IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p9940-d1176726.html
   My bibliography  Save this article

Simulating Operating Performance of Alternative Configurations of LNG Bunkering Stations

Author

Listed:
  • Agostino Bruzzone

    (Department of Mechanical Engineering, University of Genoa, 16100 Genoa, Italy)

  • Anna Sciomachen

    (Department of Economics and Business Studies, University of Genoa, 16100 Genoa, Italy)

Abstract

Recently, due to the great need to promote environmentally sustainable maritime transport, alternative energy sources to traditional fossil fuels have been proposed to reduce ship emissions. Among few alternative scenarios, most experts recognize Liquefied Natural Gas (LNG) as the most promising solution in the short to medium term. However, there are still some critical issues related to the future expansion of bunkering stations and the LNG-fuelled fleet. Firstly, there is the need for a sufficiently extensive international network of bunkering facilities. Secondly, the layout and location of bunkering stations impact the efficiency of ship bunkering operations, cost reduction and the safety of the surrounding areas. Last, the in-progress Russian-Ukrainian conflict is causing serious unbalances in gas supply and prices, especially for Europe. Specifically, in the case of Italy, gas imports represent the seventh most imported commodity. Due to the changed geopolitical scenarios, interest has arisen in investigating the technical and operational characteristics of LNG bunkering stations and comparing different configurations with a view to increasing Italy’s independence from other foreign countries, focusing on degasifies that could promote new infrastructures that make available LNG in ports. In this paper we highlight the importance of reducing ship emissions and investigate some technical and operational characteristics of LNG bunkering stations. We present a simulation study to analyse quantitatively the operating performance of different LNG bunkering technologies in a port terminal and their impact on the efficiency and overall cost within the whole goods’ supply chain. In particular, we evaluate and compare bunkering time, throughput and refuelling costs in alternative layouts, referring to marine terminals located near urban areas. The aim of this research is to verify whether ports with infrastructure embedded in metropolitan areas could provide, safely, a valuable contribution to the green transition by efficiently handling an adequate level of LNG supply, especially referring to the present Italian interest in increasing independence from foreign countries. For this purpose, we present four dynamic discrete event simulations of all the main LNG bunkering configurations and present their dynamic performance sampled over two consecutive years after a warmup period of 6 months. The simulation conceptual models have been created by the authors based on analyses of those configurations and then processed and implemented within the simulation software Witness Horizon 23 ® , used for experimentation. This is the first time that a simulation study is presented for comparing different configuration of LNG bunkering stations. The results presented here confirm that simulation is a key science to address these complex problems and it represents a major added value for the development of new infrastructures embedded in supply chains and able to favour green transition. Concerning the present study, the simulation output reveals that, although the increase in the price of LNG over the past year has had a strong negative impact on the propensity to activate LNG refuelling stations at maritime terminals, Truck-To-Ship, or Ship-to-Ship with small feeder ships, and Port-To-Ship configurations appear to be flexible and particularly suitable for port terminals located near urban areas. However, the final the choice of the most suitable LNG bunkering station requires further and specific inside investigation as well as considerations on the Decision Maker Strategies and Attitudes.

Suggested Citation

  • Agostino Bruzzone & Anna Sciomachen, 2023. "Simulating Operating Performance of Alternative Configurations of LNG Bunkering Stations," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:9940-:d:1176726
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/9940/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/13/9940/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ryuichi Shibasaki & Kei Kanamoto & Takeshi Suzuki, 2020. "Estimating global pattern of LNG supply chain: a port-based approach by vessel movement database," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(2), pages 143-171, February.
    2. Liu, Baoli & Li, Zhi-Chun & Wang, Yadong, 2023. "A branch-and-price heuristic algorithm for the bunkering operation problem of a liquefied natural gas bunkering station in the inland waterways," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 145-170.
    3. Aram Lee & Jeonghwan Kim, 2023. "Analysis of Bargaining Power between the EU and Russia by Altering Gas Supply Network Structure," Sustainability, MDPI, vol. 15(5), pages 1-12, March.
    4. Jingwen Qi & Shuaian Wang, 2023. "LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
    5. Styliani Livaniou & Georgios A. Papadopoulos, 2022. "Liquefied Natural Gas (LNG) as a Transitional Choice Replacing Marine Conventional Fuels (Heavy Fuel Oil/Marine Diesel Oil), towards the Era of Decarbonisation," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    6. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Yang, Zaili, 2019. "A novel policy making aid model for the development of LNG fuelled ships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 29-44.
    7. Cimpeanu, Radu & Devine, Mel T. & O’Brien, Conor, 2017. "A simulation model for the management and expansion of extended port terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 105-131.
    Full references (including those not matched with items on IDEAS)

