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 × 103 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.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".