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Record W2956550132 · doi:10.21608/iceeng.2008.34304

An experimental model of fuel cell/microturbine generation scheme

2008· article· en· W2956550132 on OpenAlexaff
Mervat M. Soliman, M. Safiuddin

Bibliographic record

VenueThe International Conference on Electrical Engineering/The International Conference on Electrical Engineering · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsFuel cellsScheme (mathematics)Automotive engineeringComputer scienceEnvironmental scienceEngineeringMathematicsChemical engineering

Abstract

fetched live from OpenAlex

In this paper a dynamic and steady state model of a distributed generation scheme ispresented. Both the dynamic and steady state results of the simulation model areverified with those obtained from a laboratory prototype and the results showed a closeagreement. The experimental model was designed to supply isolated loads as well as inparallel with the grid.The proposed system consists of a microturbine driving a Permanent MagnetSynchronous Generator (PMSG). The ac power generated from the PMSG is rectifiedand, along with a Fuel Cell, is connected to the dc-link. A PWM inverter delivers acpower to the load.The laboratory prototype uses a dc motor as the prime mover for a separately exciteddc generator representing the fuel cell, while the microturbine is modeled using a shuntdc motor as the prime mover for a three phase PMSG.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.050
GPT teacher head0.276
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2008
Admission routes1
Has abstractyes

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