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Production of Organic Compounds through Catalyzed Hydrothermal Carbonization of Woody Biomass

2019· article· en· W2973920845 on OpenAlexafffund
Amin Ghaziaskar, G.A. McRae, Alexis Mackintosh, Edward P. C. Lai, Onita D. Basu

Bibliographic record

VenueEnergy & Fuels · 2019
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLevulinic acidFurfuralHydrothermal carbonizationBiomass (ecology)Formic acidChemistryCatalysisAcetic acidLignocellulosic biomassCarbonizationOrganic chemistryChemical engineeringNuclear chemistryHydrolysisAgronomyAdsorption

Abstract

fetched live from OpenAlex

Catalyzed hydrothermal carbonization of woody biomass produces hydrochar and valuable aqueous products (VAPs) that could potentially be harvested to facilitate commercialization of the process. Acetic acid, formic acid, glycolic acid, levulinic acid, 5-hydroxymethyl-2-furfural, and furfural are potential VAPs found in the process liquid. Recycling the process liquid increased the yields of VAPs not associated with hydrochar production, except for formic acid. Yields increased with the liquid:biomass ratio peaking at 10:1 for all but levulinic acid. The higher heating value of the hydrochar, 27.6 ± 0.3 MJ/kg, was not affected by recycling or the liquid:biomass ratio. The energy yield of catalyzed hydrothermal carbonization increased from 72 to 80% when the process liquid was recycled. Energy yields for hydrochar production increased from 63 to 74% when the liquid:biomass ratio was decreased from 12:1 to 3:1.

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 score0.003
Threshold uncertainty score0.484

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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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

Citations12
Published2019
Admission routes2
Has abstractyes

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