Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO2 Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis

In the present study, energy and exergy analyses of a simple supercritical, split supercritical cascade CO2 cycle are conducted. The bottoming cycles coupled with main two-stroke diesel engine 6800 TEU container ship. An economic analysis is carried out to calculate total capital cost these installations. functional parameters optimized minimize electricity production (EPC) using genetic algorithm. Exergo-economic exergo-environmental conducted exergetic streams various parameters. A parametric performed for optimum investigate impact ambient conditions on energetic, exergetic, exergo-economic key performance indicators. theoretical results integrated showed that installation operation waste heat recovery in ship can generate almost 2 MW additional electric power thermal efficiency 14%, leading high fuel emission savings from auxiliary generators contributing economically viable shipping decarbonization.