Anaerobic digestion of poultry manure: Process optimization employing struvite precipitation and novel digestion technologies
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
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/kgVS in ) 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/m 3 •day) during semi‐continuous digestion, 1.5 kg VS/m 3 •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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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 | 0.001 |
| 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