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Methusalem Advisory Board meeting, Ghent, 17 June 2011
First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation
Maarten K. Sabbe, Gonzalo Canduela, Marie-Françoise Reyniers, Guy B. Marin
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Introduction: benzene hydrogenation on Pt(111)
Regressions to experimental data suggest other dominant path (Thybaut): DPregressed
Experimental work: no consensus on the rate determining step
Entropy contributions difficult at cluster level: include using periodic calculations
Current status of computational models:
dominant path proposed based on Pt22 cluster calculations (DPcluster)
Electronic reaction barriersBP86/DZ on Pt22 cluster of Pt(111)Saeys.M J.Phys.Chem.B, 109,2064-2063 (2005)
Pt22 cluster
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Benzene hydrogenation:
applications in hydrotreating, hydrocracking, cyclohexane production
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Aim
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Pt(111)
Evaluate reaction barriers based on periodic calculations
Calculate entropy contibutions and rate coefficients
Perform reactor simulations and compare yields to experiment
Pt- and Pd-based catalyst design
evaluate stability and hydrogenation reactivity of Pt3M
alloys and surface alloys (M= Ag,Au,Cu,Fe,Co,Ni,Pd)
Pd: start design of Pd-based catalysts by developing
a first principles kinetic model on Pd(111)
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Computational approach
Methusalem Advisory Board meeting, Ghent, 17 June 2011
• 3 x 3 unit cell used to model the Pt(111) surface: 9 atoms/layer
• moderate lateral interactions: coverage degree ≈ 30%
Unit cellTop view
Unit cellSide views
Vacuum layer10.6 Å
Relax 2 upperlayersFix 2 bottomlayers
Lattice constant: 4.011Å
Artifical dipole layer
Periodicstructure
Surface withunit cell indicated
• PW91 functional (GGA) • plane waves; PAW; 400 eV; no spin polarization (for clean Pt)• 5 x 5 x 1 k-point Monkhorst-Pack grid• first order Methfessel-Paxton smearing, σ=0.20 eV• TS determination: NEB, followed by DIMER calculation
DFT (VASP)
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Part I: Hydrogenation of benzene on Pt(111): from
molecule to reactor
• Reaction network: electronic barriers
• Entropy contributions
• Rate coefficients
• Compare reactor simulations to experiment
Part II: Catalyst-descriptor based design of
hydrogenation catalysts
Outline
Methusalem Advisory Board meeting, Ghent, 17 June 2011
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Based on ΔEel: no clear dominant path
Pt(111) network: electronic reaction barriers
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Electronic energy barriers ΔEel
forward
reverse
DPcluster,135THB dominant path on Pt22 cluster levelMEPperiodical,123THB minimum energy path (periodical calculations)
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Entropy contributions are important for K and k
Methusalem Advisory Board meeting, Ghent, 17 June 2011
ji
ijqq
EH
2
)q()q(Hqq2
1
2
1 H3
2
2
Eqm
N
i ii
Immobile species: Harmonic frequency analysisvibrational Schrödinger equation
Kineticenergy
Potential energy requiresknowledge of Hessian H
Hessian qi= Δx, Δy, Δz aroundequilbrium geometry
N
iTk
h
B
iTBk
ih
B
i
e
eTk
hRS
3
1
HOrovib, 1ln
1
Vibrational contribution to entropy
Mobile species
free rotation and/or free translation Replace 2 ‘translational’ and 1 ‘rotational’ frequency
