1
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A novel methodology to construct compartment models for a circulating fluidized bed riser. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2023.118470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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2
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Using mesoscale drag model-augmented coarse-grid simulation to design fluidized bed reactor: Effect of bed internals and sizes. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117547] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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3
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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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4
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5
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Huo P, Li X, Liu Y, Qi H. Investigation on influences of loose gas on gas-solid flows in a circulating fluidized bed (CFB) reactor using full-loop numerical simulation. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2020. [DOI: 10.1515/ijcre-2020-0119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The influences of loose gas on gas-solid flows in a large-scale circulating fluidized bed (CFB) gasification reactor were investigated using full-loop numerical simulation. The two-fluid model was coupled with the QC-energy minimization in multi-scale theory (EMMS) gas-solid drag model to simulate the fluidization in the CFB reactor. Effects of the loose gas flow rate, Q, on the solid mass circulation rate and the cyclone separation efficiency were analyzed. The study found different effects depending on Q: First, the particles in the loop seal and the standpipe tended to become more densely packed with decreasing loose gas flow rate, leading to the reduction in the overall circulation rate. The minimum Q that can affect the solid mass circulation rate is about 2.5% of the fluidized gas flow rate. Second, the sealing gas capability of the particles is enhanced as the loose gas flow rate decreases, which reduces the gas leakage into the cyclones and improves their separation efficiency. The best loose gas flow rates are equal to 2.5% of the fluidized gas flow rate at the various supply positions. In addition, the cyclone separation efficiency is correlated with the gas leakage to predict the separation efficiency during industrial operation.
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Affiliation(s)
- Pengju Huo
- Hydrocarbon High-efficiency Utilization Technology Research Center , Shaanxi Yanchang Petroleum Co. Ltd , Xi’an 710075 , P. R. China
| | - Xiaohong Li
- Hydrocarbon High-efficiency Utilization Technology Research Center , Shaanxi Yanchang Petroleum Co. Ltd , Xi’an 710075 , P. R. China
| | - Yang Liu
- Key Laboratory for Thermal Science & Power Engineering of Ministry of Education, Tsinghua University , Beijing 100084 , P. R. China
| | - Haiying Qi
- Key Laboratory for Thermal Science & Power Engineering of Ministry of Education, Tsinghua University , Beijing 100084 , P. R. China
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6
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Numerical Investigation on Proppant–Water Mixture Transport in Slot under High Reynolds Number Conditions. ENERGIES 2020. [DOI: 10.3390/en13215665] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Water hydraulic fracturing involves pumping low viscosity fluid and proppant mixture into the artificial fracture under a high pumping rate. In that high Reynolds number conditions (HRNCs, Re > 2000), the turbulence effect is one of the key factors affecting proppant transportation and placement. In this paper, a Eulerian multiphase model was used to simulate the proppant particle transport in a parallel slot under HRNCs. Turbulence effects in high pumping rates and frictional stress among the proppant particles were taken into consideration, and the Johnson-Jackson wall boundary conditions were used to describe the particle-wall interaction. The numerical simulation result was validated with laboratory-scale slot experiment results. The simulation results demonstrate that the pattern of the proppant bank is significantly affected by the vortex near the wellbore, and the whole proppant transport process can be divided into four stages under HRNCs. Furthermore, the proppant placement structure and the equilibrium height of proppant dune under HRNCs are comprehensively discussed by a parametrical study, including injection position, velocity, proppant density, concentration, and diameter. As the injection position changes from the lower one to the top one, the unpropped area near the entrance decrease by 7.1 times, and the equilibrium height for the primary dune increase by 5.3%. As the velocity of the slurry jet increases from 2 m/s to 5 m/s (Re = 2000–5000), the vortex becomes stronger, so the non-propped area near the inlet increase by 5.3 times, and the equilibrium height decrease by 5.2%. The change of proppant properties does not significantly change the vortex; however, the equilibrium height is affected by the high-speed flush. Thus, the conventional equilibrium height prediction correlation is not suitable for the HRNCs. Therefore, a modified bi-power law prediction correlation was proposed based on the simulation data, which can be used to accurately predict the equilibrium height of the proppant bank under HRNCs (mean deviation = 3.8%).
