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- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received January 16, 2023
Revised June 3, 2023
Accepted July 10, 2023
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Study of the influence of operational parameters on biomass conversion in a pyrolysis reactor via CFD
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Abstract
Pyrolysis has been one of the technologies used to convert biomass into biofuels. Therefore, mathematical
models that can represent its phenomena are of fundamental importance in understanding the reaction progression
and optimizing the process. In this sense, this study compared the results obtained from the lumped-capacitance thermal model proposed in this work with the thermal discretization model that considers thermal conductivity as a function of temperature. Then, the effect of operational parameters such as temperature, gas velocity, and biomass particle
diameter, was compared on the reaction conversion rate. To describe the behavior and interaction between the phases,
we utilized an Eulerian-Lagrangian CFD modeling approach, solving the continuity, momentum, energy, species, and
turbulence equations using OpenFOAM. A factorial design of the type 2k
was used to manipulate the model’s input
parameters, with biomass conversion as the response variable. The numerical results of biomass conversion from the
lumped-capacitance model showed good agreement with the data reported in the literature for the discretized model.
However, we observed a difference of 9.13% in the particle mass behavior and 7.63% in the particle residence time. The
design of experiments (DoE) enabled us to determine the impact of individual parameters and their interactions on the
pyrolysis conversion rate with temperature identified as the most sensitive parameter. Therefore, despite the observed
errors when comparing the two models, the lumped-capacitance model accurately represented the reaction yields and
proved to be suitable for simulations involving a large number of particles, facilitating optimization studies.
Keywords
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