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Investigation of Diesel Hybrid systems for fuel oil reduction in slow speed ocean going ships

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  • Dedes, Eleftherios K.
  • Hudson, Dominic A.
  • Turnock, Stephen R.

Abstract

The volatile world economy and the adoption of stricter emission policies from the European Union and the International Maritime Organisation greatly affect the shipping industry. This paper is focused on the potential of Diesel Hybrid power systems to increase fuel efficiency for ocean going slow speed ships. Alternatives in on-board energy generation, management and storage strategies are investigated. The mathematical implementation and simulation of the power train components is demonstrated using a systematic approach. Vessel operational profiles were incorporated to the power train optimisation problem. The optimisation scenarios were run using a modified marine power systems version of the Equivalent Cost Minimisation Strategy. The results indicate fuel savings for auxiliary loads as a result of the absence of conversion losses. For the main Diesel hybrid propulsion, the system is deemed infeasible. Nevertheless, for the combined Hybrid power train, the savings are achieved by proper handling of the originated energy from the Main and Auxiliary engines.

Suggested Citation

  • Dedes, Eleftherios K. & Hudson, Dominic A. & Turnock, Stephen R., 2016. "Investigation of Diesel Hybrid systems for fuel oil reduction in slow speed ocean going ships," Energy, Elsevier, vol. 114(C), pages 444-456.
  • Handle: RePEc:eee:energy:v:114:y:2016:i:c:p:444-456
    DOI: 10.1016/j.energy.2016.07.121
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    Cited by:

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    3. Inal, Omer Berkehan & Charpentier, Jean-Frédéric & Deniz, Cengiz, 2022. "Hybrid power and propulsion systems for ships: Current status and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    4. Jeong, Byongug & Oguz, Elif & Wang, Haibin & Zhou, Peilin, 2018. "Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives," Applied Energy, Elsevier, vol. 230(C), pages 1065-1081.
    5. Yupeng Yuan & Tianding Zhang & Boyang Shen & Xinping Yan & Teng Long, 2018. "A Fuzzy Logic Energy Management Strategy for a Photovoltaic/Diesel/Battery Hybrid Ship Based on Experimental Database," Energies, MDPI, vol. 11(9), pages 1-15, August.
    6. Xing, Hui & Spence, Stephen & Chen, Hua, 2020. "A comprehensive review on countermeasures for CO2 emissions from ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Miretti, Federico & Misul, Daniela & Gennaro, Giulio & Ferrari, Antonio, 2022. "Hybridizing waterborne transport: Modeling and simulation of low-emissions hybrid waterbuses for the city of Venice," Energy, Elsevier, vol. 244(PB).
    8. Zhu, Jianyun & Chen, Li & Wang, Xuefeng & Yu, Long, 2020. "Bi-level optimal sizing and energy management of hybrid electric propulsion systems," Applied Energy, Elsevier, vol. 260(C).
    9. 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).

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