Numerical Simulation of an Experimental Ocean Current Turbine
Bibliographic record
Abstract
The development of a numeric simulation for predicting ocean current turbine performance is presented in this paper along with performance predictions. This numeric model uses an unsteady blade element momentum (BEM) rotor model to calculate the rotor forces and seven degree-of-freedom (DOF) equations of motion to calculate the coupled effects between the rotor and the main body. For the results presented in this paper, this simulation is set to model a 20-kW experimental ocean current turbine, and performance predictions are made for environmental condition that it will likely operate when deployed in the Gulf Stream off Southeast Florida. This model predicts that this turbine will have a maximum rotor power coefficient of 0.45 and that the vertical current gradient will only minimally affect the system performance. This simulation is also used to quantify the cyclic loadings that will be induced for misalignments between the rotor axis and the incoming flow, and it predicts the system motions and the forces on the rotor when the system is operating in a wave field.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".