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Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions

Author

Listed:
  • Nanxi Wang

    (Logistics Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China)

  • Daofang Chang

    (Institute of Logistics Science & Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China)

  • Xiaowei Shi

    (Logistics Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China)

  • Jun Yuan

    (China Institute of FTZ Supply Chain, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China)

  • Yinping Gao

    (Institute of Logistics Science & Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, China)

Abstract

With the rapid development of world economy and trade and the continuous construction of green port, automated container terminal (ACT) has increasingly become the direction of future development. Layout design is the premise of ACT construction, which has an at least 50-year influence on the terminal. Therefore, this paper hopes to analyze and design the typical ACT layout to achieve sustainable development of the port. Firstly, a conceptual model is presented considering the interaction between different areas within the ACT when the width and length of the terminal are fixed. To select the optimal layout to achieve the goal of the green terminal, a novel mathematical model is established based on the energy consumption during cycle operation of various devices which can estimate the total carbon emission of an ACT over a period and is suitable for designing period. Then, with the developed model, an ACT in East China was taken as a case study. Finally, according to various analysis of the data results, the layout suggestion considering the sustainable development of the port is given.

Suggested Citation

  • Nanxi Wang & Daofang Chang & Xiaowei Shi & Jun Yuan & Yinping Gao, 2019. "Analysis and Design of Typical Automated Container Terminals Layout Considering Carbon Emissions," Sustainability, MDPI, vol. 11(10), pages 1-40, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2957-:d:233921
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    as
    1. Thalis Zis & Robin Jacob North & Panagiotis Angeloudis & Washington Yotto Ochieng & Michael Geoffrey Harrison Bell, 2014. "Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 371-398, December.
    2. Martin Alcalde, Enrique & Kim, Kap Hwan & Marchán, Sergi Saurí, 2015. "Optimal space for storage yard considering yard inventory forecasts and terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 101-128.
    3. Chen, Gang & Govindan, Kannan & Yang, Zhongzhen, 2013. "Managing truck arrivals with time windows to alleviate gate congestion at container terminals," International Journal of Production Economics, Elsevier, vol. 141(1), pages 179-188.
    4. Yun Peng & Wenyuan Wang & Ke Liu & Xiangda Li & Qi Tian, 2018. "The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    5. Lee, Byung Kwon & Kim, Kap Hwan, 2010. "Optimizing the block size in container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 120-135, January.
    6. Jenny Nossack & Dirk Briskorn & Erwin Pesch, 2018. "Container Dispatching and Conflict-Free Yard Crane Routing in an Automated Container Terminal," Transportation Science, INFORMS, vol. 52(5), pages 1059-1076, October.
    7. Chen, Gang & Govindan, Kannan & Yang, Zhong-Zhen & Choi, Tsan-Ming & Jiang, Liping, 2013. "Terminal appointment system design by non-stationary M(t)/Ek/c(t) queueing model and genetic algorithm," International Journal of Production Economics, Elsevier, vol. 146(2), pages 694-703.
    8. Akash Gupta & Debjit Roy & René de Koster & Sampanna Parhi, 2017. "Optimal stack layout in a sea container terminal with automated lifting vehicles," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3747-3765, July.
    9. Byung Kwon Lee & Loo Hay Lee & Ek Peng Chew, 2018. "Analysis on high throughput layout of container yards," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5345-5364, August.
    10. Petering, Matthew E.H., 2009. "Effect of block width and storage yard layout on marine container terminal performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 591-610, July.
    11. Liao, Chun-Hsiung & Tseng, Po-Hsing & Cullinane, Kevin & Lu, Chin-Shan, 2010. "The impact of an emerging port on the carbon dioxide emissions of inland container transport: An empirical study of Taipei port," Energy Policy, Elsevier, vol. 38(9), pages 5251-5257, September.
    12. Hamdi Dkhil & Adnan Yassine & Habib Chabchoub, 2018. "Multi-objective optimization of the integrated problem of location assignment and straddle carrier scheduling in maritime container terminal at import," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(2), pages 247-269, February.
    13. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
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    Cited by:

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    3. Bokyung Kim & Geunsub Kim & Moohong Kang, 2022. "Study on Comparing the Performance of Fully Automated Container Terminals during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(15), pages 1-13, August.
    4. Hang Yu & Yiyun Deng & Leijie Zhang & Xin Xiao & Caimao Tan, 2022. "Yard Operations and Management in Automated Container Terminals: A Review," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    5. Wang, Nanxi & Wu, Min & Yuen, Kum Fai, 2023. "Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    7. Xujing Zhang & Yan Chen, 2019. "Carbon Emission Evaluation Based on Multi-Objective Balance of Sewing Assembly Line in Apparel Industry," Energies, MDPI, vol. 12(14), pages 1-19, July.
    8. 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).
    9. Domenico Gattuso & Domenica Savia Pellicanò, 2023. "HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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