Logistic Regression Based Multi-objective Optimization of IAQ Ventilation System Considering Healthy Risk and Ventilation Energy

Till date, conventional indoor air quality (IAQ) ventilation systems have controlled the IAQ using fixed ventilation rate strategy without consideration of ventilation energy consumption and outdoor air quality. In this paper, a multiobjective optimization (MOO) method was used to find optimal set-points of IAQ ventilation system which balance the IAQ improvement and ventilation energy saving, where logistic regression was suggested to classify the current IAQ data with the healthy risk level. The results show that the proposed ventilation system with varying set- points can save the ventilation energy and also improve the IAQ level better than the existing ventilation system.