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Production of Renewable Hydrocarbons by Thermal Cracking of Oleic Acid in the Presence of Water

2017· article· en· W2741499262 on OpenAlexafffund
Mehdi Omidghane, Ehsan Jenab, Michael Chae, David C. Bressler

Bibliographic record

VenueEnergy & Fuels · 2017
Typearticle
Languageen
FieldEngineering
TopicThermochemical Biomass Conversion Processes
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates Bio SolutionsMitacsGovernment of CanadaUniversity of AlbertaBioFuelNet Canada
KeywordsChemistryPyrolysisOleic acidProduct distributionYield (engineering)Organic chemistryFatty acidChromatographyCatalysisBiochemistry

Abstract

fetched live from OpenAlex

The thermal cracking of oleic acid, a model fatty acid, in the temperature range of 390–450 °C was studied in the presence and absence of water. The effect of water on conversion yield and product distribution was determined. Analysis of the pyrolysis product by gas chromatography and mass spectrometry revealed the presence of expected compounds such as alkanes, alkenes, cyclic hydrocarbons, aromatics, and fatty acids in the liquid product. The results showed that distribution of the different classes of compounds was mainly dependent on the reaction temperature. In the absence of water, the products generated from pyrolysis of fatty acids at 430 and 450 °C yielded lower volumes of liquid product and higher amounts of aromatic compounds and solid residues than at 390 °C. However, these reactions still displayed high conversion and low fatty acid content. In the presence of water, an increase in liquid product yield was measured compared to pyrolysis conducted in the absence of water. However, the presence of water resulted in a remarkable drop in conversion (from 91.2 ± 1.0% to 74.2 ± 0.4%) at 390 °C. At 430 °C, the conversion did not change significantly in the presence of 5% water. At 450 °C, the conversion decreased slightly from 99.7 ± 0.1 to 98.1 ± 1.1 and to 98.2 ± 0.8 in the presence of 5 and 10% water, respectively. Despite the lower conversion at 450 °C, the reduction in absolute amount was very small and thus the conversion rate was still close to 100%. At 450 °C, a decrease in solid residue yield and aromatics was also observed in the presence of water, while cyclic compounds increased at both 430 and 450 °C. The plausible underlying mechanisms have been discussed in this work.

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 score0.002
Threshold uncertainty score0.209

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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

Citations16
Published2017
Admission routes2
Has abstractyes

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