2008 Annual Meeting
(215f) Simplification of the Inviscid Navier-Stokes Equations for Dynamic Simulation of Nonisothermal Gas Flow Networks
Authors
One way to avoid this complicated and computationally expensive implementation is to simplify the equations taking into account only the relevant time scales for the simulated phenomena [3]. The fast time scale phenomena are often not of importance when studying the dynamics of chemical process operations, because discrete disruptions in the flow of the gas are not expected. As changes in pressure propagate with the speed of sound, we can make a quasi-equilibrium approximation (singular perturbation) for the equations related to the fast dynamics. These equations are the equations for mass conservation and momentum conservation. This simplified system with a dynamic energy balance can be solved by using a cheaper and faster implicit integrator like JACOBIAN® [4]. Moreover, the equations are much easier to integrate with a plant-wide dynamic simulator.
This paper presents the implementation of this framework to represent the transients in a heat transfer loop using helium. A heat transfer loop is used in a nuclear hydrogen production facility to transfer the heat generated in the nuclear reactor to the hydrogen production plant. The nuclear reactor and the hydrogen plant are at least 90m apart [1] and an accurate representation of the system is required to understand the behavior of the system. The important transients have a time scale larger than 1s and no sudden changes are expected to occur. Therefore, the simplified system of equations can be used to simulate the helium behavior in the system. Additional models for compressors and heat exchangers were considered, and the whole system of models was implemented in JACOBIAN®[4]. This framework allows the accurate representation of gas dynamics in complex chemical processes without dramatically increasing the computational cost.
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2. R. J. Leveque. Finite Volume Methods for Hyperbolic Problems. Cambridge University Press, Cambridge, U. K., 2002.
3. J. E. Meyer. Hydrodynamic Models for the Treatment of Reactor Thermal Transients. Nuclear Science and Engineering, 10:269-277, 1961.
4. Numerica Technology LLC, 2005 Numerica Technology LLC (2005). JACOBIAN dynamic modeling and optimization software. http://www.numericatech.com/.
5. D. Sedes. Modelling, Simulation and Process Safety Analysis. A case study: The formaldehyde process. Technical Report, Massachusetts Institute of Technology, 1994.
6. R. B. Vilim. Dynamic Modeling Efforts for System Interface Studies for Nuclear Hydrogen Production. Argonne National Laboratory, ANL-07/16, 2007.