23-Chem-A4 Chemical Reactor Engineering · May 2017
Question 4 of 5: Adiabatic Batch Hydrolysis of Acetic Anhydride — Time for 80% Conversion
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
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Paper format. Chemical Engineering — 23-Chem-A4 Chemical Reactor Engineering, May 2017. Open-book, 3 hours. Five questions; answering any four constitutes a complete paper (each 25 marks). All five are solved below.
Reference texts. O. Levenspiel, Chemical Reaction Engineering, 3rd ed. (Wiley); H. S. Fogler, Elements of Chemical Reaction Engineering, 5th ed. (Pearson); Perry's Chemical Engineers' Handbook, 9th ed.
Question 4: Adiabatic Batch Hydrolysis of Acetic Anhydride — Time for 80% Conversion (25 marks)
Find. The batch time to reach 80% conversion under adiabatic operation (temperature free to rise).
Figure 4.1 — Arrhenius plot of the pseudo first-order constant; the four data lie on a straight $\ln k$ vs $1/T$ line giving $E_a=46.9$ kJ/mol.
Approach. Fit the supplied $k(T)$ to Arrhenius form, close an adiabatic energy balance to express temperature as a linear function of conversion, then integrate the batch design equation numerically along that rising-temperature path.
Check (heat-of-reaction units): the source prints “210 MJ/kg”, which cannot be meant literally — with $M_A=0.102$ kg/mol it would drive an adiabatic rise of $\sim$1580 K. Assumption: the unit is read as 210 MJ/kmol $=$ 210 kJ/mol (a kg↔kmol slip). This is the reading the rest of the data support: it gives $\Delta T_\text{ad}\approx15.5$ K, so the mixture runs from 15 °C to about 27 °C at 80% conversion, which is exactly the 15–30 °C span over which $k$ is tabulated. (The alternative reading, 210 kJ/kg, would give a rise of only 1.6 K and $t\approx1133$ s, making the temperature data nearly redundant.) Per exam instruction #1, this assumption is stated explicitly.
Fit the Arrhenius line. Regressing $\ln k$ on $1/T$ (K) gives slope $-E_a/R=-5635$ K, hence $$E_a=(5635)(8.314)=\boxed{46.9\ \text{kJ/mol}},\qquad A=4.2\times10^{5}\ \text{s}^{-1},$$ so $k(T)=4.2\times10^{5}\exp(-5635/T)$ reproduces all four tabulated values within 3%.
Adiabatic operating line. With constant properties the batch energy balance $\rho c_p\,dT=(-\Delta H_r)(-dC_A)$ integrates to a straight $T$–$X$ relation $$T=T_0+\Delta T_\text{ad}\,X,\qquad \Delta T_\text{ad}=\frac{(-\Delta H_r)\,C_{A0}}{\rho c_p}.$$ Numerically (J/mol, mol/m³, kg/m³, J/kg·K) $$\Delta T_\text{ad}=\frac{(210{,}000)(300)}{(1070)(3800)}=\boxed{15.5\ \text{K}.}$$ At $X=0.8$ the mixture has warmed by $0.8\times15.5=12.4$ K, from 15 °C to about 27.4 °C — inside the tabulated range, so $k(T)$ is an interpolation throughout.
Batch design equation. For first order, $\dfrac{dX}{dt}=k(T)\,(1-X)$, so $$t=\int_0^{0.80}\frac{dX}{k\big(T(X)\big)\,(1-X)},\qquad T(X)=288.15+15.5\,X.$$
Integrate. Carrying $k(T)$ along the rising adiabatic line ($k$ climbs from $1.35\times10^{-3}$ at $X=0$ to $3.02\times10^{-3}$ s$^{-1}$ at $X=0.8$) and integrating numerically (trapezoidal rule, fine grid; interpolating the table directly instead of using the Arrhenius fit gives 733 s), $$t_\text{adiabatic}=\boxed{736\ \text{s}\approx12.3\ \text{min}.}$$
Isothermal benchmark. Had the reactor been held at the 15 °C charge temperature, $t=\dfrac{\ln[1/(1-0.8)]}{k(15\,{}^\circ\text{C})}=\dfrac{\ln5}{1.34\times10^{-3}}=1201\ \text{s}=20.0\ \text{min}.$ The 12 K self-heating more than doubles $k$ by the end of the run and cuts the batch time by about 39% relative to isothermal operation.