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Bayesian Network for Decision Support on Soot Blowing Superheaters in a Biomass Fuelled Boiler
Mälardalen University, Department of Public Technology.
Mälardalen University, Department of Public Technology.
Mälardalen University, Department of Public Technology.ORCID iD: 0000-0002-7233-6916
2004 (English)In: 2004 International Conference on Probabilistic Methods Applied to Power Systems, 2004, 212-217 p.Conference paper, Published paper (Other academic)
Abstract [en]

In a process for combined heat and power generation there is a need for fault detection, decision support and risk assessment to prevent operational disturbances and reduction in performance. A method to achieve decision support is to use Bayesian networks, where knowledge about the process is combined with operational experience. The network covers the convectional superheaters in the flue gas train, which is a major problem domain in biomass-fuelled boilers. The superheaters are exposed to fouling from flue gases. Fouling reduces the heat transfer and result in a decreased power plant performance. The Bayesian network is constructed to give decision support on preventive action to reduce abnormal fouling. Validation of the Bayesian network show that the prediction of hard fouling works well under uncertainty.

Place, publisher, year, edition, pages
2004. 212-217 p.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-3985Scopus ID: 2-s2.0-14544274479ISBN: 9780976131915 (print)OAI: oai:DiVA.org:mdh-3985DiVA: diva2:120485
Conference
2004 International Conference on Probabilistic Methods Applied to Power Systems; Ames, IA; United States; 12 September 2004 through 16 September 2004
Available from: 2005-01-01 Created: 2005-01-01 Last updated: 2017-03-02Bibliographically approved
In thesis
1. Tools for Reconciliation of Measurement Data for Processes at Steady-State
Open this publication in new window or tab >>Tools for Reconciliation of Measurement Data for Processes at Steady-State
2004 (English)Licentiate thesis, comprehensive summary (Other scientific)
Place, publisher, year, edition, pages
Institutionen för Samhällsteknik, 2004. 56 p.
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 34
Keyword
Technology, TEKNIKVETENSKAP
National Category
Engineering and Technology
Research subject
Energi- och miljöteknik
Identifiers
urn:nbn:se:mdh:diva-13 (URN)91-88834-60-3 (ISBN)
Presentation
2004-09-27, Zeta, Västerås, 10:00
Available from: 2005-01-01 Created: 2005-01-01

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