Study on regenerative process of the new carbon capture technique based on antisolvent crystallization to strengthen crystallization
Bibliographic record
Abstract
A new technique for reinforced ammonia with a low carbonized ratio to be crystallized by means of antisolvent crystallization using ethanol as the antisolvent was put forward in this paper in view of existing problems of carbon capture by ammonia. Through the application of antisolvent crystallization to reinforce the crystallization process, low energy consumption of regeneration could be achieved easily due to saving the energy to heat the water of carbonized ammonia in the desorption process. Additionally, if the rate of rising temperature is 5 K/min, the crystal product will be totally decomposed, which has advantages over the process of rich carbonated ammonia. The percent conversion of crystal product can be 100 % when the temperature is 350 K, which can be achieved by the waste heat from the power plant that can be used as a heat source of the regeneration process. When the regenerated temperature is between 313 K and 353 K, the active energy can be 44 kJ/mol. When the rate of rising temperature is 5 K/min, 10 K/min, 15 K/min, and 25 K/min respectively, the rate of decomposition and active energy at different experimental conditions are studied in this paper.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".