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![Page 1: Microkinetic Modeling Cornelia Breitkopf Technische Universität München Institut für Technische Chemie Berlin, January 8, 2010 Modern Methods in Heterogeneous.](https://reader035.fdocuments.us/reader035/viewer/2022062219/5517c4be550346892b8b4b0d/html5/thumbnails/1.jpg)
Microkinetic ModelingMicrokinetic Modeling
Cornelia Breitkopf
Technische Universität München
Institut für Technische Chemie
Berlin, January 8, 2010Berlin, January 8, 2010
Modern Methods in Heterogeneous Catalysis
Lectures at Fritz-Haber-Institute
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Introduction
• Traditional approach
introduce reactants in a black box (catalytic reactor)
obtain macroscopic kinetic rate constants
use rate equation for reactor design
• New approachfeed “new-age” black box (computer) with rate constants of
elementary steps in catalytic cycle
obtain reaction rate, selectivity + information on each step
(irreversible, reversible, kinetically significant, rate determining, information about intermediates)
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Microkinetic analysis is a different approach !
Traditional approach
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Outline
• What is microkinetic analysis ?
• Which parameters and theories are needed ?– How to derive BrØnsted-Evans-Polanyi and volcano plots ?– How to apply Sabatier principle and bond energy descriptors ?– What are “Ying-Yang” models ?
• Which informative experiments exist ?• How to build a microkinetic model ?
• Literature and examples for self study
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Why Kinetic Studies ?
• Industrial catalysis– Major aspect: effective catalytic processes
Need for efficient approaches to enhance development
• Development and optimization of catalytic processes– Chemical intuition and experience– Supplement with quantitative analysis
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Aspects of kinetics studies
• Kinetics studies for design purposes• Kinetics studies of mechanistic details• Kinetics as consequence of a reaction mechanism
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1. Kinetics studies for design purposes
• Results of experimental studies are summarized in the form of an empirical kinetic expression– Design of chemical reactors– Quality control in catalyst production– Comparison of different brands of catalysts– Studies of deactivation– Studies of poisoning of catalysts
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2. Kinetics studies of mechanistic details
• Experimental kinetic study used to determine details in the mechanism– Problem:
Different models may fit data equally well
• Mechanistic considerations as guidance for kinetic studies
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3. Kinetics studies as a consequence of a reaction mechanism
• Deduction of kinetics from a proposed reaction mechanism
• Historically macroscopic descriptions of the reaction kinetics were used
• Today, detailed scientific information available– Guidance for catalytic reaction synthesis at
various levels of detail– Hierarchical studies
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Levels of Catalytic Reaction Synthesis
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Study of reaction mechanisms
Experiments on
well-defined systems
- Spectroscopic studies on single crystal surfaces
- Structure and reactivity of well-defined catalyst models
Detailed calculations
for individual molecules
and intermediates
- Electron structure calculations including calculations for transition states
- Monte Carlo (Kinetic MC)
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Key Problems of Kinetic Studies
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Key problems for kinetic studies
• Deduction of kinetics from net reaction is not possible
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Key problems for kinetic studies
• Analogy may misleading
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Key problems for kinetic studies
• Simple kinetics simple mechanism
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Key problems for kinetic studies
• Different reaction mechanisms may predict the same overall reaction rate; unable to distinguish between the two mechanisms
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Microkinetic Analysis
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Microkinetics
• Reaction kinetic analysis that attempt to incorporate into the kinetic model the basic surface chemistry involved in the catalytic reaction
• The kinetic model is based on a description of the catalytic process in terms of information and /or assumptions about the active sites and the nature of elementary steps that comprise the reaction scheme.
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Microkinetics
• Convenient tool for the consolidation of fundamental information about a catalytic process and for extrapolation of this information to other conditions or catalysts involving related reactants, intermediates and products.
• Use of kinetic model for description of– Reaction kinetic data– Spectroscopic observations– Microcalorimetry and TPD
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Microkinetic Analysis
• Combination of available experimental data, theoretical principles and appropriate correlations relevant to the catalytic process in a quantitative fashion
• Starting point is the formulation of the elementary chemical reaction steps that capture the essential surface chemistry
• Working tool that must be adapted continually to new results from experiments
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MA – what is different ?
• No initial assumptions !– Which steps of the mechanism are kinetically
significant ?– Which surface species are most abundant ?
• Estimations of the rates of elementary reactions and surface coverages are a consequence of the analysis not a basis !
