MPC

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.

Japan will have to further reduce CO2 emissions to meet its obligations under the Paris Agreement negotiated at the 2015 United Nations Climate Change Conference. Society is increasingly demanding higher energy-efficiency standards and zero-energy buildings because general commercial buildings have high energy costs, especially for air conditioning.

In school and office buildings, the ventilation system has a large contribution to the total energy use. A control strategy that adjusts the operation to the actual demand can significantly reduce the energy use. This is important in rooms with a highly fluctuating occupancy profile, such as classrooms and open offices. However, a standard rule-based control (RBC) strategy is reactive, making the installation 'lag behind' in relation to the demand. As a result, a good indoor climate is not always guaranteed and the actual energy saving potential is lower than predicted.