A Grid-Structured Model of Tubular Reactors

Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

2 Sitaatiot (Scopus)
164 Lataukset (Pure)

Abstrakti

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.
AlkuperäiskieliEnglanti
Otsikko2021 IEEE 19th International Conference on Industrial Informatics (INDIN)
KustantajaIEEE
Sivumäärä5
ISBN (elektroninen)978-1-7281-4395-8
DOI - pysyväislinkit
TilaJulkaistu - 21 heinäk. 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Industrial Informatics - Palma de Mallorca, Spain, Palma de Mallorca, Espanja
Kesto: 21 heinäk. 202123 heinäk. 2021
https://2021.ieee-indin.org/

Conference

ConferenceIEEE International Conference on Industrial Informatics
LyhennettäINDIN
Maa/AlueEspanja
KaupunkiPalma de Mallorca
Ajanjakso21/07/202123/07/2021
www-osoite

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