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Updated: Mar 6, 2026

09:58
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
Published on: February 3, 2014
8.9K
Modelling turbulent boundary layer flow over fractal-like multiscale terrain using large-eddy simulations and
1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA xiangyang@jhu.edu.
Summary
This study introduces a dynamic model for subgrid-scale roughness in large-eddy simulations (LES) of wind turbines on complex terrain. The model provides resolution-independent results for mean velocity, improving wind energy predictions.
Area of Science:
- Fluid dynamics
- Atmospheric boundary layer modeling
- Renewable energy systems
Background:
- Complex terrain and surface roughness significantly impact wind turbine performance.
- Current large-eddy simulations (LES) struggle to resolve small-scale terrain features, necessitating subgrid-scale models.
- Accurate modeling of ground surface effects is crucial for wind farm design.
Purpose of the Study:
- To develop and validate a dynamic approach for subgrid-scale roughness parametrization in LES.
- To investigate the flow response to multi-scale roughness elements.
- To improve the accuracy of wind energy predictions in complex terrains.
Main Methods:
- Adaptation of a dynamic approach for subgrid-scale roughness parametrization.
- Application to rough surfaces with broad size distributions of cuboidal elements.
- Development of an analytical roughness model incorporating sheltering and shading effects.
Main Results:
- The dynamic roughness model yields resolution-independent mean velocity distributions in LES.
- The analytical roughness model, considering shading and conservation laws, shows good agreement with LES-derived parameters.
- The study demonstrates effective modeling of flow over rough surfaces with multiple scales.
Conclusions:
- The developed dynamic and analytical roughness models enhance LES accuracy for wind turbines on complex terrain.
- These models provide a robust method for accounting for unresolved surface roughness.
- Improved modeling contributes to more reliable wind energy assessments in challenging environments.
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