The commercialization of liquefied natural gas (LNG) offers significant benefits to various industries; however, its chemical properties pose substantial risks, potentially resulting in catastrophic incidents. The transportation, storage, and utilization of flammable substances like LNG can lead to industrial accidents, such as fires and explosions, if not adequately controlled. To mitigate these risks, conducting a comprehensive hazard and risk analysis at the worksite and implementing appropriate safety measures are essential. This study focuses on analyzing potential fire and explosion scenarios that may arise in a port area engaged in LNG operations, employing the Functional Resonance Analysis Method (FRAM). Accident processes are examined through functional analysis, identifying 20 distinct functions. Of these, 7 functions were categorized as high risk, 5 as medium risk, and 8 as low risk. Based on the findings, this study provides recommendations for safety measures aimed at safeguarding both occupational health and environmental integrity.
The commercialization of liquefied natural gas (LNG) offers significant benefits to various industries; however, its chemical properties pose substantial risks, potentially resulting in catastrophic incidents. The transportation, storage, and utilization of flammable substances like LNG can lead to industrial accidents, such as fires and explosions, if not adequately controlled. To mitigate these risks, conducting a comprehensive hazard and risk analysis at the worksite and implementing appropriate safety measures are essential. This study focuses on analyzing potential fire and explosion scenarios that may arise in a port area engaged in LNG operations, employing the Functional Resonance Analysis Method (FRAM). Accident processes are examined through functional analysis, identifying 20 distinct functions. Of these, 7 functions were categorized as high risk, 5 as medium risk, and 8 as low risk. Based on the findings, this study provides recommendations for safety measures aimed at safeguarding both occupational health and environmental integrity.
| Primary Language | English |
|---|---|
| Subjects | Modelling and Simulation |
| Journal Section | Research Article |
| Authors | |
| Submission Date | January 3, 2025 |
| Acceptance Date | April 14, 2025 |
| Publication Date | April 30, 2025 |
| Published in Issue | Year 2025 Volume: 6 Issue: 1 |
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