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Gas Processing Journal Vol. 4, No.1 , 2016 http://gpj.ui.ac.ir ___________________________________________ * Corresponding Author. Authors’ Email Address: 1 Bahram Ghorbani ([email protected]), 2 Mohammad-Hossein Hamedi ([email protected]), 3 Majid Amidpour ([email protected]) ISSN (Online): 2345-4172, ISSN (Print): 2322-3251 © 2016 University of Isfahan. All rights reserved Exergoeconomic Evaluation of an Integrated Nitrogen Rejection Unit with LNG and NGL Co-Production Processes Based on the MFC and Absorbtion Refrigeration Systems Bahram Ghorbani* 1 , Mohammad-Hossein Hamedi 2 , Majid Amidpour 3 1,2 Mechanical Engineering Faculty, Energy Conversion Group, KNToosi University of Technology, Tehran, Iran 3 Mechanical Engineering Faculty, Energy System Group, KNToosi University of Technology, Tehran, Iran Article History Received: 21/08/2016 Revised: 09/09/2016 Accepted: 22/09/2016 Publish Online: 25/09/2016 Abstract Natural gas is associated with nitrogen and heavy compounds. These heavy components in the natural gas not only can feed downstream units, owing to the low temperature process, but may be formed solid as well. Heavy components separation is a necessity and can they produce useful products. All natural gases contain nitrogen which lower theirheating value. Removing nitrogen from natural gas at a concentration of more than 4% is essential. Integration of the natural gas liquids (NGL), liquefied natural gas (LNG) and nitrogen rejection unit processes is an effective procedure which can reduce the required refrigeration. A new mixed fluid cascade natural gas liquefaction process is assessed here through the exergy and exergoeconomic analysis methods. One of the vapor compression cycles is replaced with a water-ammonia absorption refrigeration cycle. The results include cost of exergy, exergoeconomic factor, exergy and exergy efficiency. Results of exergoeconomic analysis indicates that the maximum exergoeconomic factor, 89.49%, is related to the HX8 in the water-ammonia absorption refrigeration cycle and the minimum exergoeconomic factor, 0.0026%, is related to the HX2 in the liquefaction cycle. In this process, the fourthcompressor has the highest exergy destruction cost of (5750307$/hr) and HX8 in the absorption refrigeration cycle has the lowest exergy destruction cost of (2.033 $/hr). Due to the high value of fuel cost in compressor, their exergy destruction cost is much higher than other devices. Keywords LNG/NGL/NRU, MFC, Absorption Refrigeration, Exergoeconomic 1. Introduction Natural gas contains heavy ingredients and nitrogen. According to negative influence of nitrogen on fuel heating value, it is necessary to remove the nitrogen of more than 4% concentration from natural gas streams. Liquefied natural gas plants are increasing in number because of the growing demand for natural gas (Alabdulkarem, Mortazavi, Hwang, Radermacher, & Rogers, 2011). Gas is widely recognized as a clean and economical energy source because of its low carbon intensity and relatively low price in comparison with other fossil fuel types (Wang, Khalilpour, & Abbas, 2014). The LNG facilities are equipped with an intermediate pressure distillation column for recovery ethane and heavier components from the processed natural gas stream in a manner where surges operational and capital costs remain unchanged. (Ransbarger, 2006).Value of the SPE changes from 0.2 to 0.6 kW/kg LNG and at large scale liquefaction processes it ranges from 0.4 to 0.25. However increasing this value decreases the operating cost of the plant, while the process configuration and number of the equipment is another important
Transcript

Gas Processing Journal

Vol. 4, No.1 , 2016

http://gpj.ui.ac.ir

___________________________________________

* Corresponding Author. Authors’ Email Address: 1 Bahram Ghorbani ([email protected]), 2Mohammad-Hossein Hamedi ([email protected]),

3 Majid Amidpour ([email protected])

ISSN (Online): 2345-4172, ISSN (Print): 2322-3251 © 2016 University of Isfahan. All rights reserved

Exergoeconomic Evaluation of an Integrated Nitrogen Rejection

Unit with LNG and NGL Co-Production Processes Based on the

MFC and Absorbtion Refrigeration Systems

Bahram Ghorbani*1, Mohammad-Hossein Hamedi2, Majid Amidpour3 1,2 Mechanical Engineering Faculty, Energy Conversion Group, KNToosi University of

Technology, Tehran, Iran 3Mechanical Engineering Faculty, Energy System Group, KNToosi University of Technology,

