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exergoeconomics compared to a base case. Sayyaadi and Sabzaligol [61] performed an exergoeconomic optimization of a 1000 MW light water nuclear power generation system using a genetic algorithm and considering ten decision variables, and showed that the fuel cost of the optimized system is greater than that for a base case. Shortcomings in the optimized system are compensated by larger monetary savings in other economic sectors. Haseli et al. [62] found the optimum temperatures in a shell and tube condenser with respect to exergy. The optimization problem in that study considered condensation of the entire vapor flow and was solved with sequential quadratic programming (SQP). Saayaadi and Nejatolahi [63] analyzed cooling tower assisted vapor compression refrigeration machines with respect to total exergy destruction rate and total product cost objective functions. They used energy and exergy analyses for the thermodynamic model and incorporated Total Revenue Requirement (TRR) for the economic model. They have optimized the system with respect to single objective thermodynamic, single objective economic and multi- objective criteria. For the multi-objective optimization, they selected final solutions from the Pareto frontier curve. Finally, they compared the results obtained from the three optimizations and calculated that the percentage deviation from ideal results for thermodynamic and economic criteria is 40.09% for thermodynamically optimized system, 82.46 % for economically optimized system and 22.51% for the multi-objective optimized system and therefore determined that the multi-objective optimization satisfies the generalized engineering criteria more than the other two single-objective optimized designs. Ahmadi et al. [64] conducted a comprehensive exergy, exergoeconomic and environmental impact analyses and a multi-objective optimization for combined cycle power plants (CCPPs) with respect to the exergy efficiency, total cost rate and CO2 emissions of the overall plant. They determined that the largest exergy destructions occurred in the CCPP combustion chamber and that increasing the gas turbine inlet air temperatures decreases the CCPP cost of exergy destruction. They derived the expression for the Pareto optimal point curves for the determined exergy efficiency range and concluded that the increase in total cost per unit exergy efficiency is considerably high after exergy efficiencies over 57% and therefore a point below this should be chosen on the Pareto optimal curve. Sayyaadi and Babaelahi [65] analyzed a liquefied natural gas re-liquefaction plant with respect to multi-objective approach which simultaneously considers exergy and exergoeconomic 44PDF Image | Energy Systems for Multigeneration Purposes
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