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Record W2101046219 · doi:10.1109/iecec.1990.747953

Aerodynamics Of The Savonius Rotor: Experiments And Analysis

2005· article· en· W2101046219 on OpenAlexaff
V. J. Modi, M. S. U. K. Fernando, N.J. Roth

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAerodynamicsRotor (electric)Wind tunnelWind powerParametric statisticsComputer scienceVisualizationTurbineMarine engineeringEngineeringSimulationAerospace engineeringMechanical engineeringElectrical engineeringMathematics

Abstract

fetched live from OpenAlex

An approach to the design of the Savonius rotor based wind energy operated irrigation system is described with appropriate references cited for further details. In the beginning, results of the extensive wind tunnel test program are presented which assess parametric influence and arrive at an optimum con figuration. This is followed by typical results with a prototype during field tests to help evaluate effectiveness of the design. Finally, a numerical analysis of the associated aerodynamics using the boundary element method is undertaken. A flow visualization study complemented the test program. Results suggest that power coefficient of the optimized configuration can be as high as 0.32. Capability to self-start at a relatively low speed, high efficiency, and simple economic design makes the system quite attractive.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.114

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

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