EA 3D-DDES Numerical Simulation of Jet Blowing as a Power Enhancement Technique Applied to a Wind Turbine with S809 Profile
Bibliographic record
Abstract
The aerodynamic performance of the NREL Phase VI wind turbine is investigated through the use of the blade element momentum (BEM) theory and computational fluid dynamics (CFD).The baseline configuration, consisting of an S809 airfoil, is modified to employ trailing edge blowing technology, an active circulation control technique known as Coanda Jet.Calculations are performed via 3D Delayed Detached Eddy Simulation (DDES) to solve the three-dimensional flow structures over the airfoil correctly.A preliminary campaign of simulations is first conducted for a wide range of angles of attack from α = 0° to α = 20° on an airfoil with chord c = 0.482 m with a wind speed equal to 29.3 m/s, which corresponds to the chord at 75% of the blade radius and the relative wind velocity it experiences respectively.Results are confronted with experiments to validate the model.Once mesh fidelity is proven, five different radial positions along the blade are considered and simulations are performed with and without jet blowing to prove its efficiency.Results show that lift and thrust force both increase, enhancing net power generated by the wind turbine, which is calculated via BEM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".