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Record W1964788108 · doi:10.1061/40734(145)32

Numerical Modeling Study of Cooling Water Recirculation

2004· article· en· W1964788108 on OpenAlexaffabout
Jianhua Jiang, David B. Fissel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsASL Environmental Sciences (Canada)
Fundersnot available
KeywordsEnvironmental scienceWater coolingJet (fluid)Water circulationHeat transferMechanicsHydrology (agriculture)MeteorologyGeologyGeotechnical engineeringEngineeringPhysicsMechanical engineeringGeomorphology

Abstract

fetched live from OpenAlex

A three-dimensional, finite difference coastal circulation numerical model, ASL-COCIRM, was adapted to examine the possible recirculation of cooling water in the Burrard Generating Station, Canada. The model resolved the near-field zone of the cooling water buoyant jet and intake using a very fine grid size (2.5 m by 2.5m in the horizontal), which allowed the cooling water outlet pipe and intake to be represented in a realistic manner. The near-field model was then nested within the large model domain of the far-field zone of cooling discharge receiving water. Model calibration and verification results demonstrate that the model has the capability of adequately capturing the overall behavior of the buoyant jet and quantitatively investigating the waste heat recirculation into the intake and the consequent effect on the efficiency of power plants.

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 score0.307
Threshold uncertainty score1.000

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)0.0010.000

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 head0.041
GPT teacher head0.260
Teacher spread0.220 · 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

Citations1
Published2004
Admission routes2
Has abstractyes

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