Active building-integrated thermal energy
storage (BITES) systems, such as ventilated concrete
slabs, are able to effectively store and release
abundant of thermal energy to assist space
conditioning. Since active BITES systems are
strongly thermal-coupled to the rest of the room, the
desires for comfortable room temperature and
utilization of renewable thermal energy, together with
BITES' large thermal inertia place challenges in the
operation of active BITES systems. With desired
room temperature profiles and corresponding thermal
loads, frequency domain models can readily provide
predictive operation information for the active BITES
systems. This paper will demonstrate the concept,
methodology, and techniques in using frequency
domain models to conduct predictive operations of
active BITES systems. Using frequency domain
models in optimizing the design of active BITES
systems will also be discussed