Petroleum Coke Gasification Temperatures and Flame Spectra in the Visible Region at High Pressure
Bibliographic record
Abstract
In recent years, the mandate for CO 2 reduction and clean power generation has led to the advancement of research in high-pressure combustion and gasification. Traditionally, thermocouples monitor the wall temperature of a gasifier, and gas analyzers record the composition of the syngas produced. This paper describes flame emission spectroscopic measurements performed in a pilot-scale entrained-flow gasifier operating at a maximum pressure of 15 bar (g) with petroleum coke as fuel. Low cost and availability make petroleum coke attractive for use in energy production. In the current work, flame spectra observed in the visible region (500–800 nm) during petroleum coke gasification, in the pilot-scale gasifier at CanmetENERGY, are presented. These spectra were acquired with a cooled and purged fiber optic probe coupled to a spectrometer. Gasification flame spectra and information on reaction chamber temperature and the emission peaks of alkali metals and other spectral features observed in these measurements are discussed. The results show that flame emission spectroscopy is useful for gasifier performance monitoring.
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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".