mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Multivariate analysis models for wood properties combined with Open Modelica model for process performance monitoring
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-5341-3656
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8466-356X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-8191-4901
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-5480-0167
Show others and affiliations
2015 (English)In: IFAC Proceedings Volumes (IFAC-PapersOnline), 2015, Vol. 48:1, 898-899 p.Conference paper, Oral presentation with published abstract (Other (popular science, discussion, etc.))
Abstract [en]

To perform advanced model based control it is important to know what is fed into a system such as a waste or biomass fired boiler or a pulp digester. In this paper, we present correlations between the lignin content of different types of wood chips and their Near-infrared (NIR) spectra. The Principal Component Regression (PCR) method is used for deriving the correlation, as well as selecting certain wave lengths. Analysis is made including different parts of the spectra in the wave length range 700 – 2500 nm. The model is then used as input to an Open Modelica pulp digester model to tune the reactivity constant of the dissolution of lignin. The lignin content of wood-chips is determined on-line through the NIR measurement at the feed to the digester. Simulations are carried out to determine the content of residual lignin on fibers at the exit (continuous digester) or at the end of a cook (batch digester). By comparing the deviation between predicted values and actual measured values the reactivity constant of the lignin is determined. The regression can be made to the NIR spectrum aside of the lignin content as such. The original content of lignin together with reactivity may then be used for optimized on-line control of the digester. It can also be used for diagnostic purposes with regard to process issues like hang-ups or channeling, as well as possible sensor faults and data reconciliation.

Place, publisher, year, edition, pages
2015. Vol. 48:1, 898-899 p.
National Category
Engineering and Technology Energy Systems Chemical Process Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-27635DOI: 10.1016/j.ifacol.2015.05.195Scopus ID: 2-s2.0-84954188524ISBN: 978-3-901608-46-9 (print)OAI: oai:DiVA.org:mdh-27635DiVA: diva2:791565
Conference
8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015; Vienna; Austria; 18 February 2015 through 20 February 2015; Code 117491
Available from: 2015-03-01 Created: 2015-03-01 Last updated: 2016-01-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Skvaril, JanKyprianidis, KonstantinosAvelin, AndersOdlare, MonicaDahlquist, Erik

Search in DiVA

By author/editor
Skvaril, JanKyprianidis, KonstantinosAvelin, AndersOdlare, MonicaDahlquist, Erik
By organisation
Future Energy Center
Engineering and TechnologyEnergy SystemsChemical Process Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 231 hits
CiteExportLink to record
Permanent link

Direct link
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