MétaCan
Menu
Back to cohort
Record W2155925949 · doi:10.1109/ccece.2009.5090311

Design and development of hybrid vertical axis turbine

2009· article· en· W2155925949 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsTurbineVertical axis wind turbineMarine engineeringRotor (electric)Wind powerWells turbineLift (data mining)EngineeringMechanical engineeringTurbine bladeComputer scienceElectrical engineering

Abstract

fetched live from OpenAlex

Power from wind or water current can be extracted using a horizontal or vertical axis turbine. Vertical axis turbines are capable of extracting power from wind or water current regardless of the direction of flow. A hybrid turbine consists of two types of turbines on a same shaft. Such a design exploits good features of two turbines. This paper presents the design of a hybrid turbine based on a straight bladed Darrieus (lift type) turbine along with a double step Savonius (drag type) turbine. Four bladed Darrieus rotor is placed on top of a Savonius rotor. The hybrid vertical axis turbine has much better self-starting characteristics and better conversion efficiency at higher flow speeds. The hybrid turbine is built and tested in variable speed water currents. This turbine design can also be used as a wind turbine. This paper presents the system design and performance test results of the hybrid turbine. The designed hybrid vertical axis turbine will be used to generate power at the sea floor for an instrumentation system.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.214

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 head0.019
GPT teacher head0.221
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

Quick stats

Citations46
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicWind Energy Research and DevelopmentFrench-language works237,207