Abstract
A simplified model based on experimental data has been developed for applications in air-conditioning systems simulations. Cycle thermodynamic relationships, along with experimental data, were used to mathematically model the air-conditioning system. Characteristic parameters of the equipment were determined from the results of a limited number of test points. The following parameters were used: the clearance factor C, the piston displacement PD, the efficiency of the compressor ηcomp, the sensible heat factor SHF and the product of the overall heat transfer coefficient times area (UA) for the heat exchangers. Component performance simulation data was validated using experimental data from a 3-ton air conditioner. The model calculates the following parameters: coefficient of performance (COP), system capacity (qe), system heat rejection (qc), and compressor power (W) at any operating condition. The simulation model consists of work and energy balance relationships for the evaporator, condenser, expansion device, and compressor. The model predicted system heat rejection (qc) and system capacity (qe) within 10% of experimental data. The required compressor power (W) was predicted within 5% of uncertainty. However, the coefficient of performance (COP) had an uncertainty slightly higher than ±13% when compared to experimental data. The simulation model can be used as an effective tool for much faster equipment certification minimizing the required number of testing points.