Early-design optimization of target ventilation rates for hybrid buildings using single-node analytical model

Abstract

This manuscript presents an early-design methodology that identifies actionable design goals that maximize the effectiveness of natural ventilation in hybrid buildings. These design goals are presented using a compactness factor, recommended thermal mass area and target air change rates per hour (ACH) to maintain thermal comfort preferences of occupants. This approach will enable the consultant to explore viable design options that satisfy the identified design goals, such as optimum opening size based on the target ACH when wind and buoyancy ventilation forces are available, or incorporating fan-assisted ventilation when natural ventilation is not sufficient. The method implements a single-node transient, analytical model using non-geometric mathematical representations of building parameters defined in a python routine.