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Record W7165827817

Simulation-based design of a bipolar membranes electrodialysis unit for chemicals productionfrom brines

2022· book-chapter· en· W7165827817 on OpenAlexaff
Giovanni Virruso, Andrea Culcasi, Andrea Cipollina, Alessandro Tamburini, Giorgio Micale

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2022
Typebook-chapter
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsElectrodialysisEnvironmentally friendlyEnergy consumptionHydrochloric acidMembrane technologyMembraneRaw materialSodium hydroxideEnergy recoveryAcid gas
DOInot available

Abstract

fetched live from OpenAlex

Nowadays environmental concerns are modifying the production and consumption patterns used so far. An important objective to improve our society is the use of sustainable processes that can reduce industrial waste streams. Bipolar membranes electrodialysis (EDBM) is an emerging environmentally friendly process that could be easily integrated into a circular economy approach to valorize waste brines. It is an electro-membrane process that allows the production of chemicals using only water, electrical energy and a salty solution. When electric current is applied to the electrodes of the EDBM stack, water dissociation takes place in the bipolar membranes. Therefore, the ions from water are combined with those coming from the salt generating acid and base. The increasing interest in the EDBM process requires appropriate design procedures. This study proposed a simulation-based design of a EDBM unit for the production of hydrochloric acid and sodium hydroxide from sodium chloride solution. The design was performed in terms of configuration and operational conditions. A model, realized by Culcasi et al. [1], was used to describe the EDBM process’s behaviour. This model was validated with experimental data so that a high quality design could be achieved. This procedure was used to design a EDBM unit that will be part of the demo-plant of the Horizon 2020 Water-Mining project.

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)0.010
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.009
Science and technology studies0.0010.005
Scholarly communication0.0050.021
Open science0.0060.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.061
GPT teacher head0.293
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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