Electrolysis‐enhanced co‐digestion of switchgrass and cow manure
Bibliographic record
Abstract
Abstract BACKGROUND Anaerobic digestion of agricultural wastes is a cost effective way for combining resource recovery and methane production. This paper evaluates the co‐digestion of cow manure and switchgrass in a completely stirred tank reactor ( CSTR ) by the electrolysis‐enhanced anaerobic digestion ( eAD ) process. RESULTS The electrodes for water electrolysis were installed directly in an anaerobic digester and were used to create micro‐aerobic conditions. Significant gains in process performance and biogas quality were obtained at current densities of 20–25 mA (per digester volume) with a corresponding volumetric energy consumption of 0.07–0.08 Wh . In particular, the COD removal rate was increased from 0.6 to 0.9 g COD d ‐1 , methane production increased by 26%, and H 2 S content in the biogas declined from 2500–3000 ppm to less than 10 ppm. CONCLUSIONS The improved performance was achieved due to methane production from hydrolytic H 2 and possibly due to the enhanced hydrolysis of organic matter. © 2013 Her Majesty the Queen in Right of Canada Journal of Chemical Technology & Biotechnology © 2013 Society of Chemical Industry
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".