MétaCan
Menu
Back to cohort
Record W4412379696 · doi:10.3389/fenrg.2025.1593940

On the outer boundary conditions for the fluid dynamics simulation of vertical-axis turbines

2025· article· en· W4412379696 on OpenAlexafffund
David Wood, Narges Golmirzaee

Bibliographic record

VenueFrontiers in Energy Research · 2025
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsVertical axisDynamics (music)Computational fluid dynamicsMechanicsMolecular dynamicsPhysicsFluid dynamicsBoundary (topology)Environmental scienceMaterials scienceGeometryMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Many computational fluid dynamics simulations of isolated vertical-axis turbines use a 2D, rectangular computational domain and slip or symmetry boundary conditions (BCs) along the domain’s lateral outer boundaries or side walls. These BCs prevent any flux of mass and momentum across the side walls and so can cause the velocity at the domain inlet to be less than the freestream velocity at infinity. With further simplification that the flow is steady, an equation for the difference between these velocities is derived from the impulse form of the axial momentum equation for a control volume that coincides with the outer boundaries. The difference depends on the turbine thrust and the distance to the side walls. Corrections are derived for the power and thrust coefficients for isolated turbines and estimates provided for the domain size needed to reduce the correction to a specified level. When multiple turbines are arranged normally to the flow in close proximity, symmetry or periodic BCs are appropriate, but the difference between the inlet and freestream velocity can be large enough to invalidate recent claims that proximity increases the power output. We argue that both isolated and multiple turbine simulations should use BCs that include a point vortex for consistency with the turbine side force and a point source for consistency with the thrust. Nevertheless, it is not possible to ensure consistency with the moment equation for the control volume, and this may affect the accuracy of the calculated power output.

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: none
Teacher disagreement score0.894
Threshold uncertainty score0.235

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 head0.017
GPT teacher head0.301
Teacher spread0.285 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueFrontiers in Energy ResearchSame topicComputational Fluid Dynamics and AerodynamicsFrench-language works237,207