A state space model of indoor temperature distributions.

To control the indoor thermal environment within the comfortable range, the dynamic temperature distributions and flows of room air must be correctly predicted. While the CFO (Computational Fluid Dynamics) technique can be used to carry out such a prediction task, its drawback is also obvious: too time-consuming. To solve this problem, the dynamic temperature distributions can be predicted with some fixed air flow fields calculated with CFD codes. That is, sacrifice the dynamics of indoor air flows and only preserve the dynamics of the temperature distributions. This paper discusses a state space model that can be used to predict the indoor dynamic temperature distributions. By dividing the room into several air zones and still using the fixed flow field, a much faster dynamic model of the indoor temperature distributions is constructed. This model can be easily used for designing and testing different indoor climate control systems.