Abstract
The current investigation is focused on the analysis of indoor air quality characteristics of an air-conditioned car using multi-objective genetic algorithm (MOGA) approach. The conditioned space was selected, and the experiments were planned as per design of experiments to study the effect of human load, fresh air supply and air velocity on the human comfort conditions. The nonlinear regression models were developed to predict the comfort conditions, namely temperature, CO2 level and relative humidity over a specified range of input conditions. The optimum values of indoor air quality responses like Carbon dioxide level below 1,000 ppm, temperature less than 26°C and relative humidity below that of 60% were predicted for input conditions using MOGA in this present investigation.
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