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Handling Uncertainty in the Development and Design of Chemical Processes

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Reliable Computing

Abstract

The paper presents a stochastic methodology for handling uncertainty in process development as part of a general framework for batch and continuous process models. The method combines systematic modelling procedures with Hammersley sampling based uncertainty analysis and a range of sample-based sensitivity analysis techniques which are used to quantify predicted performance uncertainty and identify key uncertainty contributions. The methodology was implemented on a batch chemical reactor process and some clear recommendations as to how to reduce the uncertainty in the main output variables are obtained.

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Authors and Affiliations

  1. Dept of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, U.K.

    David B. Johnson & I. David L. Bogle

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  1. David B. Johnson
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  2. I. David L. Bogle
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Correspondence to I. David L. Bogle.

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Johnson, D.B., Bogle, I.D.L. Handling Uncertainty in the Development and Design of Chemical Processes. Reliable Comput 12, 409–426 (2006). https://doi.org/10.1007/s11155-006-9012-7

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  • DOI: https://doi.org/10.1007/s11155-006-9012-7

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