Compare three different algorithms (MOPSO, SPEA2, NSGA-II) for Multi Objective Optimization of a novel Combined Cooling, Heating, and Power (CCHP) system based on organic Rankine cycle

Recently Debates about Energy and the issue of global warming have led to the use of new energy. One of the best options for this purpose is the use of a new hybrid system of power, heating and refrigeration, with its thermal source of solar and geothermal energy. In the present study, used a combined cooling, heating and power system based on the organic Rankine cycle and the Ejector Refrigeration subsystem, which utilizes solar energy to supply energy and for pre-heating used the geothermal energy, proposed for supply cooling energy, heat energy and electrical power for the building in the south of the Iran (Behbahan city). In this proposed system, used the copper oxide/water nano-fluids in the flat plate solar collector, and used the R245fa, R123, R134a, and R600a in the CCHP system have been investigated as operating fluid. By analyzing the thermodynamic and thermos-economic sensitivity of the whole system, the effect of the volume fraction of the nanoparticle volume concentration CuO, the turbine inlet pressure, the solar collector surface, the solar collector tilt angle and the temperature difference of the steam generator pinch point checked for the four desired target functions (daily heat efficiency, Daily exergy efficiency, total heat exchanger surface, and total cost of the product). we found that the R123 fluid is the best refrigerant from the perspective of energy and exergy (maximum thermal and exergy efficiency) and the R600a refrigerant has the lowest level of heat exchangers and the best fluid from the economic point of view (minimum cost of total products).