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Record W7132905098

Design and analysis of a small scale wind turbine for use in a remote location

2006· dissertation· W7132905098 on OpenAlexaff
Joseph Garth Bystryk

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsAerodynamicsTurbineWind powerLift (data mining)Finite element methodSmall wind turbineGenerator (circuit theory)Airfoil
DOInot available

Abstract

fetched live from OpenAlex

This thesis is the design and analysis of the three major sub-systems (Aerodynamic, Electromagnetics, and Control System) required for a small scale wind turbine for use in a remote location. The aerodynamics focus on the augmentation of 2D lift and drag data to approximate rotating 3D performance curves. The FX64-137 blade was chosen, with a maximum power coefficient exceeding 26.5. Three iterations were used to design the generator, with experimental results from the Intermediate generator used to predict the performance of the final design. Finite element model results suggest that the Final generator design will be greater than 82% efficient. Computer simulations using results from the aerodynamic and electromagnetic analyses were used to determine the system performance. The standard control with a lowered gain was found to produce the greatest power capture. An augmentation to the standard control provides a method for capturing power safely beyond the rated wind speed.

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 score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.029
GPT teacher head0.290
Teacher spread0.261 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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