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Record W7120632747

Study of the inclusion of compartments in canadian model digesters

2012· dissertation· pt· W7120632747 on OpenAlexaboutno aff
Matias Marchesan De Oliveira

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2012
Typedissertation
Languagept
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsnot available
Fundersnot available
KeywordsBiogasAnaerobic digestionBiogas productionRenewable energyWork (physics)BioenergyBiofuelWaste treatment
DOInot available

Abstract

fetched live from OpenAlex

The piggery for many years was characterized as a waste-generating activity of high polluter, but in recent decades many studies are responsible for changing this concept. The use of biodigester is well disseminated to lessen the impacts generated by this activity, gaining encouragement deployment in recent years, by encouraging the use of renewable energy. The biodigester is responsible for the production of biogas used as alternative energy on farms that have the digesters system. We observed few studies that investigate the geometry of the digesters and its effects on anaerobic digestion process. This work aimed to study the partitioning of the Canadian model digester anaerobic digestion of swine waste applied to evaluating the degradation (removal) of the physic-chemical parameters (temperature, pH, COD, BOD5, total nitrogen, total phosphorus, total solids, total fixed solids and total volatile solids), and determining a kinetic model describing the biogas produced in each of the compartments of the digesters. For the study were built three reactors in bench scale: the first with a partitioning which caused variation of the horizontal flow, the second with partitioning which flux change generated in the vertical and third, without fragmentation, to be used as a reactor testimony. The analyzes of the physicchemical parameters were made according to Standard Methods for the Examination of Water and Wastewater, since the determination of the kinetic model was done considering the existence of a plug flow (tubular reactor) to each of the reactors constructed and to qualification of biogas was use a gas chromatograph. On the analysis of physic-chemical was second reactor (flow variation vertically) that showed that showed a significant difference in the efficiency of COD removal and pH values, and this reactor also showed better removal of solids and BOD5. Already temperature, showed similar behavior in the three reactors, characterizing the anaerobic digestion occurred primarily in the mesophilic range. Considering the BOD5 as a substrate was obtained as rate constant 0.021 d-1, 0.025 d-1 and 0.024 d-1, respectively for the first, second and third reactor. However, considering the COD as a substrate was obtained 0.032 d-1, and 0.034 d-1, 0.027 d-1 for each of the reactors. Kinetic models had a higher correlation with the experimental data when considering the COD as substrate, and was the second reactor with the highest correlation (R2 = 0.599). In the evaluation of biogas the three reactors not showed difference between them.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.795

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.251
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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