title: Integration of stochastic effects and data uncertainties into the design of process equipment.
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.
authors.affiliation: Department of Process Design and Safety, Otto-von-Guericke-Universität Magdeburg, Postfach 4120, 39016 Magdeburg, Germany. thomas.knetsch@vst.uni-magdeburg.de
authors.forename: Thomas
authors.initials: T
authors.lastname: Knetsch
authors.forename: Ulrich
authors.initials: U
authors.lastname: Hauptmanns