Sustainable aviation fuel: Pathways to fully formulated synthetic jet fuel via Fischer–Tropsch synthesis
Bibliographic record
Abstract
Abstract Fully formulated synthetic jet fuel is an aviation turbine fuel that does not contain petroleum‐derived kerosene and comprises the hydrocarbon compound classes n ‐alkanes, isoalkanes, cycloalkanes, and aromatics. When the aim is to produce sustainable aviation fuel, one potential process pathway is by indirect liquefaction via Fischer–Tropsch synthesis. Fischer–Tropsch synthesised paraffinic kerosene plus aromatics (FT SPK/A) is a product that is fully formulated and can in principle be qualified as Jet A‐1. The synthetic jet fuel must ultimately meet all of the Jet A‐1 specifications. However, there are still hurdles on the path toward global approval of fully formulated synthetic jet fuel. In this study, several different refining pathways are shown that can be employed to produce FT SPK/A. The refining pathways have the desirable attribute of being generally useful and not limited to a specific refining technology. A case study is also presented in which FT SPK/A was produced, characterised and compared to Jet A‐1 specification requirements. It illustrated that it was practical to produce a fully formulated jet fuel via Fischer–Tropsch refining.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".