Fate of Sulfur, Chlorine, Alkali Metal, and Vanadium Species during High-Temperature Gasification of Canadian Tar Sand Products
Bibliographic record
Abstract
Co-feed of alternative fuels, e.g., petcoke, gains increasing importance for energy conversion in not only Germany but also worldwide. An auspicious process for power generation is the integrated gasification combined cycle (IGCC). Several volatile inorganic species are of concern in IGCC power systems, because they can cause erosion, corrosion, fouling, and slagging. The aim of this work was to obtain detailed information on the influence of fuel composition of the refinery product line tar sand, bitumen, and petcoke in comparison to the standard fuel hard coal on the release of sodium, potassium, chlorine, sulfur, and vanadium species during high-temperature gasification. In addition to the pure fuels, blends of hard coal and petcoke were gasified in lab-scale experiments in a helium/oxygen atmosphere at 1500 °C. The atmospheric conditions were in an entrained flow gasifier. Hot gas analysis was performed by molecular beam mass spectrometry. Species of interest were HCl, H 2 S, COS, SO 2, NaCl, KCl, KOH, and V. A major finding is that the dilution effect cannot satisfactorily explain the release of the sulfur species under investigation for the fuel blends on one side but can explain the release of sodium and chlorine species on the other side.
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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) | 0.000 | 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) | 0.001 | 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 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".