Research on the Development of Intelligent Ships and Smart Energy Management Technologies

Authors

  • Chaohua Wu Guangzhou Zhouhang Marine Equipment Co., Ltd., Guangzhou, Guangdong, 511455, China Author

DOI:

https://doi.org/10.71222/wrgd4245

Keywords:

intelligent ship, smart energy management, system architecture, optimization algorithms, control strategies

Abstract

With the maritime industry undergoing digital transformation and facing growing demands for automation, intelligent ships and smart energy management have become central to boosting operational efficiency, cutting fuel consumption, and reducing environmental impact. This paper first reviews the concept and system architecture of intelligent ships and surveys key technological advances in autonomous navigation, condition monitoring, and decision support. It then examines the architectural models of shipboard energy management systems, explores intelligent optimization algorithms, and outlines real-time control strategies. Drawing on representative application cases, the study evaluates both operational performance and economic returns. Finally, it discusses major challenges in engineering rollout, algorithmic reliability, and large-scale deployment, and looks ahead to emerging research directions and industry trends, offering theoretical underpinnings and practical guidance for the evolution of intelligent shipping and energy management.

References

1. M. Gaber, et al., "Intelligent energy management system for an all-electric ship based on adaptive neuro-fuzzy inference sys-tem," Energy Rep., vol. 7, pp. 7989–7998, 2021, doi: 10.1016/j.egyr.2021.06.054.

2. M. Gaber, et al., "Designing and implementation of an intelligent energy management system for electric ship power system based on adaptive neuro-fuzzy inference system (ANFIS)," Adv. Sci. Technol. Eng. Syst. J., vol. 6, no. 2, pp. 195–203, 2021, doi: 10.25046/aj060223.

3. X. Zeng, M. Chen, H. Li, and X. Wu, "A data-driven intelligent energy efficiency management system for ships," IEEE Intell. Transp. Syst. Mag., vol. 15, no. 1, pp. 270–284, Jan.–Feb. 2023, doi: 10.1109/MITS.2022.3153491.

4. T. Yang, "Intelligent ships," in Maritime Law in Motion, P. K. Mukherjee, M. Q. Mejia, and J. Xu, Eds. Cham, Switzerland: Springer, 2020, vol. 8, pp. 209–222. ISBN: 9783030317485.

5. S. Liu, K. He, X. Pan, and Y. Hu, "Review of development trend of transportation energy system and energy usages in China considering influences of intelligent technologies," Energies, vol. 16, no. 10, p. 4142, 2023, doi: 10.3390/en16104142.

6. P. Pandiyan, et al., "Technological advancements toward smart energy management in smart cities," Energy Rep., vol. 10, pp. 648–677, 2023, doi: 10.1016/j.egyr.2023.07.021.

7. H. P. Nguyen, N. D. K. Pham, and V. D. Bui, "Technical-environmental assessment of energy management systems in smart ports," Int. J. Renew. Energy Dev., vol. 11, no. 4, pp. 889–901, 2022, doi: 10.14710/ijred.2022.46300.

8. P. Rajesh, F. H. Shajin, and G. Kannayeram, "A novel intelligent technique for energy management in smart home using internet of things," Appl. Soft Comput., vol. 128, p. 109442, 2022, doi: 10.1016/j.asoc.2022.109442.

9. P. Xie, et al., "Optimization-based power and energy management system in shipboard microgrid: A review," IEEE Syst. J., vol. 16, no. 1, pp. 578–590, Mar. 2022, doi: 10.1109/JSYST.2020.3047673.

10. S. B. Issa Zadeh, M. D. Esteban Perez, J.-S. López-Gutiérrez, and G. Fernández-Sánchez, "Optimizing smart energy infra-structure in smart ports: A systematic scoping review of carbon footprint reduction," J. Mar. Sci. Eng., vol. 11, no. 10, p. 1921, 2023, doi: 10.3390/jmse11101921.

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Published

09 May 2025

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Article

How to Cite

Wu, C. (2025). Research on the Development of Intelligent Ships and Smart Energy Management Technologies. International Journal of Engineering Advances, 2(2), 9-16. https://doi.org/10.71222/wrgd4245