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Title: Estimation of heat transfer coefficients for biomass particles by direct numerical simulation using microstructured particle models in the Laminar regime

Abstract

Here, direct numerical simulation of convective heat transfer from hot gas to isolated biomass particle models with realistic morphology and explicit microstructure was performed over a range of conditions with laminar flow of hot gas (500 degrees C). Steady-state results demonstrated that convective interfacial heat transfer is dependent on the wood species. The computed heat transfer coefficients were shown to vary between the pine and aspen models by nearly 20%. These differences are attributed to the species-specific variations in the exterior surface morphology of the biomass particles. We also quantify variations in heat transfer experienced by the particle when positioned in different orientations with respect to the direction of fluid flow. These results are compared to previously reported heat transfer coefficient correlations in the range of 0.1 < Pr < 1.5 and 10 < Re < 500. Comparison of these simulation results to correlations commonly used in the literature (Gunn, Ranz-Marshall, and Bird-Stewart-Lightfoot) shows that the Ranz-Marshall (sphere) correlation gave the closest h values to our steady-state simulations for both wood species, though no existing correlation was within 20% of both species at all conditions studied. In general, this work exemplifies the fact that all biomass feedstocks are not createdmore » equal, and that their species-specific characteristics must be appreciated in order to facilitate accurate simulations of conversion processes.« less

Authors:
 [1];  [2];  [3]; ORCiD logo [3]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States); Washington State Univ., Pullman, WA (United States)
  2. Washington State Univ., Pullman, WA (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO)
OSTI Identifier:
1339243
Report Number(s):
NREL/JA-2700-67424
Journal ID: ISSN 2168-0485
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
ACS Sustainable Chemistry & Engineering
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2168-0485
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; biomass; pyrolysis; heat transfer coefficient; particle modeling; direct numerical simulation

Citation Formats

Pecha, M. Brennan, Garcia-Perez, Manuel, Foust, Thomas D., and Ciesielski, Peter N. Estimation of heat transfer coefficients for biomass particles by direct numerical simulation using microstructured particle models in the Laminar regime. United States: N. p., 2016. Web. doi:10.1021/acssuschemeng.6b02341.
Pecha, M. Brennan, Garcia-Perez, Manuel, Foust, Thomas D., & Ciesielski, Peter N. Estimation of heat transfer coefficients for biomass particles by direct numerical simulation using microstructured particle models in the Laminar regime. United States. https://doi.org/10.1021/acssuschemeng.6b02341
Pecha, M. Brennan, Garcia-Perez, Manuel, Foust, Thomas D., and Ciesielski, Peter N. Tue . "Estimation of heat transfer coefficients for biomass particles by direct numerical simulation using microstructured particle models in the Laminar regime". United States. https://doi.org/10.1021/acssuschemeng.6b02341. https://www.osti.gov/servlets/purl/1339243.
@article{osti_1339243,
title = {Estimation of heat transfer coefficients for biomass particles by direct numerical simulation using microstructured particle models in the Laminar regime},
author = {Pecha, M. Brennan and Garcia-Perez, Manuel and Foust, Thomas D. and Ciesielski, Peter N.},
abstractNote = {Here, direct numerical simulation of convective heat transfer from hot gas to isolated biomass particle models with realistic morphology and explicit microstructure was performed over a range of conditions with laminar flow of hot gas (500 degrees C). Steady-state results demonstrated that convective interfacial heat transfer is dependent on the wood species. The computed heat transfer coefficients were shown to vary between the pine and aspen models by nearly 20%. These differences are attributed to the species-specific variations in the exterior surface morphology of the biomass particles. We also quantify variations in heat transfer experienced by the particle when positioned in different orientations with respect to the direction of fluid flow. These results are compared to previously reported heat transfer coefficient correlations in the range of 0.1 < Pr < 1.5 and 10 < Re < 500. Comparison of these simulation results to correlations commonly used in the literature (Gunn, Ranz-Marshall, and Bird-Stewart-Lightfoot) shows that the Ranz-Marshall (sphere) correlation gave the closest h values to our steady-state simulations for both wood species, though no existing correlation was within 20% of both species at all conditions studied. In general, this work exemplifies the fact that all biomass feedstocks are not created equal, and that their species-specific characteristics must be appreciated in order to facilitate accurate simulations of conversion processes.},
doi = {10.1021/acssuschemeng.6b02341},
journal = {ACS Sustainable Chemistry & Engineering},
number = 1,
volume = 5,
place = {United States},
year = {Tue Nov 08 00:00:00 EST 2016},
month = {Tue Nov 08 00:00:00 EST 2016}
}

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Works referenced in this record:

