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Numerical Simulation of Leakage and Diffusion Process of LNG Storage Tanks

Author

Listed:
  • Xue Li

    (School of Petroleum Engineering, Changzhou University, Changzhou 213164, China
    Jiangsu Key Laboratory of Oil-Gas Storage and Transportation Technology, Changzhou 213164, China)

  • Ning Zhou

    (School of Petroleum Engineering, Changzhou University, Changzhou 213164, China)

  • Bing Chen

    (Institute of Industrial Safety, China Academy of Safety Science and Technology, Beijing 100012, China)

  • Qian Zhang

    (School of Petroleum Engineering, Changzhou University, Changzhou 213164, China)

  • Vamegh Rasouli

    (College of Engineering & Mines, University of North Dakota, Grand Forks, ND 58202, USA)

  • Xuanya Liu

    (Tianjin Fire Research Institute of MEM, Tianjin 300381, China)

  • Weiqiu Huang

    (School of Petroleum Engineering, Changzhou University, Changzhou 213164, China)

  • Lingchen Kong

    (Changzhou Institute of Technology, Changzhou 213032, China)

Abstract

To investigate the evolution process of LNG (Liquefied Natural Gas) liquid pool and gas cloud diffusion, the Realizable k - ε model and Eluerian model were used to numerically simulate the liquid phase leakage and diffusion process of LNG storage tanks. The experimental results showed that some LNG flashed and vaporized rapidly to form a combustible cloud during the continuous leakage. The diffusion of the explosive cloud was divided into heavy gas accumulation, entrainment heat transfer, and light gas drift. The vapor cloud gradually separated into two parts from the whole “fan leaf shape”. One part was a heavy gas cloud; the other part was a light gas cloud that spread with the wind in the downwind direction. The change of leakage aperture had a greater impact on the whole spill and dispersion process of the storage tank. The increasing leakage aperture would lead to 10.3 times increase in liquid pool area, 78.5% increase in downwind dispersion of methane concentration at 0.5 LFL, 22.6% increase in crosswind dispersion of methane concentration at 0.5 LFL, and 249% increase in flammable vapor cloud volume. Within the variation range of the leakage aperture, the trend of the gas cloud diffusion remained consistent, but the time for the liquid pool to keep stable and the gas cloud to enter the next diffusion stage was delayed. The low-pressure cavity area within 200 m of the leeward surface of the storage tank would accumulate heavy gas for a long time, forming a local high concentration area, which should be an area of focus for alert prediction.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6282-:d:648704
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    References listed on IDEAS

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    1. Necci, Amos & Argenti, Francesca & Landucci, Gabriele & Cozzani, Valerio, 2014. "Accident scenarios triggered by lightning strike on atmospheric storage tanks," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 30-46.
    2. Eser, P. & Chokani, N. & Abhari, R., 2019. "Impact of Nord Stream 2 and LNG on gas trade and security of supply in the European gas network of 2030," Applied Energy, Elsevier, vol. 238(C), pages 816-830.
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    Cited by:

    1. 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.
    2. 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.

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