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Risk Assessment of Human Factors of Logistic Handling of Deliveries at an LNG Terminal

Author

Listed:
  • Agnieszka A. Tubis

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Emilia T. Skupień

    (Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland)

  • Stefan Jankowski

    (Department of Maritime Simulation, Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland)

  • Jacek Ryczyński

    (Faculty of Security Sciences, Institute of Safety Engineering, Military University of Land Forces (MULF), 51-147 Wrocław, Poland)

Abstract

There has been growing interest in fuel supply chains regarding transport safety and LNG reloading. This is due to the increasing consumption of this gas in the economy to create sustainable transport systems. Poland is in the phase of energy transformation, which increases the demand for this type of alternative fuel. For this reason, the number of logistic operations carried out by Polish sea terminals handling LNG deliveries is increasing. This article aims to present a method for assessing the risk of adverse events occurring during the logistic handling of LNG deliveries at a port terminal and its implementation for a selected LNG terminal in Poland. Fuzzy logic methodology was used to assess the risk due to the lack of access to specific historical data on identified events. The conducted analysis considers the guidelines applicable at the LNG terminal, described in the Terminal Operation Manual , and the specific reloading conditions occurring in the tested Polish gas terminal. Based on the analysis conducted in cooperation with experts, scenarios of possible adverse events were identified and subjected to a risk assessment. Based on the conducted analysis, those events were distinguished and their risk of occurrence.

Suggested Citation

  • Agnieszka A. Tubis & Emilia T. Skupień & Stefan Jankowski & Jacek Ryczyński, 2022. "Risk Assessment of Human Factors of Logistic Handling of Deliveries at an LNG Terminal," Energies, MDPI, vol. 15(8), pages 1-24, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2750-:d:789840
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    References listed on IDEAS

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    1. Jacek Ryczyński & Agnieszka A. Tubis, 2021. "Tactical Risk Assessment Method for Resilient Fuel Supply Chains for a Military Peacekeeping Operation," Energies, MDPI, vol. 14(15), pages 1-24, August.
    2. Xie, Cheng & Huang, Liwen & Wang, Rui & Deng, Jian & Shu, Yaqing & Jiang, Dan, 2022. "Research on quantitative risk assessment of fuel leak of LNG-fuelled ship during lock transition process," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Noh, Yeelyong & Chang, Kwangpil & Seo, Yutaek & Chang, Daejun, 2014. "Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 76-82.
    4. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    5. Evangelos Bellos & Georgios Chatzistelios & Angeliki Deligianni & Vrassidas Leopoulos, 2021. "Stakeholders and Risks in Liquified Natural Gas Bunkering Projects: The Hidden Link," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    6. Lauro J. Martinez & James H. Lambert, 2010. "Prioritising sources of risk at liquefied natural gas storage terminals in Mexico," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 1(4), pages 363-383.
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    Cited by:

    1. Artur Kierzkowski & Agnieszka A. Tubis, 2023. "Transportation Systems Modeling, Simulation and Analysis with Reference to Energy Supplying," Energies, MDPI, vol. 16(8), pages 1-6, April.
    2. Hongjun Fan & Hossein Enshaei & Shantha Gamini Jayasinghe, 2022. "Formation of Dataset for Fuzzy Quantitative Risk Assessment of LNG Bunkering SIMOPs," Data, MDPI, vol. 7(5), pages 1-13, May.

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