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The shore power deployment problem for maritime transportation

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  • Wu, Lingxiao
  • Wang, Shuaian

Abstract

In this paper, we study a shore power deployment problem in a container shipping network. The aim of the problem is to develop a subsidy program for a government that achieves the utmost reduction of at-berth emissions from ships in the network. We formulate the problem as a mathematical model that captures the involved relationships among the government, container ports, and shipping lines. The model is hard to solve because it involves a multi-phase process that does not have a closed-form solution. To solve the problem, we develop a tailored labeling algorithm. Extensive numerical experiments are conducted, and the results demonstrate the applicability and efficiency of the solution method for solving practical instances. The results also demonstrate that the solutions delivered by our algorithm to the problem can significantly reduce the at-berth emissions from ships in the shipping network.

Suggested Citation

  • Wu, Lingxiao & Wang, Shuaian, 2020. "The shore power deployment problem for maritime transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:transe:v:135:y:2020:i:c:s1366554518300218
    DOI: 10.1016/j.tre.2020.101883
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    Cited by:

    1. Merkel, Axel & Nyberg, Erik & Ek, Karin & Sjöstrand, Henrik, 2022. "Economics of shore power for non-liner shipping : socioeconomic appraisal under different access pricing," Working Papers 2022:6, Swedish National Road & Transport Research Institute (VTI).
    2. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    3. Zhen, Lu & Wang, Wencheng & Lin, Shumin, 2022. "Analytical comparison on two incentive policies for shore power equipped ships in berthing activities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    4. Dan Zhuge & Shuaian Wang & Lu Zhen & Gilbert Laporte, 2021. "Subsidy design in a vessel speed reduction incentive program under government policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 344-358, April.
    5. Abu Bakar, Nur Najihah & Bazmohammadi, Najmeh & Vasquez, Juan C. & Guerrero, Josep M., 2023. "Electrification of onshore power systems in maritime transportation towards decarbonization of ports: A review of the cold ironing technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    6. Yang He & Yun Zhu, 2023. "Comprehensive Benefit Analysis of Port Shore Power Based on Carbon Trading," Energies, MDPI, vol. 16(6), pages 1-19, March.
    7. Jingwen Qi & Hans Wang & Jianfeng Zheng, 2022. "Shore Power Deployment Problem—A Case Study of a Chinese Container Shipping Network," Sustainability, MDPI, vol. 14(11), pages 1-13, June.
    8. Hanyu Lu & Lufei Huang, 2021. "Optimization of Shore Power Deployment in Green Ports Considering Government Subsidies," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    9. Wang, Jinggai & Zhong, Meisu & Wang, Tianni & Ge, Ying-En, 2023. "Identifying industry-related opinions on shore power from a survey in China," Transport Policy, Elsevier, vol. 134(C), pages 65-81.
    10. Wang, Lifen & Liang, Chengji & Shi, Jian & Molavi, Anahita & Lim, Gino & Zhang, Yue, 2021. "A bilevel hybrid economic approach for optimal deployment of onshore power supply in maritime ports," Applied Energy, Elsevier, vol. 292(C).
    11. Wen Yi & Robyn Phipps & Hans Wang, 2020. "Sustainable Ship Loading Planning for Prefabricated Products in the Construction Industry," Sustainability, MDPI, vol. 12(21), pages 1-12, October.
    12. Merkel, Axel & Nyberg, Erik & Ek, Karin & Sjöstrand, Henrik, 2023. "Economics of shore power under different access pricing," Research in Transportation Economics, Elsevier, vol. 101(C).
    13. Jingwen Qi & Hans Wang & Jianfeng Zheng, 2022. "Promoting Liquefied Natural Gas (LNG) Bunkering for Maritime Transportation: Should Ports or Ships Be Subsidized?," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
    14. Song, Zhuzhu & Tang, Wansheng & Zhao, Ruiqing & Zhang, Guoqing, 2022. "Implications of government subsidies on shipping companies’ shore power usage strategies in port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    15. Xu, Haonan & Liu, Jiaguo & Xu, Xiaofeng & Chen, Jihong & Yue, Xiaohang, 2024. "The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    16. Wang, Shuaian & Qi, Jingwen & Laporte, Gilbert, 2022. "Governmental subsidy plan modeling and optimization for liquefied natural gas as fuel for maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 304-321.
    17. Chuanxu Wang & Lingli Wang, 2023. "Green investment and vertical alliances in the maritime supply chain," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6657-6687, July.

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