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Chemical Reactor Continuous Yield Optimization (Chemical & Environmental Engineering) Solution

Formulas & Definitions

An environmental chemical process engineer at the UNLV Howard R. Hughes College of Engineering is designing a continuous fixed-bed catalytic reactor column to remove toxic volatile organic compounds (VOCs) from industrial flue gas emissions.

The active catalyst bed is contained within a 3D spatial prism EEE with dimensions in meters (m\text{m}m):

2y≀x≀2,0≀y≀1,1≀z≀42y \le x \le 2, \quad 0 \le y \le 1, \quad 1 \le z \le 42y≀x≀2,0≀y≀1,1≀z≀4
with volumetric reaction rate density R(x,y,z)=ex2zΒ mol/(m3β‹…hr)R(x, y, z) = \frac{e^{x^2}}{z}\text{ mol}/(\text{m}^3\cdot\text{hr})R(x,y,z)=zex2​ mol/(m3β‹…hr).

Step-by-Step Solution:

  1. Analytical Obstacle in the Given Order:
    In the given order:

    Y=∫14∫01∫2y2ex2z dx dy dzY = \int_{1}^{4} \int_{0}^{1} \int_{2y}^{2} \frac{e^{x^2}}{z} \, dx \, dy \, dzY=∫14β€‹βˆ«01β€‹βˆ«2y2​zex2​dxdydz
    the innermost integral requires evaluating ∫ex2 dx\int e^{x^2} \, dx∫ex2dx. As established in calculus, the function ex2e^{x^2}ex2 does not possess an elementary antiderivative (its antiderivative is expressible only via the non-elementary error function erfi(x)\text{erfi}(x)erfi(x)). Closed-form analytical evaluation in the order dx dy dzdx \, dy \, dzdxdydz is therefore impossible.

  2. Re-slice the Planar Shadow Domain:
    State the Re-slicing Protocol in the Projection Plane (defined in Changing the Order of Integration in Triple Integrals):

    • The outer variable zzz is independent of xxx and yyy, remaining bounded on the interval:
      1≀z≀41 \le z \le 41≀z≀4
    • In the xyxyxy-plane, the region is bounded by the line x=2yx = 2yx=2y, the vertical line x=2x = 2x=2, and the lower boundary y=0y = 0y=0.
    • Invert the boundary function by solving for yyy in terms of xxx:
      x=2yβ€…β€ŠβŸΉβ€…β€Šy=x2x = 2y \implies y = \frac{x}{2}x=2y⟹y=2x​
    • When y=0y = 0y=0, x=0x = 0x=0; when y=1y = 1y=1, x=2x = 2x=2.
    • Thus, for a vertical slice in the new order (dy dxdy \, dxdydx), yyy enters at y=0y = 0y=0 and exits at y=x2y = \frac{x}{2}y=2x​, while xxx spans the constant interval:
      0≀y≀x2,0≀x≀20 \le y \le \frac{x}{2}, \quad 0 \le x \le 20≀y≀2x​,0≀x≀2
  3. Formulate the Reordered Triple Integral:
    Reorder the integration differentials to dy dx dzdy \, dx \, dzdydxdz:

    Y=∫14∫02∫0x/2ex2z dy dx dzY = \int_{1}^{4} \int_{0}^{2} \int_{0}^{x/2} \frac{e^{x^2}}{z} \, dy \, dx \, dzY=∫14β€‹βˆ«02β€‹βˆ«0x/2​zex2​dydxdz

  4. Evaluate the Reordered Triple Integral:

    Evaluate inner yyy-integral:
    Treat xxx and zzz as constants:

    ∫0x/2ex2z dy=[ex2zy]0x/2=ex2z(x2)=xex22z\int_{0}^{x/2} \frac{e^{x^2}}{z} \, dy = \left[ \frac{e^{x^2}}{z} y \right]_{0}^{x/2} = \frac{e^{x^2}}{z} \left(\frac{x}{2}\right) = \frac{x e^{x^2}}{2z}∫0x/2​zex2​dy=[zex2​y]0x/2​=zex2​(2x​)=2zxex2​
    Notice that integrating with respect to yyy has produced the algebraic factor xxx, which immediately unlocks uuu-substitution for the next layer.