A: 10-19 m² for H*; 5 10-19 m² for hydrocarbon species identify mobility of surface species: calculate diffusion barriers
2
21),('ln transsurf transl, TAqRS
2
1)(ln ,Zrot, TqRS Zrot
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Entropy contributions: mobile mode identification
Methusalem Advisory Board meeting, Ghent, 17 June 2011
All species immobile at 450 K except H and cyclohexane
(barrier < 9 kJ/mol)
Species + motionΔE°
kJ/mol
Hydrogen (top to top) 9.2
Hydrogen (top to hollow) 11.6
Benzene (hollow to bridge-rotation) 21.1
135 THB (translation) 233.0
1235 THB (rotation) 99.8
Cyclohexyl (translation) 98.5
Cyclohexyl (rotation around C-Pt bond) 12.7
Cyclohexane (rotation) 5.9
0
2
4
6
8
10
E-Et
op
kJ/
mo
l
Translational Coordinate
H* top to top diffusion (NEB)
135-THB translation (diffusion barrier 233 kJ/mol)
Determine transition states for diffusion(NEB+dimer)
Initial state Final state
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no clear dominant path Evaluate full reaction network in simulation
Rate coefficients indicate dominant path
Methusalem Advisory Board meeting, Ghent, 17 June 2011
rate coefficients k (s-1)
forwardreverse
DPcluster dominant path at Pt22 cluster level
MEPperiodical minimum energy path (periodical calculations)
DPperiodical,k dominant path based on rate coefficients (periodical calculations)
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Experimental data: Berty set-up
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Berty-reactor: Gas phase CSTR(intrinsic kinetics)
Input variables (43 experiments)
Benzene Feed (mol s-1) 17 10-6 -57 10-6
T (K) 425-500
P(atm) 10-30
pH2/pB 5-11
Wcat (g) 1.29 -1.8
W/Fbenzene (kgcat s-1mol-1) 22-74
Catalyst: Pt/ZSM-22 (0.5 wt% Pt)Conversion: 9-85%
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Estimated parameters H2 adsorption enthalpy: strongly coverage
dependent Estimation of this parameter required
General reduction of activation energy:• calculated Ea larger than experiment • temperature dependence too strong
without reduction of Ea
Reactor simulation approach
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Simulations CSTR model Levenberg-Marquardt for parameter
estimation Goal function=Σ(simulated product yield-
exp.observed)2
K(T) and k(T) with mobile H* and cyclohexane*, other species are considered immobile
catalyst model: 0.008 active sites/kgcat
PSSA (reaching steady state usingtransient solver)
0
0 WRFFdt
dFiii
i
**
ii R
dt
dC
** R
dt
dC
Transient continuity equations:
Gas phase species:
Surface species:
Free sites:
Podkolzin et al., JPCB,105:8550 (2001)
Ea,i = Ea,i,AbInitio + ΔEa,parameter
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Full network: reactor simulation results
Methusalem Advisory Board meeting, Ghent, 17 June 2011
• K(T) and k(T) for mobile H* and cyclohexane* (other immobile) • surface coverage ≈ 1 => take ΔHads(benzene)= -66.1 kJ mol-1 (calculated value)
Estimating only ΔHH2: yields still too low• temperature dependence too strong
without reduction of Ea
• Estimate Ea reduction
0
10
20
30
40
50
0 10 20 30 40 50
Sim
ula
ted
pro
du
ct y
ield
(1
0-6
mo
l/s)
Experimental product yield (10-6 mol/s)
ΔHads,H2 -46.1 ± 2.2 kJ/mol
ΔEa -14.6 ± 2.7 kJ/mol
F 428
SimulationEstimate ΔHH2 and ΔEa
Ea,i = Ea,i,AbInitio + ΔEa,parameter
Cyclohexane yield parity plot
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Full network: reaction path analysis
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Electronic energy barriers ΔEel
forwardreverse
20 bar, 225 °C, 1.8 gcat, 0.13 mol/h benzene, (H2/B)in=5W/FB=48.4 kgcat s/mol
