Hierarchical Optimization Method for Ship Navigation in Multiple Emission Control Areas
While the marine transportation industry is responsible for most global transportation tasks, it also accounts for a large proportion of greenhouse emissions. With the goal of carbon neutrality, emission control and marine carbon trading scheme are developed. Transportation ships will be subject to...
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| Published in | 2022 IEEE Sustainable Power and Energy Conference (iSPEC) pp. 1 - 5 |
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| Main Authors | , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
04.12.2022
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| Subjects | |
| Online Access | Get full text |
| DOI | 10.1109/iSPEC54162.2022.10033078 |
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| Abstract | While the marine transportation industry is responsible for most global transportation tasks, it also accounts for a large proportion of greenhouse emissions. With the goal of carbon neutrality, emission control and marine carbon trading scheme are developed. Transportation ships will be subject to the emission control area with multiple protection levels. In this paper, a hierarchical optimization method of ship integrated power system (IPS) is proposed to reduce transportation costs by splitting the optimization problem via different time scales. Then, the operation problems of the ship's powertrain and power system are solved, respectively. The cost of the proposed method and the traditional constant navigation schemes are compared. The results show that the proposed method can reduce the total cost of the route by adjusting the speed flexibly according to different protection levels in each control area. |
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| AbstractList | While the marine transportation industry is responsible for most global transportation tasks, it also accounts for a large proportion of greenhouse emissions. With the goal of carbon neutrality, emission control and marine carbon trading scheme are developed. Transportation ships will be subject to the emission control area with multiple protection levels. In this paper, a hierarchical optimization method of ship integrated power system (IPS) is proposed to reduce transportation costs by splitting the optimization problem via different time scales. Then, the operation problems of the ship's powertrain and power system are solved, respectively. The cost of the proposed method and the traditional constant navigation schemes are compared. The results show that the proposed method can reduce the total cost of the route by adjusting the speed flexibly according to different protection levels in each control area. |
| Author | Moduo, Yu Wentao, Huang Heng, Song Ruihao, Sun Xinsheng, Zhang |
| Author_xml | – sequence: 1 givenname: Sun surname: Ruihao fullname: Ruihao, Sun organization: Shanghai Jiao Tong University,Key Laboratory of Control of Power Transmission and Conversion Ministry of Education,Shanghai,China – sequence: 2 givenname: Yu surname: Moduo fullname: Moduo, Yu organization: Shanghai Jiao Tong University,Key Laboratory of Control of Power Transmission and Conversion Ministry of Education,Shanghai,China – sequence: 3 givenname: Huang surname: Wentao fullname: Wentao, Huang organization: Shanghai Jiao Tong University,Key Laboratory of Control of Power Transmission and Conversion Ministry of Education,Shanghai,China – sequence: 4 givenname: Zhang surname: Xinsheng fullname: Xinsheng, Zhang organization: State Grid Jiangsu Electric Power Company,Jiangsu,China – sequence: 5 givenname: Song surname: Heng fullname: Heng, Song organization: State Grid Jiangsu Electric Power Company,Jiangsu,China |
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| Snippet | While the marine transportation industry is responsible for most global transportation tasks, it also accounts for a large proportion of greenhouse emissions.... |
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| SubjectTerms | Costs hierarchical optimization Industries marine carbon trading marine emission control area Mechanical power transmission mixed-integer programming Navigation Optimization methods Programming ship integrated power system Transportation |
| Title | Hierarchical Optimization Method for Ship Navigation in Multiple Emission Control Areas |
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