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Go ES, Kim BS, Ling JLJ, Oh SS, Park HJ, Lee SH. In-situ desulfurization using porous Ca-based materials for the oxy-CFB process: A computational study. ENVIRONMENTAL RESEARCH 2023; 225:115582. [PMID: 36858302 DOI: 10.1016/j.envres.2023.115582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/18/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Within circulating fluidized bed (CFB) processes, gas and solid behaviors are mutually affected by operating conditions. Therefore, understanding the behaviors of gas and solid materials inside CFB processes is required for designing and operating those processes. In addition, in order to minimize the environmental impact, modeling to reduce pollutants such as SOx emitted from those processes is essential, and simulation reproduction is necessary for optimization, but little is known. In this study, the gas and solid behaviors in a pilot-scale circulating fluidized bed combustor were investigated by using computational particle fluid dynamics (CPFD) numerical simulation based on the multiphase particle-in-cell (MP-PIC) method under oxy-fuel combustion conditions. In particular, the combustion and in-situ desulfurization reactions simultaneously were considered in this CPFD model. Effect of fluidization number (ULS/Umf) was investigated through the comparison of particle circulation rates with regards to the loop seal flux plane and bed height in the standpipe. In addition, the effects of parameters (temperature, Ca/S molar ratio, and particle size distribution), sensitive indicators for the desulfurization efficiency of limestone, were confirmed. Based on the cycle of the thermodynamic equilibrium curve of limestone, it is suggested that direct and indirect desulfurization occur simultaneously under different operating conditions in CFB, creating an environment in which various reactions other than desulfurization can occur. Addition of the reaction equations (i.e., porosity, diffusion) to the established simple model minimizes uncertainty in the results. Furthermore, the model can be utilized to optimize in-situ desulfurization under oxy-CFB operating conditions.
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Affiliation(s)
- Eun Sol Go
- Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea
| | - Beom-Sik Kim
- Hydrogen Research Center, Research Institute of Industrial Science and Technology, 67, Cheongam-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do, 37673, Republic of Korea
| | - Jester Lih Jie Ling
- Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea
| | - Seung Seok Oh
- Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea
| | - Hyun Jun Park
- Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea
| | - See Hoon Lee
- Department of Environment and Energy, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea; Department of Mineral Resources Energy Engineering, Jeonbuk National University, 567, Baekje-daero, Jeonju-si, jeollabuk-do, 54896, Republic of Korea.
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Song M, Jiao X, Liu X, Hou B. Thermal decomposition mechanism analysis of circulating solids sampled from Ende pulverized‐coal gasifier. ASIA-PAC J CHEM ENG 2023. [DOI: 10.1002/apj.2909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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3
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Dinh CB, Hsiau SS, Su CY, Tsai MY, Chen YS, Nguyen HB, Wan HP. Full-loop study of a dual fluidized bed cold flow system: Hydrodynamic simulation and validation. ADV POWDER TECHNOL 2021. [DOI: 10.1016/j.apt.2021.01.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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4
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Computational fluid dynamics of dual fluidized bed gasifiers for syngas production: Cold flow studies. J Taiwan Inst Chem Eng 2020. [DOI: 10.1016/j.jtice.2020.12.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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5
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Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification. ENERGIES 2020. [DOI: 10.3390/en13205383] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
To help meet the global demand for energy and reduce the use of fossil fuels, alternatives such as the production of syngas from renewable biomass can be considered. This conversion of biomass to syngas is possible through a thermochemical gasification process. To design such gasification systems, model equations can be formulated and solved to predict the quantity and quality of the syngas produced with different operating conditions (temperature, the flow rate of an oxidizing agent, etc.) and with different types of biomass (wood, grass, seeds, food waste, etc.). For the comparison of multiple different types of biomass and optimization to find optimal conditions, simpler models are preferred which can be solved very quickly using modern desktop computers. In this study, a number of different stoichiometric thermodynamic models are compared to determine which are the most appropriate. To correct some of the errors associated with thermodynamic models, correction factors are utilized to modify the equilibrium constants of the methanation and water gas shift reactions, which allows them to better predict the real output composition of the gasification reactors. A number of different models can be obtained using different correction factors, model parameters, and assumptions, and these models are compared and validated against experimental data and modelling studies from the literature.
