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Record W2066176061 · doi:10.1002/ep.10041

Anaerobic treatment of waste beer

2004· article· en· W2066176061 on OpenAlexafffund
Pengjie Li, Catherine N. Mulligan

Bibliographic record

VenueEnvironmental Progress · 2004
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaConcordia University
KeywordsChemical oxygen demandSequencing batch reactorAnaerobic exerciseBioreactorChemistryPulp and paper industryMethaneAnaerobic digestionEnvironmental scienceWaste managementWastewaterEnvironmental engineeringBiology

Abstract

fetched live from OpenAlex

Abstract This research study focused on the biotreatability of waste beer in an anaerobic environment. A comparison of two bioreactors, ASBR (anaerobic sequencing batch reactor) and UASB (upflow anaerobic sludge blanket) reactors, was performed. The experiments were carried out in the two reactors under identical conditions at room temperature and 35° C under organic loading rates (OLRs) from 2 to 20 kg chemical oxygen demand (COD) m −3 day −1 . The results show that the performance in the ASBR was better than that in the UASB reactor without a recirculation system at the two temperatures under all organic loading levels. In the ASBR, soluble COD reductions of 95 to 57% and 93 to 70% were obtained as the OLR increased from 2 to 20 kg COD m −3 day −1 at room temperature and 35° C, respectively. In the UASB reactor without a recirculation system, the soluble COD reduction was 78 to 49% and 80 to 65% under the same increase in OLR as the ASBR at room temperature and 35° C, respectively. Methane production was measured in the ASBR at both temperatures. Results for methane production were close to the expected yields of 0.39 m 3 /kg COD removed for an OLR of 2 to 6 kg COD m −3 day −1 , and lower than the expected values for an OLR of 8 to 20 kg COD m −3 day −1 . Therefore, anaerobic treatment of beer is sustainable by both reactors if the organic load is limited to 6 kg COD m −3 day −1 . 2004 American Institute of Chemical Engineers Environ Prog, 2004

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.186
Teacher spread0.180 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations10
Published2004
Admission routes2
Has abstractyes

Explore more

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