Experimental Validation Through a Parallel Computation Algorithm for Evaluation Uncertainty of the Mathematical Model of Direct Expansion Solar Assisted Heat Pump

This paper presents the development of a mathematical model for direct-expansion solar-assisted heat pump (DX-SAHP) operating in steady-state. The was implemented using scientific software EES and code written Python. It utilized lumped parameter exchangers semi-empirical compressor. validated experimental data DX-SAHP running with R134a. Two hundred simulations were made combining different correlations estimating convective transfer coefficient evaporator/collector. Mean Absolute Deviation (MAD) (MD) between theoretical values COP 2.6±1.8 % 0.9±1.8 %, respectively. MAD MD discharge temperature 1.56±0.16 -1.45±0.16 %. mean difference results Python 1.4 use parallel computing uncertainty analyses, reduced simulation time 88 if compared EES. is available as open-source through platform Google Colaboratory.