2020 Virtual AIChE Annual Meeting

(437e) Mesoscale Reaction?Diffusion Phenomena Governing Lignin?First Biomass Fractionation

Authors

Nicholas E. Thornburg - Presenter, National Renewable Energy Laboratory
David Brandner, National Renewable Energy Lab
Michelle L. Reed, National Renewable Energy Laboratory
Josh V. Vermaas, National Renewable Energy Laboratoray
William E. Michener, National Renewable Energy Laboratory
Rui Katahira, National Renewable Energy Laboratory
Todd B. Vinzant, National Renewable Energy Laboratory
Thomas D. Foust, National Renewable Energy Laboratory
Bryon Donohoe, National Renewable Energy Laboratory
Xiaowen Chen, National Renewable Energy Laboratory
David A. Sievers, National Renewable Energy Laboratory
Edward Wolfrum, National Renewable Energy Laboratory
Peter N. Ciesielski, National Renewable Energy Laboratory
Gregg Beckham, National Renewable Energy Laboratory
Lignin solvolysis from the plant cell wall is the critical first step in lignin depolymerization processes involving whole biomass feedstocks. However, little is known about the coupled reaction kinetics and transport phenomena that govern effective rates of lignin extraction. We will present an experimentally validated simulation framework that determines intrinsic, transport‐independent kinetic parameters for the solvolysis of lignin, hemicellulose, and cellulose upon incorporating feedstock characteristics for methanol‐based extraction of poplar as an example fractionation process. Lignin fragment diffusion is predicted to compete on the same time and length scales as reactions of lignin within cell walls and longitudinal pores of typical milled particle sizes, with mass transfer resistances predicted to dominate solvolysis of poplar particles exceeding as little as ~2 mm in length. Beyond the ~2 mm threshold, effectiveness factors are predicted below 0.25, implying that pore diffusion resistances may attenuate observable kinetic rate measurements by at least 75% in such cases. Thus, researchers are recommended to conduct kinetic evaluations of lignin‐first catalysts using biomass particles smaller than ~0.2 mm in length to avoid feedstock‐specific mass transfer limitations in lignin conversion studies. Lastly, this simulation framework will be extended to model the alkaline deacetylation of corn stover, an unrelated pretreatment system which exhibits unique mesoscale diffusion limitations. Overall, this presentation highlights opportunities to improve biomass fractionation and conversion via reaction engineering and provides actionable kinetic information to guide the design and scale‐up of emerging biorefinery strategies.