    Evaluate middle xxx-integral:

    ∫02xex22z dx=12z∫02xex2 dx\int_{0}^{2} \frac{x e^{x^2}}{2z} \, dx = \frac{1}{2z} \int_{0}^{2} x e^{x^2} \, dx∫02​2zxex2​dx=2z1β€‹βˆ«02​xex2dx
    Apply uuu-substitution: let u=x2β€…β€ŠβŸΉβ€…β€Šdu=2x dxβ€…β€ŠβŸΉβ€…β€Šx dx=du2u = x^2 \implies du = 2x \, dx \implies x \, dx = \frac{du}{2}u=x2⟹du=2xdx⟹xdx=2du​.
    When x=0,u=0x = 0, u = 0x=0,u=0; when x=2,u=22=4x = 2, u = 2^2 = 4x=2,u=22=4.
    12z∫0412eu du=14z[eu]04=e4βˆ’14z\frac{1}{2z} \int_{0}^{4} \frac{1}{2} e^u \, du = \frac{1}{4z} [e^u]_{0}^{4} = \frac{e^4 - 1}{4z}2z1β€‹βˆ«04​21​eudu=4z1​[eu]04​=4ze4βˆ’1​

    Evaluate outer zzz-integral:

    Y=∫14e4βˆ’14z dz=e4βˆ’14∫141z dz=e4βˆ’14[ln⁑∣z∣]14Y = \int_{1}^{4} \frac{e^4 - 1}{4z} \, dz = \frac{e^4 - 1}{4} \int_{1}^{4} \frac{1}{z} \, dz = \frac{e^4 - 1}{4} \Big[ \ln |z| \Big]_{1}^{4}Y=∫14​4ze4βˆ’1​dz=4e4βˆ’1β€‹βˆ«14​z1​dz=4e4βˆ’1​[ln∣z∣]14​
    Y=e4βˆ’14(ln⁑4βˆ’ln⁑1)=(e4βˆ’1)ln⁑44=(e4βˆ’1)ln⁑22Β mol/hrY = \frac{e^4 - 1}{4} (\ln 4 - \ln 1) = \frac{(e^4 - 1)\ln 4}{4} = \frac{(e^4 - 1)\ln 2}{2}\text{ mol/hr}Y=4e4βˆ’1​(ln4βˆ’ln1)=4(e4βˆ’1)ln4​=2(e4βˆ’1)ln2​ mol/hr

    Using numerical approximations (e4β‰ˆ54.598,ln⁑4β‰ˆ1.3863e^4 \approx 54.598, \ln 4 \approx 1.3863e4β‰ˆ54.598,ln4β‰ˆ1.3863):

    Yβ‰ˆ(53.598)(1.3863)4β‰ˆ18.57Β mol/hrY \approx \frac{(53.598)(1.3863)}{4} \approx 18.57\text{ mol/hr}Yβ‰ˆ4(53.598)(1.3863)β€‹β‰ˆ18.57Β mol/hr

Meaning of the Answer & Real-Life Application:

  • Quantitative Interpretation: The total chemical conversion capacity of the fixed-bed catalytic reactor is exactly (e4βˆ’1)ln⁑44Β mol/hrβ‰ˆ18.57Β mol/hr\frac{(e^4 - 1)\ln 4}{4}\text{ mol/hr} \approx 18.57\text{ mol/hr}4(e4βˆ’1)ln4​ mol/hrβ‰ˆ18.57Β mol/hr.
  • Engineering Application: In chemical plant and environmental process design, analytical solutions allow engineers to perform rapid parametric sensitivity analysisβ€”such as varying bed length LLL, width WWW, and column height HHHβ€”to determine the optimal reactor size required to achieve 99.9%99.9\%99.9% pollutant destruction efficiency without solving expensive 3D Navier-Stokes numerical grids for every geometric iteration.