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Title: Low-order modeling of internal heat transfer in biomass particle pyrolysis

Abstract

We present a computationally efficient, one-dimensional simulation methodology for biomass particle heating under conditions typical of fast pyrolysis. Our methodology is based on identifying the rate limiting geometric and structural factors for conductive heat transport in biomass particle models with realistic morphology to develop low-order approximations that behave appropriately. Comparisons of transient temperature trends predicted by our one-dimensional method with three-dimensional simulations of woody biomass particles reveal good agreement, if the appropriate equivalent spherical diameter and bulk thermal properties are used. Here, we conclude that, for particle sizes and heating regimes typical of fast pyrolysis, it is possible to simulate biomass particle heating with reasonable accuracy and minimal computational overhead, even when variable size, aspherical shape, anisotropic conductivity, and complex, species-specific internal pore geometry are incorporated.

Authors:
 [1];  [1];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Fuels, Engines and Emissions Research Center (FEERC)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1261553
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Energy and Fuels
Additional Journal Information:
Journal Volume: 30; Journal Issue: 6; Journal ID: ISSN 0887-0624
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; biomass; bio-fuel; pyrolysis; heat transfer; thermochemical; python

Citation Formats

Wiggins, Gavin M., Daw, C. Stuart, and Ciesielski, Peter N. Low-order modeling of internal heat transfer in biomass particle pyrolysis. United States: N. p., 2016. Web. doi:10.1021/acs.energyfuels.6b00554.
Wiggins, Gavin M., Daw, C. Stuart, & Ciesielski, Peter N. Low-order modeling of internal heat transfer in biomass particle pyrolysis. United States. https://doi.org/10.1021/acs.energyfuels.6b00554
Wiggins, Gavin M., Daw, C. Stuart, and Ciesielski, Peter N. Wed . "Low-order modeling of internal heat transfer in biomass particle pyrolysis". United States. https://doi.org/10.1021/acs.energyfuels.6b00554. https://www.osti.gov/servlets/purl/1261553.
@article{osti_1261553,
title = {Low-order modeling of internal heat transfer in biomass particle pyrolysis},
author = {Wiggins, Gavin M. and Daw, C. Stuart and Ciesielski, Peter N.},
abstractNote = {We present a computationally efficient, one-dimensional simulation methodology for biomass particle heating under conditions typical of fast pyrolysis. Our methodology is based on identifying the rate limiting geometric and structural factors for conductive heat transport in biomass particle models with realistic morphology to develop low-order approximations that behave appropriately. Comparisons of transient temperature trends predicted by our one-dimensional method with three-dimensional simulations of woody biomass particles reveal good agreement, if the appropriate equivalent spherical diameter and bulk thermal properties are used. Here, we conclude that, for particle sizes and heating regimes typical of fast pyrolysis, it is possible to simulate biomass particle heating with reasonable accuracy and minimal computational overhead, even when variable size, aspherical shape, anisotropic conductivity, and complex, species-specific internal pore geometry are incorporated.},
doi = {10.1021/acs.energyfuels.6b00554},
journal = {Energy and Fuels},
number = 6,
volume = 30,
place = {United States},
year = {Wed May 11 00:00:00 EDT 2016},
month = {Wed May 11 00:00:00 EDT 2016}
}

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Cited by: 21 works
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