IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i6p1813-d149871.html
   My bibliography  Save this article

The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective

Author

Listed:
  • Yun Peng

    (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Wenyuan Wang

    (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Ke Liu

    (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Xiangda Li

    (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Qi Tian

    (State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

The main contribution of this paper is to quantify the impact of the allocation of facilities, including the number of facilities and the fuels adopted by facilities, on carbon emissions. In order to deal with the complex queuing network of container terminals, a simulation model is established with the changing of the number of and the fuel adopted by facilities as inputs. Firstly, the operation process and complex queuing network of container terminals are described to explain why simulation technology needs to be used. Then, various simulation experiments based on a container terminal in Algeria are designed and carried out. Finally, the carbon emissions from facilities and ships at berth and inside container terminals, and the total carbon emissions inside container terminals, are obtained and analyzed. Results show that the emissions from facilities are only a small fraction of the total emissions of container terminals. Improving the number of trucks and yard cranes can help reduce carbon emissions, but when the number continues to rise, the emissions are decreased very slightly. The results obtained and proposed method can be applied to build a green container terminal, which can also be used for similar problems.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1813-:d:149871
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/6/1813/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/6/1813/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Villalba, Gara & Gemechu, Eskinder Demisse, 2011. "Estimating GHG emissions of marine ports--the case of Barcelona," Energy Policy, Elsevier, vol. 39(3), pages 1363-1368, March.
    2. Shucheng Yu & Shuaian Wang & Lu Zhen, 2017. "Quay crane scheduling problem with considering tidal impact and fuel consumption," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 345-368, December.
    3. 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.
    4. Lei Yang & Yiji Cai & Xiaozhe Zhong & Yongqiang Shi & Zhiyong Zhang, 2017. "A Carbon Emission Evaluation for an Integrated Logistics System—A Case Study of the Port of Shenzhen," Sustainability, MDPI, vol. 9(3), pages 1-23, March.
    5. Boysen, Nils & Fliedner, Malte, 2010. "Determining crane areas in intermodal transshipment yards: The yard partition problem," European Journal of Operational Research, Elsevier, vol. 204(2), pages 336-342, July.
    6. Jiang, Xin Jia & Jin, Jian Gang, 2017. "A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 62-75.
    7. Tang, Lixin & Zhao, Jiao & Liu, Jiyin, 2014. "Modeling and solution of the joint quay crane and truck scheduling problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 978-990.
    8. Chen, Lu & Langevin, André & Lu, Zhiqiang, 2013. "Integrated scheduling of crane handling and truck transportation in a maritime container terminal," European Journal of Operational Research, Elsevier, vol. 225(1), pages 142-152.
    9. von Westarp, A. Graf & Schinas, O., 2016. "A fuzzy approach for container positioning considering sustainable profit optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 56-66.
    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. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    2. Lijun Yue & Houming Fan & Chunxin Zhai, 2019. "Joint Configuration and Scheduling Optimization of a Dual-Trolley Quay Crane and Automatic Guided Vehicles with Consideration of Vessel Stability," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    3. Neven Grubisic & Tomislav Krljan & Livia Maglić & Siniša Vilke, 2020. "The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    4. Cheng Hong & Yufang Guo & Yuhong Wang & Tingting Li, 2023. "The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    5. Michael Stein & Michele Acciaro, 2020. "Value Creation through Corporate Sustainability in the Port Sector: A Structured Literature Analysis," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    6. Emma Díaz-Ruiz-Navamuel & Andrés Ortega Piris & Alfonso-Isidro López-Diaz & Miguel A. Gutiérrez & Manuel Andres Roiz & Jesus M. Oria Chaveli, 2021. "Influence of Ships Docking System in the Reduction of CO 2 Emissions in Container Ports," Sustainability, MDPI, vol. 13(9), pages 1-11, April.
    7. 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.
    8. Shaojian Qu & Xinqi Li & Chang Liu & Xufeng Tang & Zhisheng Peng & Ying Ji, 2023. "Two-Stage Robust Programming Modeling for Continuous Berth Allocation with Uncertain Vessel Arrival Time," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    9. Shaobo Liu & Kang He & Xiaofeng Pan & Yangyang Hu, 2023. "Review of Development Trend of Transportation Energy System and Energy Usages in China Considering Influences of Intelligent Technologies," Energies, MDPI, vol. 16(10), pages 1-36, May.
    10. 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.

    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. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    2. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    3. Kizilay, Damla & Hentenryck, Pascal Van & Eliiyi, Deniz T., 2020. "Constraint programming models for integrated container terminal operations," European Journal of Operational Research, Elsevier, vol. 286(3), pages 945-962.
    4. Abou Kasm, Omar & Diabat, Ali & Bierlaire, Michel, 2021. "Vessel scheduling with pilotage and tugging considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    5. Boysen, Nils & Briskorn, Dirk & Meisel, Frank, 2017. "A generalized classification scheme for crane scheduling with interference," European Journal of Operational Research, Elsevier, vol. 258(1), pages 343-357.
    6. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    7. Lu Zhen & Shuaian Wang & Kai Wang, 2016. "Terminal allocation problem in a transshipment hub considering bunker consumption," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(7), pages 529-548, October.
    8. 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.
    9. Hongming Li & Xintao Li, 2022. "A Branch-and-Bound Algorithm for the Bi-Objective Quay Crane Scheduling Problem Based on Efficiency and Energy," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
    10. 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.
    11. Yun Peng & Xiangda Li & Wenyuan Wang & Ke Liu & Xiao Bing & Xiangqun Song, 2018. "A Method for Determining the Required Power Capacity of an On-Shore Power System Considering Uncertainties of Arriving Ships," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    12. Qin, Tianbao & Du, Yuquan & Chen, Jiang Hang & Sha, Mei, 2020. "Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel," European Journal of Operational Research, Elsevier, vol. 285(3), pages 884-901.
    13. Amir Gharehgozli & Debjit Roy & Suruchika Saini & Jan-Kees Ommeren, 2023. "Loading and unloading trains at the landside of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 549-575, September.
    14. T. Jonker & M. B. Duinkerken & N. Yorke-Smith & A. Waal & R. R. Negenborn, 2021. "Coordinated optimization of equipment operations in a container terminal," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 281-311, June.
    15. Khandaker Rasel Hasan & Wei Zhang & Wenming Shi, 2023. "A Sustainable Port-Hinterland Container Transport System: The Simulation-Based Scenarios for CO 2 Emission Reduction," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    16. Gang Ren & Xiaohan Wang & Jiaxin Cai & Shujuan Guo, 2021. "Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    17. Nabil Nehme & Bacel Maddah & Isam A. Kaysi, 2021. "An integrated multi-ship crane allocation in Beirut Port container terminal," Operational Research, Springer, vol. 21(3), pages 1743-1761, September.
    18. Zheng, Shiyuan & Ge, Ying-En & Fu, Xiaowen & Nie, Yu (Marco) & Xie, Chi, 2017. "Modeling collusion-proof port emission regulation of cargo-handling activities under incomplete information," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 543-567.
    19. Lu Zhen & Shucheng Yu & Shuaian Wang & Zhuo Sun, 2019. "Scheduling quay cranes and yard trucks for unloading operations in container ports," Annals of Operations Research, Springer, vol. 273(1), pages 455-478, February.
    20. Liu, Baoli & Li, Zhi-Chun & Sheng, Dian & Wang, Yadong, 2021. "Integrated planning of berth allocation and vessel sequencing in a seaport with one-way navigation channel," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 23-47.

    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:10:y:2018:i:6:p:1813-:d:149871. 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.