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Record W2159285614 · doi:10.1109/59.910793

Simulation of the start-up of a Hydro Power plant for the emergency power supply of a nuclear power station

2001· article· en· W2159285614 on OpenAlexaff
D. Lindenmeyer, A. Moshref, M.C. Schaeffer, A. Benge

Bibliographic record

VenueIEEE Transactions on Power Systems · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsPowertech Labs (Canada)University of British Columbia
Fundersnot available
KeywordsExciterEngineeringNuclear power plantEmtpPower stationPower (physics)Nuclear powerElectrical engineeringElectricity generationElectric power systemRotor (electric)TurbineAutomotive engineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

A hydro power plant and a nuclear power plant's auxiliaries are modeled using the Electromagnetic Transients Program (EMTP). The computer models allow for the simulation of a hydro generator start-up and the following energization of a nuclear power station's auxiliary motors under off-nominal voltage and frequency conditions. The paper describes the derivation of generator, turbine, exciter, and induction motor models, and their individual validation through field measurements. The complete power system model is verified by comparing simulation results to measurements, as obtained during an Engineered Safeguards Functions (ESF) test of the emergency power system of Oconee nuclear power plant.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.967

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)0.0330.000

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 head0.017
GPT teacher head0.263
Teacher spread0.247 · 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 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

Citations20
Published2001
Admission routes1
Has abstractyes

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