Modeling and Optimization of a Crude Distillation Unit: a case Study for Undergraduate Students


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Modeling and optimization of a crude dis

Table 10 Optimization Process
Variable
Value
LSR flow (lb mol/h)
STAB. LSR flow (lb mol/h)
WET-GAS flow
0 lb mol/h
1190.0
988.2
Reflux rate of C1
19.7 mol
1036.6
927.2
OFF-GAS temperature
129.8

F
989.3
882.7
STEAM flow
14671.8 lb/h
1002.6
894.4
STEAM-1 flow
8830.8 lb/h
998.0
890.1
STEAM-2 flow
7369.2 lb/h
996.9
889.0
STEAM-3 flow
2444.4 lb/h
992.1
884.4
WET-GAS flow and STEAM flow
0 lb mol/h, 14610.6 lb/h
1202.6
1000.5
Reflux rate of C1 and STEAM flow
20 mol, 14941.8 lb/h
1039.2
929.7
Reflux rate of C1 and WET-GAS flow
18.8 mol, 0 lb mol/h
1234.8
1032.4
STEAM flow and OFF-GAS temperature
821.8 lb mol/h, 129.1

F
1002.7
895.5
STEAM flow
14994.0 lb/h
1237.0
1034.5
WET-GAS flow and Reflux rate of C1
0 lb mol/h, 16.3 mol
STEAM flow
14986.8 lb/h
1013.8
905.3
STEAM-1 flow
8992.8 lb/h
STEAM-2 flow
7493.4 lb/h
STEAM-3 flow
2439.0 lb/h
STEAM flow
14986.8 lb/h
1238.2
1035.7
STEAM-1 flow
8191.8 lb/h
STEAM-2 flow
6208.2 lb/h
STEAM-3 flow
939.6 lb/h
Reflux rate of C1 and
19.4 mol
WET-GAS flow
0 lb mol/h
STEAM flow
14986.8 lb/h
1238.5
1037.1
STEAM-1 flow
8897.4 lb/h
STEAM-2 flow
7297.2 lb/h
STEAM-3 flow
1112.4 lb/h
Reflux rate of C1
19.9 mol
WET-GAS flow and
0 lb mol/h
OFF-GAS temperature
126.0

F


10
GARC´IA-HERREROS AND G ´
OMEZ
Table 11 Relevance of the Project for ABET Outcomes
Course
1 : 23surveys
Course
2 : 16surveys
ABET outcomes
Ability to apply knowledge of mathematics, science, and engineering
3.61
3.69
Ability to design a system, component, or process to meet desired needs within realistic constraints
3.57
3.69
Ability to identify, formulate, and solve engineering problems
3.70
3.63
Ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
3.65
3.63
Other values of manipulated variables out of the established
range are not expected to produce greater values in the objective
function. This should confirm that the optimum find is the maxi-
mum of the region studied and its surroundings and suggests that
it is likely that larger values of the objective function may not be
obtained even outside the range of study. This process of opti-
mization shows very positive results increasing the Stab-LSR flow
around 17.55%, which is a significant improvement in production.
The results obtained in the optimization process are shown
in Table 10.

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