CFD Based Ash Deposition Prediction in a BFBC Firing Mixtures of Peat and Forest Residue

D Lundmark, C Mueller, R Backman, Maria Zevenhoven, BJ Skrifvars, Mikko Hupa

    Research output: Contribution to journalArticleScientificpeer-review

    8 Citations (Scopus)

    Abstract

    Combustion of biofuel mixtures for heat and power production is often combined with ash related operational problems. Their reliable prediction is therefore essential in order to improve boiler performance and availability. In this work, an ash behavior prediction tool based on computational fluid dynamics and advanced fuel analysis is used to predict the ash deposition tendencies in a 295 MW(th) bubbling fluidized bed boiler fired with mixtures of peat and forest residue. The work focuses especially on two new modeling approaches for fuel distribution and bubbling bed. The overall combustion and deposition prediction results agree well with conditions in a real boiler.
    Original languageUndefined/Unknown
    Pages (from-to)031003/1–031003/8
    Number of pages8
    JournalJournal of Energy Resources Technology
    Volume132
    Issue number3
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA1 Journal article-refereed

    Keywords

    • ash deposition
    • biofuel mixtures
    • bubbling fluidized bed combustion
    • CFD
    • fluidized bed
    • Combustion

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