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Record W2757800415 · doi:10.1021/acssuschemeng.7b01627

Sustainable Production of High-Purity Hydrogen by Sorption Enhanced Steam Reforming of Glycerol over CeO<sub>2</sub>-Promoted Ca<sub>9</sub>Al<sub>6</sub>O<sub>18</sub>–CaO/NiO Bifunctional Material

2017· article· en· W2757800415 on OpenAlexafffund
Marziehossadat Shokrollahi Yancheshmeh, Hamid R. Radfarnia, Maria C. Iliuta

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBifunctionalHydrogen productionSteam reformingCalcinationChemical engineeringMaterials scienceSorbentSinteringSorptionCokeBifunctional catalystCatalysisHydrogenChemistryAdsorptionMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

The present work investigates the sustainable production of high-purity hydrogen through sorption enhanced steam reforming of glycerol (SESRG) over Ca 9 Al 6 O 18 –CaO/ x NiO ( x = 15, 20, and 25 wt %) and Ca 9 Al 6 O 18 –CaO/20NiO– y CeO 2 ( y = 5, 10, and 15 wt %) bifunctional catalyst-sorbent materials. A wet mixing method involving limestone acidification coupled with two-step calcination was employed to prepare the bifunctional materials. Cyclic carbonation/calcination tests revealed that the bifunctional materials promoted with 10 and 15 wt % of CeO 2 possessed an excellent CaO conversion (97% in both cases) and a remarkable cyclic stability (up to 15 cycles). This was mainly attributed to the thin shell-connected structure formed by the addition of CeO 2 and the oxygen mobility characteristic of CeO 2 . The use of Ca 9 Al 6 O 18 –CaO/ x NiO materials in five consecutive SESRG/regeneration cycles revealed that they suffered from fast deactivation mainly due to CaO sintering and coke deposition. Despite the high H 2 purity obtained (∼98%), the prebreakthrough time and hydrogen yield decreased significantly over five cycles. Interestingly, the addition of CeO 2 to the most efficient catalyst (Ca 9 Al 6 O 18 –CaO/20NiO) resulted in a significant improvement in material stability during cyclic operation. The performance of CeO 2 -promoted materials was shown to depend strongly on the CeO 2 content which controlled the number of adjacent Ni active sites, the amount of coke deposition, and the degree of CaO sintering. The bifunctional material promoted with 10 wt % of CeO 2 showed the best performance over five consecutive SESRG/regeneration cycles, with a stable H 2 purity of ∼98%, H 2 yield of ∼91%, and prebreakthrough time of 48 min. The long-term cyclic stability test of Ca 9 Al 6 O 18 –CaO/20NiO–10CeO 2 over 20 cycles exhibited a very stable performance with a H 2 yield of 91% and H 2 purity of 98% within 20 cycles, confirming the high potential of this material for SESRG process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.003
GPT teacher head0.183
Teacher spread0.180 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations68
Published2017
Admission routes2
Has abstractyes

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