Moisture prediction for aircraft cabin based on lumped virtual moisture source

Thermal and moisture conditions are the main environmental factors affecting cabin comfort for domestic and international routes. Therefore, it is important to study and obtain these dynamical change characteristics during a cruise time. Based on the measurement and analytical results for domestic and international flights, a prediction method of moisture is discussed to predict its changing trend accurately. This method introduces a lumped virtual moisture source (LVMS) term into the moisture transport model in order to improve the prediction accuracy of moisture during a cruise flight and its parameters are identified by using the measured data. The LVMS term reflects the absorption-desorption processes of all interiors materials integrally with a simple lumped equation. The research result shows that the prediction method of humidity could agree well with the measured data and reflect the flight characteristics of different types of aircraft and different flight profiles. This work could provide some reference for the design and control of the thermal and humidity environment in the civil aircraft cabin.