Consistent reduced order modeling for wind turbine wakes using variational multiscale method and actuator line model
Why this work is in the frame
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Bibliographic record
Abstract
We present a consistent ALM-VMS-ROM framework for the efficient and accurate reduced-order modeling (ROM) of wind turbine wakes. The method leverages a finite element discretization with a POD-Galerkin approach for constructing ROM. A reduced basis space includes the projection of VMS stabilization terms, ensuring numerical stability without requiring additional stabilization techniques. To further enhance computational efficiency, we implement a mesh-based hyper-reduction technique for predicting the wake behavior behind the NREL 5 MW wind turbine, where the rotor is modeled using the Actuator Line Method (ALM). Using fine-mesh snapshots, the wake dynamics are accurately reconstructed with only 10 POD modes, while employing a coarse mesh in both the reconstruction and prediction phases. The proposed framework achieves a computational speed-up of nearly 13×compared to the fine-mesh full-order model (FOM), while maintaining high accuracy in power production and wake deficit predictions up to 7D downstream.
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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 it