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Time based data reconciliation and decision support for a CFB boiler
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik. (MERO)ORCID-id: 0000-0001-8191-4901
Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling. (PRO)
Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling. (PRO)ORCID-id: 0000-0002-7233-6916
VTT, Espoo, Finland.
2009 (engelsk)Inngår i: IFAC Proceedings Volumes (IFAC-PapersOnline), 2009 / [ed] Yrjö Majanne, Tampere: Tampere University Press , 2009, s. 338-343Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Tampere: Tampere University Press , 2009. s. 338-343
Emneord [en]
Dynamic data-reconciliation, sensor diagnostics, process performance monitoring, decision support
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-8013OAI: oai:DiVA.org:mdh-8013DiVA, id: diva2:293139
Konferanse
IFAC Symposium on Power Plants and Power Systems Control, PP and PSC 2009; Tampere; Finland; 6 July 2009 through 8 July 2009
Tilgjengelig fra: 2010-02-10 Laget: 2010-02-10 Sist oppdatert: 2015-11-12bibliografisk kontrollert
Inngår i avhandling
1. Process Modeling of Combustion and Digesters for On-line Applications
Åpne denne publikasjonen i ny fane eller vindu >>Process Modeling of Combustion and Digesters for On-line Applications
2015 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Västerås: Mälardalen University, 2015
Serie
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 194
HSV kategori
Forskningsprogram
energi- och miljöteknik
Identifikatorer
urn:nbn:se:mdh:diva-29462 (URN)978-91-7485-244-8 (ISBN)
Disputas
2015-12-15, R2-025, Mälardalens högskola, Västerås, 08:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2015-11-12 Laget: 2015-11-11 Sist oppdatert: 2015-11-25bibliografisk kontrollert

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Avelin, AndersDahlquist, Erik

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