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Record W2727881933 · doi:10.1299/jsmeted.2013.67

C113 Characteristics of Fluidized Bed-Fast Pyrolysis Reactor for Bio-Oil

2013· article· en· W2727881933 on OpenAlexaff
Y. Nagahashi, T. Asano, Koji KOREMATSU, John R. Grace

Bibliographic record

VenueThe Proceedings of the Thermal Engineering Conference · 2013
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFluidized bedPyrolysisResidence time (fluid dynamics)Biomass (ecology)CharEnvironmental scienceWaste managementHeat of combustionSlurryProcess engineeringPyrolysis oilMaterials sciencePulp and paper industryCombustionEnvironmental engineeringChemistryEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Bio-oil/char slurry from wood biomass is an attractive and novel fuel with advantages in energy density, storage and transportation. In this paper, fundamental characteristics of fluidized bed system for fast pyrolysis is presented as improved pyrolysis reactor of our earlier system. This system shows good performance for short residence time close to a few seconds. Influences of the location of biomass supply in a fluidized bed and the resident time on yields quantity and quality are clarified. The property of the yields is shown that the high quality (high-heating value) of bio-oil is obtained under the short residence time.

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 score0.007
Threshold uncertainty score0.693

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 science0.0010.000
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 head0.008
GPT teacher head0.175
Teacher spread0.167 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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