XU Ji, LU Liqiang, GE Wei, et al. Discrete simulation based on EMMS paradigm and its applications in chemical engineering[J]. CIESC Journal, 2016, (1): 14-26.
DOI:
XU Ji, LU Liqiang, GE Wei, et al. Discrete simulation based on EMMS paradigm and its applications in chemical engineering[J]. CIESC Journal, 2016, (1): 14-26.DOI: 10.11949/j.issn.0438-1157.20151468.
Discrete simulation based on EMMS paradigm and its applications in chemical engineering
Chemical engineering systems typically involve three levels of chemistry
chemical engineering and process system engineering. Each level consists of micro-
meso-and macro-scales
such as the particle
particle cluster and reactor scales in the chemical engineering level. The evolution of the micro-scale elements is naturally described by discrete simulation. However
due to the large number of elements existing in these systems
engineering simulations are mostly based on continuum methods which describe their statistically averaged behaviors and overlook the effects of meso-scale structures
leading to low accuracy and predictivity. This review will explain how this problem can be tackled in a systematic approach that keeps the structural consistency of the problem
physical model
software and hardware
and will demonstrate how discrete simulations with high accuracy
capability and efficiency can be carried out for engineering systems
such as complex molecules
granular flow
and gas-solid fluidization. Realization of virtual process engineering (VPE) is prospected finally.
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Related Author
SHANG Haiyang
YAO Jun
ZHAO Yanlin
CHEN Sheng
HE Meng
QIAN Xiaoyu
RUAN Xuan
LI Shuiqing
Related Institution
International Joint Laboratory on Clean Energy Science and Technology, Beijing Key Laboratory of Process Fluid Filtration and Separation, College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing
Technology Innovation Center of Risk Prevention and Control of Refining and Chemical Equipment, State Administration for Market Regulation, China Special Equipment Inspection and Research Institute
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School of Energy and Power Engineering, University of Shanghai for Science and Technology