Biomass steam gasification in bubbling fluidized bed for higher-H2 syngas: CFD simulation with coarse grain model |
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| Affiliation: | 1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;2. Henan Key Lab of Biomass Energy, Zhengzhou 450008, China;3. Henan Academy of Science, Zhengzhou 450008, China;4. Division of Combustion Physics, Lund University, Lund 22100, Sweden;5. Division of Fluid Mechanics, Lund University, Lund 22100, Sweden;1. Sembcorp-NUS Corporate Laboratory, 1 Engineering Drive 2, 117576, Singapore;2. Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, 117575, Singapore;1. State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming 650093, Yunnan, China;2. School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore;3. Singapore Membrane Technology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore;1. Bioenergy 2020+ GmbH, Wiener Strasse 49, A-7540 Güssing, Austria;2. TU Wien, Institute of Chemical Engineering, Getreidemarkt 9/166, Vienna, Austria;1. Department of Engineering Mechanics, Zhejiang University, 310027 Hangzhou, China;2. State Key Laboratory of Clean Energy Utilization, Zhejiang University, 310027 Hangzhou, China;3. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310027 Hangzhou, China |
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| Abstract: | A comprehensive coarse grain model (CGM) is applied to simulation of biomass steam gasification in bubbling fluidized bed reactor. The CGM was evaluated by comparing the hydrodynamic behavior and heat transfer prediction with the results predicted using the discrete element method (DEM) and experimental data in a lab-scale fluidized bed furnace. CGM shows good performance and the computational time is significantly shorter than the DEM approach. The CGM is used to study the effects of different operating temperature and steam/biomass (S/B) ratio on the gasification process and product gas composition. The results show that higher temperature enhances the production of CO, and higher S/B ratio improves the production of H2, while it suppresses the production of CO. For the main product H2, the minimum relative error of CGM in comparison with experiment is 1%, the maximum relative error is less than 4%. For the total gas yield and H2 gas yield, the maximum relative errors are less than 7%. The predicted concentration of different product gases is in good agreement with experimental data. CGM is shown to provide reliable prediction of the gasification process in fluidized bed furnace with considerably reduced computational time. |
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| Keywords: | Numerical simulation CGM Fluidized bed Biomass steam gasification |
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