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7
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Zhu LT, Yang YN, Pan DT, Luo ZH. Capability assessment of coarse-grid simulation of gas-particle riser flow using sub-grid drag closures. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2019.115410] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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8
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An EMMS drag model for coarse grid simulation of polydisperse gas–solid flow in circulating fluidized bed risers. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.06.037] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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9
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A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.04.026] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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10
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Zhong H, Zhang J, Liang S, Zhu Y. Two-fluid model with variable particle–particle restitution coefficient: application to the simulation of FCC riser reactor. PARTICULATE SCIENCE AND TECHNOLOGY 2019. [DOI: 10.1080/02726351.2018.1564094] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Hanbin Zhong
- School of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an, Shaanxi, China
| | - Juntao Zhang
- School of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an, Shaanxi, China
| | - Shengrong Liang
- School of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an, Shaanxi, China
| | - Yuqin Zhu
- School of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an, Shaanxi, China
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11
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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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12
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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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13
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Liu X, Su J, Qian Y, Cui L, Liu X. Comparison of two-fluid and discrete particle modeling of gas-particle flows in micro fluidized beds. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.06.039] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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14
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Gao X, Li T, Sarkar A, Lu L, Rogers WA. Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.03.038] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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15
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Tian T, Jia Z, Geng S, Liu X. Two-fluid Modeling of Geldart A Particles in Gas-solid Bubbling Fluidized Bed: Assessment of Drag Models and Solid Viscosity Correlations. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2018. [DOI: 10.1515/ijcre-2017-0016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AbstractIn this work the influences of solid viscosity and the way to scale-down traditional drag models on the predicted hydrodynamics of Geldart A particles in a lab-scale gas-solid bubbling fluidized bed are investigated. To evaluate the effects of drag models, the modified Gibilaro et al. drag model (constant correction factor) and the EMMS drag model (non-constant correction factor) are tested. And the influences of solid viscosity are assessed by considering the empirical model proposed by Gidaspow et al. (1997, Turbulence, Viscosity and Numerical Simulation of FCC Particles in CFB. Fluidization and Fluid-particle Systems, AIChE Annual Meeting, Los Angeles, 58–62) and the models based on kinetic theory of granular flow (KTGF) with or without frictional stress. The resulting hydrodynamics by incorporating the different combinations of the drag model and solid viscosity model into two-fluid model (TFM) simulations are compared with the experimental data of Zhu et al. (2008, Detailed Measurements of Flow Structure inside a Dense Gas-Solids Fluidized Bed.”Powder Technological180:339–349). The simulation results show that the predicted hydrodynamics closely depends on the setting of solid viscosity. When solid viscosity is calculated from the empirical model of Gidaspow et al., both drag models can reasonably predict the radial solid concentration profiles and particle velocity profiles. When the KTGF viscosity model without frictional stress is adopted, the EMMS drag model significantly over-estimates the bed expansion, whereas the modified Gibilaro et al. drag model can still give acceptable radial solid concentration profiles but over-estimate particle upwards and downwards velocity. When KTGF viscosity model with frictional stress is chosen, both drag models predict the occurrence of slugging. At this time, the particle velocity profiles predicted by EMMS drag model are still in well agreement with the experimental data, but the bed expansion is under-estimated.
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16
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Ghadirian E, Abbasian J, Arastoopour H. Three-dimensional CFD simulation of an MgO-based sorbent regeneration reactor in a carbon capture process. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.06.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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17
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Zi C, Huang Z, Wang J, Yang Y, Ye X. Numerical Study of the Scaling Rules for Riser with Consideration of Cluster Effect. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.6b01976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Can Zi
- State Key Laboratory of Chemical
Engineering, College of Chemical
and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Zhengliang Huang
- State Key Laboratory of Chemical
Engineering, College of Chemical
and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Jingdai Wang
- State Key Laboratory of Chemical
Engineering, College of Chemical
and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yongrong Yang
- State Key Laboratory of Chemical
Engineering, College of Chemical
and Biological Engineering, Zhejiang University, Hangzhou 310027, China
| | - Xiaofeng Ye
- State
Key Laboratory of Polyolefins and Catalysis, Shanghai Research Institute of Chemical Industrial, Shanghai 200062, China
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18
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Hong K, Chen S, Wang W, Li J. Fine-grid two-fluid modeling of fluidization of Geldart A particles. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2015.07.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Shah MT, Utikar RP, Pareek VK, Evans GM, Joshi JB. Computational fluid dynamic modelling of FCC riser: A review. Chem Eng Res Des 2016. [DOI: 10.1016/j.cherd.2016.04.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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20
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Chen C, Dai Q, Qi H. Improvement of EMMS drag model for heterogeneous gas–solid flows based on cluster modeling. Chem Eng Sci 2016. [DOI: 10.1016/j.ces.2015.10.025] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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21
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Zhao Y, Ding T, Zhu L, Zhong Y. A Specularity Coefficient Model and Its Application to Dense Particulate Flow Simulations. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.5b03792] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yunhua Zhao
- Institute
of Energy and Power
Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Tianqiang Ding
- Institute
of Energy and Power
Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Liangyou Zhu
- Institute
of Energy and Power
Engineering, Zhejiang University of Technology, Hangzhou 310014, China
| | - Yingjie Zhong
- Institute
