Indoor air quality control for energy-efficient buildings using CO2 predictive model

In this paper, an intelligent control system for indoor air quality in energy-efficient buildings is proposed. The goal of intelligent air quality control for energy-efficient buildings is to maintain the indoor CO₂ concentration in the comfort zone with a minimum amount of energy consumption. In this study, the CO₂ concentration is used as the indicator of indoor air quality and a CO₂ predictive model is utilized to forecast the indoor CO₂ concentration. Particle swarm optimization (PSO) is applied to derive the optimal ventilation rate. As compared with the traditional ON/OFF ventilation control system, the performance of the proposed intelligent control system has demonstrated its advantage in terms of energy savings. A case study and corresponding simulation results are detailed in the paper.