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Leakage analysis and leakage monitoring system design for LNG tanker filling process

  • 0Key Laboratory of Oil and Gas Equipment, Ministry of Education-Southwest Petroleum University, Chengdu Sichua, China.
Scientific Reports +

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December 31, 2024

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December 31, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

LNG filling equipment leaks are a risk. Numerical analysis shows larger leaks spread higher, while wind affects diffusion patterns. A TDLAS-based monitoring system offers effective gas leak detection.

Area Of Science

  • Chemical Engineering
  • Safety Engineering
  • Environmental Science

Background

  • LNG filling equipment failure, particularly sealing parts, causes leaks due to low-temperature, high-pressure operational stress.
  • Understanding LNG diffusion dynamics is critical for assessing risks and developing effective safety measures in filling stations.

Purpose Of The Study

  • To analyze the causes of LNG filling equipment leakage.
  • To numerically simulate LNG diffusion based on varying leak hole sizes and wind speeds.
  • To develop and evaluate a gas leak monitoring system for LNG filling stations.

Main Methods

  • Analysis of LNG filling equipment failure mechanisms.
  • Numerical simulation of natural gas diffusion under different leak diameters and wind conditions.
  • Development of a gas leak monitoring system utilizing Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology.

Main Results

  • Leaks with equivalent hole diameters >4 mm can exceed 5 m in height within 2 s without wind.
  • Natural gas concentration decreases with height; a 50-60% reduction is observed at 5 m compared to 0.5 m.
  • Wind bends the diffusion plume downwind, with bending severity inversely related to leak hole diameter; optimal sensor angles identified.

Conclusions

  • Leakage in LNG filling equipment is a significant safety concern requiring robust monitoring.
  • The study provides critical data on LNG diffusion behavior, informing risk assessment and safety protocols.
  • The TDLAS-based system offers an effective solution for real-time gas leak detection in LNG filling environments.

Keywords:

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