IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i10p2957-d233921.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/10/2957/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/10/2957/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Claudia Durán & Ivan Derpich & Raúl Carrasco, 2022. "Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    6. 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.
    7. 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).
    8. 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.
    9. Xiaojun Li & Ran Zhou & Lequn Zhu, 2022. "The Influence of Operation Platform on the Energy Consumption of Container Handling," Sustainability, MDPI, vol. 15(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    2. Ngoc Anh Dung Do & Izabela Ewa Nielsen & Gang Chen & Peter Nielsen, 2016. "A simulation-based genetic algorithm approach for reducing emissions from import container pick-up operation at container terminal," Annals of Operations Research, Springer, vol. 242(2), pages 285-301, July.
    3. Dhingra, Vibhuti & Kumawat, Govind Lal & Roy, Debjit & Koster, René de, 2018. "Solving semi-open queuing networks with time-varying arrivals: An application in container terminal landside operations," European Journal of Operational Research, Elsevier, vol. 267(3), pages 855-876.
    4. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "A review of energy efficiency in ports: Operational strategies, technologies and energy management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 170-182.
    5. Torkjazi, Mohammad & Huynh, Nathan & Shiri, Samaneh, 2018. "Truck appointment systems considering impact to drayage truck tours," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 208-228.
    6. Li, Dongjun & Dong, Jing-Xin & Song, Dong-Ping & Hicks, Christian & Singh, Surya Prakash, 2020. "Optimal contract design for the exchange of tradable truck permits at multiterminal ports," International Journal of Production Economics, Elsevier, vol. 230(C).
    7. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Vidal-Holguín, Carlos Julio, 2022. "A rail-road transshipment yard picture," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    8. Lange, Ann-Kathrin & Nellen, Nicole & Jahn, Carlos, 2022. "Truck appointment systems: How can they be improved and what are their limits?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 615-655, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Azab, Ahmed & Morita, Hiroshi, 2022. "Coordinating truck appointments with container relocations and retrievals in container terminals under partial appointments information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    10. Lange, Ann-Kathrin & Kreuz, Felix & Langkau, Sven & Jahn, Carlos & Clausen, Uwe, 2020. "Defining the quota of truck appointment systems," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 211-246, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. 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.
    12. Kumawat, Govind Lal & Roy, Debjit & De Koster, René & Adan, Ivo, 2021. "Stochastic modeling of parallel process flows in intra-logistics systems: Applications in container terminals and compact storage systems," European Journal of Operational Research, Elsevier, vol. 290(1), pages 159-176.
    13. Caldeira dos Santos, Murillo & Pereira, Fábio Henrique, 2021. "Development and application of a dynamic model for road port access and its impacts on port-city relationship indicators," Journal of Transport Geography, Elsevier, vol. 96(C).
    14. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Xie, Ying, 2022. "Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    15. 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.
    16. Heilig, Leonard & Lalla-Ruiz, Eduardo & Voß, Stefan, 2017. "Multi-objective inter-terminal truck routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 178-202.
    17. Facchini, F. & Digiesi, S. & Mossa, G., 2020. "Optimal dry port configuration for container terminals: A non-linear model for sustainable decision making," International Journal of Production Economics, Elsevier, vol. 219(C), pages 164-178.
    18. Schwarz, Justus Arne & Selinka, Gregor & Stolletz, Raik, 2016. "Performance analysis of time-dependent queueing systems: Survey and classification," Omega, Elsevier, vol. 63(C), pages 170-189.
    19. Jacobsson, Stefan & Arnäs, Per Olof & Stefansson, Gunnar, 2018. "Differentiation of access management services at seaport terminals: Facilitating potential improvements for road hauliers," Journal of Transport Geography, Elsevier, vol. 70(C), pages 256-264.
    20. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Zeng, Qingcheng, 2020. "The stochastic container relocation problem with flexible service policies," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 116-163.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2957-:d:233921. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.