Mesoscale Modeling of the Atmosphere and Aerosols

Mesoscale Modeling in Chemical Engineering Part II

10.1016/s0065-2377(15)x0003-2 ◽

2015 ◽

Keyword(s):

Chemical Engineering ◽

Mesoscale Modeling

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Three-dimensional mesoscale modeling of concrete with convex aggregate based on motion simulation

Construction and Building Materials ◽

10.1016/j.conbuildmat.2021.122257 ◽

2021 ◽

Vol 277 ◽

pp. 122257

Author(s):

Tao Chen ◽

Shiyun Xiao

Keyword(s):

Three Dimensional ◽

Mesoscale Modeling ◽

Motion Simulation

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Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors

Reviews in Chemical Engineering ◽

10.1515/revce-2017-0023 ◽

2019 ◽

Vol 35 (8) ◽

pp. 879-915 ◽

Cited By ~ 6

Author(s):

Bona Lu ◽

Yan Niu ◽

Feiguo Chen ◽

Nouman Ahmad ◽

Wei Wang ◽

...

Keyword(s):

Energy Minimization ◽

Fluid Model ◽

Scale Up ◽

Flow Characteristics ◽

Chemical Kinetic ◽

Mesoscale Modeling ◽

Catalytic Reactors ◽

Chemical Kinetic Model ◽

Starting Point ◽

Wide Range

Abstract Gas-solid fluidization is intrinsically dynamic and manifests mesoscale structures spanning a wide range of length and timescales. When involved with reactions, more complex phenomena emerge and thus pose bigger challenges for modeling. As the mesoscale is critical to understand multiphase reactive flows, which the conventional two-fluid model without mesoscale modeling may be inadequate to resolve even using extremely fine grids, this review attempts to demonstrate that the energy-minimization multiscale (EMMS) model could be a starting point to develop such mesoscale modeling. Then, the EMMS-based mesoscale modeling with emphasis on formulation of drag coefficients for different fluidization regimes, modification of mass transfer coefficient, and other extensions are discussed in an attempt to resolve the emerging challenges. Its applications with examples of development of novel fluid catalytic cracking and methanol-to-olefins processes prove that the mesoscale modeling plays a remarkable role in improving the predictions in hydrodynamic behaviors and overall reaction rate. However, the product content primarily depends on the chemical kinetic model itself, suggesting the necessity of an effective coupling between chemical kinetics and flow characteristics. The mesoscale modeling can be believed to accelerate the traditional experimental-based scale-up process with much lower cost in the future.

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