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Record W2038673964 · doi:10.1109/iecon.2012.6389169

An improved maximum power extraction scheme for microbial fuel cells

2012· article· en· W2038673964 on OpenAlexaff
Samareh Attarsharghi, L. A. Woodward, Ouassima Akhrif

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsMicrobial fuel cellMaximum power principleControl theory (sociology)Fuel cellsOperating pointProcess engineeringPower (physics)WastewaterElectricity generationComputer scienceEnvironmental scienceBiochemical engineeringEnvironmental engineeringEngineeringControl (management)Chemical engineeringElectronic engineeringElectrical engineeringVoltageArtificial intelligence

Abstract

fetched live from OpenAlex

Microbial fuel cell (MFC) is a recent technology of producing bioelectricity from wastewater by using bacteria as catalyst in the oxydo-reduction reaction. Because of the biological nature of MFC, the level of delivered electrical power is greatly affected by the operating conditions. In order to extract the maximum produced power, extremum-seeking control (ESC) methods are used to keep MFC working at its optimal operating point. As the ESC scheme is based on a feedback control loop, its performance can be limited in presence of high frequency disturbances. In this paper a method is proposed to improve the performance of the well-known perturbation method in presence of frequent variations of the inlet substrate concentration which is considered here as a disturbance for the MFC.

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 categoriesInsufficient payload (model declined to judge)
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 score0.173
Threshold uncertainty score0.994

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.235
Teacher spread0.226 · 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.

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

Citations7
Published2012
Admission routes1
Has abstractyes

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