Empirical modeling of room air conditioners for building energy analysis

Abstract Four room air conditioners were empirically modeled in order to predict the total cooling capacity, the sensible cooling capacity and the Energy Efficiency Ratio (EER) of each appliance in various environment psychrometrics conditions. The mathematical correlations obtained were written in terms of room air wet-bulb temperature and outdoor-side dry-bulb temperature. The use of these correlations allows predicting building energy consumption, electric power demand and equipment performance characteristics for a wide range of outdoor-side dry-bulb and room-side wet-bulb temperatures. The experimental data, from which the correlations were created, were obtained in calorimeters according to ISO standard. The calorimeters and associated measurement uncertainties are discussed in the present work. Moreover, a mathematical model to integrate to the air conditioning models with a building simulation code is also presented and a simulation sample is carried out showing energy consumption and room air temperature and relative humidity.