microreaction€engineering:...
TRANSCRIPT
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Microreaction Engineering:Is small really better?
Jan J. Lerou
Velocys, Inc., Plain City OH www.velocys.com
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Overview
Background
Fundamentals
Reaction Applications
Scaleup Methodology
Summary
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BackgroundHistory
•In public domain since 1995
Definition of microstructured reactors•3dimensional structures from submm to mm range•Main characteristic:
specific surface 10,000 –50,000 m2/m3
Potential benefits•Process intensification•Inherent process safety•Broader reaction conditions incl. explosion regimes•Distributed production•Faster development
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Background (cont.)
Companies currently moving microchanneltechnology from R&D to commercialization:
•Degussa: running a demonstration project for theevaluation of microreaction technology or DEMiSTM forpropylene epoxidation with hydrogen peroxide
•Clariant: opened its Competence Centre for MicroreactorTechnology (C3MRT) to increase efficiency, improvesafety and reduce the costs of pharmaceutical synthesis Continuous pilot plan for the synthesis of azopigments
•Axiva developed a process for continuous polymerizationof acrylates (8 kg/h) using micro mixers
•Velocys…
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~ 0.11 mm
Microchannels enablecompact unit operations
with high capacity perunit volume by reducing
transport distances
~ 10100 mm
Conventional
Characteristicdimension
Enabling Technology
Microchannel
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Conventional Technology
Conventional Reactors§ Steam Methane
Reformer
§ 20 millionstandard cubicfeet/day
§ ~30m x ~30m x~30m
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Velocys® Technology Reactors
q MicrochannelSteam MethaneReformer
q Same capacity
q 90% volumereduction
q ~25% reductionin overall plantcosts
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Microchannel Hardware Performance
< 1 W/cm21250 W/cm2Boiling
< 1 W/cm2120 W/cm2ConvectiveConventionalMicrochannel
Intense Heat Transfer Increases Productivity
Fast Reactions Shrink Hardware Volume
110 seconds1100 msGasphaseConventionalMicrochannel
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dkNuh ×
=Nu: Nusselt numberh: Heat transfer coefficientd: Hydraulic diameterk: Thermal conductivity
Velocys Heat Exchanger Conventional Heat Exchanger
High surface area/volume ratioHigh heat transfer per volume
Low surface area/volume ratio
Low heat transfer per volume
Heat Transfer in Microchannels
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inlet outlet
Diffusion across laminar streamlines (100<Re<2000)
Mass Transfer in Microchannels
avgconvection vel
L=τ : Characteristic convection time
L: Flow lengthvel: average laminar velocity
Sh: Sherwood numberkA: Mass transfer coefficientd: Hydraulic diameterD: Diffusivityd
DShkA×
=: Characteristic diffusion time
d: Hydraulic diameterD: DiffusivityD
ddiff
2)2(=τ
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Mass Transfer in Microchannels
Velocys technology enhances bothintraparticle and interparticle
mass transfer
Velocys technology enhances bothintraparticle and interparticle
mass transfer
~ 0.002 cm ~ 0.22 cm
vs.Velocys Conventional
~ 0.02 cm ~ 0.2 cm
flow
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Low pressure drop
Laminar flow in microchannels•Orderly flow –less fluctuations
•Laminar Flow
Turbulent Flow
flowh VDfLP µ)(=
∆
Turbulent flow• Random flow –more fluctuations
•75.175.025.0)( VDf
LP
h ρµ=∆
flow
(Blasius friction factor)
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0
0.5
1
1.5
2
0 10 20 30 40 50Flow (SLPM)
Pres
sure
Dro
p (p
si)
Experimental DPPredicted DP
Pressure Drop Case Study
48 channel deviceN2, ambientFlowtot = 40 SLPM40”x 0.035”x 0.160”Velocity = 4.2 m/sRe = 391DP = 1.47 psig (model)
DP = 1.51 psig(experimental)
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Design for Reaction Applications
Design for Constraints•Pressure Drop•Temperature / Materials
Tailor Catalyst Form•Match kinetics, heat removal, and pressure drop
Select Thermal Management Method•Convective heat transfer•Phase change•Chemical reaction
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Conventional Catalyst TechnologyPowders for stirred tank or fluidized bed applications
Extrudates for fixedbed applications
Monoliths for gas purification applications
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Catalysts for Microchannel Reactors
Porous Metallic Felts
~0.050.1 cm
Microchannel Walls
Metallic Foams
Metallic Foils
Metallic Fins
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Catalyst Selection Strategy forMicrochannel Reactors
kineticsslow fast
Pressure drop and dT allowable
high
low Wall coatWall coatFin coatFin coat
Flowbyengineeredstructures
Flowbyengineeredstructures
Flowthroughengineeredstructures
Flowthroughengineeredstructures
PackedchannelsPackedchannels
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Endothermic Reaction Examples:Tailor flux and thermal profile
airfuel
reactantexhaustproduct
• Add heat by adjacent exothermic reaction• Add heat by convective heat transfer• Add heat by phase change
