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S&C Thermofluids Ltd
CFD modelling of adsorption in carbon filters
E Neininger*, MW Smith** & K Taylor*
* S&C Thermofluids Ltd
** Dstl, Porton Down
Overview
• Background to filter model development• Physics of adsorption modelling• Validation• Implementation in PHOENICS• Future developments
Typical filter application
Air Flow
Impregnated granularactivated carbon
Glass FibreFilter
Canister filter for respirator
Modelling Requirements
• Pressure drop
• Contaminant breakthrough time
Other filter geometries
Small scale filter test bed
- 2 cm diameter carbon bed
Carbon monolith filter - Courtesy of MAST
Flow through filter bed
Flow through packed bed
• Pressure drop- local voidage distribution coupled to Ergun equation for pressure loss through bed:
p/L = 5 So2(1-)2U/3 + 0.29 So(1-)U2/3
viscous loss turbulent loss
- earlier work using this equation given good agreement with experimental data for pressure drop.
• Voidage distribution- Mueller model good for uniform spherical particles- uniform voidage gives better comparison with measured breakthrough times for granular carbon
Adsorption rate• Two scalar equations solved
- one for transport of contaminant vapour- one for rate of ‘uptake’ of adsorbed phase
• A linear driving force approach is used for the adsorption rate, whereby this is proportional to the amount of remaining capacity
-C/t = 1/ So km (C - Ci)
• Equilibrium uptake determined by adsorption isotherm = f(C,T)
Adsorption isotherm
• Pentane adsorption isotherm on BPL carbon at 295K
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.00.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
p/p0
Up
take
(g
/g)
X – experimental data
__ - Dual Dubinin-Astakhov equation
Validation
Breakthrough of pentane (3lpm flow, 295K, various bed depths)
Validation
Breakthrough of pentane (3lpm flow, 1cm bed depth, 295K)
Saturation of filter bed
Variable inlet concentration
Outflow concentration from pulsed inflow
With no filter
0.5cm filter – experimental
1cm filter – experimental
0.5 filter – CFD
1cm filter - CFD
Pentane concentration at outlet
0
500
1000
1500
2000
2500
3000
3500
4000
4500
0.00 20.00 40.00 60.00 80.00 100.00 120.00 140.00
Time (mins)
Co
nc
entr
ati
on
(m
g/m
3)
dry air inlet RH 80% bed + inlet RH 80%
Adsorption in wet air
-C/t = 1/ So km (C - Ci)
but Ci for pentane limited so that
uptake </= total pore volume - water uptake
Water on Carbon Adsorption Isotherm
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
p/p0
Up
take
(g
/g)
DDA
Implementation in PHOENICS
• Pre-processor• User interface allows rapid input of geometry and
property data• Writes Q1 file and runs FEMGEN to create mesh
• Run steady-state to establish flowfield then transient to model adsorption
• Run full transient if inlet flowrate varies with time
Implementation in PHOENICS
• Pre-processor• User interface allows rapid input of geometry and
property data• Writes Q1 file and runs FEMGEN to create mesh
• Run steady-state to establish flowfield then transient to model adsorption
• Run full transient if inlet flowrate varies with time
Implementation in PHOENICS
• Pre-processor• User interface allows rapid input of geometry and
property data• Writes Q1 file and runs FEMGEN to create mesh
• Run steady-state to establish flowfield then transient to model adsorption
• Run full transient if inlet flowrate varies with time
Implementation in PHOENICS
• Customised GROUND Coding• Pressure drop and adsorption source terms • Outlet contaminant concentration can be
monitored as run progresses
• Modelling issues• Cell blockages
Monolith filter model
• Activated carbon monolith
• Low pressure drop
• Single channel model• detailed model of one
flow path
• contaminant diffuses into porous monolith
• can model several monoliths in series
Monolith – vapour concentration
Hexane breakthrough
0
1000
2000
3000
4000
5000
6000
0 20 40 60 80 100 120
Time (min)
Co
nce
ntr
atio
n (m
g/m
3)
vapour concentration after 6 mins
outlet vapour concentration vs time
Future development of model
• Multiple adsorbents• Non-linear driving force for adsorption• Property database/GUI• Heat of adsorption source terms• Improved solver speed
- optimisation of GROUND coding
- parallel processing
Conclusions
• Requirement for CFD modelling of filters• CFD model of adsorption process
developed• Validation of packed bed model
promising• Monolith model requires validation• Customised user interface• Ongoing developments