Reduced order modeling of an industrial feeder model
conference paper
Models of glæs furnaces are described by a set of nonlinear partial differential equâtior¡s which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scala¡s which describe the dependent variables like viscosities and densities in a fluid. In lhis paper we consider the problem 1o simulate such a glass furnace and þ substantially reduce the complexity of a glass feeder model while keeping its main dynamical properties.A Computational Fluid Dynamics (CFD) method is applied to simulate the dynamics of the physical and chemical processes that take place in the furnace. As a result of a fine discretization applied to lhe CFD, the resulting model is too large to be incoçorated in control or optimization modules, In this paper, we present a reduced order modelling technique by proper orthogonal decomposition apptied to an industrial glass feeder model. It is shown that with less than 0.1% of the states of the original rnodel, the temp€rature deviations between the original and the reduced order nrodcl is negligible.
TNO Identifier
462222
Publisher
Elsevier
Source title
IFAC Publications
Collation
5 p.
Place of publication
Amsterdam
Pages
1393-1397
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