Ocean Engineering, Год журнала: 2024, Номер 317, С. 120028 - 120028
Опубликована: Дек. 9, 2024
Язык: Английский
Ocean Engineering, Год журнала: 2024, Номер 317, С. 120028 - 120028
Опубликована: Дек. 9, 2024
Язык: Английский
Marine Pollution Bulletin, Год журнала: 2025, Номер 212, С. 117576 - 117576
Опубликована: Янв. 19, 2025
Язык: Английский
Процитировано
0Transportation Research Interdisciplinary Perspectives, Год журнала: 2025, Номер 30, С. 101379 - 101379
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Energy & Fuels, Год журнала: 2025, Номер unknown
Опубликована: Март 11, 2025
Язык: Английский
Процитировано
0Energy Conversion and Management, Год журнала: 2025, Номер 332, С. 119738 - 119738
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
0Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(8), С. 1265 - 1265
Опубликована: Июль 27, 2024
This study presents a comprehensive approach to trim optimization as an energy efficiency improvement measure, focusing on reducing fuel consumption for one RO-RO car carrier. Utilizing Computational Fluid Dynamics (CFD) software, the methodology incorporates artificial neural networks (ANNs) develop mathematical model estimating key parameters such brake power, daily oil (DFOC) and propeller speed. The complex ANN is then integrated into user-friendly software tool practical engineering applications. research outlines seven-phase process discusses its potential extension other types of ships, aiming establish universal CFD-based analyses. Based results, biggest DFOC goes up 10.5% at 7.5 m draft 8% higher drafts. Generally, in every considered case, it recommended sail with towards bow, meaning that ship’s longitudinal center gravity should be adjusted tilt slightly forward.
Язык: Английский
Процитировано
3Опубликована: Июнь 18, 2024
This study presents a comprehensive approach to trim optimization as energy efficiency improvement measure, focusing on reducing fuel consumption for one RO-RO car carrier. Utilizing Computational Fluid Dynamics (CFD) software, the methodology incorporates Artificial Neural Networks (ANN) develop mathematical model estimating key parameters such brake power, daily oil (DFOC) and propeller speed. The complex ANN is then integrated into user-friendly software tool practical engineering applications. research outlines seven-phase process discusses its potential extension other types of ships, aiming establish universal CFD-based analyses. Based results, biggest DFOC goes up 10.5% at 7.5m draft 8% higher drafts. Generally, in every considered case, it recommended sail with towards bow, meaning that ship’s weight (ballast) should be adjusted tilt slightly forward.
Язык: Английский
Процитировано
1Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Ocean Engineering, Год журнала: 2024, Номер 317, С. 120028 - 120028
Опубликована: Дек. 9, 2024
Язык: Английский
Процитировано
0