CFD–DEM modeling of autothermal pyrolysis of corn stover with a coupled particle- and reactor-scale framework

dc.contributor.author Oyedeji, Oluwafemi A.
dc.contributor.author Pecha, M. Brennan
dc.contributor.author Finney, Charles E.A.
dc.contributor.author Peterson, Chad A.
dc.contributor.author Smith, Ryan G.
dc.contributor.author Mills, Zachary G.
dc.contributor.author Gao, Xi
dc.contributor.author Shahnam, Mehrdad
dc.contributor.author Rogers, William A.
dc.contributor.author Ciesielski, Peter N.
dc.contributor.author Brown, Robert
dc.contributor.author Parks II, James E.
dc.contributor.department Mechanical Engineering
dc.contributor.department Bioeconomy Institute
dc.date.accessioned 2023-03-17T18:24:00Z
dc.date.available 2023-03-17T18:24:00Z
dc.date.issued 2022-10-15
dc.description.abstract Autothermal operation of fast pyrolysis is an efficient process-intensification technique wherein exothermic oxidation reactions are used to overcome the heat-transfer bottleneck of conventional pyrolysis. The development of accurate, reliable modeling toolsets is imperative to generating a deeper understanding of biomass autothermal pyrolysis systems to support scale-up and industrial deployment. This modeling effort describes the development of single-particle and reactor models which incorporate detailed reaction schemes and simultaneous exothermic oxidation reactions. The particle-scale model was parameterized for corn stover feedstock with particle morphology, density, ash content, and biopolymer composition, all of which impact the emergent conversion characteristics during pyrolysis. Results were then used to parameterize a reactor-scale autothermal pyrolysis model, which was developed using a coarse-grained computational fluid dynamic–discrete element method. The simulation results compared well with experimental results, with the predicted bio-oil, light gas, and biochar yield within 3.0 wt% of the experimental yields. Further analyses were performed to test the influence of equivalence ratio, biomass injection position, and particle size distribution on autothermal pyrolysis. The analysis of the physio-chemical properties of the fluid and solid phase inside the reactor and at the reactor outlet help reveal important process interactions of autothermal pyrolysis.
dc.description.comments This article is published as Oyedeji, Oluwafemi A., M. Brennan Pecha, Charles EA Finney, Chad A. Peterson, Ryan G. Smith, Zachary G. Mills, Xi Gao et al. "CFD–DEM modeling of autothermal pyrolysis of corn stover with a coupled particle-and reactor-scale framework." Chemical Engineering Journal 446 (2022): 136920. DOI: 10.1016/j.cej.2022.136920. Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/Qr9m9QLr
dc.language.iso en
dc.publisher Elsevier B.V.
dc.source.uri https://doi.org/10.1016/j.cej.2022.136920 *
dc.subject.disciplines DegreeDisciplines::Engineering::Chemical Engineering::Catalysis and Reaction Engineering
dc.subject.disciplines DegreeDisciplines::Engineering::Mechanical Engineering::Heat Transfer, Combustion
dc.subject.keywords MFiX
dc.subject.keywords Multi-scale model
dc.subject.keywords Detailed reaction scheme
dc.subject.keywords Biochar oxidation
dc.subject.keywords Process intensification
dc.subject.keywords Oxidative pyrolysis
dc.title CFD–DEM modeling of autothermal pyrolysis of corn stover with a coupled particle- and reactor-scale framework
dc.type Article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59
relation.isOrgUnitOfPublication cd7a5a33-613e-42b7-951e-0426c9602015
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