Fundamental continuous‐pulp‐digester model for simulation and control

Wisnewski, Philip A.; Doyle, Francis J.; Kayihan, Ferhan

doi:10.1002/aic.690431206

Cited by 85 publications

(72 citation statements)

References 7 publications

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“…Governing material and energy balance equations of the new generation model are similar to those reported by Wisnewski [5]. Details will be kept to a minimum here due to space limitations.…”

Section: I4 Digester Model -Summary Of Model Equationsmentioning

confidence: 58%

“…Details will be kept to a minimum here due to space limitations. It is worth pointing out that, to track chip size and diffusion rate limitations, inter-particle solid and liquor density gradients are calculated in a manner similar to Gustafson [2] as compared to the lumped-parameter approach of [5]. Furthermore, dynamic compaction calculations are done with similar assumptions and correlations as in Michelsen [6], which are originally proposed by Harkonen [8].…”

Section: I4 Digester Model -Summary Of Model Equationsmentioning

confidence: 99%

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Final Report ''Model-Based Approach to Soft-Sensing and Diagnosis for Control of a Continuous Digester''

Doyle¹

2003

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Project Objective: The goal of the work was to develop and demonstrate computing based modeling and control methodologies that will facilitate integrated operations on the continuous pulp digester. The technical work required to achieve these goals included development of efficient methods for softsensing using fundamental models, integration of fault monitoring and control algorithms, and the development of computationally feasible formulations of model predictive control for profile management in the digester. The developed operational methodology for digester grade transition control was benchmarked against an industrial design in cooperation with our collaborators at Weyerhaeuser and Westvaco. Background:The pulp and paper industry, a large and important sector of the CPI, is the most capital intensive among the sectors. While other components of the chemical industry have rapidly exploited model-based methods for improved operation, the PPI has lagged behind. Furthermore, as the US paper industry is moving from high volume single grade production to multi-grade continuous production, which offers the possibility for faster response to customer needs and production of higher margin specialty products, there arises the technical challenge of controlling the plant under the transient conditions which tend to propagate through the entire Final Report 6/1/03 DE-FC07-00ID13882

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Section: I4 Digester Model -Summary Of Model Equationsmentioning

confidence: 58%

Section: I4 Digester Model -Summary Of Model Equationsmentioning

confidence: 99%

Final Report ''Model-Based Approach to Soft-Sensing and Diagnosis for Control of a Continuous Digester''

Doyle¹

2003

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“…The Kappa number measures the extent of delignification and represents one of the key property variables that need to be controlled. For the detailed process model, the reader should refer to Padhiyar et al [21] and Wisnewski et al [38].…”

Section: Mathematical Model For the Continuous Pulp Digestermentioning

confidence: 99%

“…A mechanistic model of the continuous pulp digester [38] has been used in our study. The mathematical model represents the DPS and is approximated with CSTRs in series by the early lumping approach.…”

Section: Mathematical Model For the Continuous Pulp Digestermentioning

confidence: 99%

Profile control in distributed parameter systems using lexicographic optimization based MPC

Padhiyar

Bhartiya

2009

Journal of Process Control

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“…Wisnewski and Doyle [3] applied an identification procedure based on normalized moments of an impulse response to identify a set of linear models used for model predictive control of a continuous digester. Alexandridis [4] applied the partial least squares method in model identification based on a Purdue digester model proposed by Wisnewski et al [5]. Amirthalingam and Lee [6,7] presented subspace identification based inferential control of a continuous pulp digester.…”

Section: Introductionmentioning

confidence: 99%

Model parameter estimation of simplified linear models for a continuous paper pulp digester

Ding

Gustafsson

Johansson

2007

Journal of Process Control

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A physical model of a continuous paper pulp digester is simplified and two subprocesses selected from the digester are modelled by coupled linear partial differential equations. This study focuses on the parameter identification of the simplified linear models. Finitedimensional approximation of the model is made and a software package developed for identification of distributed parameter processes is applied. This identification system is developed for flexibility to allow identification for different choices of subprocesses and process variables. Unknown parameters of the subprocess models are estimated and the results are illustrated by process simulation and model validation.

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Fundamental continuous‐pulp‐digester model for simulation and control

Abstract: A model of a continuous digester was developed as an extension of the well-known

Cited by 85 publications

References 7 publications

Final Report ''Model-Based Approach to Soft-Sensing and Diagnosis for Control of a Continuous Digester''

Final Report ''Model-Based Approach to Soft-Sensing and Diagnosis for Control of a Continuous Digester''

Profile control in distributed parameter systems using lexicographic optimization based MPC

Model parameter estimation of simplified linear models for a continuous paper pulp digester

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