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Co m b i n e d P r o c e s s I n t e g r a t i o n a n d O p t i m i z a t i o n 179
S00
E1
C1 G1
S11 S05
S52 S51 S16 S03
B1 B2 S1 B3 B4 D2 D1
S01
S53 S54 S07 S06 S13
S08
S43 S46 S43
D5 D7 D9 D11 S34 D17 D13 D14 D21 A2 D3 A1
D15 S36 D19 D25 D27
S15 S17 S32 S33 S35 S37 S44 S48 S49
S31 S38 S39 S40 S45 S02
D20 D28 D29
D6 D8 D10 D12 D16 D18 D22 D26
S09
S19
S20
FIGURE 8.10 P-graph representation of the maximal structure for producing
butanol, ethanol, and acetone with the inclusion of adsorption.
S09 S20
[A 7] [E 2]
S08 S39 S00
D21 D22
A 7
E 2 3(G1)
W 26 S40 S19
[B 26] S05 S01
A 11
E 3 B3 B4 25-1(B3) 25-2(B4)
W 35
B 26
S08 S54
S05
S54 20-1(D21)
S00
G1
A 4
S01 E 1 S09 S40
A 11 W 35 Legend: S39 20-2(D22)
E 4
W 1773 E 1 Acetone: A kg/h
B 27 W 1738 Butanol: B kg/h S20 S19
B 1 Ethanol: E kg/h
Water: W kg/h
FIGURE 8.11 Optimal fl owsheet for the example considering adsorption.
8.5 Optimal Scheduling for Increased Throughput,
Profit, and Security
8.5.1 Maximizing Throughput and Revenue
Majozi and Friedler (2006) developed an effective search algorithm
for determining the globally optimal throughput, revenue, or profit
over a predefined time horizon in multipurpose batch plants on the
basis of the S-graph framework. To demonstrate its performance, a