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Record W4403633175 · doi:10.1016/j.cej.2024.156796

Kinetics, catalyst design, and hydrodynamic analysis in Fischer–Tropsch synthesis: Fixed Bed vs Fluidized Bed Reactors

2024· article· en· W4403633175 on OpenAlexafffund
Tugce N. Eran, Jean Guyot, Daria C. Boffito, Gregory S. Patience

Bibliographic record

VenueChemical Engineering Journal · 2024
Typearticle
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsPolytechnique Montréal
FundersCanada Research ChairsCanada Foundation for Innovation
KeywordsFischer–Tropsch processFluidized bedCatalysisKineticsChemical engineeringChemistryMaterials scienceOrganic chemistryEngineeringPhysics

Abstract

fetched live from OpenAlex

While fixed beds maximize contacting between the fluid and solid phase, commercial processes operate with fluidized beds for highly exothermic reactions, like Fischer–Tropsch (FT), to maximize heat transfer thereby minimizing catalyst sintering and deactivation. However, conversion is lower due to gulf-streaming and poorer gas–solids contacting. In experimental reactors ( < 10 mm) gulf-streaming is negligible and gas–solids contacting is excellent as bubbles are small. Here, we measure CO conversion over 3 FT catalysts — Fe/Ce/SiO 2 -K, Cu, Fe/Zr/SiO 2 -K, Cu, Fe/Catalox-K, Cu — across the same reactor operating in the fluidized bed and fixed bed regime. Flow rates were increased up to a maximum of 5 times the minimum fluidization velocity ( U mf ). The reactor operated at 2 MPa, with a H 2 /CO molar ratio of 2, and 275 °C ≤ T ≤ 325 °C . The average CO conversion was higher in the fixed bed but temperature control was more difficult, which could account for some of the differences. The highest selectivity (80 % to 84 %) was with the Fe/Catalox-K, Cu at 275 °C, 2 to 4 × U mf , in the fixed bed reactor. A first order reaction model characterized CO conversion well ( R 2 > 0 . 91 ) for the Fe–Catalox and Fe–Zr catalysts with activation energies > 70 kJ mol −1 . Conversion was essentially independent of temperature for the Fe–Ce composition in both the fixed bed and fluidized bed. BET surface area decreased 22 % to 52 % after the reaction. XRD analysis after the reaction revealed a 4 % to 10 % decrease in crystallinity, along with the presence of various Fe carbide compounds. Post-reaction SEM-EDS images indicated particle agglomeration and carbon deposition on the catalyst surface. Despite these morphological changes, the impact on CO conversion seemed minimal. Residence time distribution tests confirmed that gas was essentially in plug flow for both the fixed bed and fluidized bed configurations. • When a fluidized bed operates 2 X Umf, conversion is the same as a fixed bed. • A first order kinetic model characterizes CO conversion in Fischer–Tropsch, R 2 > 0 . 9 . • At 325 °C, the catalyst activity reached up to 83% conversion in the fluidized bed. • E a > 70 kJmol − 1 for most catalysts and deactivation over 24 h was negligible. • CO conversion over the Fe Ce on SiO 2 catalyst was unusual, E a < < 70 kJ mol −1 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.216
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2024
Admission routes2
Has abstractyes

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