Agglomeration of Sorbent Particles during Sulfation of Lime in the Presence of Steam
Bibliographic record
Abstract
Previous investigations of FBC systems utilizing limestone addition for SO 2 capture have shown that sintering due to chemical reaction (sulfation) and related solid-state diffusion are important causes for agglomeration/fouling in FBC boiler systems firing high-sulfur fuels. When the original work was done it was widely believed that steam did not affect indirect sulfation and, therefore, its effects on agglomeration were not considered. However, recent research clearly shows that steam at levels produced by burning hydrocarbon fuels can significantly improve sulfation by enhancing solid state diffusion and limestone conversion. The present study revisits the earlier studies on agglomeration but in the presence of steam. The agglomeration tendency of two limestones, Kelly Rock (Canada) and Katowice (Poland, Upper Silesia) was tested, using two particle sizes (75−115 and 250−425 μm) in pelletized and nonpelletized forms. The samples were sulfated for up to seven days in a tube furnace (TF) and thermogravimetric analyzer (TGA) by a gas mixture containing 15% of H 2 O (g) . The results were compared with those obtained with no steam present during reaction. The residues after sulfation were examined by scanning electron microscopy (SEM) and their surfaces and profiles were analyzed by energy dispersive X-ray (EDX) spectroscopy. The results showed that steam greatly affects sulfation and solid state diffusion and this caused enhanced agglomeration. Similar agglomeration effects noticed after 100 days of sulfation time in past studies were shown to occur in just one day in the presence of steam. SEM analysis showed that sulfated particles agglomerate, and connections between particles due to sulfation are often stronger than the original strength of the particles themselves. The effect of agglomeration is more pronounced in the case of smaller particles and/or pelletized samples. These results suggest that steam may play a significant role in the fouling of industrial boilers firing high-sulfur fuels.
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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".