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Agglomeration Detection in Circulating Fluidized Bed Boilers Using Refuse Derived Fuels
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0001-5520-739X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-8466-356X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB Corporate Research . (Future Energy Center)ORCID iD: 0000-0003-0274-4719
2016 (English)In: 2016 9th EUROSIM Congress on Modelling and Simulation, IEEE Computer Society, 2016, 123-128 p.Conference paper (Refereed)
Abstract [en]

The formation of agglomerates in a refuse derived fuel (RDF) fired circulating fluidized bed (CFB) boiler has been investigated by implementing a dynamic model of the combustion process. The nature of refuse derived fuel, which is complex in composition, leads to an increased tendency for agglomerate formation. Notwithstanding the fact that a robust control scheme is essential in preventing the decrease in boiler efficiency from accelerated agglomerate formation. Therefore, a mechanism for detecting agglomeration through a physical model by looking at the minimum fluidization is presented. As agglomerates form between the fuel ash and bed sand the average diameter of the sand will increase and therefore the minimum fluidization velocity. Samples of bed material have been sieved and measured from a 150MW circulating fluidized bed boiler fired with refuse derived fuel to determine bed material size distribution. The findings have been correlated and match an increase in the minimum fluidization velocity during a seven day sampling period where the bed material size distribution increases above the average sand diameter.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. 123-128 p.
Keyword [en]
Circulating fluidized bed, agglomeration, detection, RDF, Modelica
National Category
Energy Systems
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-33995ISBN: 978-1-5090-4119-0 (print)OAI: oai:DiVA.org:mdh-33995DiVA: diva2:1050126
Conference
2016 9th EUROSIM Congress on Modelling and Simulation, 12-16 September 2016, Oulu, Finland
Projects
PolyPo
Available from: 2016-11-28 Created: 2016-11-28 Last updated: 2016-12-22Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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