Design of Predictive Control Strategies for Active BITIES Systems Using Frequency Domain Models

Abstract

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.