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Record W2333745585 · doi:10.1021/sc300098e

Pyrolysis of Switchgrass (Panicum virgatum L.) at Low Temperatures within N<sub>2</sub>and CO<sub>2</sub>Environments: Product Yield Study

2012· article· en· W2333745585 on OpenAlexaff
Guillaume Pilon, Jean‐Michel Lavoie

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2012
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPanicum virgatumPyrolysisCharRaw materialChemistryBiofuelYield (engineering)BioenergyCarbon dioxideBiomass (ecology)Carbon fibersPulp and paper industryAgronomyWaste managementMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Bioproducts and biofuels production from pyrolysis might benefit from recycling CO 2 within the process instead of using conventional inert gases such as N 2 . In this study switchgrass ( Panicum virgatum L.) was pyrolyzed within CO 2 and N 2 environments at 300, 400, and 500 °C for 2.5 min in a labscale fixed-bed reactor of 25 g/batch capacity. Chars, liquids, and noncondensable gases were monitored and characterized and yields were compared. A significantly lower liquid yield was observed at 300 °C–CO 2 in comparison to a 300 °C–N 2 environment, which was reflected with the char volatile content being higher under 300 °C–CO 2 and within the elemental composition of the solid and liquid products. Carbon dioxide also showed an effect at 500 °C, where liquid and gas yields significantly reduced and increased, respectively. At 400 °C–CO 2, CO concentrations were lower and CO 2 was higher compared to the levels at 400 °C–N 2, while at 500 °C–CO 2, CO concentrations were higher, CO 2 was lower, and CH 4 was lower compared to levels at 500 °C–N 2 . At 500 °C, a significant ash content reduction with respect to original biomass was observed only in the CO 2 environment, suggesting that CO 2 may effect inorganic content and subsequently the feedstock conversions since some feedstock inorganic elements are known to play a catalyst role along these reactions. Additional tests were conducted by following regular 500 °C tests with a char air quench. This resulted in a char specific surface increase of about 20 times; CO 2 and N 2 initial environments confounded.

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 categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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.

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

Citations65
Published2012
Admission routes1
Has abstractyes

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