Performance evolution of industrial radiant syngas cooler with radiation screens using numerical simulation
Bibliographic record
Abstract
Abstract Radiant syngas cooler (RSC) is an important piece of equipment for heat recovery and steam generation in the gasification plant. In this work, the industrial RSC model of an opposed multi‐burner coal‐water‐slurry gasification device is established, and the heat recovery performance of RSC is studied by numerical simulation method. The simulation result of the total heat transfer rate is compared with the industrial operation data. The effect of different operating parameters on RSC is further studied, including the operating load, inlet syngas temperature, and ash deposition thickness. The results show that there is a spindle‐shaped high‐temperature zone on the circumferential membrane wall surface with a distance of 6.5 m from the top under the basic operating conditions. There is also an obvious high‐temperature zone in the mid‐upper section of the fire side for the radiation screen. When the operating load decreases from 100% to 60%, the outlet syngas temperature decreases by 167 K, and the steam output decreases by 22%. The influence of inlet syngas temperature on outlet syngas temperature and steam output is approximately linear. For every 10 K drop of inlet syngas temperature, the outlet syngas temperature decreases by 10 K, and the steam output decreases by 0.91 × 10 3 kg/h. With the increase of the ash deposition thickness, the surface temperature and heat flux of the water wall rise and the outlet syngas temperature increases, while the steam output decreases. The research provides guidance for the design and stable operation of RSC in the radiation‐quenching gasification process.
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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 | 0.001 |
| 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".