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Pyrolysis of single biomass particle using three-dimensional Computational Fluid Dynamics modelling

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dc.contributor.author Wickramaarachchi, EAMKP
dc.contributor.author Narayana, M
dc.date.accessioned 2023-04-25T03:21:31Z
dc.date.available 2023-04-25T03:21:31Z
dc.date.issued 2020
dc.identifier.citation Wickramaarachchi, W. A. M. K. P., & Narayana, M. (2020). Pyrolysis of single biomass particle using three-dimensional Computational Fluid Dynamics modelling. Renewable Energy, 146, 1153–1165. https://doi.org/10.1016/j.renene.2019.07.001 en_US
dc.identifier.issn 0960-1481 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20945
dc.description.abstract In the present work, the drying and pyrolysis process of a thermally thick single wood particle has been investigated. A novel approach has been made considering the two phases gas and solid inside the particle are not in thermal equilibrium. Mathematical relationship was built to determine distinct temperatures of solid and gas boundaries. An unsteady three-dimensional (3D) model is developed and simulated in Computational Fluid Dynamics (CFD) framework. The Euler-Euler approach for modelling of single biomass particle has been succeeded with the help of C++ CFD toolbox in OpenFOAM. The 3D model can simulate the thermochemical conversion process of different particle types, particularly for different shapes to examine the spatial variations during the process. The model was validated by comparing the simulation results with data obtained by experiments conducted using a single particle reactor. en_US
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject CFD Biomass en_US
dc.subject Mathematical model en_US
dc.subject Thermally thick particle en_US
dc.subject Thermal conversion en_US
dc.title Pyrolysis of single biomass particle using three-dimensional Computational Fluid Dynamics modelling en_US
dc.type Article-Full-text en_US
dc.identifier.year 2020 en_US
dc.identifier.journal Renewable Energy en_US
dc.identifier.volume 146 en_US
dc.identifier.database ScienceDirect en_US
dc.identifier.pgnos 1153-1165 en_US
dc.identifier.doi https://doi.org/10.1016/j.renene.2019.07.001 en_US


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