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Digester modelling for diagnostics and control
Mälardalen University, School of Sustainable Development of Society and Technology. (PRO)
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis will show the possibility for the development and use of an on-line model for application to continuous digesters for pulp production. The model is developed by using a program called Dymola (Dynamic Modeling Laboratory). What makes the Dymola software so well suited is that the program solves equations simultaneously. The model is a further development from the Purdue model [Bhartiya et al, 2003]. The main difference between this model and the Purdue model however, is the dynamics in the model. The dynamics are very important when you use the model for control purposes because the cooking process has long dead and retention times. The main purpose of this model is to use it for the advanced control of continuous digesters as well as giving the operators a better understanding of what happens in the cooking process when changes are made. The model will also be used for diagnostic purposes. Advanced control in this case is Model Predicted Control (MPC). The MPC will control the quality of the pulp “kappa” number and the chemical consumption during digestion. This thesis describes the model and results are shown for applications of on-line diagnosis in three pulp mills in South Africa. Real time process data from the pulp mills is fed into the model and a simulation is performed. Thereafter, the results from the simulation are compared to the actual measured data for a number of key variables. By comparing the simulation results to the real process data and following the trends of the deviations between the two, different types of faults and upsets can be detected in both the process and sensors.

Place, publisher, year, edition, pages
2009. , 147 p.
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 80
Keyword [en]
pulp production, diagnostics, simulation, control
National Category
Paper, Pulp and Fiber Technology
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-7547ISBN: 978-91-86135-48-5 (print)OAI: oai:DiVA.org:mdh-7547DiVA: diva2:277876
Public defence
2009-12-11, Gamma, Högskoleplan 1, Västerås, 10:00 (English)
Opponent
Supervisors
Projects
KKS project:Use of physical models combined with statistical models for improved digester control
Available from: 2009-11-23 Created: 2009-11-20 Last updated: 2014-12-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf