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Engineering    2017, Vol. 3 Issue (2) : 152 -153
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Toward Greener and Smarter Process Industries
Wei Ge1,2,Li Guo1,2,Jinghai Li1,2
1. State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
Just Accepted Date: 22 March 2017   Online First Date: 06 April 2017    Issue Date: 27 April 2017
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Wei Ge
Li Guo
Jinghai Li
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Wei Ge,Li Guo,Jinghai Li. Toward Greener and Smarter Process Industries[J]. Engineering, 2017, 3(2): 152 -153 .
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1   Li J, Ge W, Kwauk M. Meso-scale phenomena from compromise—A common challenge, not only for chemical engineering. 2009. Eprint arXiv:0912.5407.
2   Li J, Ge W, Wang W, Yang N, Liu X, Wang L, et al.From multiscale modeling to meso-science: A chemical engineering perspective. Berlin: Springer; 2013
doi: 10.1007/978-3-642-35189-1
3   Li J. Approaching virtual process engineering with exploring mesoscience. Chem Eng J 2015;278:541–55..multi
doi: 10.1016/j.cej.2014.10.005
4   Li J. Multiscale-modeling and method of energy minimization for particle-fluid two-phase flow [dissertation]. Beijing: Institute of Chemical Metallurgy, Chinese Academy of Sciences; 1987. Chinese.
5   Li J, Tung Y, Kwauk M. Multi-scale modeling and method of energy minimization in particle-fluid two-phase flow. In: Basu P, editor Circulating fluidized bed technology II . Oxford: Pergamon Press; 1988. p. 89–103
doi: 10.1016/B978-0-08-036225-0.50013-7
6   Li J, Kwauk M. P article-fluid two-phase flow the energy-minimization multi-scale method. Beijing: Metallurgical Industry Press; 1994.
7   Liu M, Li J, Kwauk M. Application of the energy-minimization multi-scale method to gas-liquid-solid fluidized beds. Chem Eng Sci 2001;56(24):6805–12
doi: 10.1016/S0009-2509(01)00318-9
8   Ge W, Chen F, Gao J, Gao S, Huang J, Liu X, et al.Analytical multi-scale method for multi-phase complex systems in process engineering—Bridging reductionism and holism. Chem Eng Sci 2007;62(13):3346–77
doi: 10.1016/j.ces.2007.02.049
9   Yang N, Chen J, Zhao H, Ge W, Li J. Explorations on the multi-scale flow structure and stability condition in bubble columns. Chem Eng Sci 2007;62(24):6978–91
doi: 10.1016/j.ces.2007.08.034
10   Yang N, Chen J, Ge W, Li J. A conceptual model for analyzing the stability condition and regime transition in bubble columns. Chem Eng Sci 2010;65(1):517–26
doi: 10.1016/j.ces.2009.06.014
11   Wang L, Qiu X, Zhang L, Li J. Turbulence originating from the compromise-in-competition between viscosity and inertia. Chem Eng J 2016;300:83–97
doi: 10.1016/j.cej.2016.04.115
12   Yang N, Wang W, Ge W, Li J. CFD simulation of concurrent-up gas-solid flow in circulating fluidized beds with structure-dependent drag coefficient. Chem Eng J 2003;96(1–3):71–80
doi: 10.1016/j.cej.2003.08.006
13   Wang W, Li J. Simulation of gas-solid two-phase flow by a multi-scale CFD approach—Of the EMMS model to the sub-grid level. Chem Eng Sci 2007;62(1–2):208–31
doi: 10.1016/j.ces.2006.08.017
14   Xu M, Chen F, Liu X, Ge W, Li J. Discrete particle simulation of gas-solid two-phase flows with multi-scale CPU-GPU hybrid computation. Chem Eng J 2012;207–208:746–57
doi: 10.1016/j.cej.2012.07.049
15   Lu L, Xu J, Ge W, Yue Y, Liu X, Li J. EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows. Chem Eng Sci 2014;120:67–87
doi: 10.1016/j.ces.2014.08.004
16   Heim M. Virtual realism. Oxford: Oxford University Press; 1998.
17   Zhao Q. A survey on virtual reality. Sci China Inf Sci 2009;52(3):348–400
doi: 10.1007/s11432-009-0066-0
18   Ge W, Wang W, Yang N, Li J, Kwauk M, Chen F, et al.Meso-scale oriented simulation towards virtual process engineering (VPE)—The EMMS paradigm. Chem Eng Sci 2011;66(19):4426–58
doi: 10.1016/j.ces.2011.05.029
19   Liu X, Guo L, Xia Z, Lu B, Zhao M, Meng F, et al.Harnessing the power of virtual reality. Chem Eng Prog 2012;108(7):28–33.
20   Lu L, Xu J, Ge W, Gao G, Jiang Y, Zhao M, et al.Computer virtual experiment on fluidized beds using a coarse-grained discrete particle method—EMMS-DPM. Chem Eng Sci 2016;155:314–37
doi: 10.1016/j.ces.2016.08.013
21   Liu H, Lu J, Lü J, Hill DJ. Structure identification of uncertain general complex dynamical networks with time delay. Automatica 2009;45(8):1799–807
doi: 10.1016/j.automatica.2009.03.022
22   Li X, Zheng M, Liu J, Guo L. Revealing chemical reactions of coal pyrolysis with GPU-enabled ReaxFF molecular dynamics and cheminformatics analysis. Mol Simul 2015;41(1–3):13–27
doi: 10.1080/08927022.2014.913789
23   Zhang T, Li X, Qiao X, Zheng M, Guo L, Song W, et al.Initial mechanisms for an overall behavior of lignin pyrolysis through large-scale ReaxFF molecular dynamics simulations. Energy Fuels 2016;30(4):3140–50
doi: 10.1021/acs.energyfuels.6b00247
24   Zheng M, Wang Z, Li X, Qiao X, Song W, Guo L. Initial reaction mechanisms of cellulose pyrolysis revealed by ReaxFF molecular dynamics. Fuel 2016;177:130–41
doi: 10.1016/j.fuel.2016.03.008
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