IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223024854.html
   My bibliography  Save this article

Power plant design for all-electric ships considering the assessment of carbon intensity indicator

Author

Listed:
  • Gallo, Marco
  • Kaza, Daniele
  • D’Agostino, Fabio
  • Cavo, Matteo
  • Zaccone, Raphael
  • Silvestro, Federico

Abstract

The design and management of a ship power system determine the amount of CO2 emitted during the ship operations. Recently, the International Maritime Organization has introduced the Carbon Intensity Indicator to limit the environmental impact of ships, pushing designers to define new solutions to reduce polluting emissions. The proposed methodology allows to estimate the environmental performances of a ship during the preliminary design phase, starting from the mission analysis. The tool simulates different power plant configurations, including diesel generators with different type of fuels, battery energy storage systems, fuel cells and hydrogen storage systems. Each source is modelled in the quasi-dynamic domain, where a set of selected state variables is taken into account. The load is derived from the ship mission profile through a stochastic process that considers the ship speed. Different power management strategies are tested to exploit the various resources while maximizing the operating condition requirements. A set of key performance indicators, such as the CO2 emissions, the weight, and volume of the equipment, allows to compare the various power plant configurations so that the preliminary design solution can be identified.

Suggested Citation

  • Gallo, Marco & Kaza, Daniele & D’Agostino, Fabio & Cavo, Matteo & Zaccone, Raphael & Silvestro, Federico, 2023. "Power plant design for all-electric ships considering the assessment of carbon intensity indicator," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024854
    DOI: 10.1016/j.energy.2023.129091
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223024854
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129091?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fan, Ailong & Wang, Junteng & He, Yapeng & Perčić, Maja & Vladimir, Nikola & Yang, Liu, 2021. "Decarbonising inland ship power system: Alternative solution and assessment method," Energy, Elsevier, vol. 226(C).
    2. Balcombe, Paul & Staffell, Iain & Kerdan, Ivan Garcia & Speirs, Jamie F. & Brandon, Nigel P. & Hawkes, Adam D., 2021. "How can LNG-fuelled ships meet decarbonisation targets? An environmental and economic analysis," Energy, Elsevier, vol. 227(C).
    3. Ma, Yan & Hu, Fuyuan & Hu, Yunfeng, 2023. "Energy efficiency improvement of intelligent fuel cell/battery hybrid vehicles through an integrated management strategy," Energy, Elsevier, vol. 263(PE).
    4. Huang, Yuqing & Lan, Hai & Hong, Ying-Yi & Wen, Shuli & Fang, Sidun, 2020. "Joint voyage scheduling and economic dispatch for all-electric ships with virtual energy storage systems," Energy, Elsevier, vol. 190(C).
    5. Bolbot, Victor & Trivyza, Nikoletta L. & Theotokatos, Gerasimos & Boulougouris, Evangelos & Rentizelas, Athanasios & Vassalos, Dracos, 2020. "Cruise ships power plant optimisation and comparative analysis," Energy, Elsevier, vol. 196(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hao Jin & Xinhang Yang, 2023. "Bilevel Optimal Sizing and Operation Method of Fuel Cell/Battery Hybrid All-Electric Shipboard Microgrid," Mathematics, MDPI, vol. 11(12), pages 1-16, June.
    2. Purnell, K. & Bruce, A.G. & MacGill, I., 2022. "Impacts of electrifying public transit on the electricity grid, from regional to state level analysis," Applied Energy, Elsevier, vol. 307(C).
    3. Si, Yupeng & Wang, Rongjie & Zhang, Shiqi & Zhou, Wenting & Lin, Anhui & Zeng, Guangmiao, 2022. "Configuration optimization and energy management of hybrid energy system for marine using quantum computing," Energy, Elsevier, vol. 253(C).