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Thermal Performance:Endothermic Steam Reforming
SMR Response
0.0 0.2 0.4 0.6 0.8 1.0
Normalized Distance
Com
bust
ion
Wal
l Axi
al H
eat
Flux
(W/c
m^2
)
SMR
Axi
al G
as T
empe
ratu
re (C
)
Legend: Temperature Heat Flux
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High Heat Transfer to AchieveTemperature Uniformity
Temperature profile downtypical FischerTropsch fixed
bed reactor∆ T 25 C
Temperature profile downfixed bed FischerTropsch
microchannel∆ T 2 C
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Velocys Technology Applications
Reactions
Methane Reforming FischerTropsch
Oxidation Methanol
Dehydrogenation ReactiveDistillation
Separations
Thermal swing adsorption Distillation
Mixing
Emulsions
Heat Exchange
Compact Heat Exchangers LNG
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Scaleup
q Manufacturable and Cost Effective Design
q Sufficient Flow Distribution
q Robust Operation
q Integration with Commercial Plants
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Velocys Scaleup Methodology
FullscaleReactor
CELL
Cell•Internal channel dimensions same as
commercial chemical processor•Number of channels increase;
size of channels does not
MultiCell•Many channels•10100 lb/hr
FullScale•>1000 channels•10005000 lb/hr
FullScale Reactor is the basicbuilding block of a commercialplant
Gas flow
MULTI
CELL
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Commercial Microchannel Reactor:Summary for Hydrogen Generation
Productivity•1MM SCFD H2 per reactor
Size•~0.6 m x 0.8 m x 0.6 m•2 tons•>5000 channels
Streams•Air ~70 ºC•Fuel ~70 ºC•Reactant ~200 ºC•Product ~300 ºC•Exhaust ~300 ºC
Emissions•NOx < 10 ppm•Meets California regulations Eighthscale DeviceEighthscale Device
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Stacking
DiffusionBonding Machining
Shim
Manufacturable Design:Metal thinness creates microchannel dimension
Bonding creates hermetically sealed microchannelsBonding creates hermetically sealed microchannels
Featurecreation
Wall shim without features
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Device Manufacturing
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Diffusion Bonding Large Stacks
Protocol
•Time
•Temperature
•Pressure
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Scaleup Considerations
q Manufacturable and Cost Effective Design
q Sufficient Flow Distribution
q Robust Operation
q Integration with Commercial Plants
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Tailor Pressure Drop in Flow CircuitsTo achieve sufficient flow distribution
Inlet
1 2 3
max min1
max
100%m mQm
−= ×
2 3
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Flow Distribution Validation
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Channel Flow Distribution
Sufficient flow distribution measured in test deviceSufficient flow distribution measured in test device
Run 16: 214.0 SLPM of air
0.0E+00
1.0E05
2.0E05
3.0E05
4.0E05
5.0E05
6.0E05
7.0E05
8.0E05
9.0E05
1.0E04
0 12 24 36 48 60 72
Channel number
Mas
s flo
w ra
te (k
g/s)
Model
Experiment
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Manifold Model vs. Experiment dP
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
0 50 100 150 200 250 300Total air flow rate (SLPM)
Inle
t pre
ssur
e (p
sig)
Model
Experimental average
Predicted manifold pressure drop matches experimentsPredicted manifold pressure drop matches experiments
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Scaleup Considerations
q Manufacturable and Cost Effective Design
q Sufficient Flow Distribution
q Robust Operation
q Integration with Commercial Plants
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Robust Performance to UpsetsRecovery after combustion lost and catalyst in situ refurbishment
Conditions:3:1 S:C23 atm6 ms CT9000 scfd H2
Reactor performance
20%
0%
20%
40%
60%
80%
100%
0 10 20 30 40 50
Time on stream since refurbishment (hr)0
2
4
6
8
10
12
CH4 conversion (%)
Select ivit y t o CO (%)
SMR C balance (% change)
840 °C equilibrium conversion
830 °C equilibrium conversion
upset
SMR dP (psid, r ight axis)
upse t l ost c ombust i on
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Scaleup Considerations
q Manufacturable and Cost Effective Design
q Sufficient Flow Distribution
q Robust Operation
q Integration with Commercial Plants
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Microchannel Reactor Plant Interface
Lowcost standardized reactor assemblies:•5 to 30 fullscale reactors in each assembly•Shopbuilt fabrication reduces
construction costs and time•Minimizes utility runs to cut
installation costs•Modular for additions
of incremental capacity.
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Summary
Microchannel technology’s advantages•Tailored thermal profiles•Optimized catalyst performance and form•Enhanced selectivity•Higher productivity•Operation near stoichiometric feed ratio
Model driven design and optimization process
Scaleup principles modeled and validated
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Contact Information
Dr. Jan J. LerouManager, Experimental OperationsVelocys Inc.7950 Corporate Blvd.Plain City, OH 43064Phone: (614) 7333300Email: [email protected]
www.velocys.com