BUTANE ADSORPTION ON ACTIVATED CARBONFIBER COMPOSITES: MODELING AND SIMULATION' - PowerPoint PPT Presentation

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BUTANE ADSORPTION ON ACTIVATED CARBONFIBER COMPOSITES: MODELING AND SIMULATION'

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Title: BUTANE ADSORPTION ON ACTIVATED CARBONFIBER COMPOSITES: MODELING AND SIMULATION'


1
BUTANE ADSORPTION ON ACTIVATED CARBON-FIBER
COMPOSITES MODELING AND SIMULATION.
  • Rodney Andrews1,2, Marit Jagtoyen2, and
  • Eric Grulke1
  • 1Chemical and Materials Engineering, University
    of Kentucky
  • 177 Anderson Hall, Lexington, KY 40506-0046, USA
  • 2Center for Applied Energy Research , University
    of Kentucky
  • 2540 Research Park Drive, Lexington KY
    40511-8433, USA

2
Introduction
  • Air Quality Issues
  • Volatile organic compounds (VOCs) are precursors
    to the formation of ozone and smog detrimental to
    the environment and health
  • acute respiratory problems
  • decrease lung capacity
  • impair immune system
  • Amendments to the clean air act of 1990
  • reduction in emissions of 149 (VOCs)

3
Examples of Activated Carbons for VOC removal
  • flexographic printing acetates and alcohols
  • automotive paint booth process equipment
  • bakeries ethanol
  • styrene emissions 32 million lbs/year in 1990

4
VOC Removal Technologies
  • Adsorption
  • Thermal oxidation
  • -VOC ? H2O and CO2
  • -high energy consumption
  • -dilute air streams
  • Biofiltration
  • -low concentrations
  • -low operating costs
  • Combined Processes

5
Advantages of ACF for VOC Adsorption
  • Often very low concentrations of VOCs in large
    air volumes
  • short contact times (lt0.01 sec)
  • concentrations down to 10 ppm
  • requires deep beds of granular activated
    carbon (GAC)
  • high pressure drop
  • Rate of adsorption can be greatly increased
  • micron vs millimeter dimensions for fibers
  • Fourier Mass Transfer Time for 90 Change
  • 3 mm granule 0.032 sec
  • 25 mm fiber 0.000005 sec

6
Activated Carbon Fibers
  • As-produced Fibers
  • low bulk density
  • difficulties in handling and containment
  • Composites
  • novel monolithic form
  • design flexibility - produced to any size or
    shape
  • rigid, highly permeable, strong
  • open internal architecture

7
Carbon Fiber Composite
8
Objectives
  • Adsorption of butane on GAC and carbon
    fiber composite beds at low butane
    concentrations.
  • Apply Quasi-lognormal distribution (Q-LND)
    approximation to predict breakthrough curves
  • Compare model with data
  • -applicability and fit to data
  • -calculation intensity and stability
  • -implications

9
Experimental
  • Equal volume beds of activated carbon fiber
    composites and commercial GAC.
  • Butane 20 -100 ppm in dry nitrogen.
  • Carbon Properties and Experimental Parameters
  • Sample BET Mass of Density
    Contact time DP
  • s.a.(m2/g)
    carbon(g) (g/cc) (s-1) (psi)
  • GAC(F-400) 1014 46 0.48
    0.082 1.01
  • Composite 789 14 0.15
    0.081 0.59
  • Contact time (bed vol/flow vol/sec)

10
Schematic of Flow System
11
Pressure Drop Requirements
12
Efficiency of Butane Removal
  • Rate of removal of butane at breakthrough
  • per mass (g/hr/g)
  • Concentration(ppm) Composite GAC
    Ratio
  • 20 0.013 0.0039 3.33
  • 50 0.034 0.0093 3.66
  • 100 0.059 0.015 3.93
  • Mass Transfer Coefficients from Sherwood
    correlation
  • Composite kc 1.38 m/s
  • GAC kc 0.85 m/s

13
Quasi-lognormal Distribution Approximation
  • Developed by Xiu et al
  • AIChE Journal, 43(4), 979, 1997.
  • Modeling fixed-bed adsorbers with
  • fixed-bed adsorbers
  • axial dispersion
  • external film diffusion
  • intraparticle diffusion
  • Adjustable for varying particle geometry

14
Q-LND Approximation
  • column operates isothermally
  • Ficks Law of Diffusion
  • axial dispersion
  • intra-particle transport
  • linear adsorption isotherm
  • axial fluid velocity is constant

15
Modeling Experimental Data
  • Step feed input
  • moments of the impulse response
  • quasi-lognormal probability density function
  • Dimensionless forms
  • Peclet number
  • Biot number
  • distribution ratio
  • single, concentration dependent, fitting parameter

16
Breakthrough Profile for Butane on GAC Bed
Data ? 100 ppm, 50 ppm, x 20 ppm. Model
Continuous curves.
17
Breakthrough Profile for Butane on Composite Bed
Data ? 100 ppm, 50 ppm, x 20 ppm. Model
Continuous curves.
18
Applicability and Fit to Data
  • Fit data well over concentrations studied
  • distribution ratio was single fitting parameter
  • Calculated mass transfer coefficients
  • 0.3 m/s
  • 1.55 m/s
  • good comparison with Sherwood number
  • Assumptions in model appear valid
  • Peclet and Biot numbers within range of those for
    similar systems found in literature

19
Calculation Intensity and Stability
  • Computationally simple
  • solved in Mathcad desktop package
  • Converges rapidly to solution
  • Easily tuned for changes in system
  • adsorbent particle shape
  • adsorber bed parameters
  • Solution convergence is stable

20
Implications for Scale-Up
  • Applicability criterion
  • HD is combined particle mass-transfer coefficient
  • ? is bed-length parameter
  • ? is distribution ratio
  • p is particle shape factor
  • May extend range of inequality
  • fit to experimental data outside this range

21
Conclusions
  • Q-LND Approximation predicts breakthrough
    profiles for butane on GAC and ACFC
  • Model is applicable at low butane concentrations
  • Computation
  • rapid convergence
  • simple (off the shelf solution)
  • easily tunable
  • Allows for rapid simulation of novel systems

22
Future Work
  • Alternative bed configurations
  • candle filters
  • large diameter fibers
  • Heat Transfer and Desorption
  • electrical heating
  • Alternative feed conditions
  • multiple beds
  • ramped feed

23
Acknowledgments
  • This work was sponsored by CAER, University of
    Kentucky.
  • The authors would like to acknowledge
  • Danny Turner and Rodney Johnson for help with
  • experimental work.
  • Kathie Sauer for help with graphics.
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