Performance and wake characteristics of river cross-flow turbine arrays using a simplified numerical model
Bibliographic record
Abstract
A simplified model or Actuator disc (AD) model is often used to simulate a river hydrokinetic turbine instead of using geometry-resolved simulations to reduce computing resources and time requirements. However, it is crucial to specify accurate momentum source terms in the simplified model to accurately produce the drag force and power performance of a turbine, and to produce the proper wake characteristics. Although the AD model works on axial-flow turbines, it is not readily to be applied to crossflow turbines to accurately predict the wake structure. This paper presents the validation of the effective performance turbine model (EPTM), which is a method to simplify numerical representation of cross-flow turbines. The implementation of the EPTM is discussed and comparisons to laboratory results are presented. In addition, the effects of various array configurations and blockage ratios on the wake and power performance were investigated with the goal of providing guidance in laying out hydrokinetic turbine projects in rivers.
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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".