Preliminary Assessment of Wind Turbine Blade Lift Control via Plasma Actuation
Bibliographic record
Abstract
This paper presents an experimental and computational study to assess the potential of plasma actuators to alter the lift of airfoils in view of controlling the output power of wind turbines under high wind conditions. Plasma actuators are electro-fluidic devices that create a jet adjacent to the surface. The proposed concept involves installing an actuator on the blade suction surface pointing in the upstream direction to induce and control boundary layer separation. Experiments have been carried in a subsonic wind tunnel, at angles of attack (AOA) in the range 0–15°, for velocities of 12.60 and 16.30 m/s, on a 6-inch chord untwisted 2–D blade. The aerodynamic balance force measurements show a reduction of lift coefficient for all the AOA. Flow fields obtained by PIV demonstrate that depending of the AOA, the actuator thickens the boundary layer, induces or amplifies its separation. The CFD simulations reproduce the experimental trends. Thus, plasma actuators are potentially efficient devices for lift control over a wind turbine blade.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".