30.06.2013 Views

ดาวน์โหลด All Proceeding - AS Nida

ดาวน์โหลด All Proceeding - AS Nida

ดาวน์โหลด All Proceeding - AS Nida

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

3. Experiments<br />

The objective function was defined by considering the ratio<br />

of the heat duty of the reboiler (Q R1+Q R2) and the specified production<br />

of ethanol (D) [3]. The volume fraction of the ethanol was fixed at 0.95<br />

at top of the rectifying column. The objective function was inserted by<br />

means of the Aspen HYSYS ® .<br />

The procedure starts with the simulation of conventional<br />

distillation column and heat integrated distillation column which uses<br />

data as shown in Table 1 respectively. The total amount of heat rejected<br />

from the mash column (Q R1) and rectifying column (Q R2) will be<br />

compared.<br />

Table 1. Data for simulation conventional and heat integrated<br />

distillation column<br />

Paramters Value<br />

Feed flow rate (F), kmol/h 2335<br />

Number of stages for mash column (N1) 17<br />

Feed stage to mash column (NF1) 6<br />

Number of stages for rectifying column (N2) 25<br />

Feed stage to rectifying column (NF2) 13<br />

Mash feed temperature (TF), o C 30<br />

Volume fraction of ethanol in mash feed (ZF) 0.08<br />

Volume fraction of ethanol in distillate of mash column (XD1) 0.6<br />

Volume fraction of ethanol in distillate of rectifying column (XD2) 0.95<br />

Reflux ratio mash column (R1) 3<br />

Reflux ratio rectifying column (R2) 200<br />

And then the simulation uses to design optimized process for<br />

heat integrated distillation column [4]. A simple procedure is shown in<br />

Fig 4.<br />

1. Conduct the design of the heat integrated distillation column :<br />

determine the number of stages, feed location, feed flow rate, feed<br />

temperature, mole fraction of feed in, output flow rate, mole fraction of<br />

output and reflux ratio.<br />

2. Sensitivity test : evaluate the influence of the main variables and to<br />

decide which variable should be manipulated.<br />

3. Simulate to optimize energy consumption : vary the main variables<br />

which get from sensitivity test as shown in Table.2 (Reflux ratio of<br />

mash column (R 1), volume fraction of ethanol in distillate of mash<br />

column (X D1) and distillate flow rate of rectifying column (D 2)) [5-6].<br />

158<br />

4. Compare and conclude for the optimized design – min Q R/D<br />

Conduct the design of the<br />

heat integrated distillation<br />

column<br />

Sensitivity test (R 1, R 2, X D1,<br />

feed stage and D 2)<br />

Simulate to optimize energy<br />

consumption (by vary R 1,<br />

X D1 and D 2)<br />

Compare and conclude for<br />

optimized design<br />

min Q R/D<br />

Obtain the optimization<br />

process<br />

Fig. 4 Procedure for design optimized process<br />

for heat integrated distillation column<br />

QR = QR1 + QR2 5. Obtain the optimization process<br />

(1)<br />

Table 2. Design of experiment to design optimized process for heat<br />

integrated distillation column<br />

Case R1 XD1 D2 (kmol/h)<br />

1 0.5 0.7 60<br />

2 0.5 0.8 60<br />

3 0.5 0.7 70<br />

4 0.5 0.8 70<br />

5 1 0.7 60<br />

6 1 0.8 60<br />

7 1 0.7 70<br />

8 1 0.8 70

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!