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Record W2062176453 · doi:10.1016/j.egypro.2013.05.097

Study of Carbon Dioxide Adsorption for Fossil Fuel based Power Plant Flue Gas Application Using Quaternized Biopolymer

2013· article· en· W2062176453 on OpenAlexaff
Nattida Sotthinirandorn, Chintana Saiwan, Raphael Idem, Paitoon Tontiwachwuthikul, Panya Wongpanit, Teeradet Supap

Bibliographic record

VenueEnergy Procedia · 2013
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAdsorptionBiopolymerFlue gasChemistrySaturation (graph theory)Carbon dioxideDesorptionChemical engineeringNuclear chemistryOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

A new adsorbent, trimethyl quaternized biopolmer, synthesized by incorporating a biopolymer with a high concentration of quaternary ammmonium hydroxide reactive site, was used for CO 2 adsorption from power plant flue gases. The degree of quaternization and OH conversion were respectively confirmed at 74% and 100% by titration. Based on preliminary tests in dry adsorption, trimethylbiopolymer (TMBP) worked more effectively in CO 2 removal than biopolymer (BP). A 15 min pretreatment time was found to be optimum and essential in boosting both the CO 2 adsorption capacity and saturation time of the adsorbent. The capacity was also temperature dependent decreasing with an increase in temperature. The effective desorption of CO 2 was at 373 K.

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 score0.216
Threshold uncertainty score0.863

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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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