Air‐blown bubbling fluidized bed co‐gasification of woody biomass and refuse derived fuel
Bibliographic record
Abstract
Abstract Air‐blown auto‐thermal bubbling fluidized bed gasification of refuse derived fuel (RDF) and wood pellet mixtures was investigated at 725 °C, 800 °C, and 875 °C. Gasification of mixtures containing RDF at 875 °C resulted in agglomeration of bed material, which prevented steady state operation of the gasifier. Results from the analysis of produced gases, equivalence ratios, and feed rates, did not indicate significant interactions between the two different types of fuel pellets during gasification. RDF was found to yield more tar than wood pellets, but wood pellets tended to produce more problematic tar compounds. Only small variations in the lower heating value of produced gases were observed, though a greater portion of the heating value of the gases produced with RDF was provided by C 2 and C 3 hydrocarbons.
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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".