Numerical Study of Thermal Behavior of a Wind Turbine Nacelle Operating in a Nordic Climate
Bibliographic record
Abstract
This article presents a numerical method for investigating the thermal behavior of a wind turbine nacelle operating in a Nordic climate. External air flow around the nacelle and rotor as well as internal air flow through the nacelle are described using the Reynolds-averaged Navier-Stokes equations. The energy equation is used to account for heat transfer effects. The standard k − ε model is chosen for the closure of time-averaged turbulent flow equations. The rotor is modeled using the actuator-disk concept. An unstructured control-volume finite-element method is employed to solve the resulting governing equations. This article focuses on the effects of external air temperature, wind velocity, and the heat rate released by an electrical generator on the spatial distribution of the temperature inside the nacelle. It is found that, to maintain an acceptable temperature level within the nacelle during summer, the amount of air mass rate flowing through the nacelle should be adjusted properly as a function of wind velocity and external temperature. During winter, the nacelle should be well insulated and the air should be well stirred to obtain nearly uniform temperature distribution within the nacelle.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".