© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 19.

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© 2014 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 19

Where We’re Going Part I - Chemical Reactions Part II - Chemical Reaction Kinetics Part III - Chemical Reaction Engineering ‣ A. Ideal Reactors ‣ B. Perfectly Mixed Batch Reactors  18. Reaction Engineering of Batch Reactors  19. Analysis of Batch Reactors  20. Optimization of Batch Reactor Processes ‣ C. Continuous Flow Stirred Tank Reactors ‣ D. Plug Flow Reactors ‣ E. Matching Reactors to Reactions Part IV - Non-Ideal Reactions and Reactors

Reaction Engineering with Batch Reactors Operation ‣ Clean ‣ Prepare and Charge ‣ Process according to Protocol ‣ Drain Productivity ‣ Turnaround time ‣ Processing (reaction) time Reactor Design Problems ‣ Sizing and Processing Protocol ‣ Optimization Other Reaction Engineering Tasks ‣ Simulate the entire process (e. g. for automating controls) ‣ Evaluate the effect of some change in the protocol Reasons for using Batch Reactors ‣ Flexibility ‣ Small Quantities of Product ‣ Precise Control Disadvantages ‣ Labor Intensive ‣ Batch to Batch Consistency ‣ Not Suited to Producing Large Quantities Importance of Physical Understanding ‣ You will retain your physical understanding much longer than an equations-based understanding ‣ A physical understanding may allow you to eliminate some design alternatives without having to solve the design equations ‣ It will be easier to make creative new (patentable) discoveries if you have a sound physical understanding

Methodology of Qualitative Batch Reactor Analysis Consider a small interval of time at the start of the reaction ‣ Determine how concentrations and temperature will change during that interval ‣ Determine whether the net effect of the changes will be a rate that is larger or smaller ‣ Determine the effect of these changes upon the equilibrium conversion Consider the next interval of time ‣ Determine how concentrations and temperature will change during that interval - If the rate is larger than the previous interval, changes will be larger - If the rate is smaller than the previous interval, changes will be smaller Knowing that eventually the rate will go to zero as the system approaches equilibrium ‣ Decide whether the pattern established in the early intervals can continue ‣ If the early pattern can’t continue, infer what must happen so that the system approaches equilibrium properly

Questions?

Analysis of a Reactant-Inhibited Reaction Suppose the catalytic reaction (1) below is reactant inhibited with a rate expression of the form shown in equation (2). The reaction is irreversible, and K is very, very small in magnitude. Predict how the rate and the conversion will vary as a function of batch reaction time (a) if P A 0 = P B 0, (b) if P A 0 > P B 0 and (c) if P A 0 < P B 0. A + B → Y + Z(1) (2)

Analysis of a Reactant-Inhibited Reaction Suppose the catalytic reaction (1) below is reactant inhibited with a rate expression of the form shown in equation (2). The reaction is irreversible, and K is very, very small in magnitude. Predict how the rate and the conversion will vary as a function of batch reaction time (a) if P A 0 = P B 0, (b) if P A 0 > P B 0 and (c) if P A 0 < P B 0. A + B → Y + Z(1) (2) (a) Initially the rate will not change over time because K is negligible and P A and P B cancel out; the conversion will increase linearly - at some point, the K in the denominator will become significant so that the numerator decreases more than the denominator and the rate will start to decrease more and more (concave down); as a consequence, the conversion versus time will become concave downward (the slope will become increasingly shallow) - the rate versus time must eventually pass through an inflection point (become concave upward) and asymptotically approach a value of zero; this will occur as the K in the denominator becomes predominant; but the conversion will remain concave downward, approaching a horizontal asymptote as time goes to infinity.

Analysis of a Reactant-Inhibited Reaction Suppose the catalytic reaction (1) below is reactant inhibited with a rate expression of the form shown in equation (2). The reaction is irreversible, and K is very, very small in magnitude. Predict how the rate and the conversion will vary as a function of batch reaction time (a) if P A 0 = P B 0, (b) if P A 0 > P B 0 and (c) if P A 0 < P B 0. A + B → Y + Z(1) (2) (b) Here we’ll assume that A is in sufficient excess that the denominator is nearly constant over the course of the reaction. In that case, the reaction is effectively first order in B. The conversion will start at zero with a positive slope. That slope will decrease over time, eventually reaching zero as the time approaches infinity. The rate will start with a finite positive value and a negative slope; the slope will increase (i. e. become less negative) over time until it eventually reaches zero as the time approaches infinity. (c) The rate expression cannot be valid for this case since it predicts a positive rate when there is no A present. As a result, it would be meaningless in this case to predict the qualitative behavior of a reactor on the basis of this rate expression.

Qualitative Analysis with Parallel Reactions Suppose irreversible, parallel reactions (1) and (2) take place isothermally in a batch reactor with kinetics as indicated. Prepare a three slide presentation that describes and qualitatively justifies approaches you might employ in order to improve the selectivity for D. A + S → Dr = 10 e -10/T C A C S (1) A + S → Ur = 10 e -15/T C A (C S ) 2 (2)

Qualitative Analysis with Parallel Reactions Suppose irreversible, parallel reactions (1) and (2) take place isothermally in a batch reactor with kinetics as indicated. Prepare a three slide presentation that describes and qualitatively justifies approaches you might employ in order to improve the selectivity for D. A + S → Dr = 10 e -10/T C A C S (1) A + S → Ur = 10 e -15/T C A (C S ) 2 (2) Instantaneous selectivity parameter: D is favored by low temperature low C S Low reaction temperature will trade off rate of conversion versus selectivity to D; use the lowest acceptable temperature Low initial concentration of S will trade off conversion and time per batch versus selectivity to D Other approaches Find a catalyst that favors production of D If reaction is solution phase, find a solvent that favors production of D

Where We’re Going Part I - Chemical Reactions Part II - Chemical Reaction Kinetics Part III - Chemical Reaction Engineering ‣ A. Ideal Reactors ‣ B. Perfectly Mixed Batch Reactors  18. Reaction Engineering of Batch Reactors  19. Analysis of Batch Reactors  20. Optimization of Batch Reactor Processes ‣ C. Continuous Flow Stirred Tank Reactors ‣ D. Plug Flow Reactors ‣ E. Matching Reactors to Reactions Part IV - Non-Ideal Reactions and Reactors