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Record W2045997135 · doi:10.1002/cjce.22125

Water and nutrients recovering from livestock manure by membrane processes

2014· article· en· W2045997135 on OpenAlexvenueno aff
Séverine Carretier, Geoffroy Lesage, Alain Grasmick, Marc Héran

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsDigestateChemistryAnaerobic digestionReverse osmosisBiogasUltrafiltration (renal)Pulp and paper industryEnvironmental chemistryMembrane foulingManureEffluentMembrane technologyTotal dissolved solidsFiltration (mathematics)FoulingChromatographyMembraneWaste managementEnvironmental engineeringEnvironmental scienceMethaneAgronomyOrganic chemistry

Abstract

fetched live from OpenAlex

Anaerobic digestion (AD) in a biogas plant is a well proven process in which livestock effluents break down naturally in the absence of oxygen to produce two valuable products: biogas and digestate. Three successive steps of membrane separation (UF, NF, RO) were carried out on digestate liquid fractions in order to recover molecules of interest and fresh water. Results demonstrate the capacity of a 300 kD filtration cut‐off to clarify and disinfect anaerobic digestion liquid phase, no suspended solids were detected in the permeate while more than 80 % of organic matters were removed. This clarification step allowed the use of downstream desalinating steps (NF, RO and NF/RO) which contribute to the achievement of fresh water production and ionic compounds of interest (phosphates, ammonium, potassium, magnesium…) concentration. NF and RO step allowed a total discoloration of treated water with a high removal of dissolved organic matter DOM (more than 90 %). The ion retention depends on the considered ion and the origin and composition of UF digestate. Nevertheless, a direct use of High Pressure Reverse Osmosis HPRO downstream UF step allowed an important retention of ions whatever the origin of digestate. The addition of RO downstream the NF step (NF/RO), increased the total salt rejection opening the door to a water reuse on site. The fresh water quality and the RO flux were higher for UF/NF/RO than UF/RO proving the interest for such a UF/NF/RO coupling.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.217

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 head0.005
GPT teacher head0.165
Teacher spread0.161 · 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

Citations32
Published2014
Admission routes1
Has abstractyes

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