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23-Chem-A4 Chemical Reactor Engineering · December 2016

Question 1 of 5: Rate that Passes Through a Maximum — Choosing CSTR vs PFR

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Exams / EGBC — December 2016 — 04-Chem-A4 Chemical Reactor Engineering. Three-hour open-book exam; one textbook of the candidate’s choice (Fogler or Levenspiel), personal unit-conversion / mathematical tables (CRC Handbook) and a non-communicating programmable calculator are permitted. Five questions are printed and any four constitute a complete paper (each worth 25 marks; Q1 and Q4 are split 5 / 12 / 8, Q5 is 9 / 5 / 11); all five are solved below for completeness. No credit is given for re-deriving standard rate expressions, so the batch / CSTR / PFR design equations are quoted and applied, and significant formulae are cited by origin as the rubric requests. Property look-ups not printed on the paper (the gas constant $R$) are stated explicitly in each Given block as permitted open-book references.

Reference texts: H. S. Fogler, Elements of Chemical Reaction Engineering (5th ed., Prentice Hall) — Levenspiel plots and the mixed-flow / plug-flow design equations (Ch. 2), the stoichiometric table (Ch. 3), adiabatic energy balances (Ch. 11–12), internal-diffusion effectiveness factors and the generalized Thiele modulus (Ch. 15), and residence-time distributions (Ch. 16–17). O. Levenspiel, Chemical Reaction Engineering (3rd ed., Wiley, 1999) — the "which reactor is better" rate-curve reasoning (Ch. 5–6) and pulse-tracer RTD analysis (Ch. 11–13).

Question 1: Rate that Passes Through a Maximum — Choosing CSTR vs PFR (25 marks: a 5, b 12, c 8)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. Because $B$ is in large excess, $C_B \approx C_{B0}$ is constant and the rate collapses to a function of $C_A$ alone, $-r_A = \dfrac{k' C_A}{(1 + K_A C_A)^2}$ with lumped constant $k' = k\,C_{B0}$. The design comparison uses the exit-based mixed-flow rule against the plug-flow area on a Levenspiel plot.

Find. (a) the concentration at which $-r_A$ peaks; (b)–(c) which single ideal reactor gives the smaller volume for two different exit concentrations, with reasoning from the $1/(-r_A)$ curve.

Approach. Differentiate the lumped rate to locate the maximum, then plot $1/(-r_A)$ and apply the Levenspiel-plot rule — a CSTR volume is the rectangle $[X_{\text{exit}}]\times[1/(-r_A)]_{\text{exit}}$ while a PFR volume is the area under the curve; whichever is smaller wins.

Part (a) — location of the maximum

  1. Differentiate the lumped rate. With $-r_A = k' C_A (1+K_A C_A)^{-2}$, the quotient/product rule gives $$\frac{d(-r_A)}{dC_A} = k'\,\frac{(1+K_A C_A) - 2 K_A C_A}{(1+K_A C_A)^3} = k'\,\frac{1 - K_A C_A}{(1+K_A C_A)^3}.$$
  2. Set the derivative to zero. The denominator is always positive, so the numerator vanishes when $1 - K_A C_A = 0$, i.e. $$\boxed{\,C_{A,\text{max}} = \dfrac{1}{K_A}\,}.$$ The second derivative is negative here, confirming a maximum rather than a minimum. Physically the rate first rises with $C_A$ (more reactant) then falls as the $(1+K_A C_A)^2$ adsorption/inhibition term in the denominator takes over — classic Langmuir–Hinshelwood behaviour.

Part (b) — feed $1.5/K_A$, exit $0.5/K_A$

4.04.24.44.60.5/K_A1/K_A1.5/K_Amin of 1/(-r_A): rate maxfeed C_A0=1.5/K_Aexit (b) 0.5/K_AC_A (increasing conversion ←)1 / (−r_A)
Levenspiel plot $1/(-r_A)$ vs $C_A$ (in units of $K_A/k'$). The curve dips to a minimum at $C_A = 1/K_A$ (where the rate peaks). Reading right→left is the direction of increasing conversion. For part (b) the reactor operates from $1.5/K_A$ down to $0.5/K_A$; the exit sits at the highest point of $1/(-r_A)$ on that interval.
  1. Tabulate $1/(-r_A)$ at the key concentrations. Writing $u = K_A C_A$, $1/(-r_A) = \dfrac{K_A}{k'}\dfrac{(1+u)^2}{u}$. In units of $K_A/k'$: at the feed $u=1.5\Rightarrow 4.167$; at the rate peak $u=1\Rightarrow 4.000$ (the minimum of the curve); at the exit $u=0.5\Rightarrow 4.500$.
  2. Apply the Levenspiel rule at the exit. The operating window $[0.5/K_A,\,1.5/K_A]$ straddles the peak, so the reaction first speeds up then slows down as $A$ is consumed. The exit value $1/(-r_A)=4.5$ is the largest on the interval. A CSTR must run entirely at that worst (exit) rate — its volume is the tall rectangle of height $4.5$ — whereas a PFR only pays the exit rate at the very end and enjoys the lower values (down to $4.0$) throughout the rest of the reactor. $$\boxed{\text{Use a PFR}}$$ Because the area under the curve is smaller than the exit rectangle, the PFR needs less volume.

Part (c) — feed $1.5/K_A$, exit $1/K_A$

  1. Re-read the curve over the narrower window. Now $C_A$ runs from $1.5/K_A$ only down to $1/K_A$. Over $[1/K_A,\,1.5/K_A]$ the rate is monotonically increasing as $A$ is consumed (we approach the peak from the right), so $1/(-r_A)$ falls steadily from $4.167$ to its minimum $4.000$ at the exit.
  2. Apply the Levenspiel rule again. Here the exit $1/(-r_A)=4.0$ is the smallest value on the interval. A CSTR runs the whole reactor at that best (lowest) exit rate — the rectangle of height $4.0$ — which is smaller than the area under the (higher) curve that a PFR integrates. $$\boxed{\text{Use a CSTR — the answer changes}}$$ Whenever the exit lies on a falling stretch of $1/(-r_A)$, mixed flow wins; whenever the exit lies on a rising stretch, plug flow wins.
QuantityResult
(a) Concentration at maximum rate$C_A = 1/K_A$
(b) Best single reactor, exit $0.5/K_A$PFR (exit is the peak of $1/(-r_A)$)
(c) Best single reactor, exit $1/K_A$CSTR (exit is the trough of $1/(-r_A)$)
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