On-line runaway detection in batch reactors using chaos theory techniques

F. Strozzi, J.M. Zaldivar, A.E. Kronberg, K.R. Westerterp

    Research output: Contribution to journalArticleAcademicpeer-review

    110 Citations (Scopus)


    In this work nonlinear time-series analysis using delay coordinate embedding was applied to simulated temperature data from isoperibolic batch reactors to develop an early-warning detection system of the runaway. In the first part of this study an early-warning detection criterion, that is, when the divergence of the system becomes positive on a segment of the reaction path, was developed and compared with previous criteria. This criterion has the property of being preserved under phase-space reconstruction and, hence, it is possible to calculate it when only temperature data are available. This reconstructed divergence is compared with the theoretically calculated divergence using temperature and conversion data. The comparison demonstrates the validity of such an approach finding a new path, lying between the simple use of measured variables and the complex model-based reconstruction techniques, to assess in advance hazardous situations in chemical reactors.
    Original languageEnglish
    Pages (from-to)2429-2443
    Number of pages15
    JournalAIChE journal
    Issue number11
    Publication statusPublished - 1999


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