A computational study of the effects of multiphase dynamics in catalytic upgrading of biomass pyrolysis vapor
A computational study of the effects of multiphase dynamics in catalytic upgrading of biomass pyrolysis vapor
复制标题
DOI:
10.1002/aic.16184
复制
发表时间:
2018-09
期刊:
影响因子:
3.7
通讯作者:
Himanshu Goyal;O. Desjardins;P. Pepiot;J. Capecelatro
中科院分区:
文献类型:
--
作者:
Himanshu Goyal;O. Desjardins;P. Pepiot;J. Capecelatro
A recurring challenge among the variety of existing biomass-to-biofuel conversion technologies is the need to ensure optimal and homogeneous contact between the various phases involved. The formulation of robust design rules from an empirical standpoint alone remains di cult due to the wide range of granular flow regimes coexisting within a given reactor. In this work, a volume-filtered Eulerian-Lagrangian framework is employed that solves chemically reacting flows in the presence of catalytic particles. The simulation strategy is used to quantify the role of the particle clustering on catalytic upgrading of biomass pyrolysis vapor in risers. It is shown that particle clustering can reduce the catalytic conversion rate of biomass pyrolysis vapors by up to about 50%. The simulation results are also compared with an engineering model based on continuously stirred tank reactor (CSTR). A one-dimensional Reynolds-averaged transport equation is derived, and the unclosed terms that account for the heterogeneity caused by clusters are evaluated. Reaction Engineering, Kinetics and Catalysis AIChE Journal DOI 10.1002/aic.16184 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/aic.16184 © 2018 American Institute of Chemical Engineers (AIChE) Received: Dec 13, 2017; Revised: Mar 16, 2018; Accepted: Apr 09, 2018 This article is protected by copyright. All rights reserved.