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Record W2033423539 · doi:10.1080/15435070903501217

Novel Application of Vermiculite for Siloxane Removal from Biogas

2010· article· en· W2033423539 on OpenAlexaff
Nadim Reza Khandaker, Peter Seto

Bibliographic record

VenueInternational Journal of Green Energy · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsBiogasSiloxaneVermiculiteWaste managementAdsorptionRenewable energyEnvironmental scienceMaterials sciencePulp and paper industryChemistryEngineeringOrganic chemistryComposite materialPolymer

Abstract

fetched live from OpenAlex

The application of biogas in powering microturbines, gas turbines, and fuel cells calls for low levels of siloxanes in biogas. At present, the generated biogas is filtered with activated carbon filter to remove siloxane prior to power generation application. This paper will report the novel application of vermiculite for siloxane removal from biogas. In adsorption studies conducted with untreated biogas from wastewater treatment plants digesters, vermiculites was able to remove siloxanes from the biogas to levels called for by engine manufacturers. Vermiculite could serve as the cost effective alternate to activated carbon for siloxane removal from biogas for green energy generation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.519

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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