IDEAS

Thermally activated building systems (TABS) are gaining attention as a means of realizing comfort and energy efficiency in office spaces. TABS use the building mass for heat dissipation and the storage part of the building to save energy, improve comfort, and shift peak energy consumption. However, the thermal response is slow due to the large thermal capacity.

In a previous study, an optimal control method was proposed for typical office space in hot and humid regions where Thermally Activated Building Systems (TABS) are installed. This method was based on a combination of load prediction, model predictive control, sparse modeling. The cooling capacity and indoor thermal environment were evaluated using computational fluid dynamics analysis and coupled MATLAB/Simulink analysis.