Tehran, Iran

Article History Received: 21/08/2016 Revised: 09/09/2016 Accepted: 22/09/2016 Publish Online: 25/09/2016

Abstract

Natural gas is associated with nitrogen and heavy compounds. These heavy components in the

natural gas not only can feed downstream units, owing to the low temperature process, but may be

formed solid as well. Heavy components separation is a necessity and can they produce useful

products. All natural gases contain nitrogen which lower theirheating value. Removing nitrogen from

natural gas at a concentration of more than 4% is essential. Integration of the natural gas liquids

(NGL), liquefied natural gas (LNG) and nitrogen rejection unit processes is an effective procedure

which can reduce the required refrigeration. A new mixed fluid cascade natural gas liquefaction

process is assessed here through the exergy and exergoeconomic analysis methods. One of the vapor

compression cycles is replaced with a water-ammonia absorption refrigeration cycle. The results

include cost of exergy, exergoeconomic factor, exergy and exergy efficiency. Results of exergoeconomic

analysis indicates that the maximum exergoeconomic factor, 89.49%, is related to the HX8 in the

water-ammonia absorption refrigeration cycle and the minimum exergoeconomic factor, 0.0026%, is

related to the HX2 in the liquefaction cycle. In this process, the fourthcompressor has the highest

exergy destruction cost of (5750307$/hr) and HX8 in the absorption refrigeration cycle has the lowest

exergy destruction cost of (2.033 $/hr). Due to the high value of fuel cost in compressor, their exergy

destruction cost is much higher than other devices.

Keywords

LNG/NGL/NRU, MFC, Absorption Refrigeration, Exergoeconomic

1. Introduction

Natural gas contains heavy ingredients and

nitrogen. According to negative influence of

nitrogen on fuel heating value, it is necessary

to remove the nitrogen of more than 4%

concentration from natural gas streams.

Liquefied natural gas plants are increasing in

number because of the growing demand for

natural gas (Alabdulkarem, Mortazavi, Hwang,

Radermacher, & Rogers, 2011). Gas is widely

recognized as a clean and economical energy

source because of its low carbon intensity and

relatively low price in comparison with other

fossil fuel types (Wang, Khalilpour, & Abbas,

2014). The LNG facilities are equipped with an

intermediate pressure distillation column for

recovery ethane and heavier components from

the processed natural gas stream in a manner

where surges operational and capital costs

remain unchanged. (Ransbarger, 2006).Value

of the SPE changes from 0.2 to 0.6 kW/kg LNG

and at large scale liquefaction processes it

ranges from 0.4 to 0.25. However increasing

this value decreases the operating cost of the

plant, while the process configuration and

number of the equipment is another important

2 Gas Processing Journal

GPJ

factor which can affect the capital costs of the

plant significantly (Ghorbani, Hamedi, &

Amidpour, 2016; Ghorbani, Hamedi, Amidpour,

& Mehrpooya, 2016). Separation of Methane,

Ethane, Propane, and natural gas liquids

(NGL) from the natural gas is generally carried

out through one of the following alternativ

processes: i) external refrigeration (ER), ii)

turbo expansion TE), iii) JouleeThompson

expansion, and iv) absorption. In many

procedures, a combination of these processes is

applied to improve the energy efficiency or

obtain greater recoveries (Amidpour et al.,

2015; Ghorbani, Mafi, Shirmohammadi,

Hamedi, & Amidpour, 2014; Ghorbani, Salehi,

Ghaemmaleki, Amidpour, & Hamedi, 2012;

Shirmohammadi, Ghorbani, Hamedi, Hamedi,

& Romeo, 2015).

New methods in energy saving have led to the

development of analyses techniques based on

the second law of thermodynamics,

particularly, the concept of exergy. In

exergoeconomic analysis the quality of energy

(exergy) in allocating the production costs of a

process to its products is considered. A general

methodology for this kind of analysis is

presented by Electric Power Research Institute

(Bejan & Tsatsaronis, 1996; Fazelpour, 2015),

known as the Total Revenue Requirement

method (Total Revenue Requirement method).

