LAPSE:2019.0882
Published Article
LAPSE:2019.0882
Data-Driven Estimation of Significant Kinetic Parameters Applied to the Synthesis of Polyolefins
July 31, 2019
A data-driven strategy for the online estimation of important kinetic parameters was assessed for the copolymerization of ethylene with 1,9-decadiene using a metallocene catalyst at different diene concentrations and reaction temperatures. An initial global sensitivity analysis selected the significant kinetic parameters of the system. The retrospective cost model refinement (RCMR) algorithm was adapted and implemented to estimate the significant kinetic parameters of the model in real time. After verifying stability and robustness, experimental data validated the algorithm performance. Results demonstrate the estimated kinetic parameters converge close to theoretical values without requiring prior knowledge of the polymerization model and the original kinetic values.
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Keywords
data-driven parameter estimation, global sensitivity analysis, polyolefin synthesis, retrospective cost model refinement algorithm
Subject
Suggested Citation
Salas SD, Brandão ALT, Soares JBP, Romagnoli JA. Data-Driven Estimation of Significant Kinetic Parameters Applied to the Synthesis of Polyolefins. (2019). LAPSE:2019.0882
Author Affiliations
Salas SD: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70809, USA; Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias Naturales y Matemáticas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-58
Brandão ALT: Engenharia Química, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro 22451-900, Brazil [ORCID]
Soares JBP: Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Romagnoli JA: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70809, USA
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Brandão ALT: Engenharia Química, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro 22451-900, Brazil [ORCID]
Soares JBP: Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Romagnoli JA: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70809, USA
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Journal Name
Processes
Volume
7
Issue
5
Article Number
E309
Year
2019
Publication Date
2019-05-22
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7050309, Publication Type: Journal Article
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Published Article
LAPSE:2019.0882
This Record
External Link
doi:10.3390/pr7050309
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591
Version History
[v1] (Original Submission)
Jul 31, 2019
Verified by curator on
Jul 31, 2019
This Version Number
v1
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URL Here
https://psecommunity.org/LAPSE:2019.0882
Original Submitter
Calvin Tsay
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