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In this study, a new combined power and refrigeration cycle is proposed,  which combines the Rankine and absorption refrigeration cycles. Using a  binary ammonia-water mixture as the working fluid, this combined cycle  produces both power and refrigeration output simultaneously by employing only  one external heat source. In order to achieve the highest possible exergy  efficiency, a secondary turbine is inserted to expand the hot weak solution  leaving the boiler. Moreover, an artificial neural network (ANN) is used to  simulate the thermodynamic properties and the relationship between the input  thermodynamic variables on the cycle performance. It is shown that turbine  inlet pressure, as well as heat source and refrigeration temperatures have  significant effects on the net power output, refrigeration output and exergy  efficiency of the combined cycle. In addition, the results of ANN are in  excellent agreement with the mathematical simulation and cover a wider range  for evaluation of cycle performance.

Thermodynamic analysis and simulation of a new combined power and refrigeration cycle using artificial neural network