A systematic method based on a combination of

mathematical methods and thermodynamic

viewpoints are adopted to acquire optimal

design configuration through non-linear

programming techniques (Ghorbani, Mafi,

Amidpour, Nayenian, & Salehi, 2013;

Lashkajani, Ghorbani, Amidpour, & Hamedi,

2016; Mafi, Ghorbani, Salehi, Amidpour, &

Nayenian). A superstructure optimization is

applied for a separation system which includes

distillation column units, heat exchangers and

heat integration (Lashkajani et al., 2016). LNG

production technologies of compression cooling

cycles are applied for cooling. Compression

cooling cycles are widely applied in various

fields, especially in oil and gas industry and

there exist many studies regarding how to

enhance their return. Where theim proved

performance of vapor compression cooling

cycles are applied. In this field the operational

characteristics like pressure, flow rate cooling

and combined cooling are optimized through

studies run by (Ghorbani, Hamedi,

Shirmohammadi, Mehrpooya, & Hamedi, 2016;

Ghorbani, Ziabasharhagh, & Amidpour, 2014;

Salehi et al., 2012).

When the design and integration of the

processes take place in a simultaneous manner,

the number of required equipment and energy

consumption decrease (Ghorbani, Mafi, et al.,

2013; Ghorbani, Maleki, Salehi, Salehi, &

Amidpour, 2013; Ghorbani, Salehi, Amidpour,

& Hamedi, 2012; B Ghorbani, GR Salehi, H

Ghaemmaleki, et al., 2012; Khan & Lee, 2013;

Lashkajani, Ghorbani, Salehi, & Amidpour,

2013a, 2013b). In order to integrate these

units, Conoco Phillips, APCI and Ortloff

Company have introduced new plants. Some

smaller companies have addressed several

patented design limitations in this respect. In

design plants based on ConocoPhillips cascade

cycle], for better separation in the column is

used lean liquid ethane in recycle. Pre-cooling

cycle runs through by pure propane or a

mixture of propane and ethane . The APCI

Company has introduced a method for the

production of these two products where the

kettle type heat exchanger, absorption tower,

and separation and external refrigeration cycle

are applied (Roberts & Brostow, 2005). Ortloff

Company has designed a process based on

recovery NGL process liquefied natural gas

(GSP). Lee et al designed and patented an

integrated process for the production of LNG

and NGL. This process used two columns that

work in different pressure in the NGL recovery.

[After initial cooling gas enter into this section

and the liquid recycle, that must be rich from

heavy hydrocarbons, produce from condensing

of gas exited from second column or

liquefaction section. M.S. Khan et al. analyzed

a new process of KSMR system for the

simultaneous production of natural gas

condensate and NGL. Integrated nitrogen

rejection unit for producing LNG is considered

using dedicated reinjection circuit (Chen, Liu,

Krishnamurthy, Ott, & Roberts, 2015a). In

addition, the integrated nitrogen rejection

process for the production of LNG is carried out

through the intermediate feed gas separator

(Ott, Krishnamurthy, Chen, Liu, & Roberts,

2015) . Integrated nitrogen removal in LNG

production is assessed through the refrigerated

heat pump (Ott, Krishnamurthy, Chen, Liu, &

Roberts, 2015)..As an alternative approach to

improving energy return cycles of absorption

cooling units, LNG can be used as the cooling

agent. Taking advantage of the energy

dissipation properties of absorption cooling

cycles from different parts of the unit is

possible in this cycles (Ghorbani, Salehi,

Esnaashary, & Amidpour, (2012); Mafi,

Ghorbani, Amidpour, & Naynian, (2013);

Salarian, Ghorbani, Amidpour, & Salehi,

(2014)).

Ghorbani et al. developed two integrated NGL-

LNG with nitrogen rejection by C3MR and

MFC refrigeration cycle. This introduced cycle

indicates that, integration due to the reduced

in equipment and increase the efficiency.

Vol. 4, N0. 1, 2016 3

GPJ

In this paper, exergy and exergoeconomic

analyses are applied to recently alternatives

integrated processes for cogeneration of LNG,

NGL and NRU with reasonable energy

consumption and high ethane recovery. Exergy

efficiency and exergy destruction of the process

components are calculated. Next all of the

equipment are sized and cost of them are

calculated with a suitable cost function.

Mathematical modeling of the process is done

in order to finding the exergoeconomic factors.

Exergoeconomic variables, exergy destruction

cost, relative cost difference, exergoeconomic

factor are computed and thermoeconomic

analysis of the process is investigated and

discussed.

