol steam reforming over Co‐Cu‐Zn / γ‐Al ₂ O ₃ catalyst: Kinetic and RSM‐BBD modeling approaches

Combined steam and dry reforming of methanol over Fe‐Mn‐Cu / ZrO ₂ catalyst to syngas formation: Study about kinetic and fuzzy model approaches