TY - JOUR
T1 - Computational Modeling of Multiphase Reactors
AU - Joshi, J. B.
AU - Nandakumar, K.
N1 - Publisher Copyright:
© 2015 by Annual Reviews. All rights reserved.
PY - 2015/7/24
Y1 - 2015/7/24
N2 - Multiphase reactors are very common in chemical industry, and numerous review articles exist that are focused on types of reactors, such as bubble columns, trickle beds, fluid catalytic beds, etc. Currently, there is a high degree of empiricism in the design process of such reactors owing to the complexity of coupled flow and reaction mechanisms. Hence, we focus on synthesizing recent advances in computational and experimental techniques that will enable future designs of such reactors in a more rational manner by exploring a large design space with high-fidelity models (computational fluid dynamics and computational chemistry models) that are validated with high-fidelity measurements (tomography and other detailed spatial measurements) to provide a high degree of rigor. Understanding the spatial distributions of dispersed phases and their interaction during scale up are key challenges that were traditionally addressed through pilot scale experiments, but now can be addressed through advanced modeling.
AB - Multiphase reactors are very common in chemical industry, and numerous review articles exist that are focused on types of reactors, such as bubble columns, trickle beds, fluid catalytic beds, etc. Currently, there is a high degree of empiricism in the design process of such reactors owing to the complexity of coupled flow and reaction mechanisms. Hence, we focus on synthesizing recent advances in computational and experimental techniques that will enable future designs of such reactors in a more rational manner by exploring a large design space with high-fidelity models (computational fluid dynamics and computational chemistry models) that are validated with high-fidelity measurements (tomography and other detailed spatial measurements) to provide a high degree of rigor. Understanding the spatial distributions of dispersed phases and their interaction during scale up are key challenges that were traditionally addressed through pilot scale experiments, but now can be addressed through advanced modeling.
KW - computational chemistry
KW - computational fluid dynamics
KW - gas-liquid
KW - gas-liquid-solid reactors
KW - gas-solid
KW - liquid-solid
UR - http://www.scopus.com/inward/record.url?scp=84938794857&partnerID=8YFLogxK
U2 - 10.1146/annurev-chembioeng-061114-123229
DO - 10.1146/annurev-chembioeng-061114-123229
M3 - 文章
C2 - 26134737
AN - SCOPUS:84938794857
SN - 1947-5438
VL - 6
SP - 347
EP - 378
JO - Annual Review of Chemical and Biomolecular Engineering
JF - Annual Review of Chemical and Biomolecular Engineering
ER -