• Clear pathway for step 4, 5 and 6• In step 2 and 3 equilibration between intermediates
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Conclusions and prospects
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Conclusions• No clear dominant path based on electronic energies for full network• Activation energies need to be reduced in order to obtain quantitative
agreement to experimental values• With 2 parameters, a reasonable agreement to experimental yields is
obtained
Future work• Multiscale modeling: development of first-principles based kinetic
Monte Carlo simulation tools to assess the validity of the mean field approximation under industrially relevant operating conditions• Introduce method for clean Pt catalysis• If results differ significantly from mean-field results, apply on
bimetallic catalysts as well
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Part I: Hydrogenation of benzene on Pt(111): from
molecule to reactor
Part II: Catalyst-descriptor based design of
hydrogenation catalysts
• Pd catalysts
• Pt3M catalysts
• Conclusions & prospects
Outline
Methusalem Advisory Board meeting, Ghent, 17 June 2011
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→ similar MEP as for Pt(111)
Future work: entropy contributions, rate coefficients and multiscale
modeling of the reactor
Pd-catalyzed hydrogenation
Methusalem Advisory Board meeting, Ghent, 17 June 2011
First step in design of Pd-based catalysts: develop kinetic model on Pd(111) analogous to Pt(111)
PW91 PAW 400 eVbenzene at hollow site3x3 unit cell
Electronic energy barriers ΔEel
forward
reverse
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Pt3M catalysts: surface segregation
0segE
0segE
Au, Ag
Pd stays in place
Fe, Co, Ni, Cu
No segregation
Antisegregation
Segregation
Au/Pt
Ag/Pt
Most stable alloys studied
Pt/Pt3M/Pt surface alloys
Pt/PtM/Pt3M bulk alloys
M=Fe, Ni, Co and Cu
Pt3Ag/Pt
Pt3Au/Pt
Pt3Pd/Pt
Pt3Pd bulk alloy
∆Eseg large
Methusalem Advisory Board meeting, Ghent, 17 June 2011
∆Eantiseg large
surface alloy
Pt3M alloys (4x4 supercells)(M= Ag, Au, Cu, Fe, Co, Ni, Pd)→evaluate stability & reactivity
Pt3M
Bulk alloy
Pt3M/Pt
Surface alloy
∆Eseg = Eslab,seg–Eslab,non-seg
∆Eantiseg = Eslab,antiseg–Eslab,non-seg
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Pt2-bri30Pt2M-fcc0
Pt3-fcc0
PtM-bri30
Pt2M-hcp0Pt3-hcp0
bri-PtM30fcc-Pt2M
0
fcc-Pt30
bri-Pt230
hcp-M0 hcp-Pt0
Adsorption sites
Non-segregatedAntisegregated
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Top-Pt
Pt3-fcc
Top-M
Pt2M-hcp
Top-Pt1
Pt3-fcc
Top-Pt2
Pt3-hcp
Non-segregated
Anti-segregated
Hydrogen Benzene
1919
-140
-120
-100
-80
-60
-40
-20
0
20
40
Au Ag Fe Co Ni Cu Pd
Pt3M: Benzene adsorption energy
Adsorption Energy (kJ mol-1)
Bridge
Adsorption of benzene
Segregation No segregationAntisegregation
Bridge
Hollow hcp
Hollow hcp
Pt3M/PtSurface alloys
Pt3MBulk alloys
Pt(111) (bridge)-119 kJ/mol4x4 unit cell
60 to 90 kJ/mol weaker than Pt(111) bridge
Methusalem Advisory Board meeting, Ghent, 17 June 2011
up to 50 kJ/mol weaker
2020
-80
-60
-40
-20
0
20
40
60
Ag Au Cu Co Ni Fe Pd
Pt/PtM/Pt3M
Pt3M/Pt
Pt/PtM/Pt3M
Pt/Pt3M/Pt
Pt3M: Hydrogen adsorption energy
Adsorption Energy (kJ/mol) Adsorption of hydrogen0.5 H2 + * → H*
Top
Segregation No segregationAntisegregation
Pt3M/PtSurface alloys
Pt3MBulk alloys
up to 15 kJ/mol weaker
up to 30 kJ/mol weaker
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Top
Hollow fcc
Hollow fcc
Pt(111) fcc site-47kJ/mol
2x2 unit cell
2121
Pt3M: activation energies first step
SegregationNo segregationAntisegregation
