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Record W2296183968 · doi:10.1115/imece2015-52074

Numerical Investigation of Actuator Disc Thickness Effect on Predicting the Performance and Far Wake of the Horizontal Axis Wind Turbine

2015· article· en· W2296183968 on OpenAlexaff
Ali Behrouzifar, Masoud Darbandi, G. E. Schneider

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsUniversity of Waterloo
FundersSharif University of Technology
KeywordsWakeTurbineAerodynamicsActuatorSolverWork (physics)GridWind powerConstant (computer programming)MechanicsWind speedComputational fluid dynamicsComputer scienceMarine engineeringControl theory (sociology)SimulationAerospace engineeringEngineeringPhysicsGeologyMechanical engineeringMeteorologyElectrical engineeringGeodesy

Abstract

fetched live from OpenAlex

In this paper, the actuator disk (AD) method is used to simulate the wind turbine performance and far-wake behavior. In this work, we incorporate the AD method with an axisymmetric full Navier-Stokes solver. In other words, the calculated AD load is suitably distributed on the disc to impose the aerodynamic forces acting on the blade. One important factor among various different factors, which affect the AD modeling prediction considerably, is the utilized grid thickness. In this work, we first choose the grid thickness recommended by the other researches and study the actual thickness of NREL 5MW wind turbine. Next, many other configurations are considered in our AD thickness modeling including a constant thickness and the actual thickness configurations. The latter one has a linear thickness distribution from 3.54 m at the root to 0.7 m at tip. The wind speed is ranged from 3 to 11 m/s consistent with the practical tests performed on the NREL 5MW wind turbine. We calculate the generated power for all the simulated configurations and their percentages of differences. The results show that the lowest difference is about 4.5% for a constant AD thickness of 0.2 m. Therefore, we conclude that the current AD model predicts results very close to the NREL design data. Additionally, this accurate prediction is similarly observed in the other ranges of wind turbine operational speeds.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.156

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 head0.010
GPT teacher head0.205
Teacher spread0.194 · 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 designObservational
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

Citations3
Published2015
Admission routes1
Has abstractyes

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