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Title: Flowthrough Reductive Catalytic Fractionation of Biomass

Abstract

Reductive catalytic fractionation (RCF) has emerged as a leading biomass fractionation and lignin valorization strategy. Here, flowthrough reactors were used to investigate RCF of poplar. Most RCF studies to date have been conducted in batch, but a flow-based process enables the acquisition of intrinsic kinetic and mechanistic data essential to accelerate the design, optimization, and scale-up of RCF processes. Time-resolved product distributions and yields obtained from experiments with different catalyst loadings were used to identify and deconvolute events during solvolysis and hydrogenolysis. Multi-bed RCF experiments provided unique insights into catalyst deactivation, showing that leaching, sintering, and surface poisoning are causes for decreased catalyst performance. The onset of catalyst deactivation resulted in higher concentrations of unsaturated lignin intermediates and increased occurrence of repolymerization reactions, producing high-molecular-weight species. Overall, this study demonstrates the concept of flowthrough RCF, which will be vital for realistic scale-up of this promising approach.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
OSTI Identifier:
1414064
Report Number(s):
NREL/JA-5100-70664
Journal ID: ISSN 2542-4351
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: Joule; Journal Volume: 1; Journal Issue: 3
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; semi-continuous; lignin; catalysis; RCF; biomass conversion; flow reactors; hydrogenolysis; solvolysis

Citation Formats

Anderson, Eric M., Stone, Michael L., Katahira, Rui, Reed, Michelle, Beckham, Gregg T., and Román-Leshkov, Yuriy. Flowthrough Reductive Catalytic Fractionation of Biomass. United States: N. p., 2017. Web. doi:10.1016/j.joule.2017.10.004.
Anderson, Eric M., Stone, Michael L., Katahira, Rui, Reed, Michelle, Beckham, Gregg T., & Román-Leshkov, Yuriy. Flowthrough Reductive Catalytic Fractionation of Biomass. United States. doi:10.1016/j.joule.2017.10.004.
Anderson, Eric M., Stone, Michael L., Katahira, Rui, Reed, Michelle, Beckham, Gregg T., and Román-Leshkov, Yuriy. Wed . "Flowthrough Reductive Catalytic Fractionation of Biomass". United States. doi:10.1016/j.joule.2017.10.004.
@article{osti_1414064,
title = {Flowthrough Reductive Catalytic Fractionation of Biomass},
author = {Anderson, Eric M. and Stone, Michael L. and Katahira, Rui and Reed, Michelle and Beckham, Gregg T. and Román-Leshkov, Yuriy},
abstractNote = {Reductive catalytic fractionation (RCF) has emerged as a leading biomass fractionation and lignin valorization strategy. Here, flowthrough reactors were used to investigate RCF of poplar. Most RCF studies to date have been conducted in batch, but a flow-based process enables the acquisition of intrinsic kinetic and mechanistic data essential to accelerate the design, optimization, and scale-up of RCF processes. Time-resolved product distributions and yields obtained from experiments with different catalyst loadings were used to identify and deconvolute events during solvolysis and hydrogenolysis. Multi-bed RCF experiments provided unique insights into catalyst deactivation, showing that leaching, sintering, and surface poisoning are causes for decreased catalyst performance. The onset of catalyst deactivation resulted in higher concentrations of unsaturated lignin intermediates and increased occurrence of repolymerization reactions, producing high-molecular-weight species. Overall, this study demonstrates the concept of flowthrough RCF, which will be vital for realistic scale-up of this promising approach.},
doi = {10.1016/j.joule.2017.10.004},
journal = {Joule},
number = 3,
volume = 1,
place = {United States},
year = {Wed Nov 01 00:00:00 EDT 2017},
month = {Wed Nov 01 00:00:00 EDT 2017}
}