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Yu J, Lu L, Gao X, Xu Y, Shahnam M, Rogers WA. Coupling reduced‐order modeling and coarse‐grained
CFD‐DEM
to accelerate coal gasifier simulation and optimization. AIChE J 2020. [DOI: 10.1002/aic.17030] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Jia Yu
- National Energy Technology Laboratory Morgantown West Virginia USA
| | - Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Yupeng Xu
- National Energy Technology Laboratory Morgantown West Virginia USA
- Leidos Research Support Team Morgantown West Virginia USA
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia USA
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Eulerian-Lagrangian simulation of the full-loop gas-solid hydrodynamics in a pilot-scale circulating fluidized bed. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.05.043] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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8
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Sharma V, Agarwal VK. Effect of process parameters on circulating fluidized bed coal gasification using 3D full‐loop CFD simulation. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23733] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Vikrant Sharma
- Department of Chemical EngineeringIndian Institute of Technology Roorkee Roorkee India
| | - Vijay K. Agarwal
- Department of Chemical EngineeringIndian Institute of Technology Roorkee Roorkee India
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Dinh CB, Hsiau SS, Su CY, Tsai MY, Chen YS, Nguyen HB, Wan HP. Predictions of undesirable air–sand flow behaviors in a dual fluidized bed cold flow system via a CFD full-loop model. J Taiwan Inst Chem Eng 2020. [DOI: 10.1016/j.jtice.2019.11.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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10
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Sharma V, Agarwal VK. NUMERICAL SIMULATION OF COAL GASIFICATION IN A CIRCULATING FLUIDIZED BED GASIFIER. BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING 2019. [DOI: 10.1590/0104-6632.20190363s20180423] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Zou Z, Du Z, Shao G, Liu Q, Xie Z, Li H, Zhu Q. Hydrodynamic Characteristics of a Pilot-Scale Dual Fluidized Bed with Continuous Feeding and Discharging of Solids: Experiment and 3D Simulation. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02062] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Zheng Zou
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
| | - Zhan Du
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
| | - Guoqiang Shao
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
| | - Qi Liu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zhaohui Xie
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
| | - Hongzhong Li
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Qingshan Zhu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, PR China
- University of Chinese Academy of Sciences, Beijing 100049, PR China
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Yan L, Cao Y, Zhou H, He B. Investigation on biomass steam gasification in a dual fluidized bed reactor with the granular kinetic theory. BIORESOURCE TECHNOLOGY 2018; 269:384-392. [PMID: 30205263 DOI: 10.1016/j.biortech.2018.08.099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 08/21/2018] [Accepted: 08/22/2018] [Indexed: 05/07/2023]
Abstract
The dual fluidized bed (DFB) reactor is promising to convert biomass into high-quality syngas efficiently. In this work, a three-dimensional model is built based on the granular kinetic theory to predict the biomass steam gasification in dual fluidized bed reactors. The model is firstly validated against a series of experimental results. Then, the effects of some essential operation parameters including the biomass flow rate (Fb), the steam to fuel ratio (Rsf) and the gasification temperature (Tg) on the biomass steam gasification properties in a DFB reactor are comprehensively analyzed with the orthogonal method. In the concerned ranges of the operation parameters, the cold gas efficiency is found to be the most sensitive to Fb and least sensitive to Tg. The optimal cold gas efficiency of the DFB gasifier is 82.9% when Fb, Rsf and Tg are 15 kg/h, 1.5 and 900 °C, respectively, and the H2 mole fraction is 46.62%.
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Affiliation(s)
- Linbo Yan
- Institute of Combustion and Thermal Systems, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Yang Cao
- Institute of Combustion and Thermal Systems, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
| | - Hongzhiyuan Zhou
- Institute of Combustion and Thermal Systems, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
| | - Boshu He
- Institute of Combustion and Thermal Systems, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China; Department of Mechanical and Electrical Engineering, Haibin College of Beijing Jiaotong University, Huanghua 061199, Hebei Province, China.
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