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Joint energy consumption optimization method for wing-diesel engine-powered hybrid ships towards a more energy-efficient shipping

Author

Listed:
  • Wang, Kai
  • Xue, Yu
  • Xu, Hao
  • Huang, Lianzhong
  • Ma, Ranqi
  • Zhang, Peng
  • Jiang, Xiaoli
  • Yuan, Yupeng
  • Negenborn, Rudy R.
  • Sun, Peiting

Abstract

Wing-diesel engine-powered hybrid ships can effectively reduce fuel consumption and CO2 emissions by using wind energy as the auxiliary driving power. The energy optimization management of the hybrid system can further improve the ship's energy efficiency. To achieve this purpose, it is significant to establish an effective energy consumption model for the energy optimization management of the hybrid system. Therefore, an energy consumption model is established based on the energy conversion analysis of the hybrid power system in this paper. This model can effectively describe the energy consumption of the hybrid ship under different navigational environmental conditions. Then, a joint optimization method of the wing attack angle and of the sailing speed for the hybrid ship is proposed by adopting a swarm intelligence optimization algorithm, in order to reduce energy consumption and CO2 emissions of the hybrid ship under different navigational environmental conditions. Finally, the energy consumption optimization potentials by adopting the hybrid power system and the proposed joint optimization method are analyzed. The results show that the energy consumption and CO2 emissions along a typical route can be reduced by about 4.5%. This study provides an important basis for future practical operations of wing-diesel engine-powered hybrid ships.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222000585
    DOI: 10.1016/j.energy.2022.123155
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    References listed on IDEAS

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    1. Yuan, Yupeng & Wang, Jixiang & Yan, Xinping & Li, Qing & Long, Teng, 2018. "A design and experimental investigation of a large-scale solar energy/diesel generator powered hybrid ship," Energy, Elsevier, vol. 165(PA), pages 965-978.
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    Cited by:

    1. Wang, Kai & Hua, Yu & Huang, Lianzhong & Guo, Xin & Liu, Xing & Ma, Zhongmin & Ma, Ranqi & Jiang, Xiaoli, 2023. "A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data," Energy, Elsevier, vol. 282(C).
    2. Ba, Jin & Wei, Wu & Zhao, Lun & Gang, Xiao & Dong, Wenzhi & Zhou, Tingyu, 2023. "Numerical simulation of trans-/near-/supercritical injection characteristics based on real fluid properties," Energy, Elsevier, vol. 278(C).
    3. Ruan, Zhang & Huang, Lianzhong & Wang, Kai & Ma, Ranqi & Wang, Zhongyi & Zhang, Rui & Zhao, Haoyang & Wang, Cong, 2024. "A novel prediction method of fuel consumption for wing-diesel hybrid vessels based on feature construction," Energy, Elsevier, vol. 286(C).
    4. He Yin & Hai Lan & Ying-Yi Hong & Zhuangwei Wang & Peng Cheng & Dan Li & Dong Guo, 2023. "A Comprehensive Review of Shipboard Power Systems with New Energy Sources," Energies, MDPI, vol. 16(5), pages 1-44, February.
    5. 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).

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