Development of Modelling Tool to Predict Carbon Credits for Biomass Co-fired Boilers
dc.contributor.author | Karunarathna, Harshani Manjula | |
dc.contributor.supervisor | Assoc. Prof. Hari Vuthaluru | |
dc.contributor.supervisor | Dr Chi Phan | |
dc.date.accessioned | 2017-02-07T05:29:23Z | |
dc.date.available | 2017-02-07T05:29:23Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/48462 | |
dc.description.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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Development of Modelling Tool to Predict Carbon Credits for Biomass Co-fired Boilers | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | |
curtin.department | Department of Chemical and Petroleum Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |