TY - GEN
T1 - An overview of storage-related changes occurring in cellulosic biomass under commercially relevant conditions
AU - Smith, William A.
AU - Wendt, Lynn M.
AU - Quiroz Arita, Carlos E.
AU - Dee, Matthew
AU - Plummer, Mitchell A.
N1 - Funding Information:
This work is supported by the U.S. Department of Energy’s Office of Energy Efficiency & Renewable Energy, Bioenergy Technologies Office, under DOE Idaho Operations Office Contract DE-AC07-05ID14517
Publisher Copyright:
© 2019 American Institute of Chemical Engineers. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Corn stover has been used as a model biomass feedstock to show how moisture-a major contributor to biomass instability over time-impacts biomass quality throughout storage Moisture and its effects on DML and composition are dynamic both spatially and temporally Biological degradation-via aerobic respiration of structural carbohydrates-is a driver of material loss, heat generation, and moisture migration. Biological activity and biomass moisture content are coupled: - Moisture content controls biological activity - Biological activity creates heat and moisture - Heating drives vapor-phase moisture movement Computational modeling can describe these complex interactions and be used to improve our understanding about how and when degradation occurs and how we can develop strategies (i.e. drying or “just in time retrieval”) to reduce and/or manage material and compositional losses in storage Modeling output lets us evaluate practical methods to mobilize and reduce moisture in storage Active biomass storage management strategies can be employed using the outputs of computational models for moisture migration and coupled dry matter loss.
AB - Corn stover has been used as a model biomass feedstock to show how moisture-a major contributor to biomass instability over time-impacts biomass quality throughout storage Moisture and its effects on DML and composition are dynamic both spatially and temporally Biological degradation-via aerobic respiration of structural carbohydrates-is a driver of material loss, heat generation, and moisture migration. Biological activity and biomass moisture content are coupled: - Moisture content controls biological activity - Biological activity creates heat and moisture - Heating drives vapor-phase moisture movement Computational modeling can describe these complex interactions and be used to improve our understanding about how and when degradation occurs and how we can develop strategies (i.e. drying or “just in time retrieval”) to reduce and/or manage material and compositional losses in storage Modeling output lets us evaluate practical methods to mobilize and reduce moisture in storage Active biomass storage management strategies can be employed using the outputs of computational models for moisture migration and coupled dry matter loss.
UR - http://www.scopus.com/inward/record.url?scp=85095704253&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85095704253
T3 - AIChE Annual Meeting, Conference Proceedings
BT - 2019 AIChE Annual Meeting
PB - American Institute of Chemical Engineers
T2 - 2019 AIChE Annual Meeting
Y2 - 10 November 2019 through 15 November 2019
ER -