Hazard identification based on plant functional modelling

B. Rasmussen, C. Whetton

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    Abstract

    A major objective of the present work is to provide means for representing a process plant as a socio-tcchnical system, so as to allow hazard identification at a high level. The method includes technical, human and organisational aspects and is intended to be used for plant-level hazard identification so as to identify critical areas and the need for further analysis using existing methods. The first part of the method is the preparation of a plant functional model where a set of plant functions link together hardware, software, operations, work organisation and other safety related aspects of the plant. The basic principle of the functional modelling is that any aspect of the plant can be represented by an object (in the sense that this term is used in computer science) based upon an Intent (or goal); associated with each Intent are Methods, by which the Intent is realized, and Constraints, which limit the Intent. The Methods and Constraints can themselves be treated as objects and decomposed into lower-level Intents (hence the procedure is known as functional decomposition) so giving rise to a hierarchical, object-oriented structure. The plant level hazard identification is carried out on the plant functional model using the Concept Hazard Analysis method. In this, users will be supported by checklists and keywords and the analysis is structured by pre-defined worksheets. The preparation of the plant functional model and the performance of the hazard identification can be carried out manually or with computer support.
    Original languageEnglish
    Place of PublicationRoskilde
    PublisherRisø National Laboratory
    Number of pages71
    ISBN (Print)87-550-1933-1
    Publication statusPublished - 1993
    SeriesDenmark. Forskningscenter Risoe. Risoe-R
    Number712(EN)
    ISSN0106-2840

    Keywords

    • Risø-R-712
    • Risø-R-712(EN)

    Cite this

    Rasmussen, B., & Whetton, C. (1993). Hazard identification based on plant functional modelling. Risø National Laboratory. Denmark. Forskningscenter Risoe. Risoe-R, No. 712(EN)