• Beyond the fit of steady-state reaction kinetic data
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What delivers MA ?
• Expected to describe experimental data from– Steady-state reaction kinetic data +– Data from related experimental studies
• TPD• Isotope-tracer studies• Spectroscopic studies
• Feature: usage of physical and chemical parameters that can be measured independently or estimated by theory
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Reaction Mechanism
• Net reaction A2 + 2 B 2 AB
consists of a number of steps
A2 + B A2B
A2B + B 2 AB
• Concept of elementary steps: further subdivision and introduction of hypothetical intermediates
A2 + B A2B
A2B + B A2B2
A2B2 2 AB
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Elementary Reactions
• A step in a reaction mechanism is elementary if it is the most detailed, sensible description of the step.
• A step which consists of a sequence of two or more elementary steps is a composite step.
• What makes a step in a reaction mechanism elementary ?– depends on available information
The key feature of a mechanistic kinetic model is that it is reasonable, consistent with known data and amenable to analysis.
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Langmuir-Hinshelwood mechanisms
• Simplest class of reaction mechanisms• Three types of reaction steps
– Adsorption of molecules from gas phase– Reaction between adsorbed molecules– Desorption of adsorbed molecules
• Neglect of surface diffusion (surface diffusion is fast !)• Validity of LH models has been subject of long and
heated discussions
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Arguments for LH mechanisms
• Adequate description of essential physics– Description of adsorbates competing for
adsorption sites based on thermodynamic stability– Limits for r 0 and p 0 are qualitatively correct
• Many catalytic reactions happen to proceed at high coverages by intermediates. At these conditions the assumptions in the LH treatment are more or less correct.
• Different kinetic expressions results in the same fits.
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Complications in Kinetic Studies
• Kinetic equations are non-linear– Elementary steps are not necessarily first-order.
• Inerts– Inert surface species need to be treated.
• Non-consecutive steps• Elusive intermediates
– The mechanism may contain intermediates, which have not been observed experimentally.
• Undetectable steps– Order of slow and fast steps !
• Dead ends
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Parameters and Theory
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Parameters for MA
– Sticking coefficients– Surface bond energies– Preexponential factors for surface reactions– Activation energies for surface reactions– Surface bonding geometries– Active site densities and ensemble sizes
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Theory behind the parameters
• Collision and transition-state theory• Molecular orbital correlations
– Bond-order-conservation– Electronegativity scales– Drago-Wayland correlations– Proton affinity and ionization potential correlations
• Activation-energy-bond-strength correlations– Evans-Polanyi-correlation (volcano, Sabatier)
• Bond-energy-desciptors
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Concepts
- A fundamental principle in microkinetic analysis is the use of kinetic parameters in the rate expressions that have physical meaning and, as much as possible, that can be estimated theoretically or experimentally.
- Framework for quantitative interpretation, generalization, and extrapolation of experimental data and theoretical concepts for catalytic processes
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- Rate for a gas-phase bimolecular reaction
Collision Theory (CT)
BAb
a
AB
bABsAB nn
Tk
ETkPr
exp
82
energyactivationE
factorstericP
massreduced
ondistributivelocityBoltzmannMaxwellfromvelocityrelativeaverageTk
factorcollision
a
s
AB
AB
b
AB
...
...
...
...8
...
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- Bimolecular rate constant
- Preexponential factor
- Example: with Ps 1 and estimate of AB
upper limit for preexponential factor
Collision Theory
Tk
ETkPk
b
a
AB
bABsAB exp
82
AB
bABsAB
TkPA
82
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CT- Bimolecular surface reaction
• Modification to represent bimolecular reactions between mobile species on surfaces
BAb
a
AB
bABsAB Tk
ETkPr
exp
22
ionsconcentratsurface
velocityrelativeaverage ldimensionatwoTk
BA
AB
b
...
...2
,
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CT- Adsorption processes
• Use for definition of rate constants for adsorption processes in terms of the number of gas-phase molecules colliding with a unit surface area Fi
– Example: with (sticking coefficient) 1 upper limit for preexponential factor and rate constant for adsorption
Tkm
fTPfTFr
BA
iiA
2
)()()()(
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Transition-State Theory (TS)
• Incorporation of details of molecular structure• Critical assumption: equilibrium between reactants and
activated complex and products• Bimolecular gas-phase reaction
A + B AB# C + D• Potential energy diagram as multidimensional surface • Definition of a reaction coordinate
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Transition-State Theory
• Ideal gas equilibrium constant for the activated complex AB#
• Rate of chemical reaction
BA
AB
nn
nK
##
BAb
AB nnKh
Tkr #
constantsPlanckh
factorfrequencyh
Tk
ionsconcentratn
b
i
´...
