Ventilation flow structure and high-precision ventilation network model

Abstract

Understanding of ventilation flow structure is important to utilize the cross-ventilation for improving indoor environment in hot and humid rooms. The pressure loss at the opening depends on the contraction of ventilation air flow and on static pressure loss consumes for the production of turbulent kinetic energy. The local dynamic similarity model (LDSM) is capable to predict the ventilation flow rate with better accuracy. LDSM has superiority over the conventional orifice flow model when discharge coefficients decreased due to changes of wind directions. A simulation study by the ventilation network model is described for performing on cooling loads in a detached house using by active operation of windows.