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Mirzaei M, Jensen PA, Nakhaei M, Wu H, Zakrzewski S, Zhou H, Lin W. CFD-DDPM coupled with an agglomeration model for simulation of highly loaded large-scale cyclones: Sensitivity analysis of sub-models and model parameters. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2022.118036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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2
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Ouyang B, Zhu LT, Luo ZH. Machine learning for full spatiotemporal acceleration of gas-particle flow simulations. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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3
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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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4
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5
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Zhao L, Zhou Q, Yang B, Chen X. Inhomogeneous drag correction based on surrounding solid volume fraction in low-Reynolds-number regime. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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6
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Mirzaei M, Jensen PA, Nakhaei M, Wu H, Zakrzewski S, Zhou H, Lin W. A hybrid multiphase model accounting for particle agglomeration for coarse-grid simulation of dense solid flow inside large-scale cyclones. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117186] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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7
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A dynamic multiphase turbulence model for coarse-grid simulations of fluidized gas-particle suspensions. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2021.117104] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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8
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9
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10
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Zhu L, Ouyang B, Lei H, Luo Z. Conventional and
data‐driven
modeling of filtered drag, heat transfer, and reaction rate in
gas–particle
flows. AIChE J 2021. [DOI: 10.1002/aic.17299] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Li‐Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - Bo Ouyang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - He Lei
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai People's Republic of China
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11
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Ouyang B, Zhu L, Luo Z. Data‐driven modeling of mesoscale solids stress closures for filtered two‐fluid model in gas–particle flows. AIChE J 2021. [DOI: 10.1002/aic.17290] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Bo Ouyang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Li‐Tao Zhu
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
| | - Zheng‐Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong University Shanghai PR China
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12
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Li JS, Zhu LT, Yan WC, Rashid TAB, Xu QJ, Luo ZH. Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.052] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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14
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Yu J, Gao X, Lu L, Xu Y, Li C, Li T, Rogers WA. Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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15
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Analysis and development of homogeneous drag closure for filtered mesoscale modeling of fluidized gas-particle flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116147] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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16
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He M, Zhao B, Wang J. A unified EMMS-based constitutive law for heterogeneous gas-solid flow in CFB risers. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115797] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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17
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18
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Neau H, Pigou M, Fede P, Ansart R, Baudry C, Mérigoux N, Laviéville J, Fournier Y, Renon N, Simonin O. Massively parallel numerical simulation using up to 36,000 CPU cores of an industrial-scale polydispersed reactive pressurized fluidized bed with a mesh of one billion cells. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.03.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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19
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Zhu L, Tang J, Luo Z. Machine learning to assist filtered two‐fluid model development for dense gas–particle flows. AIChE J 2020. [DOI: 10.1002/aic.16973] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Li‐Tao Zhu
- Department of Chemical EngineeringSchool of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University Shanghai China
| | - Jia‐Xun Tang
- Department of Computer Science and TechnologySchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science Shanghai China
| | - Zheng‐Hong Luo
- Department of Chemical EngineeringSchool of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University Shanghai China
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20
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Schneiderbauer S. Verification and Validation of Spatially Averaged Models for Fluidized Gas‐Particle Suspensions. Chem Eng Technol 2020. [DOI: 10.1002/ceat.201900497] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Simon Schneiderbauer
- Johannes Kepler UniversityChristian Doppler Laboratory for Multi-Scale Modelling of Multiphase Processes Altenbergerstrasse 69 4040 Linz Austria
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21
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Dash S, Mohanty S, Mishra B. CFD modelling and simulation of an industrial scale continuous fluidized bed roaster. ADV POWDER TECHNOL 2020. [DOI: 10.1016/j.apt.2019.11.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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22
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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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23
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Jiang M, Chen X, Zhou Q. A gas pressure gradient‐dependent subgrid drift velocity model for drag prediction in fluidized gas–particle flows. AIChE J 2019. [DOI: 10.1002/aic.16884] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ming Jiang
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
| | - Xiao Chen
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
- Xi'an Jiaotong University Suzhou Institute Suzhou China
| | - Qiang Zhou
- School of Chemical Engineering and TechnologyXi'an Jiaotong University Xi'an China
- State Key Laboratory of Multiphase Flow in Power EngineeringXi'an Jiaotong University Xi'an China
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Simulation-Based Design and Economic Evaluation of a Novel Internally Circulating Fluidized Bed Reactor for Power Production with Integrated CO2 Capture. Processes (Basel) 2019. [DOI: 10.3390/pr7100723] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Limiting global temperature rise to well below 2 °C according to the Paris climate accord will require accelerated development, scale-up, and commercialization of innovative and environmentally friendly reactor concepts. Simulation-based design can play a central role in achieving this goal by decreasing the number of costly and time-consuming experimental scale-up steps. To illustrate this approach, a multiscale computational fluid dynamics (CFD) approach was utilized in this study to simulate a novel internally circulating fluidized bed reactor (ICR) for power production with integrated CO2 capture on an industrial scale. These simulations were made computationally feasible by using closures in a filtered two-fluid model (fTFM) to model the effects of important subgrid multiphase structures. The CFD simulations provided valuable insight regarding ICR behavior, predicting that CO2 capture efficiencies and purities above 95% can be achieved, and proposing a reasonable reactor size. The results from the reactor simulations were then used as input for an economic evaluation of an ICR-based natural gas combined cycle power plant. The economic performance results showed that the ICR plant can achieve a CO2 avoidance cost as low as $58/ton. Future work will investigate additional firing after the ICR to reach the high inlet temperatures of modern gas turbines.
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