Energy Conservation in Process Industries
by:Dr.James Varghese
Mechanical Engineering,School of Engineering
Cochin University of Science and Technology
Outline
Process Process energy requirement PTA Heat exchanger network synthesis Network approach temperature optimization
Chemical process plantA chemical plant is an industrial process plant
that manufactures (or otherwise processes) chemicals, usually on a large scale. The general objective of a chemical plant is to create new material wealth via the chemical or biological transformation and or separation of materials.
In a plant, each of the unit operations commonly occur in individual vessels or sections of the plant called units.
http://en.wikipedia.org/wiki/Chemical_process
Chemical process design
ProcessesReactions, separations, Mixing, pressure change ,heating, cooling, etc
Raw materials Products
Cold stream: Need to be heated (supply heat)
Hot stream: Need to be cooled (remove heat)
Energy, how much ?
Chemical reaction energy requirements
Reactor2
R1
R2
P1
20 155
Q
15
112
45
65
Q
175
125
Energy targeting
What is the minimum heat to be supplied (hot utility), heat to be removed (cold utility) ?Heat exchanger network design ?
10175
Mcp
40112
125
155 20
65
45
40
20
15
1300
2400
1080
2700
3700
3780
Q
Q
4565
125
0 1000 2000
Heat (kW)
Tem
pera
ture
(K) H1(10)
H2(40)
Hot composite curve (HCC)
0 1000 2000
Heat (kW)
H1(10)
H1(10)
H1+H2(10+40)
3000
175
Add MCp of streams in the same temperature range
4565
125
Heat (kW)
Tem
pera
ture
(K) H1(10)
H2(40)
Hot composite curve (HCC)
0
Heat (kW)
H1(10)
H1(10)
H1+H2(10+40)
175
0 1000 2000 0 1000 2000 3000
Cold composite curves
0 2000 4000
Heat (kW)
Tem
pera
ture
(K)
C3(20)
C4(15)
0 2000 4000
Heat (kW)
Tem
pera
ture
(K)
C3(20)
C3+C4(20+15)
C4(15)
4565
125
175
Grand composite curve (GCC)
250
350
450
550
0 1000 2000 3000 4000 5000 6000Heat (kW)
Tem
pera
ture
(K)
cold utility required
70K
HCC
CCC
30K
Hot utility required
Pinch
Minimum approach Tmin increases Heat load increases
Algorithm – Problem table algorithm (PTA)
Targeting
0
heat (kW)
Tem
pera
ture
(K)
cold utility required
HCC
CCC
30K
Hot utility required
Pinch
The composites can be moved laterally
4565
125
175
Process to process heat recovery
Minimum approach temperature increased
0
heat (kW)
Tem
pera
ture
(K)
cold utility required
HCC
CCC
70K
Hot utility required
Pinch
The hot utility and cold utility increased Process to process heat recovery reducedHeat exchanger cost reducedTrade –off between energy and capital to optimize the minimum approach temperature
4565
125
175
Energy targeting
10175
Mcp
40112
125
155 20
65
45
40
20
15
Problem Table Algorithm Assume ∆T, Ex: 20 º C Step 1: ∆T/2 is subtracted from
hot stream and ∆T/2 is added to cold stream temperature
Step 2: These shifted temperatures are sorted in descending order
Interval Tint ºC
0123456
175-10,155+10 =165112+10=122125-10=115
65-10=5540+10=5045-10=3520+10=30
Hot stream 175 45125 65
Cold stream 20 15540 112
Problem Table AlgorithmInterval Tint ºC
0123456
16512211555503530
Step4: Calculate net Mcp in each interval
Mcp,int= ƩMcp,c- ƩMcp,h Step 5: Calculate
enthalpy in each interval Qint= Mcp,int x Temp.diff
for that interval
Mcp,int Qint,KW
01025-15251020
0430175-900125150100
Hot stream 165 35 10115 55 40
Cold stream 30 165 2050 122 15
Problem Table Algorithm
Interval Tint ºC Mcp,int Qint,KW
0123456
16512211555503530
01025-15251020
0430175-900125150100
Step6: Calculate cascaded heat, subtract net enthalpy from the previous interval, Qcas
Step 7: Most negative Qcas in each interval is subtracted from each value in that column
R,cas = Q, cas – min(Qcas)
Q,cas, kW
R,cas, kW
0-430-60529517020-80
605175
0900775625525
Grand composite curve (GCC)
Useful to fix the utility levelsProblem Table Algorithm (PTA) method (Linnhoff and Flower, 1978)
0 100 200 300 400 500 600 700 800 900 10000
20
40
60
80
100
120
140
160
180
Hot Utility required
Cold Utility required
Grand composit curve
Pinch
