A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS
To enhance ship navigation efficiency and minimize fuel consumption and emissions, this study proposes a multi-objective energy efficiency optimization method for ships under actual operating conditions. A comprehensive mathematical model integrating ship, engine, and propeller dynamics while accoun...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering and Naval Architecture
2025-01-01
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| Series: | Brodogradnja |
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| Online Access: | https://hrcak.srce.hr/file/480763 |
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| author | Daoyi Lu Antong Wang Huibing Gan Yuxin Su Xuefei Ao |
| author_facet | Daoyi Lu Antong Wang Huibing Gan Yuxin Su Xuefei Ao |
| author_sort | Daoyi Lu |
| collection | DOAJ |
| description | To enhance ship navigation efficiency and minimize fuel consumption and emissions, this study proposes a multi-objective energy efficiency optimization method for ships under actual operating conditions. A comprehensive mathematical model integrating ship, engine, and propeller dynamics while accounting for sea-state influences is developed and validated using experimental data. Based on this model, optimization models for propeller parameters and navigation speed are established. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is employed to generate the Pareto solution set, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach is utilized to identify the optimal solution. The results demonstrate that optimizing propeller parameters enhances the propulsion efficiency by 2.11%, reduces the specific fuel oil consumption (SFOC) by 1.93%, and reduces the nitrogen oxide (NOx ) emissions by 12.91%. Furthermore, navigation speed optimization based on the refined propeller design yields a 3.05% reduction in the total fuel consumption and a 10.39% decrease in the total emissions when voyage time constraints are not considered, albeit with a 3.57% increase in total navigation duration. Under voyage time constraints, the total fuel consumption and the total emissions are reduced by 1.97% and 8.31%, respectively, while total navigation time decreases by 2.92%. These findings indicate that the proposed multi-objective optimization method based on NSGA-II and TOPSIS effectively enhances ship energy efficiency and environmental performance. By integrating operational and design parameter optimization while simultaneously addressing economic and ecological considerations, this study offers valuable insights for advancing ship energy efficiency strategies. |
| format | Article |
| id | doaj-art-d4ed73b608fc443fbdbb870efbde11c7 |
| institution | OA Journals |
| issn | 0007-215X 1845-5859 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Faculty of Mechanical Engineering and Naval Architecture |
| record_format | Article |
| series | Brodogradnja |
| spelling | doaj-art-d4ed73b608fc443fbdbb870efbde11c72025-08-20T02:09:56ZengFaculty of Mechanical Engineering and Naval ArchitectureBrodogradnja0007-215X1845-58592025-01-0176312310.21278/brod76301A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSISDaoyi Lu0Antong Wang1Huibing Gan2Yuxin Su3Xuefei Ao4College of Marine Engineering, Dalian Maritime UniversityCollege of Marine Engineering, Dalian Maritime UniversityCollege of Marine Engineering, Dalian Maritime UniversityCollege of Marine Engineering, Dalian Maritime UniversityCollege of Marine Engineering, Dalian Maritime UniversityTo enhance ship navigation efficiency and minimize fuel consumption and emissions, this study proposes a multi-objective energy efficiency optimization method for ships under actual operating conditions. A comprehensive mathematical model integrating ship, engine, and propeller dynamics while accounting for sea-state influences is developed and validated using experimental data. Based on this model, optimization models for propeller parameters and navigation speed are established. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is employed to generate the Pareto solution set, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach is utilized to identify the optimal solution. The results demonstrate that optimizing propeller parameters enhances the propulsion efficiency by 2.11%, reduces the specific fuel oil consumption (SFOC) by 1.93%, and reduces the nitrogen oxide (NOx ) emissions by 12.91%. Furthermore, navigation speed optimization based on the refined propeller design yields a 3.05% reduction in the total fuel consumption and a 10.39% decrease in the total emissions when voyage time constraints are not considered, albeit with a 3.57% increase in total navigation duration. Under voyage time constraints, the total fuel consumption and the total emissions are reduced by 1.97% and 8.31%, respectively, while total navigation time decreases by 2.92%. These findings indicate that the proposed multi-objective optimization method based on NSGA-II and TOPSIS effectively enhances ship energy efficiency and environmental performance. By integrating operational and design parameter optimization while simultaneously addressing economic and ecological considerations, this study offers valuable insights for advancing ship energy efficiency strategies.https://hrcak.srce.hr/file/480763ship energy efficiencymulti-objective optimizationpropellernavigation speeddifferent sea conditions |
| spellingShingle | Daoyi Lu Antong Wang Huibing Gan Yuxin Su Xuefei Ao A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS Brodogradnja ship energy efficiency multi-objective optimization propeller navigation speed different sea conditions |
| title | A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS |
| title_full | A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS |
| title_fullStr | A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS |
| title_full_unstemmed | A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS |
| title_short | A multi-objective collaborative optimization method of ship energy efficiency based on NSGA-II and TOPSIS |
| title_sort | multi objective collaborative optimization method of ship energy efficiency based on nsga ii and topsis |
| topic | ship energy efficiency multi-objective optimization propeller navigation speed different sea conditions |
| url | https://hrcak.srce.hr/file/480763 |
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