New inflow boundary conditions for modeling twisted wind profiles in CFD simulation for evaluating the pedestrian-level wind field near an isolated building

A. U. Weerasuriya, Z. Z. Hu, X. L. Zhang, K. T. Tse, S. Li, P. W. Chan

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)

Abstract

The hilly topography of Hong Kong influences oncoming winds and gradually changes their wind directions along the profiles' height. The vertical variation in wind directions, or the twist effect, significantly influences the Pedestrian Level Wind (PLW) field in urban areas of Hong Kong, thus it is a topic demanding systematic investigations. In this study, a new set of inflow boundary conditions are proposed to model twisted wind flows in Computational Fluid Dynamic (CFD) simulations. The new inflow boundary condition derived based on the horizontal homogeneous assumption, specifies a vertical profile of lateral wind speeds at the inlet boundary to sustain the twist effect in the empty computational domain. The proposed boundary conditions are used to simulate the PLW fields near three isolated buildings with different Height-to-Width ratio using two CFD codes; OpenFOAM, and FLUENT. The results reveal that OpenFOAM is more reliable in simulating PLW fields in twisted wind flows using the new set of boundary conditions. The three-dimensional flow field provided by the OpenFOAM simulation shows sparse streamlines downstream the buildings, indicating lack of organized eddies in the building far wake, which negatively affects the dispersion of air pollutants in twisted winds.

Original languageEnglish
Pages (from-to)303-318
Number of pages16
JournalBuilding and Environment
Volume132
DOIs
Publication statusPublished - 15 Mar 2018
Externally publishedYes

Keywords

  • CFD
  • Isolated building
  • Pedestrian level wind environment
  • Twisted wind profiles
  • Wind tunnel test

Fingerprint

Dive into the research topics of 'New inflow boundary conditions for modeling twisted wind profiles in CFD simulation for evaluating the pedestrian-level wind field near an isolated building'. Together they form a unique fingerprint.

Cite this