On flow fluctuation's impact on the performance of vertical axis turbines—A potential flow analysis
Bibliographic record
Abstract
During the last decade, with rapidly increasing deployment of tidal current turbine prototypes in many countries, a number of failures have been reported. Several of these failures were attributed to the intensive flow fluctuation around the device. As a result, designers had to re-design their devices although no initial design stage approach is available yet. In this paper, we derive a formulation to quantify the relationship between the power output fluctuation and the flow fluctuation with a newly defined power fluctuation coefficient. Particularly, it includes various turbine design parameters. It suggests that the turbine fluctuation coefficient is proportional to the solidity and the square root of the tip speed ratio. For a curved-blade turbine, the relationship between the blade span length and the maximum radius is critical. Furthermore, we present a procedure to identify the impact of wake vortices on the turbine blade, from which they shed. The results obtained from both the formulation and the above procedure show good agreement with those obtained from the experimental test and expensive numerical tools, but the current formulation and procedure cost much less. They are expected to provide guidance and assistance to turbine design at the initial design stage and can also be applicable to the vertical axis wind turbine design.
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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 | 0.001 | 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".