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Potential energy improvements in a multiple-effect evaporation system: Case studies of heat recovery
Store Enso Pulp & Paper Asia AB, Karlstad Res Ctr, POB 9090, SE-65009 Karlstad, Sweden..
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences.
2016 (English)In: Nordic Pulp & Paper Research Journal, ISSN 0283-2631, E-ISSN 2000-0669, Vol. 31, no 4, p. 583-591Article in journal (Refereed) Published
Abstract [en]

The primary objective of this study was to quantify the amount of excess energy that is present in the evaporation system of an integrated pulp and paper-board mill and to analyze a number of energy recovery cases. These focus on improving the energy efficiency in the evaporation plant and are mainly based on the process data of performance tests from the full-scale production site. A computer script was developed in order to analyze the process streams and can be used to construct the Grand Composite Curve (GCC) of the evaporation system. In addition, the study identified seasonal variations in the potential excess of energy (higher in warmer weather and lower, or even non-existent, in colder) and suggestions are made as to how this energy may be used in a thermodynamically optimal way. In the case studies, the thermodynamically optimal method of recovering heat involved a combination of sensible heat and flash evaporation, indicating the maximum reduction in steam consumption. For the case of only utilizing sensible heat outside the evaporator system to pre-heat one of the liquor flows, the results indicated a lower reduction in steam but also a lower capital cost.

Place, publisher, year, edition, pages
Mittuniversitetet , 2016. Vol. 31, no 4, p. 583-591
Keywords [en]
Black liquor, Evaporation, Multiple effect evaporator, Energy efficiency, Heat recovery, Kraft mill, Paper mill
National Category
Chemical Engineering
Research subject
Chemical Engineering
Identifiers
URN: urn:nbn:se:kau:diva-62602ISI: 000389905200006OAI: oai:DiVA.org:kau-62602DiVA, id: diva2:1130477
Available from: 2017-08-09 Created: 2017-08-09 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: 2018-04-12Bibliographically approved

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