    4. Xie, Peilin & Tan, Sen & Bazmohammadi, Najmeh & Guerrero, Josep. M. & Vasquez, Juan. C. & Alcala, Jose Matas & Carreño, Jorge El Mariachet, 2022. "A distributed real-time power management scheme for shipboard zonal multi-microgrid system," Applied Energy, Elsevier, vol. 317(C).
    5. Perčić, Maja & Vladimir, Nikola & Fan, Ailong, 2021. "Techno-economic assessment of alternative marine fuels for inland shipping in Croatia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    6. Baccioli, Andrea & Liponi, Angelica & Milewski, Jarosław & Szczęśniak, Arkadiusz & Desideri, Umberto, 2021. "Hybridization of an internal combustion engine with a molten carbonate fuel cell for marine applications," Applied Energy, Elsevier, vol. 298(C).
    7. Andrea Frazzica & Marco Manzan & Valeria Palomba & Vincenza Brancato & Angelo Freni & Amedeo Pezzi & Bianca M. Vaglieco, 2022. "Experimental Validation and Numerical Simulation of a Hybrid Sensible-Latent Thermal Energy Storage for Hot Water Provision on Ships," Energies, MDPI, vol. 15(7), pages 1-23, April.
    8. Tian, Ying & Han, Jin & Bu, Yu & Qin, Chuan, 2023. "Simulation and analysis of fire and pressure reducing valve damage in on-board liquid hydrogen system of heavy-duty fuel cell trucks," Energy, Elsevier, vol. 276(C).
    9. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    10. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).
    11. Bakar, Nur Najihah Abu & Bazmohammadi, Najmeh & Çimen, Halil & Uyanik, Tayfun & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Data-driven ship berthing forecasting for cold ironing in maritime transportation," Applied Energy, Elsevier, vol. 326(C).
    12. Dawid Jozwiak & Jayakrishnan Radhakrishna Pillai & Pavani Ponnaganti & Birgitte Bak-Jensen & Jan Jantzen, 2021. "Optimising Energy Flexibility of Boats in PV-BESS Based Marina Energy Systems," Energies, MDPI, vol. 14(12), pages 1-24, June.
    13. Xie, Cheng & Huang, Liwen & Wang, Rui & Deng, Jian & Shu, Yaqing & Jiang, Dan, 2022. "Research on quantitative risk assessment of fuel leak of LNG-fuelled ship during lock transition process," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    14. Sogut, M. Ziya, 2023. "A comparative analysis of a dry bulk carrier's fuel preference in terms of entropy and environmental sustainability," Energy, Elsevier, vol. 275(C).
    15. Mohamed, Mohamed A. & Chabok, Hossein & Awwad, Emad Mahrous & El-Sherbeeny, Ahmed M. & Elmeligy, Mohammed A. & Ali, Ziad M., 2020. "Stochastic and distributed scheduling of shipboard power systems using MθFOA-ADMM," Energy, Elsevier, vol. 206(C).
    16. Charilaos Christodoulou Raftis & Thierry Vanelslander & Edwin van Hassel, 2023. "A Global Analysis of Emissions, Decarbonization, and Alternative Fuels in Inland Navigation—A Systematic Literature Review," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    17. Nur Najihah Abu Bakar & Josep M. Guerrero & Juan C. Vasquez & Najmeh Bazmohammadi & Yun Yu & Abdullah Abusorrah & Yusuf A. Al-Turki, 2021. "A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside," Energies, MDPI, vol. 14(23), pages 1-31, November.
    18. Wang, Yuan & Ren, Jing-Jie & Bi, Ming-Shu, 2023. "Analysis on the heat transfer performance of supercritical liquified natural gas in horizontal tubes during regasification process," Energy, Elsevier, vol. 262(PA).
    19. Zeng, Xianyang & Tan, Zhijia & Zhang, Ming & Wang, Tingsong, 2024. "Scrubber installation of inland container ships: Discrepancy between government and carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    20. Yan, Xinping & He, Yapeng & Fan, Ailong, 2023. "Carbon footprint prediction considering the evolution of alternative fuels and cargo: A case study of Yangtze river ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024854. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.