MétaCan
Menu
Back to cohort
Record W4233214910 · doi:10.5194/wes-2020-110

Investigating the loads and performance of a model horizontal axiswind turbine under IEC extreme operational conditions

2020· preprint· en· W4233214910 on OpenAlexafffund
Kamran Shirzadeh, Horia Hangan, Curran Crawford, Pooyan Hashemi Tari

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsUniversity of VictoriaWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTowerTurbineWind shearInflowTransient (computer programming)Horizontal axisMarine engineeringEnvironmental scienceWind powerStructural engineeringWind speedEngineeringMeteorologyAerospace engineeringComputer sciencePhysics

Abstract

fetched live from OpenAlex

Abstract. The power performance and loading dynamic responses of a 2.2 m scaled horizontal axis wind turbine (HAWT) under the IEC 61400-1 transient operational extreme conditions were investigated. Extreme wind shears (EWS) and extreme operational gust (EOG) inflow conditions, generated in the WindEEE dome at Western University. The global forces were measured by a multi axis force balance at the HAWT tower base. The unsteady horizontal shear induced a significant yaw moment on the rotor with similar dynamic loads as the extreme event with no serious effect on the power generation. The EOG severely affected all the performance parameters of the turbine which were highly dependent on the operational TSR and the time duration of the event.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.532

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 head0.059
GPT teacher head0.251
Teacher spread0.193 · 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 designSimulation or modeling
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

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same topicWind Energy Research and DevelopmentFrench-language works237,207