Anaerobic digestion of poultry manure: Process optimization employing struvite precipitation and novel digestion technologies
Bibliographic record
Abstract
Solid‐state anaerobic digestion (SSAD) of poultry manure is assessed utilizing a combination anaerobic leaching bed (ALBR)/plug‐flow digester. Struvite precipitation is employed concurrently with digestion to control total ammoniacal nitrogen (TAN) and prevent inhibition of methanogenic archaea. Struvite precipitation reactions are performed at a pH of 7.0 to minimize microbiological stress when leachate is returned to the digester. Results demonstrate an increase in biogas yield of 30% (470 ‐ 607 L/kgVSin) during batch digestion trials and up to 235% during semi‐continuous trials, when employing struvite precipitation methodologies. Methane content of the biogas is also shown to increase significantly (P < 0.05) when employing struvite precipitation. Of the three organic loading rates assessed (1.5, 3.0, 4.5 kg VS/m3•day) during semi‐continuous digestion, 1.5 kg VS/m3•day is shown to be the most efficient, with respect to biogas yield. © 2016 American Institute of Chemical Engineers Environ Prog, 36: 73–82, 2017
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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 | 0.001 | 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".