2. Process Description

2.1. Conceptual Design

The MFC process consists of three pure

refrigerants of methane, ethylene, and propane

with different boiling temperatures, . First, the

natural gas is cooled up to -25 ºC in the

propane cycle, next up to -86 ºC in the ethylene

cycle; finally, it is liquefied to -160 ºC in the

methane cycle. The MFC process is highly

efficient due to the low shaft power

consumption of the three MRC compressors. A

structure of integrated process consisting of

recycling natural gas liquids, natural gas

liquefaction, and nitrogen removal from an

absorption refrigeration cycle for precooling

and two refrigeration cycle, (multi-component

refrigerant) for cooling and liquefaction are

proposed.

The absorption refrigeration cycle replaced by

compression refrigeration cycle (cycle 400) in

the integrated process of LNG, NGL, and NRU

with the objective to reduce energy

consumption is shown in Fig. (1). Natural gas

feed enters at about 37 ºC and 63.09 bar with a

14000 kg.mol/h flow rate. The Liquid produced

through this process is categorized into three:

Natural gas liquids (1578.8 kgmole/h), liquefied

natural gas (11559.3 kg.mol/h) and Removing

nitrogen (620.7 kg.mol/h). A propane

refrigeration cycle is applied to supply both the

required cooling for NGL recovery and

precooling for the LNG process.

Figure 1. Cascade refrigeration (combined refrigerant and absorption refrigeration) integrated in the NGL-LNG-

NRU consumption structure.

4 Gas Processing Journal

GPJ

2.2. Basic Design The relation between different equipment of

the integrated process of natural gas liquids,

natural gas liquefaction, and denitrification is

shown in Fig. (2). How the alternative

absorption refrigeration system is replaced by

precooling compression cycle (Cycle 400) is

clearly shown in this figure. Inlet feed stream

at 37 C and 63.09 bar enters the multi-stream

heat exchangers HX1 and HX2 and is cooled up

to 8 C and -27 C,respectively. The next

outlet stream, 103, is cooled -41 C. A part of

the required cooling is provided by a three

stage propane refrigeration cycle. The outlet

gas from the NGL recovery unit, 102, is

channeled into the D3 separator. The required

heating for the tower is supplied using three

side streams; side1, side2 and side3 at

approximately 14.5 C ,6.8 C

and -7.4 C,

respectively. These streams exit the column

and enter the multi-stream heat exchangers.

Side1 enters the HX1 heat exchanger and exits

at 35 C. Side1R is named as the backflow and

is marked on the PFD. Side2 and side3 are

channeled into the HX2 and HX3 respectively

and exit the heat exchangers at 0 C and -20

C, respectively. The outlet streams from the

heat exchanger return to the column. De-

ethanizertop gas is channelled to HX4 through

V-5 expansion valve where its temperature

reaches -119 C . Next the stream is ready to

enter the nitrogen rejection unit. Stream 118

containing methane and nitrogen with a

standard volume of about 1.2% from bottom of

the column T200 as the liquid product enters

HX-3 from the bottom. Stream 128 is

channeled to D2 flash drum and the gas

product of this separator returns to the HX-4.

Line 123 is branched into two: branch one,

(88%), stream 126, enters HX4 multi-stream

heat exchanger and its temperature decreases

up to -132 C and turns to liquid. This cooled

liquid passes through an expansion valve

where its pressure and the temperature reach

up to about 25 bar and -131 C. Then it is

channeled to the top of the nitrogen removal

column as washing liquid. Stream 124,

containing 12% of gas output from D2, enters

HX3 as well and is cooled up to -75 C. Next

stream 125 is channeled to column. After

eliminating the ethane plus hydrocarbons and

nitrogen from the gas stream, it is channeled to

the liquefaction section. Stream 129 is

compressed up to 63 bar and enters the HX4

heat exchanger. This stream is first heated up

to -99 C when passing through HX4 and it is

then super-cooled by HX4 super-cooling heat

exchanger up to 63 bar and at -164 C and

eventually becomes the final product after

passing through V8 where the pressure is

reduced to atmospheric pressure, and enters

phase D1. The final product is named LNG

stream which exits from the separator as gas

stream containing a high percentage of

nitrogen in which is channeled back into the

unit. To meet the cooling requirements, pre-

cooling and liquefaction systems are carried out

by applying an absorption refrigeration cycle

for precooling and two refrigeration cycle

(multi-component refrigerant).

Figure 2. Schematic of block flow diagram of the first stage for typical NGL-LNG-NRU plants

Vol. 4, N0. 1, 2016 5

GPJ

Table 1. Thermodynamic data for configuration process of material streams

Stream

no.

