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Record W2002316245 · doi:10.1260/0309-524x.37.6.617

Effects of Wind Turbine Rotor Modelling on Nacelle Anemometry

2013· article· en· W2002316245 on OpenAlexfundno aff
Khaled Ameur, Christian Masson

Bibliographic record

VenueWind Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsNacelleTurbineAnemometerActuatorRotor (electric)Reynolds-averaged Navier–Stokes equationsTurbulenceMechanicsWakeWind speedWind powerMarine engineeringEnvironmental sciencePhysicsAerospace engineeringEngineeringControl theory (sociology)MeteorologyComputer scienceMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

A numerical analysis of the flow near the nacelles of two wind turbines is performed through 3D RANS simulations with the k-ω sst turbulence model. The rotor is modeled using three approaches: two techniques based on the actuator disk and one based on the actuator line. The effects of the rotor representation on the predicted flow at the location of the nacelle anemometer are quantified. In general, agreement with measurements is better for the actuator line than the actuator disk which tends to underestimate the wind speed in the very near wake. At low wind speeds, the three rotor modelling techniques predict nearly identical nacelle transfer functions; differences appear at higher wind speed where the the actuator line is slightly better compared to the other techniques.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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