A holistic framework to utilize natural ventilation to optimize energy performance of residential high-rise buildings

A. U. Weerasuriya, Xuelin Zhang, Vincent J.L. Gan, Yi Tan

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)

Abstract

A novel holistic framework was established using Building Information Modelling (BIM) to estimate accurately the potential of natural ventilation of residential high-rise buildings. This framework integrates Computational Fluid Dynamics (CFD) simulation, multi-zone-air-flow modelling, and Building Energy Simulation (BES) to calculate ventilation rates under the mechanisms of wind-, buoyancy- and wind and buoyancy-driven ventilation. The framework was applied to a 40-storey residential building in Hong Kong for estimating the potential of natural ventilation in residential high-rise buildings. The results show that the building can save up to 25% of the electricity consumption if the building employs wind-driven natural ventilation instead of mechanical ventilation. The electricity consumption can be further reduced up to 45% by facilitating the buoyancy-driven natural ventilation. However, natural ventilation is found to be effective only if the temperature difference between indoor and outdoor is less than 2 °C. The study suggests to orienting residential high-rise buildings at an oblique angle with the prevalent wind direction than positioning perpendicular to the prevalent wind direction. Furthermore, the framework recommends promoting the wind-driven natural ventilation at top floors of residential high-rise buildings and to facilitate wind and buoyancy-driven natural ventilation at middle and lower floors of the buildings.

Original languageEnglish
Pages (from-to)218-232
Number of pages15
JournalBuilding and Environment
Volume153
DOIs
Publication statusPublished - 15 Apr 2019
Externally publishedYes

Keywords

  • Building information modelling
  • Computational fluid dynamics
  • Energy efficiency
  • High-rise buildings
  • Natural ventilation

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