Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> 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, a split supercritical and a cascade supercritical CO<sub>2</sub> cycle are conducted. The bottoming cycles are coupled with the main two-stroke diesel engine of a 6800 TEU container ship. An economic analysis is...
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2022-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/15/5398 |
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| author | Athanasios G. Vallis Theodoros C. Zannis Evangelos V. Hristoforou Elias A. Yfantis Efthimios G. Pariotis Dimitrios T. Hountalas John S. Katsanis |
| author_facet | Athanasios G. Vallis Theodoros C. Zannis Evangelos V. Hristoforou Elias A. Yfantis Efthimios G. Pariotis Dimitrios T. Hountalas John S. Katsanis |
| author_sort | Athanasios G. Vallis |
| collection | DOAJ |
| description | In the present study, energy and exergy analyses of a simple supercritical, a split supercritical and a cascade supercritical CO<sub>2</sub> cycle are conducted. The bottoming cycles are coupled with the main two-stroke diesel engine of a 6800 TEU container ship. An economic analysis is carried out to calculate the total capital cost of these installations. The functional parameters of these cycles are optimized to minimize the electricity production cost (EPC) using a genetic algorithm. Exergo-economic and exergo-environmental analyses are conducted to calculate the cost of the exergetic streams and various exergo-environmental parameters. A parametric analysis is performed for the optimum bottoming cycle to investigate the impact of ambient conditions on the energetic, exergetic, exergo-economic and exergo-environmental key performance indicators. The theoretical results of the integrated analysis showed that the installation and operation of a waste heat recovery optimized split supercritical CO<sub>2</sub> cycle in a 6800 TEU container ship can generate almost 2 MW of additional electric power with a thermal efficiency of 14%, leading to high fuel and CO<sub>2</sub> emission savings from auxiliary diesel generators and contributing to economically viable shipping decarbonization. |
| first_indexed | 2024-03-09T12:40:46Z |
| format | Article |
| id | doaj.art-5048d4e863fd408b87dc9d2fcd2a25e8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T12:40:46Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5048d4e863fd408b87dc9d2fcd2a25e82023-11-30T22:18:34ZengMDPI AGEnergies1996-10732022-07-011515539810.3390/en15155398Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental AnalysisAthanasios G. Vallis0Theodoros C. Zannis1Evangelos V. Hristoforou2Elias A. Yfantis3Efthimios G. Pariotis4Dimitrios T. Hountalas5John S. Katsanis6Hellenic Navy Fleet, Hellenic Navy, Salamis Naval Base, 18900 Salamis, GreeceNaval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, GreeceLaboratory of Electronic Sensors, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, GreeceMarine and Offshore Science, Technology, and Engineering Centre, Cyprus Marine and Maritime Institute, P.O. Box 40930, Larnaca 6023, CyprusNaval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, GreeceInternal Combustion Engines Laboratory, School of Mechanical Engineering, Thermal Engineering Section, National Technical University of Athens, 15780 Athens, GreeceNaval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, GreeceIn the present study, energy and exergy analyses of a simple supercritical, a split supercritical and a cascade supercritical CO<sub>2</sub> cycle are conducted. The bottoming cycles are coupled with the main two-stroke diesel engine of a 6800 TEU container ship. An economic analysis is carried out to calculate the total capital cost of these installations. The functional parameters of these cycles are optimized to minimize the electricity production cost (EPC) using a genetic algorithm. Exergo-economic and exergo-environmental analyses are conducted to calculate the cost of the exergetic streams and various exergo-environmental parameters. A parametric analysis is performed for the optimum bottoming cycle to investigate the impact of ambient conditions on the energetic, exergetic, exergo-economic and exergo-environmental key performance indicators. The theoretical results of the integrated analysis showed that the installation and operation of a waste heat recovery optimized split supercritical CO<sub>2</sub> cycle in a 6800 TEU container ship can generate almost 2 MW of additional electric power with a thermal efficiency of 14%, leading to high fuel and CO<sub>2</sub> emission savings from auxiliary diesel generators and contributing to economically viable shipping decarbonization.https://www.mdpi.com/1996-1073/15/15/5398waste heat recoverysupercritical cycleCO<sub>2</sub>thermos-economic analysisEPCoptimization |
| spellingShingle | Athanasios G. Vallis Theodoros C. Zannis Evangelos V. Hristoforou Elias A. Yfantis Efthimios G. Pariotis Dimitrios T. Hountalas John S. Katsanis Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis Energies waste heat recovery supercritical cycle CO<sub>2</sub> thermos-economic analysis EPC optimization |
| title | Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis |
| title_full | Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis |
| title_fullStr | Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis |
| title_full_unstemmed | Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis |
| title_short | Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO<sub>2</sub> Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis |
| title_sort | design of container ship main engine waste heat recovery supercritical co sub 2 sub cycles optimum cycle selection through thermo economic optimization with genetic algorithm and its exergo economic and exergo environmental analysis |
| topic | waste heat recovery supercritical cycle CO<sub>2</sub> thermos-economic analysis EPC optimization |
| url | https://www.mdpi.com/1996-1073/15/15/5398 |
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