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Record W1973080963 · doi:10.1115/imece2010-39995

Experimental Investigation of Power Density Enhancement for a Small Wind Turbine Augmented With a Novel Deflector

2010· article· en· W1973080963 on OpenAlexafffund
Mehrzad Tabatabaian, Stuart B. Goodwin

Bibliographic record

VenueVolume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B · 2010
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsBritish Columbia Institute of Technology
FundersWestern Economic Diversification CanadaBritish Columbia Institute of Technology
KeywordsTurbineWind speedWind powerWind tunnelDuct (anatomy)Marine engineeringPower densityPower (physics)Environmental scienceAirflowFlow (mathematics)Automotive engineeringMechanicsElectrical engineeringEngineeringMeteorologyPhysicsAerospace engineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper explains a novel concept for wind power density enhancement through the use of specially shaped static wind deflector structures. The design and fabrication of the deflectors and the experimental results are explained. The general wind enhancement concept is further divided into two separate but related versions. The first deflector version discussed herein is a closed or constrained-flow device proposed for energy recapture from industrial-scale ventilation exhaust air. The second deflector version discussed herein is an open or unconstrained-flow device proposed for low wind velocity (< 4 m/s) applications and thus offers potential for wind power generation in built-up urban environments. Experiments associated with the two design adaptations were performed on a test-duct and in a wind tunnel, respectively. The test results showed velocity increases (factors of 3 and 1.7 respectively). The test-duct results for the constrained-flow device also showed turbine power output enhancement by a factor of approximately 20. Neglecting other losses, such a ratio would provide a theoretical power improvement of about 5 times over the base flow velocity. The term Wind Powered Deflector (WPD) was coined to describe the devices discussed herein.

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 categoriesMeta-epidemiology (narrow)
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 score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.011
GPT teacher head0.214
Teacher spread0.203 · 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.

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
Published2010
Admission routes2
Has abstractyes

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Same venueVolume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and BSame topicWind Energy Research and DevelopmentFrench-language works237,207