Energy-Exergy–Economic (3E) -Optimization Analysis of a Solar System for Cooling, Heating, Power, and Freshwater Generation System for a Case Study Using Artificial Intelligence (AI)

In this research, analysis of a cogeneration system harnessing solar energy with the purpose producing electricity and freshwater is carried out. A parabolic trough collector (PTC), reverse osmosis (RO) desalination steam Rankine cycle are considered as primary modules system. Optimization conducted on basis Non-Dominated Sorting Genetic Algorithm II (NSGA-II), while Engineering Equation Solver (EES) used to cope presented thermodynamic model. Sensitivity different key parameters including pump turbine efficiencies, inlet pressures, evaporator pinch point temperature and, finally, radiation calculated. location high potential selected explore feasibility installing designed The case study results show that maximum level production happens during June July due an increased sunlight ambient temperature. Annual distilled water 260,847.6586 MW 73,821.34 m3 calculated, respectively. Furthermore, optimum regarding cost rate exergy efficiency were found be 35.26 $/h 12.02%,