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Record W2240163490 · doi:10.1109/epec.2015.7379997

Operational modes of hydrogen energy storage in a micro grid system

2015· article· en· W2240163490 on OpenAlexafffund
K.A. Nigim, James McQueen, M. Persohn-Costa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsLambton College
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDispatchable generationModular designController (irrigation)Computer scienceRenewable energyEnergy storageGridIntermittencyWork (physics)Energy (signal processing)Power (physics)Automotive engineeringElectrical engineeringDistributed generationEngineeringMechanical engineeringOperating system

Abstract

fetched live from OpenAlex

The proposed operating modes for hydrogen production from renewable energy sources are presented in this work. The designed system is put together to support the investigation of energy requiremnts in a prelimnary focus on residential application. The sensory components of the controller observe, in real time, the incoming energy changes and compare it with the system demand and level of stored energy. The controller output command selects the most economical and energy efficient mode for effective dispatchable system operation. Instantaneous short term requirements of power are exchanged with the hosting grid to mitigate instantaneous intermittency. The modular concept of the built infrastrcuture enables researchers to test different modes of operation such as a micro grid functionality under various energy supply and load demands. Moreover, the system is designed for use as a testing facility of hydrogen generating units as well as newly designed fuel cells.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.200

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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 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

Citations4
Published2015
Admission routes2
Has abstractyes

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