Simultaneous dynamic validation/identification of mechanistic process models and reconciliation of industrial process data
Document Type
Article
Publication Date
12-1-2006
Abstract
Process models are subject to parametric uncertainty and raw process-instrumentation data are corrupted by systematic and random errors. In this work, we present a framework for dynamic parameter estimation and data reconciliation aiming at integrating model-centric support tools and industrial process operations. A realistic case-study for the rectification of the mass balance of an industrial continuous pulping system is presented. The incentive for gross-error estimation during model-based production accounting and inventory analysis is demonstrated. © 2006 Elsevier B.V. All rights reserved.
Publication Source (Journal or Book title)
Computer Aided Chemical Engineering
First Page
267
Last Page
272
Recommended Citation
Rolandi, P., & Romagnoli, J. (2006). Simultaneous dynamic validation/identification of mechanistic process models and reconciliation of industrial process data. Computer Aided Chemical Engineering, 21 (C), 267-272. https://doi.org/10.1016/S1570-7946(06)80057-X