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Title: Online residence time distribution measurement of thermochemical biomass pretreatment reactors

Abstract

Residence time is a critical parameter that strongly affects the product profile and overall yield achieved from thermochemical pretreatment of lignocellulosic biomass during production of liquid transportation fuels. The residence time distribution (RTD) is one important measure of reactor performance and provides a metric to use when evaluating changes in reactor design and operating parameters. An inexpensive and rapid RTD measurement technique was developed to measure the residence time characteristics in biomass pretreatment reactors and similar equipment processing wet-granular slurries. Sodium chloride was pulsed into the feed entering a 600 kg/d pilot-scale reactor operated at various conditions, and aqueous salt concentration was measured in the discharge using specially fabricated electrical conductivity instrumentation. This online conductivity method was superior in both measurement accuracy and resource requirements compared to offline analysis. Experimentally measured mean residence time values were longer than estimated by simple calculation and screw speed and throughput rate were investigated as contributing factors. In conclusion, a semi-empirical model was developed to predict the mean residence time as a function of operating parameters and enabled improved agreement.

Authors:
 [1];  [1];  [1];  [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office
OSTI Identifier:
1227702
Alternate Identifier(s):
OSTI ID: 1358921
Report Number(s):
NREL/JA-5100-63452
Journal ID: ISSN 0009-2509
Grant/Contract Number:  
AC36-08GO28308; AC36-08-GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Chemical Engineering Science
Additional Journal Information:
Journal Volume: 140; Related Information: Chemical Engineering Science; Journal ID: ISSN 0009-2509
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; biomass pretreatment; residence-time distribution; electrical conductivity; screw-conveyed reactor

Citation Formats

Sievers, David A., Kuhn, Erik M., Stickel, Jonathan J., Tucker, Melvin P., and Wolfrum, Edward J. Online residence time distribution measurement of thermochemical biomass pretreatment reactors. United States: N. p., 2015. Web. doi:10.1016/j.ces.2015.10.031.
Sievers, David A., Kuhn, Erik M., Stickel, Jonathan J., Tucker, Melvin P., & Wolfrum, Edward J. Online residence time distribution measurement of thermochemical biomass pretreatment reactors. United States. https://doi.org/10.1016/j.ces.2015.10.031
Sievers, David A., Kuhn, Erik M., Stickel, Jonathan J., Tucker, Melvin P., and Wolfrum, Edward J. Tue . "Online residence time distribution measurement of thermochemical biomass pretreatment reactors". United States. https://doi.org/10.1016/j.ces.2015.10.031. https://www.osti.gov/servlets/purl/1227702.
@article{osti_1227702,
title = {Online residence time distribution measurement of thermochemical biomass pretreatment reactors},
author = {Sievers, David A. and Kuhn, Erik M. and Stickel, Jonathan J. and Tucker, Melvin P. and Wolfrum, Edward J.},
abstractNote = {Residence time is a critical parameter that strongly affects the product profile and overall yield achieved from thermochemical pretreatment of lignocellulosic biomass during production of liquid transportation fuels. The residence time distribution (RTD) is one important measure of reactor performance and provides a metric to use when evaluating changes in reactor design and operating parameters. An inexpensive and rapid RTD measurement technique was developed to measure the residence time characteristics in biomass pretreatment reactors and similar equipment processing wet-granular slurries. Sodium chloride was pulsed into the feed entering a 600 kg/d pilot-scale reactor operated at various conditions, and aqueous salt concentration was measured in the discharge using specially fabricated electrical conductivity instrumentation. This online conductivity method was superior in both measurement accuracy and resource requirements compared to offline analysis. Experimentally measured mean residence time values were longer than estimated by simple calculation and screw speed and throughput rate were investigated as contributing factors. In conclusion, a semi-empirical model was developed to predict the mean residence time as a function of operating parameters and enabled improved agreement.},
doi = {10.1016/j.ces.2015.10.031},
journal = {Chemical Engineering Science},
number = ,
volume = 140,
place = {United States},
year = {2015},
month = {11}
}

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Cited by: 5 works
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Works referenced in this record:

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Works referencing / citing this record:

Assessing pretreatment reactor scaling through empirical analysis
journal, October 2016

  • Lischeske, James J.; Crawford, Nathan C.; Kuhn, Erik
  • Biotechnology for Biofuels, Vol. 9, Issue 1
  • DOI: 10.1186/s13068-016-0620-0

Comparison of computational fluid dynamics–discrete element method and discrete element method simulations for a screw conveyor
journal, December 2019

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