Exergy and exergoeconomic assessment and multi-objective optimization of a renewable assisted CCHP system

The current study analyzed and optimized a renewable-assisted multi-generation system in energy, exergy,and exergoeconomic. The proposed system is composed of PTCs, a horizontal-axis wind turbine,an organic Rankine cycle, heat recovery heat exchangers, a parallel double-effect LiBr-H2O absorptivechiller, heat recovery heat exchangers, and an electrolyzer. The designed system has been being used forthe simultaneous production of electricity, heating, cooling, and hydrogen. Moreover, a thermodynamicmodel of the defined system has been developed in engineering Equation Solver (EES) software. A GeneticAlgorithm (GA) model was also conducted to find the optimum composition of decision variablesthat efficiently optimize the system performance in terms of cost and exergy. A sensitivity analysis alsohas been applied to measure the effect of decision variables on the exergoeconomic performance of theproposed system. Results show that rising the inlet flow rate and inlet flow temperature to the OrganicRankin Cycle (ORC) turbine has an upward effect on the system’s exergy efficiency and production costrate. In addition, it was found that the increase of the boiler pressure only increases the exergy efficiencyto a certain degree, and the exergy efficiency of the proposed system reduces in the pressures above 2600kPa. With the optimization of the decision variables using a GA model, it was found that there is roomto enhance the exergy exploitation rate by 2.6% and reduce the total rate of the production cost of theproposed system by 12.9%.