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Wai Chi Cheng

Cette personne a quitté l’EPFL

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Publications associées (5)

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A Simple Physically-Based Model for Wind-Turbine Wake Growth in a Turbulent Boundary Layer

Fernando Porté Agel, Wai Chi Cheng

The growth rate of wind-turbine wakes in the atmospheric boundary layer is a key parameter in analytical models used to predict wind-turbine wakes and their effects in wind farms. To date, the turbine-wake growth rate is determined empirically, owing to ou ...

2018

A Simple Mixing-Length Model for Urban Canopy Flows

Fernando Porté Agel, Wai Chi Cheng

Urban canopy models (UCMs) developed based on Prandtl mixing-length theory provide a simple method for predicting urban flows. In the existing models, the Prandtl mixing length and the sectional drag coefficient of buildings are usually assumed to be unifo ...

SPRINGER2021

Adjustment of Turbulent Boundary-Layer Flow to Idealized Urban Surfaces: A Large-Eddy Simulation Study

Fernando Porté Agel, Wai Chi Cheng

Large-eddy simulations (LES) are performed to simulate the atmospheric boundary-layer (ABL) flow through idealized urban canopies represented by uniform arrays of cubes in order to better understand atmospheric flow over rural-to-urban surface transitions. ...

Springer2015

Large-eddy simulation of flow and scalar dispersion in rural-to-urban transition regions

Fernando Porté Agel, Wai Chi Cheng

Large-eddy simulations (LES) are performed to simulate the flow and scalar transport in rural-to-urban transition regions. The LES framework is first validated with wind-tunnel experimental data of scalar dispersion within and above a staggered array of cu ...

Elsevier2016

Evaluation of subgrid-scale models in large-eddy simulation of flow past a two-dimensional block

Fernando Porté Agel, Wai Chi Cheng

Large-eddy simulations of flow past a two-dimensional (2D) block were performed to evaluate four sub-grid-scale (SGS) models: (i) the traditional Smagorinsky model, (ii) the Lagrangian dynamic model, (iii) the Lagrangian scale-dependent dynamic model, and ...

Elsevier2013