Learning reduced-order models for dynamic CO2 methanation using operator inference

The efficient modeling of dynamic systems in process engineering is becoming increasingly important in the modern industrial landscape. Our study addresses this challenge by employing reduced-order modeling and model order reduction techniques, with a focus on the non-intrusive operator inference me...

Full description

Saved in:
Bibliographic Details
Published inComputer Aided Chemical Engineering Vol. 53; pp. 3319 - 3324
Main Authors Peterson, Luisa, Goyal, Pawan, Gosea, Ion Victor, Bremer, Jens, Benner, Peter, Sundmacher, Kai
Format Book Chapter
LanguageEnglish
Published 2024
Subjects
Online AccessGet full text

Cover

Loading…