2018
DOI: 10.1021/acs.energyfuels.8b00777
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Combustion of Thermally Thick Wood Particles: A Study on the Influence of Wood Particle Size on the Combustion Behavior

Abstract: A one-dimensional (1D) comprehensive combustion model for thermally thick wet wood particles, which is also applicable for studying large wood logs, is developed. The model describes drying, devolatilization and char gasification as well as char oxidation.Furthermore, CO oxidation is modeled, in order to account for the fact that exiting gas products can be oxidized and therefore limit the oxygen transportation to the active sites. The challenges for model validation are outlined. Model validation was done aga… Show more

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Cited by 16 publications
(9 citation statements)
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“…Since Grønli did not report any problems arising from their choice of numerical solver, it was assumed that the IDA solver can equally well lead to a suitable simulation tool for the thermochemical degradation of wood and char conversion. A grid independence study for the 1D version of a similar case to that studied here was presented in detail in Haberle et al [11]. In the current work, we performed a similar grid independence study to validate that our resolution was high enough.…”
Section: Numerical Solversupporting
confidence: 59%
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“…Since Grønli did not report any problems arising from their choice of numerical solver, it was assumed that the IDA solver can equally well lead to a suitable simulation tool for the thermochemical degradation of wood and char conversion. A grid independence study for the 1D version of a similar case to that studied here was presented in detail in Haberle et al [11]. In the current work, we performed a similar grid independence study to validate that our resolution was high enough.…”
Section: Numerical Solversupporting
confidence: 59%
“…This is why the focus of this work is on the development of 2D models. In addition to the detailed description of the extension of the earlier 1D model developed by Haberle et al [11] to a 2D model, this work also highlights how 2D models compare against common 1D models and outperform them under specific conditions. The development of this 2D standalone code is the first step in developing a wood stove design and optimization tool.…”
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confidence: 84%
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