...
...
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TS Theory
• Macroscopic formulation of TS is obtained by writing K# in terms of standard entropy, S0#, and enthalpy, H0# changes
• Microscopic formulation of TS is obtained by writing K# in terms of molecular partition functions Qi
BAbb
bAB nn
Tk
H
k
S
h
Tkr
#0#0
expexp
BAbBA
ABbAB nn
Tk
E
Q
h
Tkr
#0
exp#
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TS Theory
• Molecular partition function for a gas-phase species is a product of contributions from translational, rotational and vibrational degrees of freedom
vibirotitransii qqqQ ,,,
3
2/3
,
)2(
h
Tkmq bi
transi
)(8
2
2
, moleculelinearh
TkIq
r
biroti
j
b
ijvibi
Tk
hq
exp1
1,
vibrationof
normalofsfrequencie...ij
numbersymmetryrotational...r
inertiaofmoment...iI
modes
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TS Theory
• Order-of-magnitude estimates
kBT/h = 1013 s-1
qi,trans = 5*108 cm-1 (per degree of translational freedom)
qi,rot = 10 (per degree of rotational freedom)
qi,vib = 1 (per degree of vibrational freedom)
BAbBA
ABbAB nn
Tk
E
Q
h
Tkr
#0
exp#
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TS – Adsorption processes
1) A(g) A# A*
• Rate of reaction for an activated complex of complete surface mobility
A
bgA
AbA n
Tk
E
Q
Q
h
Tkr
#0
exp#
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TS – Adsorption processes
2) A(g) + * A# A*
• Rate of reaction for an immobile activated complex
*#0
exp# A
bgA
AbA n
Tk
E
Q
Q
h
Tkr
vArA
sat
AqqQ ###
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TS – Desorption processes
A* A# A(g)
• Rate of desorption
surfacetheonAspecies
ofionconcentratA ...
AbA
Abd Tk
E
Q
Q
h
Tkr
#0
exp*
#
1*
#
A
A
Q
Q
Ab
bd Tk
E
h
Tkr
#0
exp sh
Tkb /1013
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TS – Preexponential Factors Estimates
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TS – Preexponential Factors Estimates
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Estimates for Activation Energies
• Rate constant = f (A ; EA)
• EA estimation difficult
1) Empirical correlations for EA from heats of reaction
– Bond-order conservation (BOC) by Shustorovich
A2 A* + A*
nMetalAAA EDE2
32
atomsmetalnwith
siteonAofstrengthadsorptionE
bondAAofstrengthD
adsorptiondissforenergyactE
nMetalA
A
A
*...
...
.....
2
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Estimates for Activation Energies
2) Conversion of elementary steps into families of reactions
- especially for large mechanisms where limited experimental data are available
- example: reaction of a paraffin over a metal surface including hydrogenation and
dehydrogenation steps
Evans-Polanyi correlation
.)1(
.
0
0
endothHEE
exothHEE
iiA
iiA
stepelementaryi
formationofheatH
family the for
constantsPolanyiEvansE
i
...
...
...,0
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Volcano curves
• One of the most fundamental concepts in heterogeneous catalysis is the volcano curve
• Empirically established:
activity of catalysts = f ( parameter relating to the ability of the catalyst surface to form chemical bonds to reactants, reaction intermediates, or products)
• Guidelines in the search for new catalysts
• Problem:
Which parameters determine the catalytic activity ?
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Volcano curves
• Which parameters ?• activity = f ( electronic properties )
• activity = f ( bond energies )• Bond energies have been derived for bulk crystalline
structures (carbides, sulfides)*, oxide properties**, various atomic or molecular chemisorption energies***
• Which is the most relevant energy ?
* J. Catal. 216 (2003) 63.** Catal. Lett. 8 (1991) 175.*** J. Catal. 50 (1977) 228.
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Volcano curves
• Generally many volcano curves are plotted as function of a bulk heat of formation – only bulk thermo-chemical data are widely available
• Need for databases of relevant surface thermo-chemical data
• Concepts for describing activation energies – BrØnsted-Evans-Polanyi (BEP) relation
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BrØnsted-Evans-Polanyi
• BEP:
Activation energy = linear function of reaction energy• Background: quantum-chemical calculations
• Interesting outcome after extensive DFT calculations
Classes of similar reactions follow the same “universal” relationship*
* J. Catal. 209 (2002) 275.
