Modelling and optimization of Fischer–Tropsch products through iron catalyst in fixed-bed reactor

Atashi, Hossein; Rezaeian, Fatemeh

doi:10.1016/j.ijhydene.2017.04.224

Cited by 22 publications

(10 citation statements)

References 28 publications

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“…This methodology is an assortment of statistical techniques for the experimental design, the building of the models, evaluating the consequences of factors, and searching for the optimum conditions. Using the experimental designs of response surface methodology makes it attainable to use statistical tools for the modeling (Shojaeimehr et al 2014;Atashi and Rezaeian 2017).…”

Section: Modeling Methodsmentioning

confidence: 99%

“…From chemical engineering viewpoint, selectivity studies play a significant role in achieving an optimum performance of FTS process. As an effective tool for organization of the experimental studies, designing of experiments (DOE) is widely used in various science and technology fields, as well as designing, optimizing and developing of the catalyst (Atashi and Rezaeian 2017;Atashi et al 2015).…”

Section: Artificial Neural Network and Design Of Experimentsmentioning

confidence: 99%

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Modeling of liquid hydrocarbon products from syngas

Atashi

Hajisafari

Rezaeian

et al. 2018

Int J Coal Sci Technol

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The modeling of hydrocarbon selectivity and CO conversion of the Fischer-Tropsch synthesis over Fe-Ni/Al 2 O 3 catalyst by using coupled artificial neural networks (ANN) and design of experiment (DOE) approaches were investigated. The variable parameters for modeling consisted of the pressure range between 2 and 10 bar and the temperature range of 523-573 K. After training of data by ANN and determination of DOE points by central composite design (CCD), the results were compiled together for producing simulated data used in the response surface method (RSM). The RSM was used as an applied mathematics model to demonstrate the CO conversion and selectivity of hydrocarbons dependence on the CO hydrogenation conditions. The results indicated that CO conversion and C þ 5 selectivity increased with rising both temperature and pressure. The methane selectivity showed upward trend as the temperature increased. It also increased by decreasing pressure. Finally, the optimization of the catalytic process was carried out and conditions with maximum desired product were obtained. A comparison of experimental values and RSM values show that the RSM equations are able to predict the behavior of experimental data.

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Section: Modeling Methodsmentioning

confidence: 99%

Section: Artificial Neural Network and Design Of Experimentsmentioning

confidence: 99%

Modeling of liquid hydrocarbon products from syngas

Atashi

Hajisafari

Rezaeian

et al. 2018

Int J Coal Sci Technol

Self Cite

View full text Add to dashboard Cite

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“…(2) valve, (3) pressure gauge, (4) mass flow controller (MFC), (5) mixing chamber, (6) thermocouple, (7) tubular furnace, (8) fix bed reactor and catalyst bed (reaction zone), (9) temperature digital program controller (DPC), (10) resistance temperature detector, (11) condenser, (12) trap, (13) back pressure regulator (BPR), (14) flow meter, (15)…”

Section: Figure 2 Experimental Setup Of Fixed Bed Reactor (Fbr) For mentioning

confidence: 99%

“…Many researches had studied on selectivity of Fischer-Tropsch synthesis, e.g Atashi et al [14] investigates modeling and optimizing of products through iron catalyst. Sun et al [15] illustrates optimization using response surface methodology using SiO 2 bimetallic Co-Ni catalyst.…”

Section: Optimizationmentioning

confidence: 99%

Effect of Oleylamine Concentration and Operating Conditions on Ternary Nanocatalyst for Fischer-Tropsch Synthesis Using Response Surface Methodology

Lari¹,

Bozorgzadeh²,

Atashi³

et al. 2019

AJCHE

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The Fe-Co-Ce nanocatalyst was synthesized by a solvothermal method and used in Fischer-Tropsch synthesis. This paper represents a statistical analysis to illustrate the effects of oleylamine concentration and operating variables (temperature, pressure, inlet H 2 /CO molar ratio) on light olefin (C 2 = -C 4 = ), paraffin (C 1 + C 2 -C 4 ) selectivity and CO conversion (catalyst activity) in a fixed bed micro reactor was done. In order to evaluate variable effects, analysis of variance (ANOVA) was applied for modeling and optimization of goal products using response surface methodology (RSM). The result showed that by increasing both amine concentration and pressure at lower temperature and inlet H 2 /CO molar ratio, olefin selectivity and CO conversion rises, while paraffin selectivity reduces. Comparison of optimization results to maximum olefin selectivity and CO conversion and minimum paraffin selectivity for predicted and experimental data indicate a desirable agreement.

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“…Fischer-Tropsch synthesis is an industrial technology which by using synthesis gas (that can be produced from gasification) produces liquid fuels such as gasoline, diesel etc. using a catalyst (Rafati et al 2017;Sørum et al 2001;Kim et al 2013;Atashi and Rezaeian, 2017;Atashi and Veiskarami 2018;Zhang et al 2018). Using the Fischer-Tropsch synthesis, a range of hydrocarbon products such as wax, liquid fuels, olefins and oxygenated hydrocarbons can be achieved by manipulating the process conditions and catalyst system.…”

Section: Introductionmentioning

confidence: 99%

The green fuel from carbon waste: optimization and product selectivity model studies

Atashi

Rezaeian

Mirzaei

2018

Int J Coal Sci Technol

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Increase in greenhouse gases, has made scientists to substitute alternative fuels for fossil fuels. Nowadays, converting biomass into liquid by Fischer-Tropsch synthesis is a major concern for alternative fuels (gasoline, diesel etc.). Selectivity of Fischer-Tropsch hydrocarbon product (green fuel) is an important issue. In this study, the experimental data has been obtained from three factors; temperature, H 2 /CO ratio and pressure in the fixed bed micro reactor. T = 543-618 (K), P = 3-10 (bar), H 2 /CO = 1-2 and space velocity = 4500 (1/h) were the reactor conditions. The results of product modeling for methane (CH 4 ), ethane (C 2 H 6 ), ethylene (C 2 H 4 ) and CO conversion with experimental data were compared. The effective parameters and the interaction between them were investigated in the model. H 2 /CO ratio and pressure and interaction between pressure and H 2 /CO in ethane selectivity model and CO conversion and interaction between temperature and H 2 /CO ratio in methane selectivity model and ethylene gave the best results. To determine the optimal conditions for light hydrocarbons, ANOVA and RSM were employed. Finally, products optimization was done and results were concluded.

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Modelling and optimization of Fischer–Tropsch products through iron catalyst in fixed-bed reactor

Cited by 22 publications

References 28 publications

Modeling of liquid hydrocarbon products from syngas

Modeling of liquid hydrocarbon products from syngas

Effect of Oleylamine Concentration and Operating Conditions on Ternary Nanocatalyst for Fischer-Tropsch Synthesis Using Response Surface Methodology

The green fuel from carbon waste: optimization and product selectivity model studies

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