Predicting Interference Patterns Between Offshore Wind Farms through Wake Analysis
Bibliographic record
Abstract
This research is to characterize the wake effect from a cluster of offshore wind turbines with the purpose of optimizing spacing between separate farms to avoid wake interference. Placing wind turbines within a field of disturbed flow decreases power output, and in some cases, threatens structural integrity. Unsteady loading and fluxes in wind turbine power generation are born out of turbulence and can further lead to a reduction in the overall energy production of a wind farm. As the offshore wind industry exhibits rapid growth, an immediate need for standards that enable optimization of farm placement for offshore development exists. Wake characterization was accomplished in this research through computational fluid dynamics (CFD) modelling. ANSYS CFX was used in this research to simulate the wake produced by offshore wind turbine arrays located near the shores of Main Duck Island in Lake Ontario using full rotor geometry representation. These offshore wind farms are currently in the planning, pre-
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".