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Record W7132485810

Performance and wake characteristics of river cross-flow turbine arrays using a simplified numerical model

2021· article· en· W7132485810 on OpenAlexvenueno aff
J. Huang, J. Cousineau, M. Provan, O. Gauvin-Tremblay

Bibliographic record

VenueNPARC · 2021
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsnot available
Fundersnot available
KeywordsWakeTurbineDragActuatorWake turbulencePower (physics)Momentum (technical analysis)Representation (politics)
DOInot available

Abstract

fetched live from OpenAlex

A simplified model or Actuator disc (AD) model is often used to simulate a river hydrokinetic turbine instead of using geometry-resolved simulations to reduce computing resources and time requirements. However, it is crucial to specify accurate momentum source terms in the simplified model to accurately produce the drag force and power performance of a turbine, and to produce the proper wake characteristics. Although the AD model works on axial-flow turbines, it is not readily to be applied to crossflow turbines to accurately predict the wake structure. This paper presents the validation of the effective performance turbine model (EPTM), which is a method to simplify numerical representation of cross-flow turbines. The implementation of the EPTM is discussed and comparisons to laboratory results are presented. In addition, the effects of various array configurations and blockage ratios on the wake and power performance were investigated with the goal of providing guidance in laying out hydrokinetic turbine projects in rivers.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.358

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 head0.020
GPT teacher head0.241
Teacher spread0.221 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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