Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Trial measurements in a CTMP-process to perform time-series analysis of refining conditions and estimated pulp properties
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences.ORCID iD: 0000-0002-5864-4576
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences.
2017 (English)Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
2017.
National Category
Paper, Pulp and Fiber Technology
Identifiers
URN: urn:nbn:se:kau:diva-65786OAI: oai:DiVA.org:kau-65786DiVA, id: diva2:1178161
Conference
10th Fundamental Mechanical Pulp Research Seminar
Available from: 2018-01-29 Created: 2018-01-29 Last updated: 2018-02-02Bibliographically approved
In thesis
1. Process modelling based on data from an evaporation and a CTMP process: Analysis of energy efficiency and process variability
Open this publication in new window or tab >>Process modelling based on data from an evaporation and a CTMP process: Analysis of energy efficiency and process variability
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The manufacture of pulp and paper is an energy intensive process configured of several unit processes that shape a network of flows of wood chips, chemical pulp, mechanical pulp, paperboard, steam and other important components. Improved energy efficiency supports sustainability of the process and the products. With the purpose of monitoring and controlling, information from multiple process and quality variables is continuously collected in the process data system. This data may be of time-varying nature and the variability might potentially span from seasonal to time-wise shorter variations and there are in some cases a need for predicting certain properties.

By applying models based on process data there is a potential to increase the knowledge of the process characteristics, investigate the applicability of predictive models and identify optimization opportunities. Based on data from an evaporation and a CTMP plant, process models have been developed with the aim of improving the energy efficiency and studying process variability.  

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2018. p. 56
Series
Karlstad University Studies, ISSN 1403-8099 ; 2018:7
Keywords
CTMP, process modelling, evaporation, energy efficiency
National Category
Chemical Process Engineering
Research subject
Environmental and Energy Systems
Identifiers
urn:nbn:se:kau:diva-65785 (URN)978-91-7063-836-7 (ISBN)978-91-7063-931-9 (ISBN)
Presentation
2018-03-21, Fryxellsalen, Karlstad, 10:15 (Swedish)
Opponent
Supervisors
Available from: 2018-04-12 Created: 2018-02-02 Last updated: 2018-12-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

http://afrc.fi/fmprs2017/

Authority records BETA

Ekbåge, DanielNilsson, LarsHåkansson, Helena

Search in DiVA

By author/editor
Ekbåge, DanielNilsson, LarsHåkansson, Helena
By organisation
Department of Engineering and Chemical Sciences
Paper, Pulp and Fiber Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 33 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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