Bibliographic record
Abstract
Oxy-fuel combustion technology has become one of the most likely CCUS technologies to achieve large-scale commercial promotion and industrial application because of its remarkable energy-saving effect, low relative economic cost, easy industrialization and many other advantages. Different from traditional air combustion, oxy-fuel combustion technology uses pure oxygen and circulating flue gas as combustion-supporting medium to increase the volume concentration of CO₂ in the exhaust gas to over 90%, which can be directly condensed and compressed to obtain liquid CO₂, thus avoiding expensive separation process, so as to realize the permanent storage or resource utilization of CO₂. In order to optimize the oxy-fuel combustion technology, a humidified oxygenated combustion technology combined with the oxy-steam combustion technology is proposed, which can significantly improve the combustion rate, combustion efficiency and the cycle thermal efficiency, promote the complete combustion reaction, and effectively reduce the emission level of pollutants (NOx and soot). In this work, the combustion characteristics and the generation of main pollutants of steam premixed CH₄ in O₂/CO₂ atmosphere were analyzed by numerical simulation. A new clean combustion method was proposed to study the effects of single variable steam premixed ratio Rf (values 0, 0.1, 0.2, 0.3, 0.4 and 0.5) on the combustion flow field distribution, combustion components distribution and pollutant concentration distribution, by changing the mass fraction of water vapor at mass-flow-inlet while ensuring the methane mass flow rate was fixed. The results showed that with the increase of Rf, combustion reaction rate and combustion reaction efficiency increased and the pollutant emissions decreased, which fully reflected the superiority of steam injection combustion. Based on the simulation results, the optimum atmosphere of methane premixed water vapor was 81% CH₄/19% H2O. Efficient and energy-saving steam premixed CH₄ combustion in O₂/CO₂ atmosphere and flue gas waste heat deep cascade utilization process was proposed, which provided a new idea for the future development of combustion technology.
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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".