Multi-Objective Optimization of a Solar Combined Power Generation and Multi-Cooling System Using CO2 as a Refrigerant

This paper proposes a new combined multi-cooling and power generation system (CMCP) driven by solar energy. Carbon dioxide is used as refrigerant. A parabolic trough collector (PTC) employed to collect radiation convert it into thermal The includes supercritical CO2 for production an ejector refrigeration with two ejectors provide cooling at different evaporating temperatures. CMCP simulated hourly weather conditions Tunisia. PTC mathematical model calculate the heat transfer fluid outlet temperature performance of on specific day year. 1D constant area adopted evaluate performance. system’s evaluated energetic exergetic analysis. importance components determined exergoeconomic modeled using MATLAB software. genetic algorithm multi-objective optimization determine best values solutions design parameters. optimal energy exergy efficiencies were found be 13.7 percent 37.55 percent, respectively, total product unit cost was 31.15 USD/GJ.