Aerostructural Shape Optimization of Wind Turbine Blades Considering Site-Specific Winds
Bibliographic record
Abstract
The global installed capacity of wind energy has been increasing steadily over the past decade, and the price of electricity derived from it has been continuously declining. While viable siting locations with with high quality wind resources still exist, improved turbine technology and cost reductions can expand the number of locations that are economically viable. This paper investigates the multidisciplinary nature of wind turbine design as it applies to turbine blades. The goal is to reduce the end unit cost of electricity, amortized over the turbine lifetime, for a particular location. A multidisciplinary design feasible (MDF) approach is used for solving the optimization problem. The blade aerostructural analysis couples a quasi-3D aerodynamic analysis | performed using a blade element momentum theory (BEM) method | with a six degree of freedom beam nite element model of the internal spar. Sensitivities for both the aerodynamic and structural analysis are computed using the complex step method. Finally, multipoint optimization of a small 5.0kW xed pitch \urban wind turbine is performed based on the local wind velocity histograms.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".