Anaerobic co-digestion of hydrothermal liquefaction of aqueous phase with municipal sludge and dewatering centrate
Bibliographic record
Abstract
For integrating hydrothermal liquefaction (HTL) of sludge treatment to municipal wastewater treatment plants, this study demonstrated the feasibility of thermophilic (55 °C) anaerobic co-digestion of liquid product of HTL (HTL aqueous) with municipal sludge and its dewatering centrate. Seven semi-continuously fed digesters were operated for a total of 420 days. To obtain an optimal mixing ratio of the HTL aqueous with other co-substrates, a wide range of parameters were tested on influent and effluent of the digesters with 0.0%-43.3% of the chemical oxygen demand (COD) loading rate of the co-digesters contributed by HTL aqueous. HTL aqueous was generated from mixed sludge (20% total solids) at 350 °C, 170 bar, and 20 min retention time. Thermophilic co-digesters with HTL aqueous contributing to 12.0%, 23.1%, and 43.3% of the total COD load were fully inhibited after 42, 29, and 15 days, respectively, while co-digesters with 1.21% and 2.74% of total COD contribution by HTL aqueous operated without any inhibition over 180 days. Biogas production in the co-digester with 4.89% COD contribution from HTL aqueous was also inhibited after 95 days of operation. This co-digester experienced a complete process failure for 42 days, followed by 218 days of partial (76%) steady inhibition before fully recovered. This indicates that thermophilic cultures can acclimatize to inhibitors in HTL aqueous to a certain extent. High levels of nitrogen heterocyclic compounds, such as pyridines and pyrazines, in HTL aqueous were determined to be the cause of inhibition in co-digesters fed with high volume of HTL aqueous. This study demonstrated the feasibility of valorizing HTL aqueous from mixed sludge in thermophilic co-digesters with a COD contribution as high as 4.89% from HTL aqueous.
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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) | 0.000 | 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 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".