Wind Turbine Performance under Fluctuating Pressure Gradient of Laminar and Turbulent Air Flows
Bibliographic record
Abstract
This paper puts forward a novel model to evaluate the fluid velocity, power and efficiency of a wind turbine under the fluctuating pressure gradient of laminar and turbulent air flows. The operation parameters of a wind turbine were calculated based on the conservation of momentum, under different velocity profiles, fluctuating amplitudes and wave lengths, revealing the effects of fluctuating air pressure gradient on transient power output of the wind turbine. The effectiveness of the proposed model was verified through evaluation of output power, in comparison with a popular statistical tool. The results show that, whether the flow is laminar or turbulent, the pressure gradient has a positive impact on the output power; the enhancement effect is positively correlated with the fluctuation amplitude, and prominent within the early cycles of fluctuations; for turbulent flow, the more intense the flow, the better the output power.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".