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Record W2045693687 · doi:10.1243/09576509jpe333

Optimal, robust, and benign horizontal and vertical axis wind turbines

2007· article· en· W2045693687 on OpenAlexaff
S. P. Farthing

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy · 2007
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsRemotely Operated Platform for Ocean Sciences
Fundersnot available
KeywordsWind powerChord (peer-to-peer)Horizontal axisAerodynamicsVertical axisVertical axis wind turbineWind gradientQuartic functionAirfoilMarine engineeringGeologyStructural engineeringEngineeringMathematicsWind profile power lawAerospace engineeringComputer scienceGeometryElectrical engineering

Abstract

fetched live from OpenAlex

The remarkable success of fixed speed and pitch ‘propellers’ in tapping the gusting and shifting wind begs explanation. Glauert's two-dimensional analysis of ‘horizontal axis wind turbines’ was an incomplete aside to aviation propeller theory in 1935, but is now the basis of most ‘Hawt’ algorithms. A very simple windmill optimum is found for his ‘blade element momentum’ theory, even for the movement inclined to the wind in ‘vertical axis wind turbines’. Optimizing the two-dimensional ‘Vawt’ pitch cycles for high speed ratios matches the best Hawt power. Making the optimum ‘robust’ to variation of the wind further discovers a Hawt blade element chord and fixed pitch with a very broad quartic optimum around the design wind and ‘benign’ avoidance of high aerodynamic load coefficients further from it; and finds a fixed cycle of pitching to give a benign quartic Vawt.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.199
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2007
Admission routes1
Has abstractyes

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