Characterizing Biomass Feedstock Transport Properties Using State of the Art Imaging and Computational Techniques

Meagan Crowley; Hariswaran Sitaraman; Jordan Klinger; Francois Usseglio-Viretta; Nick Thornburg; M. Brennan Pecha; Nicholas Brunhart-Lupo; Yidong Xia; Peter Ciesielski

Characterizing Biomass Feedstock Transport Properties Using State of the Art Imaging and Computational Techniques

Meagan Crowley, Hariswaran Sitaraman, Jordan Klinger, Francois Usseglio-Viretta, Nick Thornburg, M. Brennan Pecha, Nicholas Brunhart-Lupo, Yidong Xia, Peter Ciesielski

Idaho National Laboratory

Research output: NREL › Poster

Abstract

The microstructure of lignocellulosic biomass determines heat and mass transfer during conversion processes. We present a novel method for characterizing the transport properties of biomass using advanced imaging and computational techniques. The microstructure of two woody feedstocks, red oak and Douglas fir, before and after pyrolysis, is revealed using X-ray computed tomography (XCT). Transport properties are calculated from the XCT images, and principal permeability tensors are calculated using an immersed boundary-based finite volume solver to model gas flow through the geometries. We observe that the permeabilities of native biomass are distinctly anisotropic, however, this anisotropy is greatly reduced after pyrolysis.

Original language	American English
State	Published - 2022

Publication series

Name	Presented at the Feedstock Conversion Interface Consortium (FCIC) 2022 Annual Meeting, 9 June 2022

NREL Publication Number

NREL/PO-2800-83182

Keywords

adaptive mesh refinement
biomass
characterization
feedstock conversion
image analysis
pyrolysis
transport phenomena
x-ray computed tomography

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https://www.nrel.gov/docs/fy22osti/83182.pdf

Cite this

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title = "Characterizing Biomass Feedstock Transport Properties Using State of the Art Imaging and Computational Techniques",

abstract = "The microstructure of lignocellulosic biomass determines heat and mass transfer during conversion processes. We present a novel method for characterizing the transport properties of biomass using advanced imaging and computational techniques. The microstructure of two woody feedstocks, red oak and Douglas fir, before and after pyrolysis, is revealed using X-ray computed tomography (XCT). Transport properties are calculated from the XCT images, and principal permeability tensors are calculated using an immersed boundary-based finite volume solver to model gas flow through the geometries. We observe that the permeabilities of native biomass are distinctly anisotropic, however, this anisotropy is greatly reduced after pyrolysis.",

keywords = "adaptive mesh refinement, biomass, characterization, feedstock conversion, image analysis, pyrolysis, transport phenomena, x-ray computed tomography",

author = "Meagan Crowley and Hariswaran Sitaraman and Jordan Klinger and Francois Usseglio-Viretta and Nick Thornburg and Pecha, {M. Brennan} and Nicholas Brunhart-Lupo and Yidong Xia and Peter Ciesielski",

year = "2022",

language = "American English",

series = "Presented at the Feedstock Conversion Interface Consortium (FCIC) 2022 Annual Meeting, 9 June 2022",

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T1 - Characterizing Biomass Feedstock Transport Properties Using State of the Art Imaging and Computational Techniques

AU - Crowley, Meagan

AU - Sitaraman, Hariswaran

AU - Klinger, Jordan

AU - Usseglio-Viretta, Francois

AU - Thornburg, Nick

AU - Pecha, M. Brennan

AU - Brunhart-Lupo, Nicholas

AU - Xia, Yidong

AU - Ciesielski, Peter

PY - 2022

Y1 - 2022

N2 - The microstructure of lignocellulosic biomass determines heat and mass transfer during conversion processes. We present a novel method for characterizing the transport properties of biomass using advanced imaging and computational techniques. The microstructure of two woody feedstocks, red oak and Douglas fir, before and after pyrolysis, is revealed using X-ray computed tomography (XCT). Transport properties are calculated from the XCT images, and principal permeability tensors are calculated using an immersed boundary-based finite volume solver to model gas flow through the geometries. We observe that the permeabilities of native biomass are distinctly anisotropic, however, this anisotropy is greatly reduced after pyrolysis.

AB - The microstructure of lignocellulosic biomass determines heat and mass transfer during conversion processes. We present a novel method for characterizing the transport properties of biomass using advanced imaging and computational techniques. The microstructure of two woody feedstocks, red oak and Douglas fir, before and after pyrolysis, is revealed using X-ray computed tomography (XCT). Transport properties are calculated from the XCT images, and principal permeability tensors are calculated using an immersed boundary-based finite volume solver to model gas flow through the geometries. We observe that the permeabilities of native biomass are distinctly anisotropic, however, this anisotropy is greatly reduced after pyrolysis.

KW - adaptive mesh refinement

KW - biomass

KW - characterization

KW - feedstock conversion

KW - image analysis

KW - pyrolysis

KW - transport phenomena

KW - x-ray computed tomography

M3 - Poster

T3 - Presented at the Feedstock Conversion Interface Consortium (FCIC) 2022 Annual Meeting, 9 June 2022

ER -

Characterizing Biomass Feedstock Transport Properties Using State of the Art Imaging and Computational Techniques

Abstract

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Keywords

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