Energy management and speed optimization of diesel-electric hybrid ships considering meteorological uncertainties

Jiantao Huang; Yining Qiao; Qian Ai; Yu Zhao

doi:10.1117/12.3030322

5 June 2024 Energy management and speed optimization of diesel-electric hybrid ships considering meteorological uncertainties

Jiantao Huang, Yining Qiao, Qian Ai, Yu Zhao

Author Affiliations +

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316330 (2024) https://doi.org/10.1117/12.3030322
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

The safety and economy of ship navigation will be impacted by the randomness of meteorology and the timeliness of the forecasting system, thus it is essential to take this into account when optimizing ship speed. A mathematical model of a hybrid diesel-electric ship is first established. Using the k-means clustering method, typical scenarios of prediction mistakes are produced while taking into account the uncertainty of wind speed and wave height predictions in meteorological data. Based on this, a stochastic optimization-based energy management and speed optimization model for hybrid ships is established and solved by an improved particle swarm algorithm. The simulation results confirm the superiority of the suggested model in lowering the ship's fuel consumption and enhancing safety and stability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiantao Huang, Yining Qiao, Qian Ai, and Yu Zhao "Energy management and speed optimization of diesel-electric hybrid ships considering meteorological uncertainties", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316330 (5 June 2024); https://doi.org/10.1117/12.3030322

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