CO<sub>2</sub> biomass fluidized gasification: Thermodynamics and reactivity studies
Bibliographic record
Abstract
Abstract This study reports biomass gasification in a fluidized CREC Riser Simulator. Steam‐CO 2 and steam‐inert gas were used as gasifier agents. Three biomass feedstocks were evaluated in terms of gasification performance, based on carbon conversion, product molar fraction, and H 2 /CO ratios. Results showed that gasification bed temperature influences syngas yields, as well as tar formation. This is the case regardless of the gasifier agent used. It was also shown that steam‐CO 2 gasification significantly reduces tar formation while improving carbon conversion and increasing H 2 and CO yields. Experimentally‐observed product molar fractions were compared with thermodynamic equilibrium model results. This thermodynamic equilibrium model accounts for biomass elemental composition, bed temperature, and gasifying agents. It was proven that for steam‐CO 2 gasification, the thermodynamic equilibrium model predictions are close to the experimental results obtained in the fluidized CREC Riser Simulator. It was also demonstrated that steam‐carbon dioxide gasification leads to a zero CO 2 gain, and therefore, a negligible carbon footprint.
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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".