Natural ventilation, which may provide occupants with good indoor air quality and a high level of thermal comfort, and reduce energy costs, has become an important sustainable strategy in building designs. This investigation used three computational fluid dynamics (CFD) models: steady Reynolds averaged NavierStokes equation (RANS) modeling, unsteady RANS modeling, and large eddy simulation (LES) to study both wind-driven and buoyancy-drive natural ventilation. The validation of the CFD models used the experimental data of wind-driven natural ventilation obtained from a wind tunnel with a scaled building model and the data of buoyancy-driven ventilation obtained from a full-scale chamber. LES results seem more accurate and informative than those obtained with the RANS modeling, but with severe penalty in computing time. This investigation has also analyzed turbulence energy spectra of natural ventilation. The peak turbulence energy for wind-driven natural ventilation is at frequencies higher than that for buoyancy driven natural ventilation. Thus, the fluctuating flow field plays a more important role in determining ventilation rate for wind-driven natural ventilation than for buoyancy-driven natural ventilation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.