@misc{c2530344015a4d7c88d839cf99c37079,
title = "Impacts of Biomass Feedstock Pre-Processing on Heat and Mass Transfer During Pyrolysis Using X-Ray Computed Tomography and Multiscale Modeling",
abstract = "Knowledge of the transport properties of biomass particles such as porosity, tortuosity, and permeability is paramount for high-fidelity modeling of biomass pyrolysis due to the heat and mass transfer limitations imposed by particle microstructure. X-ray computed tomography (XCT) is a non-destructive imaging method that enables full 3D reconstructions of the biomass particle microstructure with high resolution, permitting direct calculation of porosity, tortuosity, and permeability from real particle geometries. In this study, XCT imaging revealed the 3D microstructures of particles and chars from pyrolytic conversion of cylindrically cut or milled/pelletized loblolly pine samples. The porosity, tortuosity, and permeability were calculated directly from the XCT geometries via open-source microstructural analysis tool MATBOX+TauFactor (https://github.com/NREL/MATBOX_Microstructure_analysis_toolbox) and computational fluid dynamics (CFD) simulations using our solver, Mesoflow (https://github.com/NREL/mesoflow). These properties were used in a reactor scale model developed in COMSOL of the single particle reactor at NREL to investigate the impact of feedstock pre-processing on biomass conversion during pyrolysis with rigorous experimental validation.",
keywords = "biomass, multiscale modeling, pyrolysis, x-ray computed tomography",
author = "Meagan Crowley and Hari Sitaraman and Francois Usseglio-Viretta and Reinhard Seiser and Peter Ciesielski",
year = "2024",
language = "American English",
series = "Presented at TC Biomass 2024, 10-12 September 2024, Itasca, Illinois",
publisher = "National Renewable Energy Laboratory (NREL)",
address = "United States",
type = "Other",
}