Bibliographic record
Abstract
With the increasingly strict pollutant emission standards of natural gas industrial boilers, it is difficult to meet the existing demand by adopting one single technology to control pollutant emissions. In order to improve the combustion thermal efficiency and control pollutant emissions, this paper proposes a co-production scheme of natural gas oxy-fuel humidified combustion and replacement of natural gas hydrate (NGH) with flue gas based on the combined technical route of oxy-fuel combustion, humidified combustion and low NOx combustion. Through the numerical simulation of natural gas premixed steam combustion, the optimum steam premixed ratio is determined to be Rf=0.33. On this basis, the effects of different flue gas recirculation ratios and excess air coefficients on natural gas humidified combustion characteristics and pollutant emission characteristics are analyzed to obtain the optimal working conditions. After one flue gas recirculation, the energy return on investment(EROI) of direct replacement mining NGH is 7.5, meaning it has an actual exploitation value.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
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".