A Grid-Structured Model of Tubular Reactors

We propose a grid-like computational model of tubular reactors. The architecture is inspired by the computations performed by solvers of partial differential equations which describe the dynamics of the chemical process inside a tubular reactor. The proposed model may be entirely based on the known...

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Bibliographic Details
Published in:arXiv.org 2021-12
Main Authors: Haitsiukevich, Katsiaryna, Bergman, Samuli, de Araujo Filho, Cesar, Corona, Francesco, Ilin, Alexander
Format: Article
Language:English
Subjects:
Machine learning
Mathematical models
Multilayers
Partial differential equations
Reactors
Online Access:Get full text
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Summary:We propose a grid-like computational model of tubular reactors. The architecture is inspired by the computations performed by solvers of partial differential equations which describe the dynamics of the chemical process inside a tubular reactor. The proposed model may be entirely based on the known form of the partial differential equations or it may contain generic machine learning components such as multi-layer perceptrons. We show that the proposed model can be trained using limited amounts of data to describe the state of a fixed-bed catalytic reactor. The trained model can reconstruct unmeasured states such as the catalyst activity using the measurements of inlet concentrations and temperatures along the reactor.
ISSN:2331-8422
DOI:10.48550/arxiv.2112.10765