Process/model mismatch may arise when a first-principles model is challenged against historical experimental data. In this study, a methodology recently proposed to diagnose the root cause of the mismatch in continuous processes is extended to batch systems, taking a batch drying process as a case study to test the proposed methodology. The likely sources of the mismatch are identified using a multivariate statistical model and analyzing the model residuals as well as the scores shifts. Two simulated examples demonstrate the effectiveness of the proposed methodology.

First-Principles Model Diagnosis in Batch Systems by Multivariate Statistical Modeling

MENEGHETTI, NATASCIA;FACCO, PIERANTONIO;BEZZO, FABRIZIO;BAROLO, MASSIMILIANO
2015

Abstract

Process/model mismatch may arise when a first-principles model is challenged against historical experimental data. In this study, a methodology recently proposed to diagnose the root cause of the mismatch in continuous processes is extended to batch systems, taking a batch drying process as a case study to test the proposed methodology. The likely sources of the mismatch are identified using a multivariate statistical model and analyzing the model residuals as well as the scores shifts. Two simulated examples demonstrate the effectiveness of the proposed methodology.
2015
Computer Aided Chemical Engineering
9780444634290
9780444634290
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3162274
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact