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Record W2060073266 · doi:10.1260/0309-524x.34.4.389

Response of a Vertical Axis Wind Turbine to Time Varying Wind Conditions Found within the Urban Environment

2010· article· en· W2060073266 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWind Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTurbineWind speedAerodynamicsWind profile power lawVertical axis wind turbineEnvironmental scienceWind tunnelWind powerMeteorologyWind directionWind gradientMarine engineeringPhysicsMechanicsEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

Experimental testing of a vertical axis wind turbine within the urban environment was used to assess the effects that unsteady wind conditions have on the aerodynamic performance of the turbine. Temporal variation of the wind with respect to the direction and velocity fluctuations was quantified and the corresponding performance of the experimental turbine was compared to the base case wind tunnel performance. Theoretical analysis indicated that the performance of the turbine should depend on wind speed fluctuations, while remaining relatively independent of direction fluctuations. Experimental testing confirmed the independence of the direction fluctuations and quantified the impact of the wind speed fluctuations on the turbine performance. The wind speed fluctuations ( I v = based on a 10 s averaging interval) exhibited minimal impact on the performance for I v < 0.15, while for greater fluctuations the performance decreased with a roughly linear relationship with increasing I v .

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.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.198
Teacher spread0.192 · 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