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Record W2070725661 · doi:10.1021/ie020868t

Progress of Sulfation in Highly Sulfated Particles of Lime

2003· article· en· W2070725661 on OpenAlexaff
J.C. Abánades, Edward J. Anthony, Francisco Garcı́a-Labiano, Lufei Jia

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2003
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSulfationAgglomerateCalcinationChemistryParticle sizeThermogravimetric analysisEconomies of agglomerationParticle (ecology)Fluidized bed combustionChemical engineeringCombustionFluidized bedMineralogyMaterials scienceCatalysisComposite materialPhysical chemistryGeologyOrganic chemistry

Abstract

fetched live from OpenAlex

Sulfation of limestone-derived particles over periods of many hours may contribute significantly to limestone's utilization in fluidized-bed combustion (FBC). Long-term sulfation may also cause agglomeration. The progress of sulfation in highly sulfated particles of a calcined limestone is investigated. Conversion curves lasting 14−60 h have been obtained in a thermobalance at different SO 2 concentrations with particle sizes and temperatures typical of FBC boilers. Also, tests in a tube furnace under very strong sulfation conditions have been performed to elucidate the mechanism responsible for the residual activity of the sorbents and their final fate as fully sulfated solids. Scanning electron microscopy analysis of the highly sulfated samples shows cracks in the external surface of all of the particles, irrespective of their sulfation pattern during their fast sulfation period. Based on this observation, a shrinking-core model is used to fit the thermogravimetric analysis curves with an adjustable cracking constant. This simple model gives a satisfactory fit up to conversions close to the full sulfation of the particle. However, in samples allowed to agglomerate, the onset of agglomeration must produce a drastic change in the effective particle size; this explains deviations of the model from results obtained with real ashes in very long sulfation tests.

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 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 score0.005
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.067
GPT teacher head0.299
Teacher spread0.231 · 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".

Quick stats

Citations18
Published2003
Admission routes1
Has abstractyes

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