Heat exchanger network meeting the energy target
Important Pinch Design Criteria Number Criterion
No utility cooling above the pinch Every hot stream must be brought to its pinch temperature by cold stream Nh ≤ Nc above the pinch Nh ≥ Nc below the pinch If the above condition is not satisfied then stream splitting is necessary
MCp Criterion MCp, h ≥ MCp, c above the pinch MCp, h ≤ MCp, c below the pinch If the above condition is not satisfied then stream splitting is necessary
Energy targeting
10175
Mcp
40112
125
155 20
65
45
40
20
15
125
105
Divides the problem into two – Above the pinch and Below the pinch
Energy targeting above pinch
10175
Mcp
40112
125
20
65
45
40
20
15
125
105
105
105
2.1
7.9
605 395
124.75155
H
Satisfies number criterion – not MCp criterion – so split the streams
Energy targeting
10175
Mcp
40
112
125
155 20
65
45
40
20
15
125
105Satisfies number criterion – MCp criterion not satisfied – so split the streams
975
Mc-23.75
Mc-16.25
1425
Mc-16.77
105
Mc-3.23275
97.5
525
Network for 20ºC minimum T
• Heat exchanger network synthesized based on pinch principles meeting the target set.• Further simplifications possible using the network evolution principles.
3780
370010
175Mcp
40
112
125
155 20
65
45
40
20
15
125
105 975
Mc-23.75
Mc-16.25
1425
Mc-16.77
105
Mc-3.23275
97.5
525
605
H
7.9
124.75
105
2.1
395
Total Annualised Cost
Cost of heat exchanger
Operating cost
Capital recovery factor
TAC = CRF x Chx + Copr
111
nn
i)+(i)+i(=CRF
Optimum temperature differenceC
ost $
/Yea
r
Tmin
TAC
Energy
Capital
References The pinch design method for heat exchanger networks, Linnhoff, B.
and E. Hindmarsh, Chem. Eng. Sci., 38(5), 745–763 (1983) Understanding heat exchanger networks, Linnhoff, B., E. Mason, and I.
Wardle, Comp.Chem. Eng., 3, 295–302 (1979). Heat Exchanger Network Synthesis: Process Optimization by Energy
and Resource Analysis, Uday V. Shenoy, Gulf Professional Publishing, 1995
J. Varghese and S. Bandyopadhyay, Fired Heater Integration into Total Site and Multiple Fired Heater Targeting, Applied Thermal Engineering, 42, 111-118, 2012.
J. Varghese and S. Bandyopadhyay, Improved area—energy targeting for
fired heater integrated heat exchanger networks, Chemical Engineering Research and Design, 90, 213–219, 2012.
Korobeinikov, A. and McCarthy, J. and Melnik, A. and Mooney, E. and
Rojas, J. and Semkov, K. and Varghese, J. and Zhelev, T, Model based methodology development for energy recovery in ash heat exchange systems Mathematics in Industry, http://www.maths-in-industry.org/miis/567/ , 2012.
References… contd.S. Bandyopadhyay ,J. Varghese and V Bansal, Targeting for cogeneration potential
through total site integration, Applied Thermal Engineering, 30 , 6–14, 2010. J. Varghese and S. Bandyopadhyay, Energy integration of fired heaters into overall
processes,International Journal of Environment and Sustainable Development (IJESD) Vol. 8, No. 1, 36-59, 2009.
J. Varghese and S. Bandyopadhyay, Targeting and Integration of Total Site, 11th Conference on Process Integration, Modeling and Optimisation for Energy Saving and Pollution Reduction (PRES 2008) in conjunction with 18th International Congress of Chemical and Process Engineering (CHISA), Praha, Czech Republic, August 24-28, 2008.
J. Varghese and S. Bandyopadhyay, Integration of multiple fired heaters into the process and network synthesis, Ind. Eng. Chem. Res. 46, 5631-5644, 2007.
J. Varghese and S. Bandyopadhyay, Integration of fired heaters into total site, 19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2006),Crete, Greece,Vol 2,715-722, 12-14 July, 2006.
J. Varghese and S. Bandyopadhyay, Targeting for energy integration of multiple fired heaters, 19th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2006),Crete, Greece,Vol 2, 723-730, 12-14 July, 2006.
J. Varghese and S. Bandyopadhyay, Energy integration of fired heater, Proceedings of International Mechanical Engineering Conference (IMEC-2004), Kuwait, Book 2, 30-46, December 5-8, 2004.