2015
DOI: 10.1016/j.proci.2014.06.033
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Combustion of biomass in jet flames

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Cited by 34 publications
(16 citation statements)
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“…On the other hand, the overall particle sticking efficiency for coal has a value of about 0.8, which was approximately twice that of the values (about 0.4) for biomass. It is interesting that the values of the sticking efficiency in this study are comparable to those presented by Weber et al [41], which are approximately 0.8 and 0.4 for the coal and mixed wood under a similar furnace velocity.…”
Section: Measured and Predicted Ash Deposition Behavioursupporting
confidence: 88%
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“…On the other hand, the overall particle sticking efficiency for coal has a value of about 0.8, which was approximately twice that of the values (about 0.4) for biomass. It is interesting that the values of the sticking efficiency in this study are comparable to those presented by Weber et al [41], which are approximately 0.8 and 0.4 for the coal and mixed wood under a similar furnace velocity.…”
Section: Measured and Predicted Ash Deposition Behavioursupporting
confidence: 88%
“…However, the predicted impaction efficiency by Weber et al [41] is much higher than in the current study. This discrepancy can be attributed to the particle size of the fly ash being assumed to be constant during combustion process by Weber et al [41] while the fly ash size is assumed to be reduced based on the ash content in this study. On the other hand, the overall particle sticking efficiency for coal has a value of about 0.8, which was approximately twice that of the values (about 0.4) for biomass.…”
Section: Measured and Predicted Ash Deposition Behaviourcontrasting
confidence: 82%
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“…Therefore, relevant viscosity data will be investigated while missing data will be measured by high temperature rotational viscosimetry. The viscosity data, as well as the phase diagrams concerning bio-ashes, are needed to determine the sticking efficiency of ash particles impacting on the wall either through applying a viscosity criterion or a melting fraction criterion [77]. Such criteria are essential in developing a slag sub-model (see Sections 2.3 and 2.5).…”
Section: Modelling Slag Propertiesmentioning
confidence: 99%