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Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas

Author

Listed:
  • Mohsen Banaei

    (Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, Iran)

  • Fatemeh Ghanami

    (Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 91775-1111, Iran)

  • Mehdi Rafiei

    (Department of Engineering, Aarhus University, 8200 Aarhus, Denmark)

  • Jalil Boudjadar

    (Department of Engineering, Aarhus University, 8200 Aarhus, Denmark)

  • Mohammad-Hassan Khooban

    (Department of Engineering, Aarhus University, 8200 Aarhus, Denmark)

Abstract

All-electric ships, and especially the hybrid ones with diesel generators and batteries, have attracted the attention of maritime industry in the last years due to their less emission and higher efficiency. The variant emission policies in different sailing areas and the impact of physical and environmental phenomena on ships energy consumption are two interesting and serious concepts in the maritime issues. In this paper, an efficient energy management strategy is proposed for a hybrid vessel that can effectively consider the emission policies and apply the impacts of ship resistant, wind direction and sea state on the ships propulsion. In addition, the possibility and impact of charging and discharging the carried electrical vehicles’ batteries by the ship is investigated. All mentioned matters are mathematically formulated and a general model of the system is extracted. The resulted model and real data are utilized for the proposed energy management strategy. A genetic algorithm is used in MATLAB software to obtain the optimal solution for a specific trip of the ship. Simulation results confirm the effectiveness of the proposed energy management method in economical and reliable operation of the ship considering the different emission control policies and weather condition impacts.

Suggested Citation

  • Mohsen Banaei & Fatemeh Ghanami & Mehdi Rafiei & Jalil Boudjadar & Mohammad-Hassan Khooban, 2020. "Energy Management of Hybrid Diesel/Battery Ships in Multidisciplinary Emission Policy Areas," Energies, MDPI, vol. 13(16), pages 1-16, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4179-:d:398184
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    References listed on IDEAS

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    1. Hou, Jun & Song, Ziyou & Park, Hyeongjun & Hofmann, Heath & Sun, Jing, 2018. "Implementation and evaluation of real-time model predictive control for load fluctuations mitigation in all-electric ship propulsion systems," Applied Energy, Elsevier, vol. 230(C), pages 62-77.
    2. Geertsma, R.D. & Negenborn, R.R. & Visser, K. & Hopman, J.J., 2017. "Design and control of hybrid power and propulsion systems for smart ships: A review of developments," Applied Energy, Elsevier, vol. 194(C), pages 30-54.
    3. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    4. Linda Barelli & Gianni Bidini & Federico Gallorini & Francesco Iantorno & Nicola Pane & Panfilo Andrea Ottaviano & Lorenzo Trombetti, 2018. "Dynamic Modeling of a Hybrid Propulsion System for Tourist Boat," Energies, MDPI, vol. 11(10), pages 1-17, September.
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    Cited by:

    1. Jianhua Deng & Ji Zeng & Songyan Mai & Bowen Jin & Bo Yuan & Yunhui You & Shifeng Lu & Mengkai Yang, 2021. "Analysis and prediction of ship energy efficiency using 6G big data internet of things and artificial intelligence technology," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 824-834, August.
    2. Ye-Rin Kim & Jae-Myeong Kim & Jae-Jung Jung & So-Yeon Kim & Jae-Hak Choi & Hyun-Goo Lee, 2021. "Comprehensive Design of DC Shipboard Power Systems for Pure Electric Propulsion Ship Based on Battery Energy Storage System," Energies, MDPI, vol. 14(17), pages 1-28, August.

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