Prediction of product distribution in fine biomass pyrolysis in fluidized beds based on proximate analysis

被引:19
|
作者
Kim, Sung Won [1 ]
机构
[1] SK Innovat, Global Technol, Taejon 305712, South Korea
关键词
Biomass pyrolysis; Fluidized bed; Prediction; Product distribution; Proximate analysis; BIO-OIL PRODUCTION; OPERATING PARAMETERS; QUALITY; YIELDS; REACTORS; SYSTEM; WASTE; SIZE;
D O I
10.1016/j.biortech.2014.10.107
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A predictive model was satisfactorily developed to describe the general trends of product distribution in fluidized beds of lignocellulosic biomass pyrolysis. The model was made of mass balance based on proximate analysis and an empirical relationship with operating parameters including fluidization hydrodynamics. The empirical relationships between product yields and fluidization conditions in fluidized bed pyrolyzers were derived from the data of this study and literature. The gas and char yields showed strong functions of temperature and vapor residence time in the pyrolyzer. The yields showed a good correlation with fluidization variables related with hydrodynamics and bed mixing. The predicted product yields based on the model well accorded well with the experimental data. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:275 / 283
页数:9
相关论文
共 50 条
  • [41] Impact of acid washing and torrefaction on biomass pyrolysis characteristics and product distribution
    Tian, Hong
    Zhang, Xiaodie
    Gao, Xiong
    Zhou, Zhen
    Cheng, Shan
    Sun, Chenyang
    BIOMASS & BIOENERGY, 2024, 191
  • [42] Product distribution and interaction of co-pyrolysis of biomass and oil slurry
    Huang W.
    Hao Z.
    Zhang Q.
    Gao Z.
    Zhang H.
    Peng Z.
    Yang K.
    Liang L.
    Meitan Xuebao/Journal of the China Coal Society, 2022, 47 (01): : 480 - 488
  • [43] A thermogravimetric model to predict yield product distribution in pyrolysis of agricultural biomass
    Ioannidou, O.
    Jung, C. G.
    Zabaniotou, A.
    CATALYSIS TODAY, 2011, 167 (01) : 129 - 134
  • [44] Product distribution from solar pyrolysis of agricultural and forestry biomass residues
    Li, Rui
    Zeng, Kuo
    Soria, Jose
    Mazza, German
    Gauthier, Daniel
    Rodriguez, Rosa
    Flamant, Gilles
    RENEWABLE ENERGY, 2016, 89 : 27 - 35
  • [45] Prediction of quality parameters of biomass pellets from proximate and ultimate analysis
    Gillespie, Gary D.
    Everard, Colm D.
    Fagan, Colette C.
    McDonnell, Kevin P.
    FUEL, 2013, 111 : 771 - 777
  • [46] Prediction of lignocellulosic biomass structural components from ultimate/proximate analysis
    Nimmanterdwong, Prathana
    Chalermsinsuwan, Benjapon
    Piumsomboon, Pornpote
    ENERGY, 2021, 222
  • [47] AN INVESTIGATION OF THE FACTORS CONTROLLING THE PYROLYSIS PRODUCT YIELD OF GREEK WOOD BIOMASS IN A FLUIDIZED-BED
    SAMOLADA, MC
    STOICOS, T
    VASALOS, IA
    JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 1990, 18 (02) : 127 - 141
  • [48] Isothermal Pyrolysis of Bamboo and Pinewood Biomass: Product Characterization and Comparative Study in a Fluidized Bed Reactor
    Shezi, Manqoba
    Kiambi, Sammy Lewis
    BIOENGINEERING-BASEL, 2025, 12 (02):
  • [49] Development of a Biomass Component Prediction Model Based on Elemental and Proximate Analyses
    Park, Sun Yong
    Oh, Kwang Cheol
    Kim, Seok Jun
    Cho, La Hoon
    Jeon, Young Kwang
    Kim, DaeHyun
    ENERGIES, 2023, 16 (14)
  • [50] Modeling hydrodynamic and biomass pyrolysis effects of recycled product gases in a bubbling fluidized bed reactor
    Wiggins, Gavin M.
    Oyedeji, Oluwafemi A.
    Mills, Zachary G.
    BIOMASS & BIOENERGY, 2024, 184