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Title: Numerical simulation of vortex pyrolysis reactors for condensable tar production from biomass

Abstract

A numerical study is performed in order to evaluate the performance and optimal operating conditions of vortex pyrolysis reactors used for condensable tar production from biomass. A detailed mathematical model of porous biomass particle pyrolysis is coupled with a compressible Reynolds stress transport model for the turbulent reactor swirling flow. An initial evaluation of particle dimensionality effects is made through comparisons of single- (1D) and multi-dimensional particle simulations and reveals that the 1D particle model results in conservative estimates for total pyrolysis conversion times and tar collection. The observed deviations are due predominantly to geometry effects while directional effects from thermal conductivity and permeability variations are relatively small. Rapid ablative particle heating rates are attributed to a mechanical fragmentation of the biomass particles that is modeled using a critical porosity for matrix breakup. Optimal thermal conditions for tar production are observed for 900 K. Effects of biomass identity, particle size distribution, and reactor geometry and scale are discussed.

Authors:
;  [1]
  1. California Inst. of Tech., Pasadena, CA (United States). Jet Propulsion Lab.
Publication Date:
Research Org.:
National Renewable Energy Lab., Golden, CO (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
305622
Report Number(s):
NREL/CP-570-25315-Vol.2; CONF-980440-Vol.2
Journal ID: ISSN 0887--0624; ON: DE98007508; TRN: IM9906%%302
Resource Type:
Conference
Resource Relation:
Journal Volume: 12; Journal Issue: 1; Conference: US DOE hydrogen program technical review meeting, Alexandria, VA (United States), 28-30 Apr 1998; Other Information: PBD: Aug 1998; Related Information: Is Part Of Proceedings of the 1998 U.S. DOE Hydrogen Program Review: Volume 2; PB: 390 p.
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; CHEMICAL REACTORS; MATHEMATICAL MODELS; PERFORMANCE; OPERATION; PYROLYSIS; VORTEX FLOW; TAR; WOOD; CHEMICAL REACTION YIELD

Citation Formats

Miller, R S, and Bellan, J. Numerical simulation of vortex pyrolysis reactors for condensable tar production from biomass. United States: N. p., 1998. Web. doi:10.1021/ef970088a.
Miller, R S, & Bellan, J. Numerical simulation of vortex pyrolysis reactors for condensable tar production from biomass. United States. doi:10.1021/ef970088a.
Miller, R S, and Bellan, J. Sat . "Numerical simulation of vortex pyrolysis reactors for condensable tar production from biomass". United States. doi:10.1021/ef970088a. https://www.osti.gov/servlets/purl/305622.
@article{osti_305622,
title = {Numerical simulation of vortex pyrolysis reactors for condensable tar production from biomass},
author = {Miller, R S and Bellan, J},
abstractNote = {A numerical study is performed in order to evaluate the performance and optimal operating conditions of vortex pyrolysis reactors used for condensable tar production from biomass. A detailed mathematical model of porous biomass particle pyrolysis is coupled with a compressible Reynolds stress transport model for the turbulent reactor swirling flow. An initial evaluation of particle dimensionality effects is made through comparisons of single- (1D) and multi-dimensional particle simulations and reveals that the 1D particle model results in conservative estimates for total pyrolysis conversion times and tar collection. The observed deviations are due predominantly to geometry effects while directional effects from thermal conductivity and permeability variations are relatively small. Rapid ablative particle heating rates are attributed to a mechanical fragmentation of the biomass particles that is modeled using a critical porosity for matrix breakup. Optimal thermal conditions for tar production are observed for 900 K. Effects of biomass identity, particle size distribution, and reactor geometry and scale are discussed.},
doi = {10.1021/ef970088a},
journal = {},
issn = {0887--0624},
number = 1,
volume = 12,
place = {United States},
year = {1998},
month = {8}
}

Conference:
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