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Integration of Stochastic Effects and Data Uncertainties into the Design of Process Equipment

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  • Thomas Knetsch
  • Ulrich Hauptmanns

Abstract

Stochastic effects and data uncertainties are present in any engineering calculation. Their impact may be particularly important if they concern the design of process equipment. A calculation model for the dynamic behavior of a heat exchanger and procedures to deal with the related uncertainties are presented. Their propagation through the calculation by means of a Monte Carlo approach is shown. The temperature at the heat exchanger outlet and the step response of a sudden variation in the heat exchanger inlet temperature are simulated and evaluated by way of example. It is demonstrated that the inclusion of stochastic effects and uncertainties provides a more reliable basis for design decisions and hence reduces the probability of errors.

Suggested Citation

  • Thomas Knetsch & Ulrich Hauptmanns, 2005. "Integration of Stochastic Effects and Data Uncertainties into the Design of Process Equipment," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 189-198, February.
    • Handle: RePEc:wly:riskan:v:25:y:2005:i:1:p:189-198
    DOI: 10.1111/j.0272-4332.2005.00578.x
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