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Record W2544948557 · doi:10.11159/icnnfc16.111

Longevity Tests of Rh/Al-Ce-Zr Catalyst for Auto-thermal Reforming of Diesel Oil

2016· article· en· W2544948557 on OpenAlexvenueno aff
Won Young Choi, Yeon Baek Seong, Tae Hoon Lee, Chang Jun Park, Jin‐Wook Lee, Min Jung Kim, No‐Kuk Park, Tae Jin Lee

Bibliographic record

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2016
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiesel fuelMaterials scienceCatalysisMetallurgyWaste managementChemistryEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Recently, energy shortages are appearing constantly. Therefore, the research on alternative energy has demanded In this study, the catalytic activity of Rh-based supported catalysts was investigated for the auto-thermal reforming of diesel oil. The auto-thermal reforming of diesel oil occur the chemical reaction of steam, oxygen and the vaporized diesel gas, and it was performed at high temperature condition above at 800 C. Therefore, the catalytic activity can decrease by the sintering and the carbon coking. However, auto-thermal reforming has been considered as the appropriate method for diesel reforming, because auto-thermal reforming has showed less coke formation than other reforming method In this study, rhodium was used as the main active material for the production of hydrogen and the catalytic promoter was used alumina, zirconia, and ceria. Zirconia and ceria has been used as the catalytic promoter due to its high thermal stability and carbon coking resistibility. The Al-Ce-Zr based catalytic support material coated over metal foam plate was formed to the morphology of nano-structure. It was confirmed by XRD analysis that cerium and zirconium components in Al-Ce-Zr based catalytic support material was synthesized to CeZrO2 crystal structure. It was concluded that CeZrO2 prevents carbon deposition on catalyst active site due to their high lattice oxygen mobility. Carbon deposition is one of catalytic deactivation in hydrocarbons reforming reaction. The yield of hydrogen by diesel auto-thermal reforming increased with increasing reaction temperature, and was obtained 5, 15 and 43% at 600, 700 and 800 C, respectively. The fuel conversions at same conditions were 20, 85 and 100%. The high hydrogen yield was obtained at 2.5 of steam/carbon ratio when reforming reaction was carried out at 800. The optimum condition of oxygen/carbon was also confirmed to 0.25. In this study, long-term activity test of Rh/Al-Ce-Zr based catalyst was carried out under the optimum auto-thermal reforming condition. The composition of hydrogen and carbon monoxide in dry product gas was maintained to approximately 45% and 11% during 500 h, respectively. The theoretical composition of syn-gas, which is calculated by material balance under same condition, was 56%. Therefore, it was concluded that the catalytic activity of Rh/Al-Ce-Zr based catalysts is very excellent on diesel auto-thermal reforming. The carbon content on the surface of catalysts after 100, 200, 300, 400and 500 h reactions was investigated by EDX analysis and the carbon deposition was not observed. It was also confirmed by TEM analysis that the crystal size of catalytic support materials increased with increasing reaction time. It was concluded that the change of crystal size is occurred by the sintering of alumina and the crystallization of CeZrO2 at high temperature condition. However, catalytic deactivation by the change of crystal structure was not observed for 500 h. It was expected that the crystallization of CeZrO2 prevents the deactivation by carbon deposition due to carbon oxidation of lattice oxygen in CeZrO2.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.398
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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