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

Thomas Knetsch and Ulrich Hauptmanns

Risk Analysis, 2005, vol. 25, issue 1, 189-198

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.

Date: 2005
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https://doi.org/10.1111/j.0272-4332.2005.00578.x

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Persistent link: https://EconPapers.repec.org/RePEc:wly:riskan:v:25:y:2005:i:1:p:189-198

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