Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing
This study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions. The study focused on improving the prediction of speed lo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/42 |
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| author | Chih-Wen Cheng Yu-An Tzeng Ming-Hsiung Chang Shang-Chi Liu Ho-King Cheung Ching-Yeh Hsin |
| author_facet | Chih-Wen Cheng Yu-An Tzeng Ming-Hsiung Chang Shang-Chi Liu Ho-King Cheung Ching-Yeh Hsin |
| author_sort | Chih-Wen Cheng |
| collection | DOAJ |
| description | This study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions. The study focused on improving the prediction of speed loss in irregular waves for container ships and further applying this to ship-optimized voyage planning. Dynamic programming was used for optimized voyage planning by modifying the ship course in response to meteorological data; this approach could balance both energy efficiency and safety. The modified speed loss predictions aligned closely with the simulation results, enhancing the reliability of weather routing decisions. Case studies for trans-Pacific and trans-Atlantic voyages demonstrated that the proposed system could significantly reduce the voyage time. These findings highlight the potential of real-time updates in voyage planning. The proposed system is a valuable tool for captains and fleet managers. The applicability of this system can be further broadened by validating it on different ship types. |
| format | Article |
| id | doaj-art-0a3c291875cf41d7a298a1ecc9e81997 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-0a3c291875cf41d7a298a1ecc9e819972025-01-24T13:36:39ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-12-011314210.3390/jmse13010042Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather RoutingChih-Wen Cheng0Yu-An Tzeng1Ming-Hsiung Chang2Shang-Chi Liu3Ho-King Cheung4Ching-Yeh Hsin5CR Classification Society, Taipei City 104707, TaiwanCR Classification Society, Taipei City 104707, TaiwanCR Classification Society, Taipei City 104707, TaiwanCR Classification Society, Taipei City 104707, TaiwanDepartment of Systems Engineering and Naval Architecture, National Taiwan Ocean University, Keelung City 202301, TaiwanDepartment of Systems Engineering and Naval Architecture, National Taiwan Ocean University, Keelung City 202301, TaiwanThis study presents an optimized system for ship route planning. Computational fluid dynamics simulations were used to modify Kwon’s semi-empirical speed loss estimation method, enabling efficient route planning under variable sea conditions. The study focused on improving the prediction of speed loss in irregular waves for container ships and further applying this to ship-optimized voyage planning. Dynamic programming was used for optimized voyage planning by modifying the ship course in response to meteorological data; this approach could balance both energy efficiency and safety. The modified speed loss predictions aligned closely with the simulation results, enhancing the reliability of weather routing decisions. Case studies for trans-Pacific and trans-Atlantic voyages demonstrated that the proposed system could significantly reduce the voyage time. These findings highlight the potential of real-time updates in voyage planning. The proposed system is a valuable tool for captains and fleet managers. The applicability of this system can be further broadened by validating it on different ship types.https://www.mdpi.com/2077-1312/13/1/42speed lossself-propulsionbody force methodCFDdynamic programmingweather routing |
| spellingShingle | Chih-Wen Cheng Yu-An Tzeng Ming-Hsiung Chang Shang-Chi Liu Ho-King Cheung Ching-Yeh Hsin Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing Journal of Marine Science and Engineering speed loss self-propulsion body force method CFD dynamic programming weather routing |
| title | Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing |
| title_full | Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing |
| title_fullStr | Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing |
| title_full_unstemmed | Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing |
| title_short | Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing |
| title_sort | application of computational fluid dynamics and semi empirical speed loss prediction for weather routing |
| topic | speed loss self-propulsion body force method CFD dynamic programming weather routing |
| url | https://www.mdpi.com/2077-1312/13/1/42 |
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