Treatment of wastewater from syngas wet scrubbing: Model‐based comparison of phenol biodegradation basin configurations
Bibliographic record
Abstract
Abstract A treatment process for the biological removal of phenol from wastewater generated from the wet scrubbing of syngas is discussed with the objective of reducing Hydraulic Retention Time (HRT) for the process. In phenol biodegradation, a major challenge is posed by the inhibitory effect of high inlet phenol concentrations on the functioning of degrading microorganisms, leading to excessively high HRT values. This study provides a theoretical insight on the effect of reactor configuration and operation mode on the residence time for high strength phenolic wastewaters. Two pre‐treated wastewater streams mainly contaminated with phenol, with different flow rates and phenol concentrations, have been considered for evaluation in this work. Various configurations to remove phenol have been studied and compared. The kinetics in the reactors have been estimated using the Haldane‐Andrews equation for a variety of microorganisms. The configurations which require minimum residence time for a given extent of phenol biodegradation are those employing two reactors in series with a certain reflux stream. Gulosibacter sp. YZ4 is found to be the most effective microorganism in removing phenol within the minimum retention period.
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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 | 0.000 |
| 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".