| Issue |
E3S Web Conf.
Volume 375, 2023
8th International Conference on Energy Science and Applied Technology (ESAT 2023)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 5 | |
| Section | Energy Sustainability & Energy-Related Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202337503016 | |
| Published online | 27 March 2023 | |
Energy efficiency optimization of ships based on particle swarm optimization
1
Economic Management College, Sichuan Vocational College of Chemical Industry,
Sichuan, China
2
COSCO SHIPPING Logistics (Xiamen) Co., Ltd.,
Siming District,
Xiamen, Fujian, China
* Corresponding author: 250061294@qq.com
In response to the severe energy-saving and emission-reduction situation, it is of great practical significance to reduce the fuel consumption of ships’ main engines and carbon dioxide emissions, and to realize the energy-saving and emission reduction of ships. In this study, We use the particle swarm optimization algorithm to optimize and analyze the energy consumption of ships based on the energy consumption data of ships during navigation, and test the energy efficiency of ships through the ship energy efficiency operation index. The results of the present study show that in order to reduce the energy consumption of ships and ultimately achieve the purpose of energy saving and emission reduction, it is theoretically feasible to use particle swarm optimization algorithm to optimize the speed of ships.
Key words: Energy saving and emission reduction / Ship energy efficiency improvement / particle swarm optimization
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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