A Review of Numerical Simulation as a Precedence Method for Prediction and Evaluation of Building Ventilation Performance

Ardalan Aflaki, Masoud Esfandiari, S. Mohammadi

Research output: Contribution to journalReview articlepeer-review

16 Citations (Scopus)
71 Downloads (Pure)

Abstract

Natural ventilation has been used widely in buildings to deliver a healthy and comfortable indoor environment for occupants. It also reduces the consumption of energy in the built environment and dilutes the concentration of carbon dioxide. Various methods and techniques have been used to evaluate and predict indoor airspeed and patterns in buildings. However, few studies have been implemented to investigate the relevant methods and tools for the evaluation of ventilation performance in indoor and outdoor spaces. The current study aims to review available methods, identifying reliable ones to apply in future research. This study investigates scientific databases and compares the advantages and drawbacks of methods including analytical models, empirical models, zonal models, and CFD models. The findings indicated the computational fluid dynamics (CFD) model is the most relevant method because of cost-effectiveness, informative technique, and proficiency to predict air velocity patterns and ratios in buildings. Finally, widely used CFD codes and tools are compared considering previous studies. It is concluded the application of codes for research is subject to the complexity and characteristics of a studied model, the area and field of study, the desired turbulence model, and the user interface.
Original languageEnglish
Article number12721
Number of pages18
JournalSustainability
Volume13
Issue number22
DOIs
Publication statusPublished - 2021

Keywords

  • Analytical models
  • Computational fluid dynamics (CFD) models
  • Experimental models
  • Numerical discretization methods
  • Wind-driven ventilation
  • Zonal models

Fingerprint

Dive into the research topics of 'A Review of Numerical Simulation as a Precedence Method for Prediction and Evaluation of Building Ventilation Performance'. Together they form a unique fingerprint.

Cite this