exergy-economic-environment optimization of the waste-to-energy power plant using multi-objective particle-swarm optimization (mopso)

This paper brings together the benefits of the results of exergy, exergoeconomic, exergoenvironmental analysis, and ‎optimization for a waste-to-energy (wte) power plant. initially, exergoeconomic balances for each stream were ‎calculated. for validating the current simulations, the actual data of the amsterdam wte power plant in working ‎conditions were examined. moreover, the behaviors of the influential parameters on the objective functions were ‎evaluated. in order to perform multi-objective optimization, the multi-objective particle-swarm optimization‎ ‎‎(mopso) algorithm is implemented. to obtain optimum operating conditions, 14 design parameters, and 3 ‎objective functions are considered, while the total cost rate, total exergy efficiency of the cycle, and environmental ‎impacts are the objective functions. finally, the topsis decision-making method determined optimum-operating ‎conditions. the results of exergy analysis indicated that the most exergy destruction belonged to the incinerator unit ‎at 66%. instead, the pumps contributed the least in this field, (approximately 1%). because of the optimization ‎process, the total exergy efficiency of the power plant increased from 30.89% to 38.9% while the total cost rate was ‎‎5188.05 usd/hour. by comparison between the obtained results from the optimization procedure, introducing ‎optimum working conditions has caused an increase in exergy efficiency and reduced exergy destruction for ‎components.