Conjugate Problems in Convective Heat Transfer
journal, January 2009


Biomass Fast Pyrolysis Reactors: A Review of a Few Scientific Challenges and of Related Recommended Research Topics
journal, June 2013

  • Lédé, J.
  • Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles, Vol. 68, Issue 5
  • DOI: 10.2516/ogst/2013108

Temperature and heating rate of solid particles undergoing a thermal decomposition. Which criteria for characterizing fast pyrolysis?
journal, May 2015


Heat transfer and axial dispersion in packed beds
journal, June 1974


Model for devolatilization of coal particles in fluidized beds
journal, August 1984


A phenomenological model of the mechanisms of lignocellulosic biomass pyrolysis processes
journal, January 2014


Review of direct numerical simulation of fluid–particle mass, momentum and heat transfer in dense gas–solid flows
journal, September 2014

  • Deen, Niels G.; Peters, E. A. J. F.; Padding, Johan T.
  • Chemical Engineering Science, Vol. 116
  • DOI: 10.1016/j.ces.2014.05.039

Control and fuel flexibility of circulating fluidised bed
book, January 1986

  • Kobro, H.; Brereton, C.
  • Circulating Fluidized Bed Technology: Proceedings of the First International Conference on Circulating Fluidized Beds, Halifax, Nova Scotia, Canada, November 18–20, 1985
  • DOI: 10.1016/B978-0-08-031869-1.50032-6

A method to determine thermal properties of grain from system response analysis of a packed bed
journal, November 1988

  • Brown, R. B.; Otten, L.
  • International Journal of Thermophysics, Vol. 9, Issue 6
  • DOI: 10.1007/BF01133280

Computational modelling of the impact of particle size to the heat transfer coefficient between biomass particles and a fluidised bed
journal, January 2010


Direct numerical simulation of particulate flow with heat transfer
journal, December 2013


Direct numerical simulation of fluid–particle heat transfer in fixed random arrays of non-spherical particles
journal, June 2015

  • Tavassoli, H.; Peters, E. A. J. F.; Kuipers, J. A. M.
  • Chemical Engineering Science, Vol. 129
  • DOI: 10.1016/j.ces.2015.02.024

A model of wood flash pyrolysis in fluidized bed reactor
journal, March 2005


One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis
journal, October 2014


Development of a generalized numerical framework for simulating biomass fast pyrolysis in fluidized-bed reactors
journal, August 2013

  • Xiong, Qingang; Kong, Song-Charng; Passalacqua, Alberto
  • Chemical Engineering Science, Vol. 99
  • DOI: 10.1016/j.ces.2013.06.017

Modeling effects of interphase transport coefficients on biomass pyrolysis in fluidized beds
journal, August 2014


Biomass Particle Models with Realistic Morphology and Resolved Microstructure for Simulations of Intraparticle Transport Phenomena
journal, December 2014

  • Ciesielski, Peter N.; Crowley, Michael F.; Nimlos, Mark R.
  • Energy & Fuels, Vol. 29, Issue 1
  • DOI: 10.1021/ef502204v

Sieveless particle size distribution analysis of particulate materials through computer vision
journal, May 2009

  • Igathinathane, C.; Pordesimo, L. O.; Columbus, E. P.
  • Computers and Electronics in Agriculture, Vol. 66, Issue 2
  • DOI: 10.1016/j.compag.2009.01.005

Low-Order Modeling of Internal Heat Transfer in Biomass Particle Pyrolysis
journal, May 2016


Effects of particle shape and size on devolatilization of biomass particle
journal, May 2010


A CFD approach on the effect of particle size on char entrainment in bubbling fluidised bed reactors
journal, January 2010


Review of direct numerical simulation of fluid–particle mass, momentum and heat transfer in dense gas–solid flows
journal, September 2014

  • Deen, Niels G.; Peters, E. A. J. F.; Padding, Johan T.
  • Chemical Engineering Science, Vol. 116
  • DOI: 10.1016/j.ces.2014.05.039

Temperature and heating rate of solid particles undergoing a thermal decomposition. Which criteria for characterizing fast pyrolysis?
journal, May 2015


Principles and practice of biomass fast pyrolysis processes for liquids
journal, July 1999


Works referencing / citing this record:

Advancing catalytic fast pyrolysis through integrated multiscale modeling and experimentation: Challenges, progress, and perspectives
journal, April 2018

  • Ciesielski, Peter N.; Pecha, M. Brennan; Bharadwaj, Vivek S.
  • Wiley Interdisciplinary Reviews: Energy and Environment, Vol. 7, Issue 4
  • DOI: 10.1002/wene.297