Indoor temperature regulation and energy consumption inside a working office in building system using a predictive functional control

Abstract

ABSTRACT This paper presents a novel control approach for indoor temperature regulation in tertiary buildings, based on predictive functional control. The main control objective is to reduce the energy consumption while ensuring the desired thermal comfort of the occupants. The novelty of this approach may perform in the presence of disturbances such occupancy profile, electrical equipment, indoor temperature, surrounding temperatures and weather data. Predictive functional control algorithm consists in using a dynamic model of the process inside the controller in real time in order to anticipate the future behavior of the system. The proposed method is successfully illustrated using an example of temperature control of a working office which is implemented in the SIMBAD toolbox (SIMulator of Buildings and Devices) integrated into the Matlab/Simulink environment. The proposed control compromises a class of control algorithms that utilizes an online process model to optimize the future response of a plant. The efficiency of the proposed control has been validated using good performance indexes for various scenarios. Simulation results revealed a good level of comfort is ensured with a minimum energy (3.2015 kWh), temperature regulation with a very low error, a high level of comfort is generated in the office room during working hours. Thus, demonstrating the validity and effectiveness of this control strategy.