Abstract
The purpose of this study is to investigate the contribution of each factor to the indoor climate. In the last part (part 1) of this research, the indoor humidity environment was treated as a linear summation of the contribution of each factor, which could cause an increase or decrease of humidity to the indoor environment. Then new indices were proposed as CRI(H)1,2,3 by means of Computational fluid dynamics (CFD) simulation. This paper, as a follow-up of this research, presents a long-range prediction in a model living room while moisture-conditioning material is arranged in order to control indoor humidity. In details, a coupled simulation based on the steady-state flow field is performed in which contribution ratio of indoor climate (CRI(C)) and contribution ratio of indoor Humidity (CRI(H)) are employed. Furthermore, the simulation results are compared with those of a previous uniform model and CFD transient analysis of indoor temperature and humidity in order to confirm the effectiveness of these approaches.
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