Green diesel from Fischer-Tropsch Synthesis: challenges and hurdles.
Bibliographic record
Abstract
Abstract: Kyoto’s protocol respects the view that, within the context of worldwide preservation and improvement, the quality of life is impossible to maintain without bringing forward new and replacement technologies. Energy supply is perhaps the most significant contributing vector and it is, in consequence, intrinsically linked to nearly all environmental actions. Liquid fuels, such as diesel oil, for transportation and heating needs, are in the centre of these preoccupations. The Fischer-Tropsch Synthesis is an “old ” technology but it can be adapted for use with syngas, biosyngas or biogas, for the production of diesel oil. Such diesel fuel oil, when coming from renewable sources, such as “biomass”, is called “green diesel”. This present work outlines the actual status of the FTS technology and details the scientific challenges, and the technical hurdles, associated with the use of renewable feedstocks and the newly developed “nanometric catalysts”. A recently commenced Canadian R&D project in this technical area is also briefly presented.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".