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POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model

Jens Bremer, Pawan Goyal, Lihong Feng, Peter Benner, Kai Sundmacher
2017 Computers and Chemical Engineering  
In this study, we apply proper orthogonal decomposition together with the discrete empirical interpolation method (POD-DEIM) to a dynamic, two-dimensional reactor model for catalytic carbon dioxide methanation  ...  Featuring a lower number of states, model order reduction (MOR) generates considerably less complex models and leads to faster model evaluations.  ...  In addition, we acknowledge the invitation of contributing this article as an extended version of Bremer et al. (2016) to the ESCAPE 26 special issue in Computers and Chemical Engineering.  ... 
doi:10.1016/j.compchemeng.2017.02.032 fatcat:3ir6kxtawrfqrcp63tpcmdme2u

Parametric Nonlinear Model Reduction Using K-Means Clustering for Miscible Flow Simulation

Norapon Sukuntee, Saifon Chaturantabut
2020 Journal of Applied Mathematics  
This work considers the model order reduction approach for parametrized viscous fingering in a horizontal flow through a 2D porous media domain.  ...  method (DEIM) to further reduce the computational complexity in nonlinear terms of the miscible flow model.  ...  In [11] , POD-DEIM is applied to a dynamic 2D catalytic reactor model. There are also many other applications of POD-DEIM on various problems, which can be found, for example, in [12] [13] [14] .  ... 
doi:10.1155/2020/3904606 fatcat:cm5rgoxlmbfu3bbggrgcyzalzu