    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. Eisuke Watanabe & Ryuichi Shibasaki, 2023. "Extraction of Bunkering Services from Automatic Identification System Data and Their International Comparisons," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    2. 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).
    3. Kei Kanamoto & Liwen Murong & Minato Nakashima & Ryuichi Shibasaki, 2021. "Can maritime big data be applied to shipping industry analysis? Focussing on commodities and vessel sizes of dry bulk carriers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 211-236, June.
    4. Perčić, Maja & Vladimir, Nikola & Fan, Ailong, 2021. "Techno-economic assessment of alternative marine fuels for inland shipping in Croatia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    5. Wang, Junqi & Cao, Hongjun, 2022. "Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model," Resources Policy, Elsevier, vol. 75(C).
    6. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.
    7. 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.
    8. Ivan Smajla & Daria Karasalihović Sedlar & Branko Drljača & Lucija Jukić, 2019. "Fuel Switch to LNG in Heavy Truck Traffic," Energies, MDPI, vol. 12(3), pages 1-19, February.
    9. Yi-Hui Liao & Hsuan-Shih Lee, 2023. "Using a Directional Distance Function to Measure the Environmental Efficiency of International Liner Shipping Companies and Assess Regulatory Impact," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    10. Xu Tang & Dali Wu & Sanming Wang & Xuhai Pan, 2023. "Research on Real-Time Prediction of Hydrogen Sulfide Leakage Diffusion Concentration of New Energy Based on Machine Learning," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    11. Bilgili, Levent, 2021. "Comparative assessment of alternative marine fuels in life cycle perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    12. Ning Lin & Robert E. Brooks, 2021. "Global Liquified Natural Gas Trade under Energy Transition," Energies, MDPI, vol. 14(20), pages 1-30, October.
    13. Yu Yong Ung & Park Sung Ho & Jung Dong Ho & Lee Chang Hee, 2020. "Improving Liquefied Natural Gas Bunkering in Korea through the Chinese and Japanese Experiences," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    14. Feng, Xuejun & Hu, Sangen & Gu, Weihua & Jin, Xin & Lu, Yuan, 2020. "A simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    15. Perčić, Maja & Vladimir, Nikola & Fan, Ailong, 2020. "Life-cycle cost assessment of alternative marine fuels to reduce the carbon footprint in short-sea shipping: A case study of Croatia," Applied Energy, Elsevier, vol. 279(C).
    16. Verger, Thibault & Azimov, Ulugbek & Adeniyi, Oladapo, 2022. "Biomass-based fuel blends as an alternative for the future heavy-duty transport: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    17. Wang, Xinjian & Xia, Guoqing & Zhao, Jian & Wang, Jin & Yang, Zaili & Loughney, Sean & Fang, Siming & Zhang, Shukai & Xing, Yongheng & Liu, Zhengjiang, 2023. "A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    18. Gi-Young Chae & Seung-Hyun An & Chul-Yong Lee, 2021. "Demand Forecasting for Liquified Natural Gas Bunkering by Country and Region Using Meta-Analysis and Artificial Intelligence," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    19. Liu, Yan & Shi, Xunpeng & Laurenceson, James, 2020. "Dynamics of Australia's LNG export performance: A modified constant market shares analysis," Energy Economics, Elsevier, vol. 89(C).
    20. Dai, Lei & Jing, Danyue & Hu, Hao & Wang, Zhaojing, 2021. "An environmental and techno-economic analysis of transporting LNG via Arctic route," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 56-71.

    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:15:y:2023:i:13:p:9940-:d:1176726. 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.