Interpretation and kinetic modeling of product distributions of cobalt catalyzed Fischer–Tropsch synthesis

Patzlaff, Jürgen; Liu, Y.; Graffmann, C.; Gaube, Johann

doi:10.1016/s0920-5861(01)00465-5

Cited by 77 publications

(93 citation statements)

References 16 publications

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“…Many studies focused on these deviations from the ideal ASF distribution and some researchers have been successful in representing the deviation by superposition of two ASF distributions [7±9]. Theories based in the superposition of two ASF distributions rely on the dual site theory [3], secondary chain growth of readsorbed alkenes theory [6,10], and the dual mechanism of chain growth theory [11,12].…”

Section: Introductionmentioning

confidence: 99%

Polymerization Kinetics of Fischer‐Tropsch Reaction on Iron Based Catalysts and Product Grade Optimization

Fernandes

2005

Chem Eng & Technol

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The polymerization kinetics of Fischer-Tropsch reactions on a K-promoted Fe catalyst was studied. To represent the product distribution, a kinetic model was developed based on alkyl and alkenyl mechanisms for hydrocarbon chain propagation, which were assumed to occur simultaneously in the Fischer-Tropsch synthesis. The conclusion was drawn that superimposed Anderson-Schulz-Flory (ASF) distributions with different chain growth probabilities, on iron catalysts, can be the result of different chain growth mechanisms. The polymerization mechanism was used to obtain the product distribution for several conditions, and the optimum conditions for the production of transportation fuels were found.

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Section: Introductionmentioning

confidence: 99%

Polymerization Kinetics of Fischer‐Tropsch Reaction on Iron Based Catalysts and Product Grade Optimization

Fernandes

2005

Chem Eng & Technol

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“…However, under our conditions, incorporation is the most important reaction on both catalysts, which contrasts with ethene addition. Hydrogenation of ethene has been found to be the predominant conversion on both iron and cobalt catalysts [18][19][20] . Albert 21 studied ethylene and acetylene chemisorptions on Co(0001) and observed that an acetylene monolayer blocks all surface sites for subsequent CO chemisorptions, while an ethylene monolayer allows the coadsorption of 25% of a CO monolayer.…”

Section: Effect Of Operating Variables On Acetylene Incorporationmentioning

confidence: 99%

C1 Chemistry for the Production of Ultra-Clean Liquid Transportation Fuels and Hydrogen

Huffman¹

2004

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Faculty and students from five universities -the University of Kentucky, University of Pittsburgh, University of Utah, West Virginia University, and Auburn University -are collaborating in a research program to develop C1 chemistry processes to produce ultra-clean liquid transportation fuels and hydrogen, the zero-emissions transportation fuel of the future. The feedstocks contain one carbon atom per molecular unit. They include synthesis gas (syngas), a mixture of carbon monoxide and hydrogen produced by coal gasification or reforming of natural gas, methane, methanol, carbon dioxide, and carbon monoxide. An important objective is to develop C1 technology for the production of liquid transportation fuel and hydrogen from domestically plentiful resources such as coal, coalbed methane, and natural gas. An Industrial Advisory Board with representatives from Chevron-Texaco, Eastman Chemical, Conoco-Phillips, the Air Force Research Laboratory, the U.S. Army National Automotive Center (Tank & Automotive Command -TACOM), and Tier Associates provides guidance on the practicality of the research. The current report presents results obtained in this research program during the six months of the subject contract from October 1, 2002 through March 31, 2003. The results are presented in thirteen detailed reports on research projects headed by various faculty members at each of the five CFFS Universities. Additionally, an Executive Summary has been prepared that summarizes the principal results of all of these projects during the six-month reporting period. 4 Executive SummaryPrepared by Gerald P. Huffman, Director, Consortium for Fossil Fuel Science (859) 257-4027; huffman@engr.uky.edu IntroductionThe Consortium for Fossil Fuel Science (CFFS), a five university research consortium, is conducting a program of basic research aimed at developing innovative and economical technology for producing clean liquid transportation fuels and hydrogen from coal, natural gas, and other hydrocarbons by C1 chemistry. The research program is made up of thirteen separate but coordinated research projects being conducted at the five CFFS universities, all contributing towards achieving the goal of producing clean, economical transportation fuel from domestic resources. The current report briefly summarizes progress made toward those goals during the first six months of the second year of this research contract. This Executive Summary briefly summarizes the principal results obtained during this period. The appended individual project reports provide more details and contain all the required elements of DOE research contract reports: an introduction, experimental procedures, results and discussion, conclusions, and references. Lists of all publications and presentations resulting from this research contract during this period are also given in these project reports. Results Liquid fuelsThere are active interactions between the components of hybrid catalysts consisting of Ptpromoted tungstated zirconia and sulfated zirconia (PtWZr/SZr)...

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“…The product distributions tend to obey the Anderson-Shultz-Flory chainlength statistics, but this is not always true, and many researchers have reported deviations from the ASF theory [1][2][3], leading to a more complex optimization problem. Theories for ASF deviations are based on the superposition of two ASF distributions and rely on the dual site theory [3], secondary chain growth of readsorbed alkenes theory [2,4], and the dual mechanism of chain growth theory [5,6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Fischer‐Tropsch Synthesis Using Neural Networks

Fernandes

2006

Chem Eng & Technol

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Fischer-Tropsch synthesis is an important chemical process for the production of liquid fuels and olefins. Optimization of hydrocarbon products such as diesel and gasoline produced by Fischer-Tropsch synthesis usually requires the knowledge of the complex polymerization mechanism and the kinetic parameters associated with it in order to optimize production. The Fischer-Tropsch reaction mechanism is still not fully understood, making optimization a hard task. In this work, a neural network was used in substitution to the reaction mechanism to optimize diesel and gasoline production based on few experimental data for the reaction. The neural network has yielded satisfactory predictions of the product distribution (with prediction errors lower than 5 %) and the optimum operating conditions for gasoline and diesel production were found for a commercial iron based catalyst.

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Interpretation and kinetic modeling of product distributions of cobalt catalyzed Fischer–Tropsch synthesis

Cited by 77 publications

References 16 publications

Polymerization Kinetics of Fischer‐Tropsch Reaction on Iron Based Catalysts and Product Grade Optimization

Polymerization Kinetics of Fischer‐Tropsch Reaction on Iron Based Catalysts and Product Grade Optimization

C1 Chemistry for the Production of Ultra-Clean Liquid Transportation Fuels and Hydrogen

Optimization of Fischer‐Tropsch Synthesis Using Neural Networks

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