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23-Chem-A4 Chemical Reactor Engineering · May 2013

Question 2 of 5: Reversible Pseudo-First-Order Esterification of Formic Acid

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

Notes on this paper

National Exams — May 2013 — 04-Chem-A4 Chemical Reactor Engineering. Three-hour, open-book exam; any non-communicating calculator permitted, Fogler’s Elements of Chemical Reaction Engineering allowed. Format: five questions, each 20 marks; any four constitute a complete paper (80 marks). All five are solved below for completeness. Per the paper’s instructions, all data are treated as exact and answers are given to three significant figures.

Reference texts: H. S. Fogler, Elements of Chemical Reaction Engineering (4th ed., Prentice Hall) — rate laws, batch/PFR/CSTR design equations, Arrhenius temperature dependence, integral & differential data analysis; O. Levenspiel, Chemical Reaction Engineering (3rd ed., Wiley) — reactor comparison and the tanks-in-series model; supporting thermochemical and property data from Perry’s Chemical Engineers’ Handbook (9th ed.).

Question 2: Reversible Pseudo-First-Order Esterification of Formic Acid (20 marks)

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. Isothermal (25 °C) batch reactor; alcohol and water in constant excess make the esterification behave as a reversible pseudo-first-order reaction $A\rightleftharpoons B$. Starting acid $A_0=0.0677$ mol/L; equilibrium $A_e=0.0292$ mol/L.

QuantityValue
$t$ (min)0, 50, 100, 160, 290
$[\text{HCOOH}]$ (mol/L)0.0677, 0.0615, 0.0562, 0.0509, 0.0428
Equilibrium $A_e$0.0292 mol/L
Integrated model$\ln[(A_0-A_e)/(A-A_e)]=(k_f+k_r)t$

Find. (a) confirmation of the reversible pseudo-first-order model; (b) $k_f$ and $k_r$; (c) $K=k_f/k_r$.

-14.5-0.083249.30.1581130.41770.6412410.8823041.12time t (min)ln[(A₀−A_e)/(A−A_e)]Reversible 1st-order test
Figure 3 — Reversible pseudo-first-order diagnostic for the formic-acid esterification: $\ln\!\frac{A_0-A_e}{A-A_e}$ vs $t$ is linear (slope $=k_f+k_r$), confirming the $A\rightleftharpoons B$ model.

Approach. Linearize the supplied integrated form to get $k_f+k_r$, use the equilibrium position to get $K=k_f/k_r$, then solve the two together for the individual constants.

  1. (a) Establish the reversible pseudo-first-order model. With ethanol and water in large, effectively constant excess, the esterification reduces to $A\rightleftharpoons B$ with pseudo-first-order forward and reverse steps. The supplied integrated form is $$\ln\!\frac{A_0-A_e}{A-A_e} = (k_f+k_r)\,t,$$ where $A_e$ is the equilibrium (t → ∞) formic-acid concentration. Taking $A_e = 0.0292$ mol/L (the final tabulated value) and $A_0=0.0677$ mol/L, the left-hand side evaluated at each time is $\{0,\,0.176,\,0.355,\,0.573,\,1.041\}$. Plotted against $t$ these fall on a straight line through the origin (Figure 3), so the model holds: $$\boxed{\ln\!\frac{A_0-A_e}{A-A_e}\ \text{is linear in } t.}$$
  2. Slope gives the sum of rate constants. The least-squares slope of the line is $$k_f+k_r = \boxed{3.59\times10^{-3}\ \text{min}^{-1}}.$$
  3. (c) Pseudo-equilibrium constant. At equilibrium the forward and reverse rates balance, $k_fA_e=k_r(A_0-A_e)$, so $$K=\frac{k_f}{k_r}=\frac{A_0-A_e}{A_e}=\frac{0.0677-0.0292}{0.0292}=\boxed{1.32}.$$
  4. (b) Individual rate constants. Combine the sum and the ratio. From $k_f=K\,k_r$ and $k_f+k_r=3.59\times10^{-3}$, $$k_r=\frac{k_f+k_r}{1+K}=\frac{3.59\times10^{-3}}{2.32}=\boxed{1.55\times10^{-3}\ \text{min}^{-1}},\qquad k_f=(k_f+k_r)-k_r=\boxed{2.04\times10^{-3}\ \text{min}^{-1}}.$$
QuantityResult
(a) ModelReversible pseudo-1st-order — plot is linear
$k_f+k_r$$3.59\times10^{-3}$ min$^{-1}$
(b) $k_f$$2.04\times10^{-3}$ min$^{-1}$
(b) $k_r$$1.55\times10^{-3}$ min$^{-1}$
(c) $K=k_f/k_r$1.32