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An automated system for batch hazard and operability studies

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  • Palmer, C.
  • Chung, P.W.H.

Abstract

A widely used hazard identification technique within the process industry is HAZOP (hazard and operability study). To overcome the repetitive and time-consuming nature of the technique automated systems are being developed. This work considers batch processes, in which material undergoes processing in distinct stages within the plant equipment items according to a set of operating procedures, rather than each equipment item remaining in a “steady state†, as is normal for continuous plants. In batch plants deviations that can lead to hazards can arise both from deviations from operating procedures and process variable deviations. Therefore, the effect of operator actions needs to be considered. CHECKOP is an automated batch HAZOP identification system being developed as a joint project between HAZID Technologies Ltd. and Loughborough University. CHECKOP uses a state-based approach to HAZOP analysis. CHECKOP takes a plant description and a set of operating instructions as input and produces a HAZOP report automatically. The overall system architecture and the details of the major components of the systems will be described. Examples of incorrect plant operation along with the resulting output generated by CHECKOP will be shown. The advantages and limitations of CHECKOP will be discussed.

Suggested Citation

  • Palmer, C. & Chung, P.W.H., 2009. "An automated system for batch hazard and operability studies," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1095-1106.
    • Handle: RePEc:eee:reensy:v:94:y:2009:i:6:p:1095-1106
    DOI: 10.1016/j.ress.2009.01.001
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    References listed on IDEAS

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    Cited by:

    1. Cui, Lin & Shu, Yidan & Wang, Zhaohui & Zhao, Jinsong & Qiu, Tong & Sun, Wenyong & Wei, Zhenqiang, 2012. "HASILT: An intelligent software platform for HAZOP, LOPA, SRS and SIL verification," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 56-64.
    2. Iaiani, Matteo & Tugnoli, Alessandro & Macini, Paolo & Cozzani, Valerio, 2021. "Outage and asset damage triggered by malicious manipulation of the control system in process plants," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    3. Okabe, Tomoyuki & Otsuka, Yuichi, 2021. "Proposal of a Validation Method of Failure Mode Analyses based on the Stress-Strength Model with a Support Vector Machine," Reliability Engineering and System Safety, Elsevier, vol. 205(C).

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