of Energy and Power
Engineering, Zhejiang University of Technology, Hangzhou 310014, China
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22
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Chen S, Fan Y, Yan Z, Wang W, Lu C. CFD simulation of gas–solid two-phase flow and mixing in a FCC riser with feedstock injection. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2015.09.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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23
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Ghadirian E, Arastoopour H. CFD simulation of a fluidized bed using the EMMS approach for the gas-solid drag force. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2015.10.034] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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24
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Performance improvement of existing drag models in two-fluid modeling of gas–solid flows using a PR-DNS based drag model. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.07.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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25
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Zhong H, Lan X, Gao J, Zheng Y, Zhang Z. The difference between specularity coefficient of 1 and no-slip solid phase wall boundary conditions in CFD simulation of gas–solid fluidized beds. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.08.055] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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26
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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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27
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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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28
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Shah S, Myöhänen K, Kallio S, Ritvanen J, Hyppänen T. CFD modeling of gas–solids flow in a large scale circulating fluidized bed furnace. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2015.01.019] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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29
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Zhou Q, Wang J. CFD study of mixing and segregation in CFB risers: Extension of EMMS drag model to binary gas–solid flow. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2014.10.025] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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30
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Shah MT, Utikar RP, Pareek VK, Tade MO, Evans GM. Effect of closure models on Eulerian–Eulerian gas–solid flow predictions in riser. POWDER TECHNOL 2015. [DOI: 10.1016/j.powtec.2014.08.064] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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31
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Liu C, Wang W, Zhang N, Li J. Structure-dependent multi-fluid model for mass transfer and reactions in gas–solid fluidized beds. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2014.09.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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32
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Song F, Wang W, Hong K, Li J. Unification of EMMS and TFM: structure-dependent analysis of mass, momentum and energy conservation. Chem Eng Sci 2014. [DOI: 10.1016/j.ces.2014.08.057] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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33
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New structure-based model for Eulerian simulation of hydrodynamics in gas–solid fluidized beds of Geldart group “A” particles. Chem Eng Sci 2014. [DOI: 10.1016/j.ces.2014.08.042] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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34
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Comparison of full-loop and riser-only simulations for a pilot-scale circulating fluidized bed riser. Chem Eng Sci 2014. [DOI: 10.1016/j.ces.2014.08.041] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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35
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Hong K, Shi Z, Ullah A, Wang W. Extending the bubble-based EMMS model to CFB riser simulations. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2014.06.064] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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36
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Lungu M, Wang J, Yang Y. Numerical Simulations of a Bubbling Fluidized Bed Reactor with an Energy Minimization Multiscale Bubble Based Model: Effect of the Mesoscale. Ind Eng Chem Res 2014. [DOI: 10.1021/ie501492y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Musango Lungu
- State Key Laboratory of Chemical
Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, P.R.China
| | - Jingdai Wang
- State Key Laboratory of Chemical
Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, P.R.China
| | - Yongrong Yang
- State Key Laboratory of Chemical
Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, P.R.China
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37
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Xiong Q, Kong SC. Modeling effects of interphase transport coefficients on biomass pyrolysis in fluidized beds. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2014.04.062] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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38
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Shuai W, Guangbo Z, Guodong L, Huilin L, Feixiang Z, Tianyu Z. Hydrodynamics of gas–solid risers using cluster structure-dependent drag model. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2013.12.036] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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39
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Pantzali M, Lozano Bayón N, Heynderickx G, Marin G. Three-component solids velocity measurements in the middle section of a riser. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.07.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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40
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Hong K, Shi Z, Wang W, Li J. A structure-dependent multi-fluid model (SFM) for heterogeneous gas–solid flow. Chem Eng Sci 2013. [DOI: 10.1016/j.ces.2013.05.050] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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41
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Lu B, Zhang N, Wang W, Li J, Chiu JH, Kang SG. 3-D full-loop simulation of an industrial-scale circulating fluidized-bed boiler. AIChE J 2012. [DOI: 10.1002/aic.13917] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Bona Lu
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; Beijing; 100190; P.R. China
| | - Nan Zhang
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; Beijing; 100190; P.R. China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; Beijing; 100190; P.R. China
| | - Jinghai Li
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering; Chinese Academy of Sciences; Beijing; 100190; P.R. China
| | - John H. Chiu
- ALSTOM Power, Inc.; 2000 Day Hill Road; Windsor; CT; 06095
| | - Shin G. Kang
- ALSTOM Power, Inc.; 2000 Day Hill Road; Windsor; CT; 06095
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42
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43
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An EMMS-based multi-fluid model (EFM) for heterogeneous gas–solid riser flows: Part II. An alternative formulation from dominant mechanisms. Chem Eng Sci 2012. [DOI: 10.1016/j.ces.2012.03.021] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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