F. H. Ribeiro, J. M. Caruthers, W. N. Delgass, K. T. Thomson, V. Venkatasubramanian Dept. of...

27
F. H. Ribeiro, J. M. Caruthers, W. N. Delgass, K. T. Thomson, V. Venkatasubramanian Dept. of Chemical Engineering, Purdue University NSF Workshop, Washington, April 19-21, 2004 Constructing a Kinetics Database in Heterogeneous Catalysis

Transcript of F. H. Ribeiro, J. M. Caruthers, W. N. Delgass, K. T. Thomson, V. Venkatasubramanian Dept. of...

F. H. Ribeiro, J. M. Caruthers, W. N. Delgass, K. T. Thomson, V. Venkatasubramanian

Dept. of Chemical Engineering, Purdue University

NSF Workshop, Washington, April 19-21, 2004

Constructing a Kinetics Database in Heterogeneous Catalysis

Outline

• Analogy with homogeneous reactions

• Definitions and concepts in heterogeneous catalysis

• Challenges in setting a data base

• Suggestions

Catalysis is a kinetic phenomenon

How to study kinetics?H2 + Br2 2 HBr

Method of study:1-Determine the rate equation experimentally

}

][{1

2

2/122

Br

HBrbBrHa

r

(1907)

2-Propose reaction steps

(1) Br2 2 Br(2) Br + H2 = HBr + H(3) H + Br2 HBr + Br(-1) 2Br Br2

Same general principle applied to Langmuir-Hinshelwood kinetics

3-Use QSSA. Derive rate equation from step 2 compare with 1

a = k2(k1/k-1)1/2, b = k-2/k3

1

2

3

2

o 1

k 62 1

k 32 2

k 102 3

k2

At 251.4 C

Br 2Br k 1.51x10 L/mol/s

Br+H HBr H k 2.12x10 L/mol/s

H+Br HBr Br k 5.08x10 L/mol/s

H+HBr H

1

9-2

k 9 2 22 -1

Br k 6.04x10 L/mol/s

2Br Br k 3.69x10 L / mol / s

1Campbell and Fristrom, Chem. Rev., 58, 173 (1958)

Rate constants from NIST database 17

0 50 100 150 200 250 300

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

HB

r P

rodu

ctio

n R

ate/

10-5m

ol L

-1 s

-1

Time/min

Numerical Solution QSSA Rate

Numerical solution is easy to implement, provides perfect fitting

Reaction rate simulation

Kinetic modeling

• Can calculate rates, coverages, selectivities at any condition, even if the rds changes

• There is no equation

But it needs the rate constants!

Help needed from Surface science

Theoretical methods

The key tool for analysis: TURNOVER RATES

TOR = (Number of molecules reacted)

(Number of sites) x (time)

Allows for comparison of data in different catalysts in different laboratories

Turnover frequency Turnover rate

Problems with defining a site*

• What is a site?

• How do we count them?

• If they are not the same, what is the value of reporting a TOR (Langmuirian kinetics)?

• Need to be reported under reaction conditions.

*Boudart, M. Turnover Rates in Heterogeneous Catalysis. Chem. Rev. (1995), 95(3), 661-6.

Reasons for using a TOR

• A method to compare catalyst performance, including the ones from different laboratories

• Study the influence of the arrangement of atoms on rates (structure sensitivity)

• It is a method to quantify heterogeneous catalysis (not perfect)

Issues on developing a database in heterogeneous catalysis

Reaction mechanism changes with nature of surface

Variation of rates on ammonia synthesis

Ozaki, A. and K. Aika, Catalytic Activation of Dinitrogen, in Catalysis: Science and Technology, J.R. Anderson and M. Boudart, Editors. 1981, Springer Verlag: New York. p. 87-158.

d-band occupancy/ %

NH

3 ac

tivi

ty/

arb

itra

ry u

nit

s

Issues on developing a database in heterogeneous catalysis

Reaction mechanism changes with nature of surface

– Not only with the nature of metal but also surface arrangement

The rate is dependent on

surface structure

0

2

4

6

8

10

12

14

16

111 211 100 210 110

Surface Orientation

mo

les

NH

3/c

m2-s

ec

x 1

0-9

T = 673 K20 atm 3:1 H2:N2

0

2

4

6

8

10

12

14

16

111 211 100 210 110

Surface Orientation

mo

les

NH

3/c

m2-s

ec

x 1

0-9

T = 673 K20 atm 3:1 H2:N2

0

2

4

6

8

10

12

14

16

111 211 100 210 110

Surface Orientation

mo

les

NH

3/c

m2-s

ec

x 1

0-9

T = 673 K20 atm 3:1 H2:N2

Strongin, D.R., Carrazza, J., Bare, S.R., Somorjai, G.A., J. Catal. 103, 213 (1987).

Profile view images of Rh/SiO2. Particles are nearly cubo octahedral and exhibit (111) and (100) facets (from A. K. Datye U. New Mexico )

(111)

(100)

SiO2 support

Rh2 nm

Practical catalysts are composed of nanometer size particles

Issues on developing a database in heterogeneous catalysis

Reaction mechanism changes with surface nature

– Not only with the nature of metal but surface arrangement – Rate constants are a function of coverage

Rate constant value depends on coverage

Heat of adsorption of CO on Pt(111)

Yeo, Y.Y. , Vattuone, L. and King, D.A., J. Chem. Phys. 106 (1), 392, 1997

Issues on developing a database in heterogeneous catalysis

Reaction mechanism changes with surface nature

– Not only with the nature of metal but surface arrangement– Rate constants are a function of coverage

The situation is not hopeless

Surfaces are non-uniform but in practice surface coverage varies in a limited range. What is needed?

•In many examples a simple power rate law

•In more involved cases, a full kinetic analysis

•In rare cases, Monte Carlo analysis

What to do for a tabulation?

1.Tabulate turnover rates and reaction orders

Useful and easy to use

Problems:• Limited approach. Would have to tabulate reactions at all conditions• Data scatter

Ethylene Hydrogenation

Ribeiro et al. , Catal. Rev. - Sci. Eng.,39, 49-76, 1997

Some Problems with TOR Measurements on Metals

Turnover rate for the hydrogenolysis of ethane on Pt at 473 K

"Reproducibility of Turnover Rates in Heterogeneous Metal Catalysis: Compilation of Data and Guidelines for Data Analysis" F.H. Ribeiro, A.E. Schach von Wittenau, C.H. Bartholomew, and G.A. Somorjai, Catal. Reviews - Sci. and Eng. , 39, 49, 1997

The data are scattered!

2. Tabulate rate constants

Compact and thus can solve more problems

Problems:

Availability of data

Kinetic analysis suite not available

What to do for a tabulation?

What to do for a tabulation?

3. Compute the rate constants

Tabulate the rates constants and also the output from the ab initio calculations

How to store the data?

O

MO

CH3

R1

R2

R3

R2

R1

CH2

CH2

Chemical Structure

Molecular Conformation

HOMO

LUMO

Quantum Chemistry

Descriptor

Property DeterminationFrom Data

Kinetic Data

• • •

A

B

C

time

time

time

{ ki }

{ D }

Attributes

• • • A + B C

ReactionNetwork

• • •

C + D EB + E F

Catalyst Chemistry Model

Recommendations

• Make available to the community a robust software that will allow for kinetic modeling with rate constants

• Encourage the archival on a national database of:– Turnover rates– Rate constants experimentally determined– Rate constant calculations and wave

functions

Acknowledgments• Department of Energy

Office of Science