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Wind Resource Assessment: Analysis of the Vortex Bladeless Characteristics in Puerto Cortés, Honduras

2021· article· en· W3180292785 on OpenAlexaboutno aff
Orlando Ordoñez, Alicia María Reyes Duke

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2021
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsnot available
Fundersnot available
KeywordsVortexRenewable energyQuarter (Canadian coin)Resource (disambiguation)Wind powerIncentiveMeteorologyEnvironmental scienceEnvironmental economicsGeographyEngineeringComputer scienceElectrical engineeringEconomicsArchaeology

Abstract

fetched live from OpenAlex

Abstract In the department of Cortés, many cities such as San Pedro Sula and Choloma truly invest in auto consumption installations for the residential and commercial sector; however, Puerto Cortés being one of the most prominent cities in Honduras, currently lacks any incentive of interest from its residents or authorities to implement distributive generation of any kind. Under this criterion, it was sought to study a renewable alternative distinct from solar energy suitable for its implementation in Puerto Cortés; Vortex Bladeless being a new concept in wind energy technology. A technical analysis was performed for the Vortex NANO device in situ to develop projections for a Vortex Tacoma device under the same conditions. The electrical performance of the device, the behavior of the wind resource and the power coefficient (Cp) were determined; analysis and results are based of the collected date on the 3 rd quarter of the year. A demand analysis (load profile) in the residential sector to determine the range covered with one (1) Vortex Tacoma device given its projections.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.207
Teacher spread0.197 · 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 designObservational
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

Citations8
Published2021
Admission routes1
Has abstractyes

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