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Record W1985927431 · doi:10.1504/ijogct.2008.019848

Experimental study of the mechanisms of steam reactivation of unreacted calcium-based sorbent for Flue Gas Desulphurisation

2008· article· en· W1985927431 on OpenAlexaff
Ai‐Jun Wang, Zhongchao Tan, Haiying Qi, Chang Xu

Bibliographic record

VenueInternational Journal of Oil Gas and Coal Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicIndustrial Gas Emission Control
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSorbentFlue gasLimeFlue-gas desulfurizationChemistryWaste managementPorosimetryChemical engineeringFlueMaterials scienceMetallurgyAdsorptionPorosityEngineeringOrganic chemistryPorous medium

Abstract

fetched live from OpenAlex

This paper reports an experimental investigation of the mechanisms of steam reactivation of spent sorbent for flue gas desulphurisation. Sulphated lime samples were reactivated by using steam to increase the conversion rate of sorbent for flue gas desulphurisation. Samples were characterised using mercury porosimeter, XRD, and SEM. Reactivation temperatures were in the range of 200-800°C. Retention times were 5, 10, and 20 min. For the conditions within this work, it was found that sorbent particles broke down when reactivated at 200°C, and migration of trapped CaO outward was the main mechanism when reactivation temperature was greater than 300°C. [Received: April 9, 2007; Accepted: October 2, 2007]

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 score0.015
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.025
GPT teacher head0.264
Teacher spread0.239 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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