Fire Accident Inversion Method Base on STAMP and Topological Network for LNG Depot

Abstract

Natural Gas is becoming an important energy source option and the capacity of the world to produce it is surging. Natural gas is usually liquefied for shipping and storage. Fire and explosion are among the most dangerous accidents in facilities at LNG Depot; especially pool fire is the most frequent incidents. At the same time the chain of accidents may lead to extremely severe consequences. In order to avoid such calamity a detail study on accident inversion technology is required to save human lives and prohibit the destruction of LNG Depot. In this thesis a topological network based fire accident inversion method for LNG tank fire accident is proposed. Firstly, analyze the LNG depot with the STAMP/STPA method. Then, the topology model of LNG tank fire inversion is established, and the optimal estimator of the shortest path is proposed according to the weighted edge topological network structure, based on which the fire location can be determined. Case study is applied to a LNG Depot. The results show that the position of the fire source calculated by the proposed method is the same as that of the simulated accident by FDS, which proves the feasibility of the method and provides a basis for reducing the fire losses and preventing accidents of LNG.