Exergoeconomic optimization of a forward feed multi-effect desalination system with and without energy recovery

The escalating freshwater demand is stimulating the researchers to optimize performance of desalination technologies. current study presents exergoeconomic optimization a forward feed multi-effect (FF-MED) system under two configurations i.e., conventional MED and with energy recovery (MED-ER). A detailed numerical model concerning energy, exergy, component-based analysis employed estimate consumption, exergy destruction, water production cost. Thereafter, FF-MED-ER optimized using Genetic Algorithm for four different objective functions maximum gain output ratio (GOR), minimum specific consumption (SEC), constraint variables included steam temperature, brine salinity, last effect temperature. showed that incorporation an section increased GOR by 17.9% decreased SEC cost 14%, 10.5%, respectively. Moreover, improved 9.26%, 12.86%, destruction 12.59%, 8.25% compared standard nonoptimal system.