Chapter 7: Collection and Analysis of Rate Data


Finding the Rate Law

Consider the following reaction that occurs in a constant volume batch reactor: (We will withdraw samples and record the concentration of A as a function of time.)

A \(\rightarrow\) Products


Mole Balance:

\(\frac{dN_A}{dt} = r_A V\)

Rate Law:

\(-r_A = k C_A^\alpha\)

Stoichiometry:

\(V = V_0\)

Combine:

\(\frac{dC_A}{dt} = k C_A^\alpha\)


Topics

  1. Integral Method
  2. Differential Method
  3. Non-Linear Least-Squares Analysis

Integral Method

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We could integrate the combined mole balance and rate law to plot reaction rate data in terms of concentration vs. time for 0, 1st, and 2nd order reactions.

Table 7.1- Derivation Equations used to Plot 0, 1st, and 2nd order reactions.

These types of plots are usually used to determine the values k for runs at various temperatures and then used to determine the activation energy.

Table 7.1
Zero Order First Order Second Order

Zero order, \(\alpha = 0\)

First order, \(\alpha = 1\)

Second order, \(\alpha = 2\)

Graph showing a negative slope with the label 'slope = -k'. The x-axis represents time (t), and the y-axis represents concentration (C_A). Graph showing a positive slope with the label 'slope = k'. The x-axis represents time (t), and the y-axis represents the natural logarithm of the ratio (C_A0 / C_A). Graph showing a positive slope with the label 'slope = k'. The x-axis represents time (t), and the y-axis represents the reciprocal of concentration (1 / C_A).

Equation: \( \frac{dC_A}{dt} = r_A = -k \)

At \( t = 0 \), \( C_A = C_{A0} \)

Solution: \( C_A = C_{A0} - kt \)

Equation: \( \frac{dC_A}{dt} = r_A = -kC_A \)

At \( t = 0 \), \( C_A = C_{A0} \)

Solution: \( \ln{\left( \frac{C_{A0}}{C_A} \right)} = kt \)

Equation: \( \frac{dC_A}{dt} = r_A = -kC_A^2 \)

At \( t = 0 \), \( C_A = C_{A0} \)

Solution: \( \frac{1}{C_A} - \frac{1}{C_{A0}} = kt \)

If the data do not fall on a straight line for α=0,1, or 2 such as α=2;

Graph showing a positive slope with the label 'slope = k'. The x-axis represents time (t), and the y-axis represents the reciprocal of concentration (1 / C_A), with data points marked as black dots along the line.

then we should stop guessing reaction orders and proceed to either the differential method of analysis or to regression.



Differential Method

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Taking the natural log of \(\frac{dC_A}{dt} = k C_A^\alpha\),

\(\ln \left( - \frac{dC_A}{dt} \right) = \ln k + \alpha \ln C_A\)

The reaction order can be found from a ln-ln plot of:

\(\left( - \frac{dC_A}{dt} \right) \, \text{vs} \, C_A\)

Graph showing a line with data points, where the slope is labeled 'slope = α'. The x-axis represents the natural logarithm of concentration (C_A), and the y-axis represents the natural logarithm of the rate of change of concentration (-dC_A/dt). A dotted line extends from a data point to the x-axis, indicating C_AP. A box on the right shows the equation k = (-dC_A/dt)_P / C_AP^α.

Methods for finding the slope of log-log and semi-log graph papers may be found at http://www.physics.uoguelph.ca/tutorials/GLP/.

However, we are usually given concentration as a function of time from batch reactor experiments.

Concentration vs Time
Time (s) 0 t1 t2 t3
Concentration (mol/dm3) CA0 CA1 CA2 CA3

Three Ways to Determine (-dCA/dt) from Concentration-Time Data (Graphical,    Polynomial, Finite Difference, Non-Linear Least Squares Analysis)

2A. Graphical

Graph showing a series of rectangular boxes decreasing in size along the x-axis, representing the rate of change of concentration (-ΔC_a/Δt) over time (t). The boxes are aligned under a decreasing curve. The x-axis represents time, and the y-axis represents the rate of change of concentration.        Graph showing a curve with data points labeled at different time intervals (t0, t1, t2). The x-axis represents time, and the y-axis represents the rate of change of concentration (-dC_A/dt). Three rectangular boxes are drawn between the curve and the y-axis, with arrows indicating the areas under the curve between different time intervals.

This method accentuates measurement error!

 

2B. Polynomial (using Polymath)

\(C_A = a_0 + a_1 t + a_2 t^2 + a_3 t^3 + a_4 t^4\)

\(\frac{dC_A}{dt} = a_1 + 2a_2 t + 3a_3 t^2 + 4a_4 t^3\)


2C. Finite Difference

\(\frac{dC}{dt}\Bigg|_i = \frac{C_{i+1} - C_{i-1}}{2 \Delta t}\)


Non-Linear Least-Squares Analysis

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We want to find the parameter values (alpha, k, E) for which the sum of the squares of the differences, the measured parameter (Pm), and the calculated parameter (Pc) is a minimum.

\(\sigma^2 = \frac{\sum_{i=1}^{n} (P_{mi} - P_{ci})^2}{N - K}\)

That is we want \(\sigma^2\) to be a minimum.

Concentration vs Time
Time (s) 0 t1 t2 t3
Concentration (mol/dm3) CA0 CA1 CA2 CA3

For concentration-time data, the measured parameter P has concentration CA. We can integrate the combined mole balance equation and rate law

\(\frac{dC_A}{dt} = - C_A^\alpha\)

to obtain

\(C_A = \left[ C_{A0}^{1-\alpha} - (1 - \alpha) k t \right]^{\frac{1}{1-\alpha}}\)

We now guess k and alpha and calculate each CACi at the times shown in the above table and then compare it with the measured concentration by taking the difference and squaring it.

We then sum up the differences for all the data points.

\( s^2 = \sum_{i=1}^{N} (C_{Ami} - C_{Aci})^2 = \sum_{i=1}^{N} \left( C_{Ami} - \left[ C_{A0}^{1-\alpha} - (1 - \alpha) k t_i \right]^{\frac{1}{1-\alpha}} \right)^2 \)



We continue to guess k and alpha until we find the values of alpha and k which minimize S2 (actually we let the computer find these values.)

Graph showing a 3D plot with the variable S² increasing in concentric rings labeled 20, 40, 60, 80, and 100. The x-axis represents α, the y-axis represents k, and the z-axis represents S². A dashed line extends from the plot to the α-axis, indicating a relationship between k, α, and S².



  * All chapter references are for the 1st Edition of the text Essentials of Chemical Reaction Engineering .

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