Formation and Decomposition Kinetics of CO <sub>2</sub> Hydrates under Static and Stirred Conditions
Bibliographic record
Abstract
In the context of global climate change and energy transition strategies, the CO 2 hydrate technology has emerged as a promising solution in carbon sequestration and energy storage. This study systematically examines the formation and dissociation kinetics of CO 2 hydrates in pure water systems using a high-pressure reactor under both static and stirred conditions. Key experimental observations reveal distinct phase behavior: under static conditions, a continuous CO 2 hydrate membrane with no obvious macroscopic pores is formed, with no visible bubble penetration or membrane surface damage observed, creating significant mass transfer barriers, while the introduction of a gas–liquid phase connecting tube promotes both membrane thickening and bulk hydrate formation. In contrast, stirred systems generate dispersed hydrate particles that exhibit either slurry-type or crystalline morphology. Kinetic analysis shows that, under identical conditions, the hydrate formation conversion rate of stirred systems is twice that of static systems, significantly improving the formation efficiency, and finally, its formation amount is nearly twice that of static systems. For dissociation kinetics, the decomposition rate of stirred systems is twice that of static systems under the same decomposition temperature. At the same decomposition pressure, the decomposition rate of the stirred system is 5 times that of the static system. Dissociation characteristics differ markedly between systems. Static conditions produce membrane sedimentation, while stirred systems show bubble-induced optical clearing. The driving force of static system shows the characteristics of “first rising and then stabilizing at a high level”, while the driving force of the stirred system shows the dynamic characteristics of “sudden rise and decay to stability” and finally achieves system balance. These findings offer valuable insights for advancing CO 2 -hydrate-based technologies in energy and environmental applications.
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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".