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How to achieve energy efficiency and sustainability of large ships: a new tool to optimize the operation of on-board diesel generators

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  • Barone, Giovanni
  • Buonomano, Annamaria
  • Del Papa, Gianluca
  • Maka, Robert
  • Palombo, Adolfo

Abstract

In this paper a novel dynamic simulation model for enhancing the sustainability of transportation systems equipped with diesel co-generators is presented. In each simulation time step of the carried out energy performance analyses, the best operation/combination of generators as well as their optimal part load ratio are determined with the aim to achieve the minimum fuel consumption. Input to the model are: size of each installed diesel generator; number of engines; required power profile; route scheduling and hourly weather data. The developed simulation model is implemented in TRNSYS environment. Here, a new in-house TRNSYS type written in Fortran is also included. With the presented approach - especially helpful for cruise ship designers, manufacturers and owners - new design criteria and useful technical results can be obtained.

Suggested Citation

  • Barone, Giovanni & Buonomano, Annamaria & Del Papa, Gianluca & Maka, Robert & Palombo, Adolfo, 2023. "How to achieve energy efficiency and sustainability of large ships: a new tool to optimize the operation of on-board diesel generators," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223016821
    DOI: 10.1016/j.energy.2023.128288
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    References listed on IDEAS

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    1. Polimeni, Simone & Moretti, Luca & Martelli, Emanuele & Leva, Sonia & Manzolini, Giampaolo, 2023. "A novel stochastic model for flexible unit commitment of off-grid microgrids," Applied Energy, Elsevier, vol. 331(C).
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    6. Barone, Giovanni & Buonomano, Annamaria & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2023. "Towards zero energy infrastructure buildings: optimal design of envelope and cooling system," Energy, Elsevier, vol. 279(C).
    7. Wang, Kai & Xue, Yu & Xu, Hao & Huang, Lianzhong & Ma, Ranqi & Zhang, Peng & Jiang, Xiaoli & Yuan, Yupeng & Negenborn, Rudy R. & Sun, Peiting, 2022. "Joint energy consumption optimization method for wing-diesel engine-powered hybrid ships towards a more energy-efficient shipping," Energy, Elsevier, vol. 245(C).
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    Cited by:

    1. Constantinos Vassiliades & Christos Minterides & Olga-Eleni Astara & Giovanni Barone & Ioannis Vardopoulos, 2023. "Socio-Economic Barriers to Adopting Energy-Saving Bioclimatic Strategies in a Mediterranean Sustainable Real Estate Setting: A Quantitative Analysis of Resident Perspectives," Energies, MDPI, vol. 16(24), pages 1-18, December.
    2. Barone, Giovanni & Buonomano, Annamaria & Kalogirou, Soteris & Ktistis, Panayiotis & Palombo, Adolfo, 2024. "A holistic methodology for designing novel flat plate evacuated solar thermal collectors: Modelling and experimental assessment," Renewable Energy, Elsevier, vol. 232(C).
    3. Maria Cristina Cameretti & Roberta De Robbio, 2024. "Computational and Data-Driven Modeling of Combustion in Reciprocating Engines or Gas Turbines," Energies, MDPI, vol. 17(16), pages 1-5, August.
    4. Tomasz Cepowski & Paweł Kacprzak, 2024. "Reducing CO 2 Emissions through the Strategic Optimization of a Bulk Carrier Fleet for Loading and Transporting Polymetallic Nodules from the Clarion-Clipperton Zone," Energies, MDPI, vol. 17(14), pages 1-30, July.

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