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• v
J. Catal. 209 (2002) 275.
This linear BEP correlation in a number of cases leads directly tovolcano curves where the fundamental parameter is the dissociative chemisorption energy ofthe key reactant.
BrØnsted-Evans-Polanyi
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J. Catal. 209 (2002) 275.
Case studies:
(1) A2 + 2* 2 A*(2) A* + B AB + *
- A2 binds weakly coverage negligible- (2) may involve several elementary steps including adsorption of B- approximation: negligible coverage of B
Industrial examples:Ammonia synthesis A = N B = 3/2 H2
BrØnsted-Evans-Polanyi
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BrØnsted-Evans-Polanyi
* J. Catal. 209 (2002) 275.
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BrØnsted-Evans-Polanyi
* J. Catal. 209 (2002) 275.
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BrØnsted-Evans-Polanyi
* J. Catal. 209 (2002) 275.
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Sabatier principleP. Sabatier, Berichte der Deutschen Chem. Gesellschaft 44 (1911) 1984.
• Significant step in its time toward a rational understanding of catalysis
• Definition: maximum rate will be achieved by a catalyst whose combination with reactants is of intermediate stability to be effectively active
• Rephrase: an optimal heterogeneous catalyst provides neither too weak nor too strong interactions of its surface with the reaction partners in the rate determining step*
• application to design of catalysts by means of quantitative description of interaction strengths - BED
* J. Catal. 216 (2003) 63.
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BrØnsted-Evans-Polanyi - BEP
• Empirical knowledge of catalysis and catalysts is enormous Handbook of Heterogeneous Catalysis
• Pd, Pt-Rh NO removal• Co, Fe, Ru Fischer-Tropsch catalysts• Pt, Pd, Ag Oxidation
• Application to activation of diatomic molecule
N2 + 3 H2 2 NH3
n CO + (2n+1) H2 CnH2n+2 + n H2O
…..NO activation
…..O2 activation
* J. Catal. 209 (2002) 275.
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BEP
• Two main parts: dissociation of reacting molecules
removal of dissociation products
• Rate of dissociation is determined by activation barrier for dissociation Ea
• Rate of product removal is given by stability E of surface intermediates
* J. Catal. 209 (2002) 275.
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BEP
* J. Catal. 209 (2002) 275.
fundamental Bronsted-Evans-Polanyicorrelation
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BEP
• Questions– Why is the relationship between Ea and E linear ?– Why is it structure-dependent ?– Why is it adsorbate-independent ?
• Answers– For a given metal surface, the transition state structures are
essentially independent of the molecule and the metal considered
– Transition states do depend on local structure– Transition states are similar for different reactants
* J. Catal. 209 (2002) 275.
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BED – bond energy descriptors
• Application of bond-energy concepts• Descriptors for chemical interactions between X = O,
C, H and metals of the transition state rows of PSE• “Yin-Yang” method
* J. Catal. 216 (2003) 63.
Total energy per unit cellof the bulk compound
Energy of the same unit cellwith atoms X removed
Energy of the same unit cellwith all atoms except X removed
Nearest neighboures
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BED – bond energy descriptors
• Application to LH-mechanisms for adsorption of oxygen, sulfur, ethene
• Description of hydrogenation of ethene, benzene, HDS of DBT, alloying to predict matching effects
* J. Catal. 216 (2003) 63.
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Consistency of the Model
1) Stoichiometric consistency
reactants products :
reactants, intermediates have to be formed and consumed to form products
2) Thermodynamic consistency
If two or more different sequences lead from reactants to products, these sequences must describe the same gas-phase
thermodynamics.
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Thermodynamic Consistency
• Since the thermodynamic properties of the reactants and products are known, it is essential to ensure that the kinetic model is build so that it is consistent with these properties.
• Depending on how the model is parameterized (e.g. in terms of ki,for and Ki,eq, or in terms of ki,rev and Ki,eq), one of the previous equations of thermodynamic consistency must be used for each linear combination of steps that leads to an overall stoichiometric reaction.
