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Time based data reconciliation and decision support for a CFB boiler
Mälardalen University, School of Business, Society and Engineering. (MERO)ORCID iD: 0000-0001-8191-4901
Mälardalen University, School of Sustainable Development of Society and Technology. (PRO)
Mälardalen University, School of Sustainable Development of Society and Technology. (PRO)ORCID iD: 0000-0002-7233-6916
VTT, Espoo, Finland.
2009 (English)In: IFAC Proceedings Volumes (IFAC-PapersOnline), 2009 / [ed] Yrjö Majanne, Tampere: Tampere University Press , 2009, p. 338-343Conference paper, Published paper (Refereed)
Abstract [en]

This paper covers a method for operator decision support, where physical simulation models are used to connect different physical variables to each other. By comparing energy and material balances for a larger process area inconsistencies in single process parts and sensor measurements can be detected, by following the development between single measurements and values predicted from the simulations. This information then can be used as input to e.g. a BN, Bayesian Network, for decision support. The application has been for a CFB boiler at Mälarenergi AB. The simulators have been made in Modelica respectively a more advanced model in APROS.

Place, publisher, year, edition, pages
Tampere: Tampere University Press , 2009. p. 338-343
Keywords [en]
Dynamic data-reconciliation, sensor diagnostics, process performance monitoring, decision support
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Engineering Control Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-8013OAI: oai:DiVA.org:mdh-8013DiVA, id: diva2:293139
Conference
IFAC Symposium on Power Plants and Power Systems Control, PP and PSC 2009; Tampere; Finland; 6 July 2009 through 8 July 2009
Available from: 2010-02-10 Created: 2010-02-10 Last updated: 2015-11-12Bibliographically approved
In thesis
1. Process Modeling of Combustion and Digesters for On-line Applications
Open this publication in new window or tab >>Process Modeling of Combustion and Digesters for On-line Applications
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The use of biomass has increased in recent years due to the efforts to reduce the high emissions of greenhouse gases, primarily carbon dioxide from combustion of fossil fuels. At the same time industrial processes have become more complex because of increased production rates and profitability requirements. A higher degree of automation is needed when the processes are too complex to be handled manually. There is a need to find modeling strategies that can automatically handle the challenges that the conversion of biomass in an industrial process entails, such as operational changes, decreasing component and overall system efficiency, drifting sensors, etc. The objective of this thesis is to develop a methodology for on-line applications in industrial processes. Dynamic process models have been developed for continuous digesters and boilers. Process models have been evaluated for their use in continuous industrial process. Applications that have been studied are monitoring and diagnostics, advanced control and decision support. The process models are designed for on-line simulations. The results shows that the use of mathematical simulation models can improve the use of both process data and process understanding, to achieve improved diagnostics, advanced control and process optimization. In the two examples of industrial processes covered in this thesis, we can see that similar types of models can be used for completely different types of processes, such as pulp digesters and boilers. It also demonstrates the ability to combine soft sensors and hard sensors with physical models to take the information to a higher level of utilization.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2015
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 194
National Category
Energy Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-29462 (URN)978-91-7485-244-8 (ISBN)
Public defence
2015-12-15, R2-025, Mälardalens högskola, Västerås, 08:15 (English)
Opponent
Supervisors
Available from: 2015-11-12 Created: 2015-11-11 Last updated: 2015-11-25Bibliographically approved

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Other links

http://www.automaatioseura.fi/PPPSC09

Authority records BETA

Avelin, AndersDahlquist, Erik

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