Optimization of Energy Replenishment for Inland Electric Ships Considering Multi-Technology Adoption and Partial Replenishment
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| Publicat a: | Journal of Marine Science and Engineering vol. 13, no. 11 (2025), p. 2092-2118 |
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| Autor principal: | |
| Altres autors: | , , , , , |
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| Accés en línia: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 022 | |a 2077-1312 | ||
| 024 | 7 | |a 10.3390/jmse13112092 |2 doi | |
| 035 | |a 3275539404 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231479 |2 nlm | ||
| 100 | 1 | |a Guo Siqing |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; gsq0505@sjtu.edu.cn (S.G.); cauchmar@sjtu.edu.cn (Y.W.); yuemingyuan@sjtu.edu.cn (M.Y.); hhu@sjtu.edu.cn (H.H.) | |
| 245 | 1 | |a Optimization of Energy Replenishment for Inland Electric Ships Considering Multi-Technology Adoption and Partial Replenishment | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a While battery-powered propulsion represents a promising pathway for inland waterway freight, its widespread adoption is hindered by range anxiety and high investment costs. Strategic energy replenishment has emerged as a critical and cost-effective solution to extend voyage endurance and mitigate these barriers. This paper introduces a novel approach to optimize energy replenishment strategies for inland electric ships that considers the possibility of adopting multiple technologies (charging and battery swapping) and partial replenishment. The proposed approach not only identifies optimal replenishment ports but also determines the technology to employ and the corresponding amount of energy to replenish for each operation, aimed at minimizing total replenishment costs. This problem is formulated as a mixed-integer linear programming model. A case study of a 700-TEU electric container ship operating on two routes along the Yangtze River validates the effectiveness of the proposed approach. The methodology demonstrates superior performance over existing approaches by significantly reducing replenishment costs and improving solution feasibility, particularly in scenarios with tight schedules and limited technology availability. Furthermore, a sensitivity analysis examines the impacts of key parameters, offering valuable strategic insights for industry stakeholders. | |
| 653 | |a Linear programming | ||
| 653 | |a Integer programming | ||
| 653 | |a Ports | ||
| 653 | |a Sensitivity analysis | ||
| 653 | |a Parameter sensitivity | ||
| 653 | |a Electric vehicles | ||
| 653 | |a Optimization | ||
| 653 | |a Container ships | ||
| 653 | |a Ships | ||
| 653 | |a Energy consumption | ||
| 653 | |a Technology adoption | ||
| 653 | |a Energy | ||
| 653 | |a Energy costs | ||
| 653 | |a Cargo ships | ||
| 653 | |a Decision making | ||
| 653 | |a Flexibility | ||
| 653 | |a Effectiveness | ||
| 653 | |a Replenishment | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Mixed integer | ||
| 653 | |a Inland waterways | ||
| 653 | |a Cost control | ||
| 653 | |a Inland waters | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Wang, Yubing |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; gsq0505@sjtu.edu.cn (S.G.); cauchmar@sjtu.edu.cn (Y.W.); yuemingyuan@sjtu.edu.cn (M.Y.); hhu@sjtu.edu.cn (H.H.) | |
| 700 | 1 | |a Yue Mingyuan |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; gsq0505@sjtu.edu.cn (S.G.); cauchmar@sjtu.edu.cn (Y.W.); yuemingyuan@sjtu.edu.cn (M.Y.); hhu@sjtu.edu.cn (H.H.) | |
| 700 | 1 | |a Dai Lei |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; gsq0505@sjtu.edu.cn (S.G.); cauchmar@sjtu.edu.cn (Y.W.); yuemingyuan@sjtu.edu.cn (M.Y.); hhu@sjtu.edu.cn (H.H.) | |
| 700 | 1 | |a Fang Sidun |u School of Electrical Engineering, Chongqing University, Chongqing 400044, China; fangston@foxmail.com | |
| 700 | 1 | |a Zhang Shenxi |u School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; willzsx@sjtu.edu.cn | |
| 700 | 1 | |a Hu, Hao |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; gsq0505@sjtu.edu.cn (S.G.); cauchmar@sjtu.edu.cn (Y.W.); yuemingyuan@sjtu.edu.cn (M.Y.); hhu@sjtu.edu.cn (H.H.) | |
| 773 | 0 | |t Journal of Marine Science and Engineering |g vol. 13, no. 11 (2025), p. 2092-2118 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275539404/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
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| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3275539404/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |