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Summary of concepts so far

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However, we are rarely at equilibrium. ... The linear forms are specific to each case and require some ingenious algebraic manipulation ... – PowerPoint PPT presentation

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Title: Summary of concepts so far


1
Summary of concepts so far
  • Stoichiometry (Conservation of mass)
    quantitative relation between reactants and
    products
  • Thermodynamics predicts ratio of products to
    reactants at equilibrium. However, we are rarely
    at equilibrium. If there is a net rate of
    reaction, we are not at equilibrium.
  • Kinetics Quantitative description of observed
    reaction rate (its temperature and concentration
    dependency)
  • Mechanism postulated interactions between
    components (reactants, products, and
    intermediates) that explain the observed kinetics

2
Reading assignment
  • Review section 2.3 (Levenspiel) which summarizes
    the relationship between stoichiometry, kinetics,
    and mechanism

3
How do we observe the kinetics
  • Physical arrangements in the laboratory
  • Batch reactors
  • Flow reactors
  • Ways of analyzing data
  • Integral
  • Differential

4
How do we observe the kinetics in a batch
reactor
  • As a function of time, observe
  • Concentration
  • Pressure (at constant volume)
  • Volume (at constant pressure)
  • Some other property that can be related to
    concentration.
  • Establish concentration dependency at constant
    temperature
  • Then establish temperature dependency by
    repeating experiment at different temperatures

5
Concentration dependency in a constant volume
batch reactor
  • Integrate this expression to get C vs t
    expression, compare with C vs t data to obtain
    constants k, a, b ? Integral method of
    analysis
  • OR,
  • Find dCi/dt from C vs t data, compare with
    expression to obtain k, a, b
  • ? Differential method of analysis

6
Integral method of analysis
  • Say we postulate a unimolecular, irreversible
    reaction
  • Plotting ln(CA/CA0) vs t should give straight
    line with slope k.

7
Notation and conventions
  • CA/CA0 is the fraction of reactant remaining
    (unreacted) at time t
  • Define conversion as the fraction reacted
  • Thus,

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Zero order kinetics
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nth order kinetics
  • n is not necessarily an integer
  • Plot L.H.S vs t, if straight line results, k is
    the slope

12
n 2
  • 1/CA vs t should give straight line
  • Or, using XA insead of CA

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nth order kinetics
  • Plot L.H.S vs t, if straight line results, k is
    the slope (n is not necessarily an integer)
  • PROBLEM we do not know n, this becomes a trial
    and error procedure with an infinite number of
    possibilities for n
  • The half-life method provides a systematic
    approach

15
The half-life method
  • nth order kinetics result rewritten
  • Let CA 0.5CA0 at t t1/2, the half-life of
    A

16
The half-life method
  • Plot log t1/2 vs logCA0 to get 1-n from slope
  • Will also work with fractions other than 0.5,
    e.g. t0.8
  • Problem we do not know the times at which to
    take CA measurements a priori
  • Solution take CA measurements at pretty much
    regular intervals and then fit a curve to CA vs
    time data so that CA at any required time can be
    estimated.

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Recap Integral method of analysis
  • determining concentration dependency in a
    constant volume batch reactor
  • Integrate this expression to get C vs t
    expression, compare with C vs t data to obtain
    constants k, a, b
  • Example 3.1

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Differential method of analysis
  • determining concentration dependency in a
    constant volume batch reactor 1) postulate
  • 2) Obtain dC/dt vs C relationship from C vs t
    data
  • 3) Compare with postulated expression on
    appropriate coordinates to determine order and
    obtain parameters
  • Step 2 will require appropriate methodology

27
Differential method of analysis
  • Obtaining dC/dt vs C from discrete C vs t data
  • Alternatives
  • Use ?C/ ?t from adjacent points, attribute them
    to the mid-point
  • Fit a curve to the C vs t data, draw tangents to
    the curve at the data points and measure dC/dt
    (manually, or using computer programs like Excel)
  • Beware of curve fitting pitfalls!
  • Example 3.2

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Recap Examples 3.1 and 3.2
  • We have used the integral and differential
    methods of analysis for the unimolecular type
    reaction
  • A ? products
  • We came up with the rate expression
  • What does this say about the reaction?
  • Not elementary, i.e. not really unimolecular
  • We now need a mechanism to explain how this
    reaction takes place.

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  • Now look at

35
  • What is the relation between CA0 and CB0 ?
  • Could be CA0 CB0 , but does not have to be
  • Let M CB0 / CA0 initial molar ratio

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  • M CB0 / CA0 the initial molar ratio
  • What value should we aim at?
  • If CB0 gtgt CA0 (i.e. M is large), CB would not
    deviate much from CB0 as reaction proceeds,
    CB(t)? CB0

39
Case M gtgt 1
  • In plain English, when there is a lot of excess
    of one reactant, the rate appears to be dependent
    only on the limiting reactant. Our second order
    (overall) reaction appears to be first order!
  • This could be useful in determining the orders in
    a reaction rate like
  • by providing excess of two reactants while
    seeking the order with respect to the limiting
    reactant

40
Case M 1 (stoichiometric)
  • The general solution we obtained
  • becomes indeterminate.
  • But, if CA0 CB0, and we have AB? products,
    stoichiometry tells us CA(t) CB (t) , and we
    have
  • This would also apply to 2A ? products

41
What about A2B? products ?
  • M CB0 / CA0 2 for stoichiometry now
  • Say we still look for a second order (overall)
    reaction rate

42
  • A2B? products but M ? 2
  • We can obtain, similar to the A B case,

43
Reversible reactions
44
Reversible reactions
45
Reversible reactions
46
Reversible reactions
47
Reversible reactions
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Reaction rate parameters from batch data - Summary
  • Batch reactor experiments give us concentration
    vs time data.
  • With either the integral or differential method
    of analysis we seek to test the reaction rate
    expression against the data in an appropriate
    linear form
  • If we get agreement in the linear form we also
    get the values of the reaction rate constant
  • The linear forms are specific to each case and
    require some ingenious algebraic manipulation

54
Cases analyzed in Chapter 3
  • By the integral method
  • Irreversible unimolecular-type first-order
    reactions
  • Irreversible bimolecular-type second-order
    reactions
  • Irreversible trimolecular-type third-order
    reactions
  • Empirical rate equations of nth order
  • Zero order reactions
  • Overall order of irreversible reactions from the
    half-life
  • Irreversible reactions in parallel
  • Homogeneous catalyzed reactions
  • Autocatalyic reactions
  • Irreversible reactions in series
  • First-order reversible reactions
  • Second-order reversible reactions
  • Reversible reactions in general
  • Reactions of shifting order

55
Cases analyzed in Chapter 3
  • By the differential method
  • Empirical rate equations of nth order
  • In a variable volume batch reactor
  • Zero order reactions
  • First-order reactions
  • Second-order reactions

56
Pressure and concentration
  • Gas phase composition often reported by pi
    partial pressure of component i
  • Ideal gas law PVnRT
  • n/V C, concentration, e.g. mol/L CP/RT
  • ni/V Cipi/RT
  • Example 3.4 demonstrates the correct use of p in
    rate expressions

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