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Wei L, Li H, Wu C, Lu Y, Luo K. Effect of cohesive particle addition on bubbling characteristics of gas-solid fluidized bed: Meso-scale mechanism. KOREAN J CHEM ENG 2023. [DOI: 10.1007/s11814-023-1376-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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2
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Wang H, Lu Y. 3D Simulations of Voidage Distribution in SCW Fluidized Beds Using the EMMS Model. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hao Wang
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
| | - Youjun Lu
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
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Ahmad N, Deng J, Adnan M. Numerical investigation for the suitable choice of bubble diameter correlation for EMMS/bubbling drag model. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2021.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Adnan M, Sun J, Ahmad N, Wei JJ. Validation and sensitivity analysis of an Eulerian-Eulerian two-fluid model (TFM) for 3D simulations of a tapered fluidized bed. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.08.057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Gómez N, Molina A, Marin GB, Van Geem KM. From 3D to 1D: Capturing the effect of particle clusters in downers in the fluid catalytic cracking of gasoil. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Comparative CFD modeling of a bubbling bed using a Eulerian–Eulerian two-fluid model (TFM) and a Eulerian-Lagrangian dense discrete phase model (DDPM). POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.01.063] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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8
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Adnan M, Sun J, Ahmad N, Wei JJ. Verification and validation of the DDPM-EMMS model for numerical simulations of bubbling, turbulent and circulating fluidized beds. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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9
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Adnan M, Sun J, Ahmad N, Wei JJ. Multiscale modeling of bubbling fluidized bed reactors using a hybrid Eulerian-Lagrangian dense discrete phase approach. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.07.111] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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10
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Li S, Shen Y. Multi-fluid modelling of hydrodynamics in a dual circulating fluidized bed. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.05.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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11
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Wei L, Lu Y. Numerical investigation of binary particle mixing in gas-solid fluidized bed with a bubble-based drag EMMS model. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2020.01.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ren C, Jin H, Ren Z, Ou Z, Dong Y, Cheng Z, Guo L. Simulation of solid-fluid interaction in a supercritical water fluidized bed with a cold jet. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.01.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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14
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Ahmad N, Tong Y, Lu B, Wang W. Extending the EMMS-bubbling model to fluidization of binary particle mixture: Parameter analysis and model validation. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.02.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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15
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Lu B, Niu Y, Chen F, Ahmad N, Wang W, Li J. Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors. REV CHEM ENG 2019. [DOI: 10.1515/revce-2017-0023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
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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Affiliation(s)
- Bona Lu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Dalian National Laboratory for Clean Energy , Dalian 116023 , China
| | - Yan Niu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Sino-Danish College , University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Feiguo Chen
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
| | - Nouman Ahmad
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Sino-Danish College , University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Jinghai Li
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
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Ahmad N, Tian Y, Lu B, Hong K, Wang H, Wang W. Extending the EMMS/bubbling model to fluidization of binary particle mixture: Formulation and steady-state validation. Chin J Chem Eng 2019. [DOI: 10.1016/j.cjche.2018.04.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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17
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18
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Multi-scale CFD modeling of gas-solid bubbling fluidization accounting for sub-grid information. ADV POWDER TECHNOL 2018. [DOI: 10.1016/j.apt.2018.02.024] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Lu B, Zhang J, Luo H, Wang W, Li H, Ye M, Liu Z, Li J. Numerical simulation of scale-up effects of methanol-to-olefins fluidized bed reactors. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.05.007] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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20
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Wei L, Lu Y, Jiang G, Hu J, Zhu J. Unsteady-state bubble dynamic wave velocity of gas–solid bubbling fluidized bed. Chem Eng Res Des 2017. [DOI: 10.1016/j.cherd.2017.08.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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21
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Song S, Hao Z, Dong L, Li J, Fang Y. A bubble-based EMMS model for pressurized fluidization and its validation with data from a jetting fluidized bed. RSC Adv 2016. [DOI: 10.1039/c6ra23956k] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A bubble-based EMMS/PFB model validated by experiments on a laboratory scale pressurized jetting fluidized bed was revised for pressurized fluidization.
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Affiliation(s)
- Sufang Song
- State Key Laboratory of Coal Conversion
- Institute of Coal Chemistry
- Chinese Academy of Sciences
- Taiyuan
- P. R. China
| | - Zhenhua Hao
- State Key Laboratory of Coal Conversion
- Institute of Coal Chemistry
- Chinese Academy of Sciences
- Taiyuan
- P. R. China
| | - Libo Dong
- State Key Laboratory of Coal Conversion
- Institute of Coal Chemistry
- Chinese Academy of Sciences
- Taiyuan
- P. R. China
| | - Junguo Li
- State Key Laboratory of Coal Conversion
- Institute of Coal Chemistry
- Chinese Academy of Sciences
- Taiyuan
- P. R. China
| | - Yitian Fang
- State Key Laboratory of Coal Conversion
- Institute of Coal Chemistry
- Chinese Academy of Sciences
- Taiyuan
- P. R. China
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Zeneli M, Nikolopoulos A, Nikolopoulos N, Grammelis P, Kakaras E. Application of an advanced coupled EMMS-TFM model to a pilot scale CFB carbonator. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.08.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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23
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Gao Y, Gao X, Wu C, Cheng Y, Wang L, Li X. Novel phase inversion model for gas–solid turbulent fluidized beds. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.06.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ullah A, Hong K, Chilton S, Nimmo W. Bubble-based EMMS mixture model applied to turbulent fluidization. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.03.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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25
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Lungu M, Zhou Y, Wang J, Yang Y. A CFD study of a bi-disperse gas–solid fluidized bed: Effect of the EMMS sub grid drag correction. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.04.032] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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