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Record W1989790510 · doi:10.1021/ef060329r

Removal of CO<sub>2</sub>by Calcium-Based Sorbents in the Presence of SO<sub>2</sub>

2006· article· en· W1989790510 on OpenAlexaff
Ping Sun, John R. Grace, C. Jim Lim, Edward J. Anthony

Bibliographic record

VenueEnergy & Fuels · 2006
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThermogravimetric analysisSorbentSulfationChemistryFluidized bed combustionCalcium loopingCalciumChemical engineeringCombustionCo2 removalFluidized bedAdsorptionCarbon dioxideOrganic chemistry

Abstract

fetched live from OpenAlex

In an investigation of in situ CO 2 removal for fluidized-bed combustion processes, seven calcium-based sorbents were tested for simultaneous CO 2 and SO 2 removal using both an atmospheric thermogravimetric reactor and a pressurized thermogravimetric analyzer. SO 2 was found to impede cyclic CO 2 capture because of pore blockage by sulfate products, resulting primarily from direct sulfation during the later stage of each cycle. The sorbents showed similar patterns during cocapture. Loss in sorbent reversibility could not be prevented but was improved by higher CO 2 partial pressures.

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 score0.002
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 head0.008
GPT teacher head0.209
Teacher spread0.202 · 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

Citations149
Published2006
Admission routes1
Has abstractyes

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