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    Development of Modelling Tool to Predict Carbon Credits for Biomass Co-fired Boilers

    Karunarathna 2016.pdf (3.159Mb)
    Access Status
    Open access
    Authors
    Karunarathna, Harshani Manjula
    Date
    2016
    Supervisor
    Assoc. Prof. Hari Vuthaluru
    Dr Chi Phan
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Department of Chemical and Petroleum Engineering
    URI
    http://hdl.handle.net/20.500.11937/48462
    Collection
    • Curtin Theses
    Abstract

    Co-firing is a well-known technology and biomass is a successful alternative to blend with coal, resulting in an effective reduction of emissions (carbon credits) in conventional coal power plants. The present work is focused on developing a comprehensive predictive tool to estimate carbon credits relevant to co-firing systems (non-existent in literature). In nutshell our model approach indicates, conventional boilers utilising low rank coals are best suited for co-firing with biomass to mitigate GHG emissions.

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