Thermo-Economic Assessment and Optimization of Actual Heat Engine Performance By Implemention of Nsga Ii

Finding a superior evaluation of an irreversible actual heat engine (irreversible carnot heat engine) can be mentioned as the substantial purpose of this work. the considered criteria are ecological coefficient of performance (ecop), exergetic performance coefficient thermo-economic, ecological-based thermo-economic, and ecologico-economical functions. these criteria are optimized by implementing nsga ii and thermodynamic analysis. the irreversibility of the system is considered for the work assessment, and consequently, two states are specified in the optimization procedure. the findings associated with every scheme are assessed independently. in the first scenario, maximizing the power output, the first law efficiency of the system, and the dimensionless ecological-based thermo-economic function (𝑓𝐸) are set as the target. in the second scenario, the three objective functions power output (𝑊̇), efficiency (𝜂), and dimensionless ecologico-economical (𝑓𝐸𝐶) are simultaneously maximized. to be clear, the coupled multi-objective evolutionary approaches (moeas) and non-dominated sorting genetic algorithm (nsga-ii) approach are presented. comparison of the three prominent approaches linamp, topsis, and fuzzy is performed in decision-making. ultimately, error analysis of the results based on the maximum absolute percentage error is carried out. according to the results obtained, in the first scenario, the appropriate results are the result of the decisions made by topsis and linamp with a deviation index equal to 0.322 from the ideal ratio of this scenario. in the second scenario, the best decision-making results are achieved by the topsis method with a deviation index equal to 0.104 from the ideal state for this scenario.