Biomass steam gasification in bubbling fluidized bed for higher-H2 syngas: CFD simulation with coarse grain model

被引:61
|
作者
Qi, Tian [1 ,2 ]
Lei, Tingzhou [1 ,2 ,3 ]
Yan, Beibei [1 ]
Chen, Guanyi [1 ]
Li, Zhongshan [1 ,4 ]
Fatehi, Hesameddin [5 ]
Wang, Zhiwei [2 ,3 ]
Bai, Xue-Song [5 ]
机构
[1] Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China
[2] Henan Key Lab Biomass Energy, Zhengzhou 450008, Henan, Peoples R China
[3] Henan Acad Sci, Zhengzhou 450008, Henan, Peoples R China
[4] Lund Univ, Div Combust Phys, S-22100 Lund, Sweden
[5] Lund Univ, Div Fluid Mech, S-22100 Lund, Sweden
基金
中国国家自然科学基金;
关键词
Numerical simulation; CGM; Fluidized bed; Biomass steam gasification; EULERIAN-LAGRANGIAN SIMULATION; WOOD GASIFICATION; HIGH-TEMPERATURE; PARTICLE METHOD; DEM SIMULATION; HEAT-TRANSFER; CHARCOAL BED; FLOW; VALIDATION; COMBUSTION;
D O I
10.1016/j.ijhydene.2019.01.146
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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 H-2, while it suppresses the production of CO. For the main product H-2, 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 H-2 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. (C) 2019 Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.
引用
收藏
页码:6448 / 6460
页数:13
相关论文
共 50 条
  • [21] Steam/oxygen biomass gasification at pilot scale in an internally circulating bubbling fluidized bed reactor
    Barisano, D.
    Canneto, G.
    Nanna, F.
    Alvino, E.
    Pinto, G.
    Villone, A.
    Carnevale, M.
    Valerio, V.
    Battafarano, A.
    Braccio, G.
    FUEL PROCESSING TECHNOLOGY, 2016, 141 : 74 - 81
  • [22] A Numerical Simulation and Experimental Study of Fluidization Characteristics of a Bubbling Fluidized Bed in Biomass Gasification
    Gao, Na
    Zhu, Kang
    Fang, Shiwen
    Deng, Lisheng
    Lin, Yan
    Huang, Zhen
    Li, Jun
    Huang, Hongyu
    ENERGIES, 2024, 17 (10)
  • [23] H2-rich syngas production by fluidized bed gasification of biomass and plastic fuel
    Ruoppolo, G.
    Ammendola, P.
    Chirone, R.
    Miccio, F.
    WASTE MANAGEMENT, 2012, 32 (04) : 724 - 732
  • [24] Prediction of syngas properties of biomass steam gasification in fluidized bed based on machine learning method
    Xue, Peixuan
    Chen, Tianlang
    Huang, Xiehan
    Hu, Qiang
    Hu, Junhao
    Zhang, Han
    Yang, Haiping
    Chen, Hanping
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 49 : 356 - 370
  • [25] Effect of drag models on CFD simulation of biomass gasification in a fluidized bed gasifier
    Ku, Xiaoke
    Proceedings of the Second Conference of Global Chinese Scholars on Hydrodynamics (CCSH'2016), Vols 1 & 2, 2016, : 517 - 521
  • [26] Steam gasification of polyethylene terephthalate (PET) with CaO in a bubbling fluidized bed gasifier for enriching H2 in syngas with Response Surface Methodology (RSM)
    Li, Shouzhuang
    Inayat, Muddasser
    Jarvinen, Mika
    APPLIED ENERGY, 2023, 348
  • [27] Three-dimensional CFD simulation of co-gasification of biomass and plastic wastes (SRF) in a bubbling fluidized bed with detailed kinetic chemical model
    Tokmurzin, Diyar
    Nguyen, Hoang Khoi
    Nam, Ji Young
    Park, Sung Jin
    Yoon, Sang Jun
    Mun, Tae-Young
    Yoon, Sung Min
    Lee, Jae Goo
    Lee, Dong Hyun
    Ra, Ho Won
    Seo, Myung Won
    ENERGY & ENVIRONMENT, 2025,
  • [28] Development of a comprehensive simulation model for H2-rich syngas production by air–steam gasification of biomass
    Leijie Fu
    Yan Cao
    Yu Bai
    Journal of Thermal Analysis and Calorimetry, 2022, 147 : 8069 - 8075
  • [29] CFD-DEM simulation of fluidized bed with an immersed tube using a coarse-grain model
    Zhou, Lianyong
    Zhao, Yongzhi
    CHEMICAL ENGINEERING SCIENCE, 2021, 231
  • [30] Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning
    Sezer, Senem
    Ozveren, Ugur
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (39) : 20377 - 20396