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Thursday, 29 December 2016

Biomass drying in a pulsed fluidized bed without inert bed particles

Published Date
Fuel
15 December 2016, Vol.186:270–284, doi:10.1016/j.fuel.2016.08.100
Full Length Article

  • Author 
  • Dening Jia a
  • Xiaotao Bi a,,
  • C. Jim Lim a
  • Shahab Sokhansanj a,b
  • Atsushi Tsutsumi c
  • aDepartment of Chemical and Biological Engineering, The University of British Columbia, 2360 East Mall, Vancouver, BC V6T 1Z3, Canada
  • bEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  • cCollaborative Research Center for Energy Engineering, Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
Received 17 June 2016. Revised 17 August 2016. Accepted 23 August 2016. Available online 29 August 2016. 

Highlights

  • •
    Fluidization of biomass without bed material is achieved with pulsed gas flow.
  • •
    Reducing opening time in a pulsation cycle benefits fluidization of wet particles.
  • •
    The addition of fines improves heat and mass transfer.
  • •
    Two-phase model can reasonably predict fluidized bed drying.
  • •
    Mass transfer rate at different frequencies is reflected by effective diffusivity.
Abstract

Batch drying was performed in the pulsed fluidized bed with various species of biomass particles as an indicator of gas–solid contact efficiency and mass transfer rate under different operating conditions including pulsation duty cycle and particle size distribution. The fluidization of cohesive biomass particles benefited from the shorter opening time of pulsed gas flow and increased peak pressure drop. The presence of fines enhanced gas–solid contact of large and irregular biomass particles, as well as the mass transfer efficiency. A drying model based on two-phase theory was proposed, from which effective diffusivity was calculated for various gas flow rates, temperature and pulsation frequency. Intricate relationship was discovered between pulsation frequency and effective diffusivity, as mass transfer was deeply connected with the hydrodynamics. Effective diffusivity was also found to be proportional to gas flow rate and drying temperature. Operating near the natural frequency of the system also favored drying and mass transfer.

Keywords

  • Fluidized bed
  • Pulsation
  • Modeling
  • Drying
  • Mass transfer
  • Biomass

  • Nomenclature

    A
    cross-sectional area of the fluidized bed column, m2
    A′
    interfacial area of particle per unit volume of dense phase, m2/m3
    db
    bubble diameter, m
    db0
    initial bubble diameter at multi-orifice distributor plate, m
    dbm
    maximum attainable bubble diameter, m
    dp
    particle diameter, m
    Deff
    effective diffusivity, m2/s
    D0
    pre-exponential factor in Arrhenius equation, m2/s
    Dt
    hydraulic diameter of the column, m
    Dv
    molecular diffusivity of water vapor in air, m2/s
    Ea
    activation energy, kJ/mol
    Gb
    gas flow rate in bubble phase per unit volume of bed, m3/(m3 s)
    Gd
    gas flow rate in dense phase per unit volume of bed, m3/(m3 s)
    f
    pulsation frequency, Hz
    Kc
    mass transfer coefficient across bubble boundary, m/s
    Ki
    particle surface mass transfer coefficient, m/s
    mwet
    water content in wet biomass samples, g
    mdry
    water content in dried biomass samples, g
    M
    mass flow rate of drying air, g/s
    Nor
    number of orifices in distributor
    p
    water vapor pressure, Pa
    ps
    saturated water vapor pressure, Pa
    r
    radial distance, m
    R
    universal gas constant, J/(kg K)
    Remf
    Reynolds number at minimum fluidization, ρgdpUmf/μg
    Rp
    radius of particle, m
    Sc
    Schmidt number, μg/ρgDv
    t
    time, s
    T
    temperature, K
    U
    superficial gas velocity, m/s
    average gas velocity, m/s
    Ub
    bubble rise velocity, m/s
    Umf
    minimum fluidization velocity, m/s
    w
    weight of the sample, g
    W
    drying rate, g/s
    X
    moisture distribution within a biomass particle, dry basis
    Xe
    equilibrium moisture content of biomass samples, dry basis
    XExp
    experimentally obtained moisture content of biomass samples, dry basis
    Xo
    initial moisture content of biomass samples, dry basis
    average moisture content of the biomass particles at a given time, dry basis
    Yb
    absolute humidity in the bubble phase, kg-water/kg-air
    Yd
    absolute humidity in the dense phase interstitial gas, kg-water/kg-air
    Yi
    absolute humidity of the inlet gas, kg-water/kg-air
    Yo
    absolute humidity of the exit gas, kg-water/kg-air
    Yp
    absolute humidity at particle surface, kg-water/kg-air
    z
    height above gas distributor, m

    Greek letters

    εb
    bubble volume fraction
    εmf
    bed voidage at minimum fluidization
    μg
    gas viscosity, kg/(m s)
    η
    amount of water removed
    ν
    simplified term, K−1
    ρp
    particle density, kg/m3
    ρg
    air density, kg/m3
    τ
    period of the pulsation, ms
    φ
    mole fraction of non-diffusing component
    Φ
    moisture ratio
    χ2
    reduced Chi square
    ω
    mass rate of evaporation of water per unit volume of bed, kg/(m3 s)
    Fig. 1.
     Table 1
    Table 1.
    Fig. 2.
     Table 2
    Table 2.
    Fig. 3.
    Fig. 4.
     Table 3
    Table 3.
    Fig. 5.
     Table 4
    Table 4.
    Fig. 6.
     Table 5
    Table 5.
    Fig. 7.
     Table 6
    Table 6.
    Fig. 8.
    Fig. 9.
    Fig. 10.
    Fig. 11.
     Table 7
    Table 7.
    Fig. 12.
    Fig. 13.
    Fig. 14.
    • ⁎ 
      Corresponding author.


    For further details log on website :
    http://www.sciencedirect.com/science/article/pii/S0016236116308390
    at December 29, 2016
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