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Dynamic boil-off characterization for discharge process of LNG vehicle tank

Author

Listed:
  • Deng, Pingping
  • Liang, Jierong
  • Wu, Yongqiang
  • Li, Tingxun

Abstract

This study aims to find the optimal boil-off gas (BOG) recovery procedure during the regular LNG vehicle tank maintenance. The BOG discharge process links to rapid depressurization and other important physical characteristics. We set up a full-scale field prototype and test on different initial working conditions. A numerical model was developed accounting for fluid mechanics, interphase heat and mass transfer, which had been verified with the experiments. Based on experimental results and model predictions, we characterized the instantaneous thermodynamic properties of BOG and the relationship between discharge mass and discharge time. In practical situations, spending too much time in BOG recovering would affect the regular maintenances of the vehicle tank. Designing a reasonable recovery time for each tank is crucial to achieve the maximum BOG recovery efficiency. Finally, the mappings of recovery time and the equivalent recovery rate under different initial conditions are established to guide the design of practical operating scheme.

Suggested Citation

  • Deng, Pingping & Liang, Jierong & Wu, Yongqiang & Li, Tingxun, 2019. "Dynamic boil-off characterization for discharge process of LNG vehicle tank," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219314859
    DOI: 10.1016/j.energy.2019.07.143
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    Citations

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    Cited by:

    1. Zhou, Mi & Ma, Shuhao & Zhang, Naiqiang, 2023. "Experimental investigation of LPG-releasing processes with varied damage sizes on a pressurized vessel," Energy, Elsevier, vol. 276(C).
    2. Duan, Zhongdi & Zhu, Yifeng & Wang, Chenbiao & Yuan, Yuchao & Xue, Hongxiang & Tang, Wenyong, 2023. "Numerical and theoretical prediction of the thermodynamic response in marine LNG fuel tanks under sloshing conditions," Energy, Elsevier, vol. 270(C).
    3. Duan, Zhongdi & Xue, Hongxiang & Gong, Xueru & Tang, Wenyong, 2021. "A thermal non-equilibrium model for predicting LNG boil-off in storage tanks incorporating the natural convection effect," Energy, Elsevier, vol. 233(C).
    4. Kim, Jeong Hwan & Lee, Min-Kyung & Jang, Wookil & Lee, Jae-Hun, 2023. "Strain behavior of very new high manganese steel for 200,000 m3 LNG cryogenic storage tank," Energy, Elsevier, vol. 271(C).

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