1. The stream data extracted from a specified section of a chemical process are given in Table 1 below.
Table 1: Stream Data
Stream
Supply Temperature
TS
(oC)
Target Temperature
TT
(oC)
Heat Duty
(MW)
No
Type
H1
H2
H3
C1
C2
Hot
Hot
Hot
Cold
Cold
150
40
130
150
50
30
40
100
150
140
7.2
10
3
10
3.6
You are required to perform a heat recovery analysis for the plant section stated above. Given the Tmin for the process is 10 oC, conduct the Problem Table Algorithm and determine the pinch temperature and the minimum utilities requirement.
From the Heat Cascade, sketch the Grand Composite Curve. Explain briefly the importance of the Grand Composite Curve in designing multiple utilities.
If the Tmin is increased to 20 oC, what would you expect to happen to the minimum utilities requirement? Explain your answer using simple sketch of composite curves.
2. FIGURE 1 shows an absorber-stripper section of a process plant where a number of four streams have been identified for heat integration.
FIGURE 1: Absorber-stripper process area
T and H represent the stream temperature and stream enthalpy, respectively. The index S and T refer to supply and target data. It is desired to do heat integration for the absorber-stripper process.
a. Extract the data for all the four streams to be integrated and identify the stream type and the heat capacity flow rate, CP.
b. For Tmin = 20oC, use the problem table algorithm (PTA) to determine the target for minimum external heating, QH,min, and minimum external cooling, QC,min, along with the “pinch” temperature for the hot and cold stream composites.
c. Use the energy targets from part (b) to design a heat exchanger network that achieves maximum energy recovery (MER).
3. You are leading a group of process engineers working for an established