2020
DOI: 10.1007/978-981-15-2732-6_13
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Review on Modelling Approaches Based on Computational Fluid Dynamics for Biomass Pyrolysis Systems

Abstract: Modelling is a complex task combining elements of knowledge in the field of computer science, mathematics and natural sciences (fluid dynamics, mass and heat transfer, chemistry). In order to correctly model the process of biomass thermal degradation, in-depth knowledge of multi-scale unit processes is necessary. A biomass conversion model can be divided into three main submodels depending on the scale of the unit processes: the molecular model, single particle model and reactor model. Molecular models describ… Show more

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Cited by 4 publications
(13 citation statements)
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References 132 publications
(195 reference statements)
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“…6) Values of thermo-physical parameters and bio-chemical composition of wood and char used in a specific model (if measured) were used directly from the experimental work or (if not measured or disclosed) matched as close as possible to the wood species from the literature [18]. Within each investigated scenario, models differ with the description of the specific component but not with the parameters.…”
Section: Model Foundationmentioning
confidence: 99%
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“…6) Values of thermo-physical parameters and bio-chemical composition of wood and char used in a specific model (if measured) were used directly from the experimental work or (if not measured or disclosed) matched as close as possible to the wood species from the literature [18]. Within each investigated scenario, models differ with the description of the specific component but not with the parameters.…”
Section: Model Foundationmentioning
confidence: 99%
“…Therefore, the gas permeability of poplar char was selected subjectively, taking into consideration the wood anisotropy and correlations in gas permeability between wood and char, which are known for other wood species [18]. The kinetic scheme based on Shafizadeh and Chin (Table S4) was used in the model.…”
Section: Model Foundationmentioning
confidence: 99%
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