Loughborough University
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An automated system for batch hazard and operability studies

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journal contribution
posted on 2009-05-07, 13:28 authored by Claire PalmerClaire Palmer, Paul Chung
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 which 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.

History

School

  • Science

Department

  • Computer Science

Citation

PALMER, C. and CHUNG, P.W.H., 2009. An automated system for batch hazard and operability studies. Reliability Engineering & System Safety, 94 (6), pp. 1095-1106

Publisher

© Elsevier Ltd

Version

  • AM (Accepted Manuscript)

Publication date

2009

Notes

This is an article from the journal, Reliability Engineering & System Safety [© Elsevier]. The definitive version is available at: http://www.elsevier.com/wps/find/journaldescription.cws_home/405908/description#description

ISSN

0951-8320

Language

  • en