Numerical prediction of air flow within street canyons based on different two-equation k-ε models

Afiq Witri Muhammad Yazid, Nor Azwadi Che Sidik, Salim Mohamed Salim, Nur Hamizah Mohamad Yusoff

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Numerical simulations on airflow within street canyons were performed to investigate the effect of the street aspect ratio and wind speed on velocity profiles inside a street canyon. Three-dimensional Standard, Renormalization Group (RNG) and Realizable k-ε turbulence model are employed using the commercial CFD code FLUENT to solve the Reynolds-averaged Navier-Stokes (RANS) equations. A comparison of the results from the presently adopted models with those previously published demonstrated that the k-e model is most reliable when simulating wind flow. The model is then employed to predict the flow structures in a street canyon for a range of aspect ratios (building height to street width ratio) between 0.5-2 at Reynolds number of 9000, 19200 and 30700 corresponding to the ambient wind speeds of 0.68m/s, 1.46m/s and 2.32m/s respectively. It is observed that the flow structure in the street canyon is influenced by the buildings aspect ratios and prevailing wind speeds. As the street aspect ratio increases, the air ventilation within the canyon reduces. © Published under licence by IOP Publishing Ltd.
Original languageEnglish
JournalIOP Conference Series: Materials Science and Engineering
Volume50
Issue number1
DOIs
Publication statusPublished - 2013
Event2nd International Conference on Mechanical Engineering Research - Pahang, Malaysia
Duration: 1 Jul 20134 Jul 2013

Keywords

  • Air ventilation
  • Building height
  • Numerical predictions
  • Prevailing winds
  • Renormalization group
  • Reynolds averaged Navier Stokes (RANS)equations
  • Street canyon
  • Velocity profiles
  • Air
  • Aspect ratio
  • Computational fluid dynamics
  • Computer integrated manufacturing
  • Flow structure
  • Mechanical engineering
  • Navier Stokes equations
  • Reynolds number
  • Statistical mechanics
  • Turbulence models
  • Wind effects
  • Numerical models

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