Conventional Event Tree Analysis on Emergency Release of Liquefied Natural Gas
Tomasz Zwęgliński
Additional contact information
Tomasz Zwęgliński: Internal Security Institute, SGSP (The Main School of Fire Service), 01-629 Warsaw, Poland
IJERPH, 2022, vol. 19, issue 5, 1-12
Abstract:
Liquefied natural gas (LNG) is stored in facilities located in urban areas and transported over public roads. A shift towards the broader use of LNG is economically and environmentally justified. However, it triggers an obvious need for an investigation of LNG risk through elaboration and validation of potential scenarios that the hazard might generate if it materialises. This background knowledge and past experiences were elaborated in the course of a literature review and field experiments towards designing the conventional event trees on LNG emergency release for three different units, such as a storage tank, a pipeline and in road or railway transportation. The research allowed us to answer the following question: what are the key scenario lines LNG incidents might follow? Thus, it constitutes a valuable tool for designing, planning, organising, executing and evaluating trainings and exercises on LNG emergencies.
Keywords: liquefied natural gas; training; exercises; emergency response; event tree analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/5/2961/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/5/2961/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:5:p:2961-:d:763350
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().