Automatic Synthesis of Robust Accident Scenarios for Chemical Processes

この論文にアクセスする

この論文をさがす

著者

    • Choi Seungjune CHOI Seungjune
    • Department of Chemical and Biological Engineering, School of Chemical and Biological Engineering, Seoul National University
    • Lee Chang Jun LEE Chang Jun
    • Department of Chemical and Biological Engineering, School of Chemical and Biological Engineering, Seoul National University
    • YOON En Sup
    • Department of Chemical and Biological Engineering, School of Chemical and Biological Engineering, Seoul National University

抄録

A new strategy for producing robust accident scenarios in quantitative risk assessment, which is performed in the process design or operation steps, is proposed. Worldwide chemical processes are in need of off-site risk assessment as well as the on-site risk management. Most governments over the world require industrial companies to submit proper emergency plans through the off-site risk assessment. However, there have been no systematic approaches or criteria for generating virtual accident scenarios reasonably, and it is very difficult to get the unified or coherent assessment results. To get over these shortcomings, this study proposes a strategy for analyzing process elements and then selecting and generating an accident scenario that simulates the worst accident most likely to happen, which should be given foremost consideration. The proposed scenario reasoning scheme consists of three types of knowledge base and four reasoning algorithms. The scenario reasoning structure consists of the following steps: macro decomposition, micro decomposition, equipment analysis, scenario selection, and the consequence analysis. In the macro decomposition, a process unit is selected through its function and the meteorological condition around the area. In the second step, the equipment behavior which consists of its property, flow rate, operating condition, safety devices, age, accident history and repaired history is analyzed using an equipment-screening algorithm, which is a sequential reasoning method. The analyzed process elements are ranked and risk grades are determined. According to the grades, risk assessment is performed. The result of the analysis enhances the reliability of the generated risk scenario and prevents the risks from being overestimated. The obtained result should be more helpful in the proper process design and emergency planning.

収録刊行物

  • Journal of chemical engineering of Japan  

    Journal of chemical engineering of Japan 41(5), 384-393, 2008-05-01 

    The Society of Chemical Engineers, Japan

参考文献:  13件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10021110290
  • NII書誌ID(NCID)
    AA00709658
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    00219592
  • NDL 記事登録ID
    9498297
  • NDL 雑誌分類
    ZP1(科学技術--化学・化学工業)
  • NDL 請求記号
    Z53-R395
  • データ提供元
    CJP書誌  NDL  J-STAGE 
ページトップへ