Electronic barrier Eel = ETS + EPt - EBads - EHads
Pt+B+H TS BH
0
20
40
60
80
100
120
140
160
Co Ni Fe Cu Pd Au Ag
Methusalem Advisory Board meeting, Ghent, 17 June 2011
try to add correlation with Eads
Step 1
Pt3MBulk alloys
Electronic Barrier (kJ/mol)
Pt3M/PtSurface alloys 92 kJ/mol Pt(111)
Activation energies are lower on Pt3Co, Pt3Ni,
Pt3Fe, Pt3Cu and Pt3Fe/Pt than on pure Pt(111)
2222
Activation energies correlate well with Eads
0
30
60
90
120
150
-150 -100 -50 0
0
30
60
90
120
150
-60 -40 -20 0
Ea (kJ/mol)
Eads benzene (kJ/mol)
Ea (kJ/mol)
Electronic barriers are well correlated to the adsorption
energies of the reactants
Eads as descriptor of reactivity
Bulk Pt3M alloys
Surface Pt3M/Pt alloys
Pt (111)
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Eads hydrogen (kJ/mol)
Can activation energy however be directly linked to electronic
catalyst properties?
2323
d-band descriptors as catalyst descriptordensity of states projected on d-band of surface atoms of clean slab DOS-based descriptors
Efermi
center of occupied d-band
DOS at Fermi
Work function Ф=Ef–Evacuum
DOS-based descriptors
Work function
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Efermi
DOS at Fermid-band center
Density of states (eV-1)
Energy (E-Ef)
-140-120-100
-80-60-40-20
020
-2.80 -2.60 -2.40 -2.20
Ead
s (k
J/m
ol)
εd - Ef
Pt3Au/PtPt3Ag/Pt
40
60
80
100
120
140
-2.80 -2.60 -2.40 -2.20
Ea (
kJ/m
ol)
εd - Ef
Best correlation with occupied d-band center
Pt3Ag/Pt
Pt3Au/Pt
: bulk alloys: surface alloys
Pt
Pt
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Conclusions & prospects
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Benzene hydrogenation on Pt(111):
• Succesful reaction simulation using only 2 optimized parameters
Benzene hydrogenation on Pt3M bimetallic alloys
• Adsorption energies of benzene and hydrogen of the Pt3M alloys are, compared to pure Pt(111), weaker when alloying with Au, Ag, Fe, Co, Ni and Cu
• On the bulk alloys Pt3Co, Pt3Ni, Pt3Fe, Pt3Cu and the Pt3Fe/Pt surface alloy the activation energies are lower than on pure Pt(111)
• the d-band center correlates well with benzene adsorption energies and hydrogenation barriers for the studied alloys.
Prospects
• Development of first-principles based kinetic Monte Carlo simulation tools to assess the validity of the mean field approximation under industrially relevant operating conditions
• Further evaluate the d-band center as useful catalyst descriptors relating the variation in activity and selectivity in going from Pt(111) to other metal catalysts, and screen the d-band center of other promising alloys
• Definition of optimal catalyst properties: simultaneous optimization of catalyst properties, industrial process conditions and reactor configuration
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Acknowledgements
Methusalem Advisory Board meeting, Ghent, 17 June 2011
Lucía Laín AmadorJoris Thybaut
Fund for scientific research - FlandersLong Term Structural Methusalem Funding bythe Flemish Government – grant number BOF09/01M00409
Questions?
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Glossary
Methusalem Advisory Board meeting, Ghent, 17 June 2011
DFT: Density Functional TheoryDimer method: force-based transition state search algorithmGGA: generalized gradient approximation (within DFT theory)MEP: Minimum Energy PathNEB: Nudged Elastic Band method for the calculation of MEPsPAW: Plane Augmented Waves (periodic calculation technique)PW91: Perdew-Wang type of DFT functionalVASP: Vienna Ab initio Simulation Package