Effect of preparation method of active component on the cycling performance of sorbents for hot coal gas clean‐up
Bibliographic record
Abstract
Abstract High temperature gas desulphurization is an efficient environmentally friendly process for high efficiency technologies with syngas clean‐up. The present study investigated the impact of preparation methods on the behaviours of ZnO/red clay sorbent. The sorbents were prepared by the homogeneous precipitation method and solid‐state method, respectively. The surface and structural properties of the sorbents were characterized by thermogravimetric, X‐ray diffraction, X‐ray photoelectron spectroscopy, scanning electron microscope‐elemental mapping, and N 2 adsorption analysis. Successive desulphurization‐regeneration cycles were conducted to investigate the reusability of the sorbents. After four cycles of desulphurization‐regeneration experiments, the breakthrough times of the two kinds of regenerated sorbents plunged 18.17 % and 23.26 %, respectively. Attritions of sorbents have not been observed, meaning the regenerated sorbents still maintain a high mechanical strength. The sorbents prepared through the homogeneous precipitation method were found to exhibit a longer breakthrough time much greater than those prepared by the solid‐state method. The characterization data indicate that the homogeneous precipitation method results in more uniform distribution of active component sorbent with smaller particle size and better pore structure, which favours the chemical reaction and mass transfer processes.
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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 | 0.001 | 0.001 |
| 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".