Autothermal thermophilic aerobic digestion (ATAD) — Part II: Review of research and full-scale operating experiences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Autothermal thermophilic aerobic digestion (ATAD) is an exothermic process where sludge is subjected to temperatures greater than 55 °C for at least 4 hours, over 6–10 days. Organic solids are degraded and the heat released during the microbial degradation is used to bring the process temperature within the thermophilic range. It produces a biologically stable product, achieving a reduction in biomass, while using smaller digesters, compared to mesophilic aerobic and anaerobic digestion. There are no regulatory requirements in North America and Europe for the reduction of the volume of total solids in sludge processing. However, a reduction in the volume of material for final disposal has cost benefits. By virtue of the residual mass, volume reductions are easily made through dewatering or dehydrating steps following ATAD. Despite the apparent advantages of ATAD, limited information on the process is available in the literature. Concerns still exist about documented cases of odour issues, problems with sludge dewaterability, foaming, excess use of polymers and high-energy consumption. This article presents some relevant bench-scale and pilot ATAD study data, with appropriate discussion. It also assembles information from a range of sources and provides an insight into actual application and experiences with full-scale ATAD.
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.
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 | 0.002 | 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 it