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Study on Performance Promotion of Lift Type Wind Turbine

2014· article· en· W1984740357 on OpenAlexfundno aff
Zhen Zhao, Tong Guang Wang, Jing Ru Chen, Bo Feng Xu

Bibliographic record

VenueAdvanced materials research · 2014
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaFoundation Research Project of Jiangsu ProvinceBasic Research Program of Jiangsu ProvinceNational Research Council Canada
KeywordsVertical axis wind turbineWells turbineTurbineTorqueLift (data mining)Marine engineeringEngineeringTurbine bladeWind directionStructural engineeringMechanical engineeringWind speedMeteorologyComputer sciencePhysics

Abstract

fetched live from OpenAlex

In order to increase the performance of lift-type wind turbine, at the minimal torque value area, two interfere air flow is used to rebuilding the air flow. Based on multiply stream-tubes model, the effect of interfere air on promotion performance of blade element are studied. the results prove the interfere air method does greatly arise the torque, the attack angle of blade element at 0°~15 and 165°~180°azimuth angle, and promote the torque of single blade wind turbine with two or three blades. The paper provides a new way for vertical axis wind turbine designing and application.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.377

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 head0.053
GPT teacher head0.336
Teacher spread0.282 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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