2017
DOI: 10.1016/j.fuel.2017.08.092
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Comparison of multi-component kinetic relations on bubbling fluidized-bed woody biomass fast pyrolysis reactor model performance

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Cited by 16 publications
(4 citation statements)
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“…Although using the lumped reaction schemes is straightforward, the predictability of the product yields using numerical simulations is strongly dependent on the accuracy of the reaction kinetics. Thus, in recent years, some research has been performed considering comprehensive and relatively complex reaction kinetics [73,74].…”
Section: Chemical Kinetics Of a Single Biomass Particlementioning
confidence: 99%
“…Although using the lumped reaction schemes is straightforward, the predictability of the product yields using numerical simulations is strongly dependent on the accuracy of the reaction kinetics. Thus, in recent years, some research has been performed considering comprehensive and relatively complex reaction kinetics [73,74].…”
Section: Chemical Kinetics Of a Single Biomass Particlementioning
confidence: 99%
“…Raw biomass usually contains a high amount of moisture, and the drying process significantly impacts the overall process efficiency since evaporation consumes a large amount of energy. In previous studies, the drying process for high-temperature biomass thermochemical conversion processes has been modeled in three ways, i.e., first-order global evaporation model (Kersten et al, 2005;Xiong et al, 2013), equilibrium model (Di Blasi, 2008;Kabir et al, 2015), and heat sink model (Neves et al, 2011;Matta et al, 2017). The first approach is comparatively simple, and it considers that evaporation is a thermally activated process meaning drying begins only after reaching a specific boiling temperature.…”
Section: Dryingmentioning
confidence: 99%
“…The considered process scales by Ciesielski et al (2018) range from the atomistic scale to the reactor scale. Other contributions include Matta et al (2017) and Ranzi et al (2017a,b). Several comprehensive review papers have already been published on the subject biomass pyrolysis.…”
Section: Fast Pyrolysismentioning
confidence: 99%