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Informative Experiments
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Experimental Techniques
How can information from these techniques be used in
microkinetic analysis ?- Physical techniques bulk structure, surface area,
pore structure- Spectroscopic studies probe of composition and
morphology of the surface
- Kinetic & therm. studies probe catalytic properties of the surface; quantification of kinetic parameters
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X-ray Diffraction
- Crystal structure determines the coordination of the various catalyst components and bond distances between elements surface structure and nature of active sites
- Measurement of average particle sizes with help of Scherrer equation structure-sensitive behaviour
- Analysis of peak shapes can be used to probe the size of crystallites particle size distribution
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Photoelectron Spectroscopy - XPS
- Quantitative analysis of surface composition
! Surface and bulk composition may be different
- Information about surface oxidation state
- Use of treatment chamber – quantification of surface coverage by a particular species
- UPS: probe of valence levels of the catalyst surface
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Infrared Spectroscopy
- Probe for vibrational properties of the catalyst surface groups
- Example: O-H stretching vibration– Intensity of O-H band in the IR spectrum provides a
measure of the surface hydroxyl concentration depending on the catalyst treatment
– Position of O-H band gives information about the nature of the hydroxyl group
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Building a Microkinetic Model
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Building a Microkinetic Model
• Build a set of elementary reactions which reflect all experimental and theoretical information
• Calculate for each reaction the thermodynamics
(for all gaseous species and all adsorbed species)
• Choose material balance of an appropriate reactor and characterize in and out flows
Tk
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Reactor Models
• General types of ideal reactors– Batch reactor– Continuous-flow stirred tank reactor (CSTR)– Plug flow reactor (PFR)
• Typical characteristics of reactors
– Batch: reactor volume VR and holding time t
– Flow: reactor volume VR and space time
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Reactor Models in MA
• For catalytic reactions the space time may be replaced by P, defined as number of catalytic sites in the reactor, SR, divided by the molecular flow rate of feed to the reactor, F
• Material balance for species i in a general flow reactor is given by
dt
dNFRF i
iii0
reactorinispeciesofnumberN
ispeciesofproductionofrateR
reactorofoutflowF
reactorinflowF
i
i
i
i
...
...
...
...0
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Reactor Models in MA
• Batch reactor
with I as turnover frequency (number of reaction events per active site per second)
• CSTR
• PFR
iRiRi SrV
dt
dN
iRiRii SrVFF 0
RiRiii SddVrFF 0
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Microkinetic Analysis
Combination of available experimental data, theoretical principles and appropriate correlations relevant to the catalytic process in a quantitative fashion
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Way down South in the land of cottonWhere good mints juleps are not forgottenAn old farmer sits on his plantationThinking up problems to astound the nationLindemann and Hinshelwood can stand it no moreWhile Smith and Carberry have run for the doorNow there is one as he told it to meAnd I give it to you, completely for freeWe know kinetics is a staid sort of sportIf reaction order is all there´s to reportSo we´ve studied about reactor designIn detail and elegance quite so fineMixing models have been disussedWhere proper equations are a mustAge distributions become important hereAn intricate analysis, it is clearNow this is the question to give you fitsAn excellent chance to test your witsOf these distributions there are many it´s sureDerived from a theory assuredly most pure
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Residence time, internal, and exit ageAll we owe to Danckwerts, that clever sageWhat are they, please, a clear explanationCombining words with an appropriate equationRelationships between them are almost horrendousA discussion of this would be simply tremendousWhen you´ve written all this consider you´re doneNow wasn´t that all just good clean funIf you did what was asked, and that I hopeThen with chemical reactors you´re able to copeOne final thing I must now sayOf the light of knowledge a final rayReaction kinetics is in a messIn spite of Eyring and ArrheniusAlas, was it ever thus so
The more we learn, the less we know !
John B. Butt
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Literature
R.D. Cortright, J.A. Dumesic„Kinetics of Heterogeneous Catalytic Reactions: Analysis of Reaction Schemes“ in: Adv. Catal. 46 (2001) 161-264.
J.A. Dumesic, D.F. Rudd, L.M. Aparicio, J.E. Rekoske„The Microkinetics of Heterogeneous Catalysis“ACS, Washington 1993.
P. Stoltze„Microkinetic simulation of catalytic reactions“in: Progr. Surf. Sci. 65 (2000) 65-150.
O. HinrichsenDechema-Kurs “Angewandte Heterogene Katalyse”, Bochum 2001.
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Research Topic task started on Wed Dec 23, 2009 at 8:13 AM
4 Research Topic candidates were identified in CAPLUS and MEDLINE. using the phrase "microkinetic modeling and heterogeneous catalysis"
33 references were found containing both of the concepts "microkinetic modeling" and "heterogeneous catalysis".
