TY - JOUR
T1 - Combustion modelling of pulverized biomass particles at high temperatures
AU - Li, Jun
AU - Paul, Manosh C.
AU - Younger, Paul L.
AU - Watson, Ian
AU - Hossain, Mamdud
AU - Welch, Stephen
N1 - Funding Information:
Financial support for this research from The Carnegie Trust and EPSRC through an Impact Acceleration Award is highly acknowledged.
Publisher Copyright:
© 2015 The Authors. Published by Elsevier Ltd.
PY - 2015/5/31
Y1 - 2015/5/31
N2 - Biomass co-firing is becoming a promising solution to reduce CO2 emissions, due to its renewability and carbon neutrality. Biomass normally has high moisture and volatile contents, complicating its combustion behaviour, which is significantly different from that of coal. A computational fluid dynamics (CFD) combustion model of a single biomass particle is developed in this work, to predict the mass loss properties and temperature profile during the biomass devolatilization and combustion processes, by solving the energy and mass transport equations. The biomass devolatilization reaction was simulated by a two-competing-rate model and the biomass char burnout rate was controlled by both kinetics and diffusion to predict the particle size changes. The resulting predicted temperature profiles show good agreement with experimental data. The results also shed light on the effects of biomass particle size, air temperature and oxygen concentrations on biomass particle combustion behaviour.
AB - Biomass co-firing is becoming a promising solution to reduce CO2 emissions, due to its renewability and carbon neutrality. Biomass normally has high moisture and volatile contents, complicating its combustion behaviour, which is significantly different from that of coal. A computational fluid dynamics (CFD) combustion model of a single biomass particle is developed in this work, to predict the mass loss properties and temperature profile during the biomass devolatilization and combustion processes, by solving the energy and mass transport equations. The biomass devolatilization reaction was simulated by a two-competing-rate model and the biomass char burnout rate was controlled by both kinetics and diffusion to predict the particle size changes. The resulting predicted temperature profiles show good agreement with experimental data. The results also shed light on the effects of biomass particle size, air temperature and oxygen concentrations on biomass particle combustion behaviour.
KW - biomass combustion
KW - CFD
KW - single particle model
UR - http://www.scopus.com/inward/record.url?scp=84948424568&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2015.02.055
DO - 10.1016/j.egypro.2015.02.055
M3 - Conference article
AN - SCOPUS:84948424568
SN - 1875-3884
VL - 66
SP - 273
EP - 276
JO - Physics Procedia
JF - Physics Procedia
T2 - 23rd International Conference on the Application of Accelerators in Research and Industry, CAARI 2014
Y2 - 25 May 2014 through 30 May 2014
ER -