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Record W2011308582 · doi:10.13031/2013.19586

Bio-oil from Agricultural Residues by Fast Pyrolysis

2005· article· en· W2011308582 on OpenAlexaboutno aff
Yi Weiming, He Fang, Zhihe Li, Yongjun Li, Wanglihong, Xiu Shuangning

Bibliographic record

Venue2005 Tampa, FL July 17-20, 2005 · 2005
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsnot available
Fundersnot available
KeywordsPyrolysisBiomass (ecology)Pyrolysis oilLiquefactionMaterials scienceCeramicWaste managementChemical engineeringPulp and paper industryEnvironmental scienceChemistryOrganic chemistryComposite materialEngineeringAgronomy

Abstract

fetched live from OpenAlex

Biomass pyrolysis liquefaction is a thermo chemical process that converts biomass into aliquid product: bio-oil. This paper reviews the new development of biomass pyrolysis liquefactiontechnologies since 1980s. Several pyrolysis processes and technologies are introduced in details.These technologies include Waterloo Fast Pyrolysis Process (Canada), Vacuum Pyrolysis,DynaMotive Pyrolysis System, Vortex Ablative Pyrolysis, Entrained Flow Pyrolysis, Rotating ConeReactor and Hot Ceramic Ball Heated Down-flow Tuber Reactor developed by us (in China).<br><br>Problems associated with the collection and pretreatment of agricultural biomass residues, includingmaterial drying and the relationship between the cost and the collection radius, are discussed.<br><br>Recent studies on the fundamental of agricultural residues pyrolysis carried out by our group, suchas plasma jet flow entrained flow pyrolysis, chemical analysis of biooil and the devolatilizationcharacteristics of biomass particles at flash heating rate are also introduced briefly.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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