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Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO 2 Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exergo-Environmental Analysis

Author

Listed:
  • Athanasios G. Vallis

    (Hellenic Navy Fleet, Hellenic Navy, Salamis Naval Base, 18900 Salamis, Greece)

  • Theodoros C. Zannis

    (Naval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, Greece)

  • Evangelos V. Hristoforou

    (Laboratory of Electronic Sensors, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Elias A. Yfantis

    (Marine and Offshore Science, Technology, and Engineering Centre, Cyprus Marine and Maritime Institute, P.O. Box 40930, Larnaca 6023, Cyprus)

  • Efthimios G. Pariotis

    (Naval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, Greece)

  • Dimitrios T. Hountalas

    (Internal Combustion Engines Laboratory, School of Mechanical Engineering, Thermal Engineering Section, National Technical University of Athens, 15780 Athens, Greece)

  • John S. Katsanis

    (Naval Architecture and Marine Engineering Section, Hellenic Naval Academy, End of Hatzikiriakou Ave., 18539 Piraeus, Greece)

Abstract

In the present study, energy and exergy analyses of a simple supercritical, a split supercritical and a cascade supercritical CO 2 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 2 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 2 emission savings from auxiliary diesel generators and contributing to economically viable shipping decarbonization.

Suggested Citation

  • Athanasios G. Vallis & Theodoros C. Zannis & Evangelos V. Hristoforou & Elias A. Yfantis & Efthimios G. Pariotis & Dimitrios T. Hountalas & John S. Katsanis, 2022. "Design of Container Ship Main Engine Waste Heat Recovery Supercritical CO 2 Cycles, Optimum Cycle Selection through Thermo-Economic Optimization with Genetic Algorithm and Its Exergo-Economic and Exer," Energies, MDPI, vol. 15(15), pages 1-30, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5398-:d:872106
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    References listed on IDEAS

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