Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax
Various measures have been taken to improve ship energy efficiency while decreasing CO<sub>2</sub> emissions. In this work, the navigation environment between Wuhan and Shanghai in China has been classified based on an improved K-means algorithm in order to realize route division. A fuel...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/1/82 |
| _version_ | 1797440389030871040 |
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| author | Yupeng Yuan Xiaoyu Wang Liang Tong Rui Yang Boyang Shen |
| author_facet | Yupeng Yuan Xiaoyu Wang Liang Tong Rui Yang Boyang Shen |
| author_sort | Yupeng Yuan |
| collection | DOAJ |
| description | Various measures have been taken to improve ship energy efficiency while decreasing CO<sub>2</sub> emissions. In this work, the navigation environment between Wuhan and Shanghai in China has been classified based on an improved K-means algorithm in order to realize route division. A fuel consumption prediction model considering the navigation environment factors has been established. Consequently, speed optimization models with multiple different optimization objectives have been constructed and tested based on an actual case using an artificial fish swarm algorithm. Finally, sensitivity analysis has been carried out focusing on the navigation time, fuel price, charter rate, free carbon credits, and carbon tax rate. The results show that the total shipping cost and CO<sub>2</sub> emissions could be reduced by 0.94% and 0.38%, respectively, after the optimization. Considering a carbon tax policy with a tax rate of roughly 1300 RMB/t, the optimization result (including the carbon tax cost) is close to the compromised solution of multi-objective optimization, and the corresponding carbon tax rate can provide a useful reference for policymakers. |
| first_indexed | 2024-03-09T12:06:29Z |
| format | Article |
| id | doaj.art-36889b82cc1841608efa8f84cc626649 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T12:06:29Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-36889b82cc1841608efa8f84cc6266492023-11-30T22:56:55ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-01-011118210.3390/jmse11010082Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon TaxYupeng Yuan0Xiaoyu Wang1Liang Tong2Rui Yang3Boyang Shen4The Reliability Engineering Institute, The School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaThe National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, ChinaThe Reliability Engineering Institute, The School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaThe National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, ChinaThe Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UKVarious measures have been taken to improve ship energy efficiency while decreasing CO<sub>2</sub> emissions. In this work, the navigation environment between Wuhan and Shanghai in China has been classified based on an improved K-means algorithm in order to realize route division. A fuel consumption prediction model considering the navigation environment factors has been established. Consequently, speed optimization models with multiple different optimization objectives have been constructed and tested based on an actual case using an artificial fish swarm algorithm. Finally, sensitivity analysis has been carried out focusing on the navigation time, fuel price, charter rate, free carbon credits, and carbon tax rate. The results show that the total shipping cost and CO<sub>2</sub> emissions could be reduced by 0.94% and 0.38%, respectively, after the optimization. Considering a carbon tax policy with a tax rate of roughly 1300 RMB/t, the optimization result (including the carbon tax cost) is close to the compromised solution of multi-objective optimization, and the corresponding carbon tax rate can provide a useful reference for policymakers.https://www.mdpi.com/2077-1312/11/1/82ship speed optimizationnavigation environmentfuel consumption predictionoptimization methodclustering algorithm |
| spellingShingle | Yupeng Yuan Xiaoyu Wang Liang Tong Rui Yang Boyang Shen Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax Journal of Marine Science and Engineering ship speed optimization navigation environment fuel consumption prediction optimization method clustering algorithm |
| title | Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax |
| title_full | Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax |
| title_fullStr | Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax |
| title_full_unstemmed | Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax |
| title_short | Research on Multi-Objective Energy Efficiency Optimization Method of Ships Considering Carbon Tax |
| title_sort | research on multi objective energy efficiency optimization method of ships considering carbon tax |
| topic | ship speed optimization navigation environment fuel consumption prediction optimization method clustering algorithm |
| url | https://www.mdpi.com/2077-1312/11/1/82 |
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