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Record W4405099007 · doi:10.22215/etd/2024-16304

Converting Carbon Dioxide into Synthetic Aviation Fuels: A Techno-Economic Assessment

2024· dissertation· en· W4405099007 on OpenAlexfundaboutno aff
Fawziyyah Adeola Olumoh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsnot available
FundersTransport Canada
KeywordsElectricityWaste managementEnvironmental scienceGreenhouse gasSyngasElectricity generationAviationEngineeringCost of electricity by sourceResource (disambiguation)Environmental engineeringEnvironmental economicsPower (physics)EconomicsChemistry

Abstract

fetched live from OpenAlex

This study models a Power-to-Liquids pathway, modified from existing literature, to produce aviation turbine fuel to meet Canada's annual fuel demand from 2025 to 2050.The process begins with the steady-state production of syngas-a mixture of H2 and CO-from the high temperature co-electrolysis of H2O and CO2 in a solid oxide electrolytic cell.This syngas is then converted to liquid hydrocarbons via the Fischer-Tropsch process.Heavy product fractions are n Number of carbon atoms vi

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score1.000

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)0.0010.001

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 head0.007
GPT teacher head0.257
Teacher spread0.251 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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Same topicAdvanced Aircraft Design and TechnologiesFrench-language works237,207