We developed an unsteady computational simulation tool that sequentially inputs the calculated heat load to a heat source model to determine the coefficient of performance (COP) and power consumption of air conditioners. The accuracy of the energy consumption prediction was improved by incorporating the air-conditioning model into the coupled calculation of energy simulation and computational fluid dynamics as well as reproducing the behaviour of equipment efficiency. We conducted a comparative study in an office with a partition in the centre to investigate the effects of short circuits and heat accumulation. The experiments indicated a difference between the bulk temperature of the space and the input air humidity of the air conditioner of ∼2.0°C and 2.5 g/kg (DA), respectively. The coupled analysis confirmed that the power consumption of the bulk temperature/humidity input was ∼100 W and the COP error was ∼2, while the suction temperature/humidity input had high accuracy.
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