TY - JOUR
T1 - Characterizing Variability in Lignocellulosic Biomass: A Review
AU - Yan, Jipeng
AU - Oyedeji, Oluwafemi
AU - Leal, Juan
AU - Donohoe, Bryon
AU - Semelsberger, Troy
AU - Li, Chenlin
AU - Hoover, Amber
AU - Webb, Erin
AU - Bose, Elizabeth
AU - Zeng, Yining
AU - Williams, C. Luke
AU - Schaller, Kastli
AU - Sun, Ning
AU - Ray, Allison
AU - Tanjore, Deepti
N1 - Publisher Copyright:
Copyright © 2020 American Chemical Society.
PY - 2020/6/8
Y1 - 2020/6/8
N2 - Feedstock variability is a significant barrier to the scale-up and commercialization of lignocellulosic biofuel technologies. Variability in feedstock characteristics and behavior creates numerous challenges to the biorefining industry by affecting continuous operation and biofuels yields. Currently, feedstock variability is understood and explained largely on the basis of chemical composition. Physical and mechanical properties and behavior of lignocellulosic feedstock in various unit operations, studied through advanced analytical methods, can further explain variability. Such studies will enable us in developing processes and designing equipment to improve operation and conversion performance. In this perspective, we review several advanced analytical methods that measure density, moisture content, thermal properties, flowability, grindability, rheology properties, and micromorphological characteristics. We also discuss the correlations and interactions among these properties that reflect the complexity of lignocellulosic biomass as a feedstock and the associated quality metrics and logistics of supplying consistent quality feedstock to a biorefinery. We also examine methods that have not traditionally been used to characterize lignocellulosic feedstocks but have the potential to bridge the gap in our explanation of feedstock variability.
AB - Feedstock variability is a significant barrier to the scale-up and commercialization of lignocellulosic biofuel technologies. Variability in feedstock characteristics and behavior creates numerous challenges to the biorefining industry by affecting continuous operation and biofuels yields. Currently, feedstock variability is understood and explained largely on the basis of chemical composition. Physical and mechanical properties and behavior of lignocellulosic feedstock in various unit operations, studied through advanced analytical methods, can further explain variability. Such studies will enable us in developing processes and designing equipment to improve operation and conversion performance. In this perspective, we review several advanced analytical methods that measure density, moisture content, thermal properties, flowability, grindability, rheology properties, and micromorphological characteristics. We also discuss the correlations and interactions among these properties that reflect the complexity of lignocellulosic biomass as a feedstock and the associated quality metrics and logistics of supplying consistent quality feedstock to a biorefinery. We also examine methods that have not traditionally been used to characterize lignocellulosic feedstocks but have the potential to bridge the gap in our explanation of feedstock variability.
KW - Biomass characterization
KW - Feedstock variability
KW - Operational reliability
KW - Physical and chemical properties
UR - http://www.scopus.com/inward/record.url?scp=85088362066&partnerID=8YFLogxK
U2 - 10.1021/acssuschemeng.9b06263
DO - 10.1021/acssuschemeng.9b06263
M3 - Article
AN - SCOPUS:85088362066
SN - 2168-0485
VL - 8
SP - 8059
EP - 8085
JO - ACS Sustainable Chemistry and Engineering
JF - ACS Sustainable Chemistry and Engineering
IS - 22
ER -