An evaluation of autothermal thermophilic aerobic digestion (ATAD) of municipal sludge in Ireland
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 and a hydraulic retention time of 6–15 days. Organic solids are degraded and the heat released during the microbial degradation maintains thermophilic temperatures. Autothermal thermophilic aerobic digestion can produce a biologically stable product while reducing both sludge mass and volume. The full-scale ATAD facility in Killarney, Ireland, is unique because the feed sludge is blended from three different secondary treatments and there are seasonal fluctuations in hydraulic load. An assessment of the on-site operational and solids data showed that the process operation has improved since commissioning. Total solids reduction increased from 13.7% in 2001 to 39.1% in 2004. Also, despite some operational problems the regulatory target of 38% reduction in volatile solids was achieved. The data fluctuated but the percent reduction in volatile solids increased from 35.6% in 2001 to 49.8% in 2004. This paper compares the process data obtained from the Killarney site with other ATAD facilities operated in Europe and North America. It discusses some of the operational changes employed to deal with process control issues and it presents recommendations for enhanced ATAD process improvement.Key words: autothermal, thermophilic, aerobic, digestion, sludge, biosolids.
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