Dynamic Simulation of Continuous Fermentor
Biochemical Engineering
Problem Statement:
The following equations describe a continuous bioreactor.
dx
-- = (μ-D)*x
dt
ds μ*x
-- = D*(sf-s) - ---
dt Y
where μ(s)=0.3*s/(50+s+0.01*s2) Y(s)=0.004+0.001*s sf=200
s in (g/liter) and μ in (h-1)
Dynamically simulate the continuous fermentor at several
operating conditions:
| Case | Dilution Rate D (h-1) | Substrate Feed sf (g/L) | Initial Conditions | Comments
|
|---|
| Biomass | Substrate
|
| b | 0.05 | 100 | 5 | 30 | Reference
|
| a | 0.10 | 100 | 5 | 30 | Increase D
|
| c | 0.01 | 100 | 5 | 30 | Decrease D
|
| d | 0.05 | 200 | 5 | 30 | Increase sf
|
| e | 0.05 | 50 | 5 | 30 | Decrease sf
|
| f | 0.10 | 200 | 5 | 30 | Increase both D & sf
|
| g | 0.05 | 200 | 3 | 30 | Change I.C.
|
This problem tries to demonstrate several points. First, from
Cases b and f, we see that steady-state is not always achieved;
thus, the preceeding problem, which asks the maximum
cell productivity with sf=200 g/L, is just an
academic excercise. Second, from Cases f and g, we see that the
bioreactor approaches different operating points depending on the
initial condition; thus, how we start up a bioreactor may be
important. Third, from Cases a and b, we see that high values of
D tend to make this system oscillate more. Predicting the
dynamic microbial behavior is not always intuitive even for a
simple system. We see different behaviors from computer-aided
dynamic simulation, and a mathematical package like Mathcad makes
it easy for us to explore.
Solution:
- Solution for the given set of parameters
- /w Different D and sf
- /w "Euler & Kutta's Methods
- Excel
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Biochemical Engineering -- Dynamic Simulation of Continuous Fermentor
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- Nam Sun Wang
- Department of Chemical & Biomolecular Engineering
- University of Maryland
- College Park, MD 20742-2111
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e-mail: nsw@umd.edu
©1996-2007 by Nam Sun Wang
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