-First-Principles Modeling of Coverage-Dependent Rates of Catalytic Oxidations. Schneider, William F. Abstracts, 38th Great Lakes Regional Meeting of the American Chemical Society, Chicago, IL, United States, May 13-16 (2009).-A C1 microkinetic model for methane conversion to syngas on Rh/Al2O3. Maestri, Matteo; Vlachos, Dionisios G.; Beretta, Alessandra; Groppi, Gianpiero; Tronconi, Enrico. AIChE Journal (2009), 55(4), 993-1008. -Heterogeneous catalysis for hydrogen production and purification: First-principles, experiments, and microkinetic modeling. Mavrikakis, Manos. Abstracts of Papers, 237th ACS National Meeting, Salt Lake City, UT, United States, March 22-26, 2009 (2009),
for the latest literature search please contact:[email protected]
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Example
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Methane Oxidation by Mo/V-Oxides
M.D. Amiridis,J.E. Rekoske, J.A. Dumesic, D.F. Rudd, N.D.Spencer, C.J. Peireira. AIChE J. 37 (1991) 87.
Development of a microkinetic model of the partial oxidation of methane over MoO3-SiO2 and V2O5- SiO2
catalysts
Problem: limited data availableStart : seek of experimental data and theoretical concepts from related or analogous catalytic systems
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…continued
Aim is to reproduce the kinetic data for methane partial oxidation
CH4 CH3OH, HCHO, CO, CO2, H2O
which includes also independent kinetic data for these subsequent partial oxidations
CH3OH HCHO, CO, CO2, H2O HCHO CO, CO2, H2O CO CO2
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Macrokinetic analysis of the problem
- Kinetic investigations showed quantitative differences in the performances of MoO3-SiO2 and V2O5-SiO2
catalysts- Selectivity to CO2 at low CH4 conversion was zero
for the V-catalyst; for the Mo-catalyst it was between 10-20 %
- CO2 is a direct product of methane oxidation over Mo-catalyst and a secondary over V-catalyst
- Need of two pathways to CO2 to describe both catalysts
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Macrokinetic analysis of the problem
- Addition of sodium leads to decrease in conversion level and drop in the selectivity to HCHO for both catalysts- Effect to be analyzed by semiempirical MO
calculationsd-band characteristics:
- empty, to reduce CO2 formation- located at sufficient low energy to accept
electrons during methane activation to form methoxy and hydroxyl surface species
- tetrahedral coordination for high conversion
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Development of the model
Oxidation of CO
- Kinetic investigations on V-catalyst- @ 733 K reaction is first order in CO and zero order
in oxygen- Activation energy in T: 673-773 K is 25.2 kcal/mol
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Development of the model
Oxidation of HCHO
Kinetic investigations on Mo-catalyst @ 600-925 K
- CO is principal product with small amounts of CO2 at higher T
- Kinetic investigations on V-catalyst @ 500-900 K- CO production passes through a maximum near 800 K
and CO2 production increases monotonically with T
- IR data
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Development of the model
Oxidation of CH3OH
- Catalytic activity of Mo-catalyst starts at 500 K with
complete conversion at 700 K- Methoxy species (IR, EPR)
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Development of the model
Oxidation of CH4
Two possible ways of methane adsorption on the surface
1) initial formation of a precursor state on the surface and consecutive dissociation into methoxy- and hydroxyl groups2) activation of surface Oxygen to O- and consecutive dissociative adsorption of methane
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Development of the model
Mechanism as combination of all steps
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Development of the model
• Combined consideration of the oxidations of carbon monoxide, formaldehyde, methanol, and methane
• Agreement with available literature
• No assumptions about the existence of rate-determining steps or most abundant surface intermediates
• All steps reversible; two pathways for CO2 formation
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Tk
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k
S
k
kK
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forieqi
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,, expexp
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Calibration of the model
Estimation of preexp. factors
Estimation of H for each elementary step+ additional use of Evans-Polanyi correl.
Estimation of bond strength (constrained to physically reasonable limits)
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Comparison of Experiment and Model
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Comparison of Experiment and Model
Agreement of model and experimental data for different temperatures and different experimental conditions
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Active Steps during CH4 partial oxidation
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Molecular Orbital Studies
Coordination number affects the electronic structure of transition metal oxides
Major effect of cation coordination is the energy of the d bands
The number of d-orbitals with high energy number increases with coordination
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Analysis of Adsorption