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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/4604

Title: An automated system for batch hazard and operability studies
Authors: Palmer, Claire
Chung, Paul Wai Hing
Keywords: Batch HAZOP
Batch process
Operating procedures
Operating instructions
Qualitative simulation
Issue Date: 2009
Publisher: © Elsevier Ltd
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
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 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.
Description: 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
Version: Accepted for publication
DOI: 10.1016/j.ress.2009.01.001
URI: https://dspace.lboro.ac.uk/2134/4604
ISSN: 0951-8320
Appears in Collections:Published Articles (Computer Science)

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