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Time series analysis of refining conditions and estimated pulp properties in a chemi-thermomechanical pulp process
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).ORCID iD: 0000-0002-5864-4576
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).
2019 (English)In: BioResources, ISSN 1930-2126, E-ISSN 1930-2126, Vol. 14, no 3, p. 5451-5466Article in journal (Refereed) Published
Abstract [en]

Frequently sampled process data from a conical disc refiner and infrequently sampled pulp data from a full scale chemi-thermomechanical pulp (CTMP) mill were evaluated to study autocovariance with aspects of potential dynamic modelling applicability. Two trial measurements with an online pulp analyzer at decreased sampling intervals were performed. For variability analysis, time-series containing up to one day of operational data were used. At the chip refiner, the clearest significant autocovariance was identified for the specific electricity consumption, based on the longer sequences. Most of the estimated pulp properties indicated low or non-significant autocovariance, limiting applicability of a specific dynamic model. A mill trial was conducted to investigate the impact from an increase in the conical disc gap on the specific electricity consumption and the resulting freeness. The response time from the gap change in the refiner to measured change in freeness was estimated at 19 min, which was approximately the hydraulic residence time in the latency chest. The relevance of this study lies in applicability of mill-data-driven modelling to capture the dynamics of a specific refining process. Through mill trials the sampling speed of pulp properties was more than doubled to gain insights into short term systematic variations by applying time-series-analysis.

Place, publisher, year, edition, pages
North Carolina State University , 2019. Vol. 14, no 3, p. 5451-5466
Keywords [en]
Chemi-thermomechanical pulp (CTMP); Freeness; Dynamic modelling; conical disc refiner; Specific electricity consumption; Energy efficiency; Autocovariance
National Category
Paper, Pulp and Fiber Technology
Research subject
Environmental and Energy Systems
Identifiers
URN: urn:nbn:se:kau:diva-65734DOI: 10.15376/biores.14.3.5451-5466ISI: 000473204700036OAI: oai:DiVA.org:kau-65734DiVA, id: diva2:1178162
Funder
Knowledge Foundation
Note

Artikeln ingick som manuskript i Ekbåges licentiatuppsats (2018) Process modelling based on data from an evaporation and a CTMP process

Available from: 2018-01-29 Created: 2018-01-29 Last updated: 2019-08-06Bibliographically 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
Note

Artikel 3 ingick i licentiatuppsatsen som manuskript med titeln: "Time series analysis of refining conditions and estimated pulp properties in a CTMP-process with aspect of potential dynamic modelling applicability"

Available from: 2018-04-12 Created: 2018-02-02 Last updated: 2019-07-02Bibliographically approved

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Ekbåge, DanielNilsson, LarsHåkansson, Helena

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