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Development of a model for assessing Greenhouse Gas (GHG) emissions from terminal and drayage operations

Author

Listed:
  • Giorgos E. Konstantzos

    (National Technical University of Athens)

  • Georgios K. D. Saharidis

    (University of Thessaly)

  • Maria Loizidou

    (National Technical University of Athens)

Abstract

Within a seaport terminal, the main sources of emissions include (1) building use and maintenance, (2) ocean-going vessels and harbour crafts, (3) cargo handling equipment and (4) heavy-duty vehicles (HDV) used for the transportation of the containers (which considered to be one of the most polluting elements of port operations). The main objective of this work was the development of a mathematical model for the quantification of Greenhouse Gas emissions produced by HDV during container transport in ports. Several models and tools have been developed for this purpose; however most of them utilize an over-simplified fuel and energy consumption-based approach. Firstly, a critical review of emissions calculations models was performed, and following the results of this analysis COPERT was chosen to be used as a basis for modeling the fleet in port operation. The next step was to analyse in depth COPERT’s methodology and equations in order to identify potential limitations. The following step was to evaluate and address those limitations by introducing new elements and factors (e.g. emissions from stop-and-go traffic, idling, emissions increase due to air conditioning operation etc.). The final step was the modification of COPERT’s equation and the development of the improved model.

Suggested Citation

  • Giorgos E. Konstantzos & Georgios K. D. Saharidis & Maria Loizidou, 2017. "Development of a model for assessing Greenhouse Gas (GHG) emissions from terminal and drayage operations," Operational Research, Springer, vol. 17(3), pages 807-819, October.
    • Handle: RePEc:spr:operea:v:17:y:2017:i:3:d:10.1007_s12351-016-0242-0
    DOI: 10.1007/s12351-016-0242-0
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    References listed on IDEAS

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    1. 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:

    1. Lingli Wang & Chuanxu Wang & Rongbing Huang, 2022. "Port-based supply chain decisions considering governmental pollution tax," Operational Research, Springer, vol. 22(5), pages 4769-4800, November.
    2. Chassiakos, Anastasios & Jula, Hossein & VanderBeek, Timothy, 2018. "Dynamic Scheduling of Chassis Movements with Chassis Processing Facilities in the Loop," Institute of Transportation Studies, Working Paper Series qt1gt9w6wc, Institute of Transportation Studies, UC Davis.
    3. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    4. 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.

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