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Assessment of Explosion Safety Status within the Area of an LNG Terminal in a Function of Selected Parameters

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  • Agnieszka Magdalena Kalbarczyk-Jedynak

    (Department of Chemistry, Institute of Mathematics, Physics and Chemistry, Maritime University of Szczecin, 70-500 Szczecin, Poland)

  • Magdalena Ślączka-Wilk

    (Department of Chemistry, Institute of Mathematics, Physics and Chemistry, Maritime University of Szczecin, 70-500 Szczecin, Poland)

  • Magdalena Kaup

    (Department of Rescue and Risk Management, Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland)

  • Wojciech Ślączka

    (Department of Rescue and Risk Management, Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland)

  • Dorota Łozowicka

    (Department of Rescue and Risk Management, Faculty of Navigation, Maritime University of Szczecin, 70-500 Szczecin, Poland)

Abstract

This paper examines the issues of designing optimization tasks with the objective of ensuring the safety and continuation of transportation processes. Modelling the processes that are a consequence of a breakdown is a crucial issue enabling an increase of safety at selected stages of transport. This paper elaborates on the matter of modelling hazardous situations resulting from an uncontrolled LNG release due to a crash or damage to a ship’s hull. This paper demonstrates subsequent stages of modelling along with theoretical assumptions and finally it presents the results of simulation calculations for various scenarios of LNG releases. The article shows the complexity of modelling at a time when variable atmospheric conditions occur, which hinder the planning of rescue operations in the event of an uncontrolled LNG release into the atmosphere. It needs to be remembered that making decisions in critical situations and developing proper procedures at a time when people’s lives are at risk or in the face of an environmental pollution incident constitutes one of the most significant components of effective management in transport. Two LNG release scenarios are presented in this article: catastrophic rupture and leak, for which danger zone dimensions were calculated. Simulations were conducted with the use of a tool called Phast ver. 8.23 for LNG. Calculations were made in a function of variable weather conditions and for two values of Pasquill coefficients.

Suggested Citation

  • Agnieszka Magdalena Kalbarczyk-Jedynak & Magdalena Ślączka-Wilk & Magdalena Kaup & Wojciech Ślączka & Dorota Łozowicka, 2022. "Assessment of Explosion Safety Status within the Area of an LNG Terminal in a Function of Selected Parameters," Energies, MDPI, vol. 15(11), pages 1-34, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4057-:d:829253
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    References listed on IDEAS

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    1. Photis M. Panayides & Andria E. Alexandrou & Stelios E. Alexandrou, 2021. "Green Supply Chain Management, Environmental Controls and Regulations in Shipping," Progress in IS, in: Mikael Lind & Michalis Michaelides & Robert Ward & Richard T. Watson (ed.), Maritime Informatics, pages 275-292, Springer.
    2. Vladimír Hönig & Petr Prochazka & Michal Obergruber & Luboš Smutka & Viera Kučerová, 2019. "Economic and Technological Analysis of Commercial LNG Production in the EU," Energies, MDPI, vol. 12(8), pages 1-17, April.
    3. Borja Ferreiro & Jose Andrade & Carlota Paz-Quintáns & Purificación López-Mahía & Soledad Muniategui-Lorenzo, 2022. "New Ways for the Advanced Quality Control of Liquefied Natural Gas," Energies, MDPI, vol. 15(1), pages 1-18, January.
    4. Xue Li & Ning Zhou & Bing Chen & Qian Zhang & Vamegh Rasouli & Xuanya Liu & Weiqiu Huang & Lingchen Kong, 2021. "Numerical Simulation of Leakage and Diffusion Process of LNG Storage Tanks," Energies, MDPI, vol. 14(19), pages 1-14, October.
    5. Sung-Hun Son & Kibum Kim, 2020. "Simulation Model of Regenerative LNG Refrigeration System for Re-Liquification of BOG," Energies, MDPI, vol. 13(15), pages 1-14, July.
    6. Randeep Agarwal & Thomas J. Rainey & S. M. Ashrafur Rahman & Ted Steinberg & Robert K. Perrons & Richard J. Brown, 2017. "LNG Regasification Terminals: The Role of Geography and Meteorology on Technology Choices," Energies, MDPI, vol. 10(12), pages 1-19, December.
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