Temperature

( C)

Pressure

(kPa)

Flow

(kg.mol/h)

Physical

exergy

(kW)

Chemical

exergy

(kW)

Total

exergy

(kW)

Feed 37 6309 14000 37575.23 6750765.02 6788340.25

101 8 6309 14000 37635.72 6750765.02 6788400.75

102 -27 6309 14000 38762.02 6750765.02 6789527.05

103 -27 6309 13211.4 37226.85 5173680.15 5210907.01

104 -27 6309 788.5 1356.56 1577263.47 1578620.03

105 -27 6309 6605.7 18613.42 2586840.07 2605453.50

106 -27 6309 6605.7 18613.42 2586840.07 2605453.50

107 -66.4 2600 6605.7 16204.49 2586840.07 2603044.57

108 -88 6309 6605.7 23688.3 2586840.07 2610528.37

109 -27 6309 236.5 406.96 473179.04 473586.01

110 -27 6309 551.9 949.59 1104084.43 1105034.02

111 -30.43 2550 551.9 798.15 1104084.43 1104882.58

112 -50 6309 236.5 471.42 473179.04 473650.46

113 -51.2 2500 236.5 408.39 473179.04 473587.43

114 -102.3 2500 6605.7 22948.07 2586840.07 2609788.15

115 -98.9 2500 12421.1 32367.89 2716170.75 2748538.64

116 -113.3 1379 12421.1 28589.66 2716170.75 2744760.42

117 -119 1379 12421.1 38532.65 2716170.75 2754703.41

118 -119.7 1400 15079.3 59524.15 3434793.95 3494318.11

119 -118 1400 15079.3 53951.44 3434793.95 3488745.40

120 -164.1 1358 10346.6 29198.37 14303.69 43502.07

121 -164.1 1358 9725.8 27446.47 13445.47 40891.95

122 -170 1358 9725.8 47793.23 13445.47 61238.70

123 -118 1400 3311.4 7746.42 718797.52 726543.94

124 -118 1400 411.6 962.88 89346.53 90309.41

125 -75 1400 411.6 827.83 89346.53 90174.37

126 -118 1400 2899.7 6783.54 629450.99 636234.53

127 -132 1400 2899.7 12115.22 629450.99 641566.21

128 -131.9 1367 2899.7 12113.03 629450.99 641564.02

129 -118 1400 11772.5 46117.20 2717083.49 2763200.69

130 -99 1400 11772.5 25529.79 2717083.49 2742613.28

131 7.2 6300 11772.5 32531.14 2717083.49 2749614.63

132 -85.2 6300 11772.5 41428.45 2717083.49 2758511.94

133 -164 6300 11772.5 58282.65 2717083.49 2775366.14

134 -164.1 101.3 11772.5 56447.91 2717083.49 2773531.41

135 -164.1 101.3 213.2 214.93 39745.98 39960.92

136 -164.1 1358 620.7 1751.90 858.22 2610.12

6 Gas Processing Journal

GPJ

(Continuation)

Stream

no.

Temperature

( C)

Pressure

(bar)

Flow

(kg.mol/h)

Physical

exergy

(kW)

Chemical

exergy

(kW)

Total

exergy

(kW)

137 -30 1358 620.7 1137.18 858.22 1995.40

200 35 2790 18500 39355.95 7744424.76 7783780.71

201 3 2790 18500 40714.69 7744424.76 7785139.45

202 -31 2790 18500 45921.58 7744424.76 7790346.34

203 -85 2790 18500 54625.4 7744424.76 7799050.16

204 -86.6 600 18500 53681.77 7744424.76 7798106.53

205 -32.8 600 18500 24984.58 7744424.76 7769409.34

206 -27 600 18500 23502.11 7744424.76 7767926.87

207 30 1500 18500 32866.37 7744424.76 7777291.14

208 35 1500 18500 32903.43 7744424.76 7777328.20

209 77.9 2790 18500 40728.29 7744424.76 7785153.05

300 35 2790 18500 39355.95 7744424.76 7783780.71

301 8 2900 37000 83669.08 8303601.04 8387270.13

302 -29 2900 37000 86445.10 8303601.04 8390046.15

303 -50 2900 37000 93194.73 8303601.04 8396795.78

304 -173 2900 37000 190776.71 8303601.04 8494377.76

305 -177.5 330 37000 187617.77 8303601.04 8491218.82

306 -67.2 330 37000 36880.06 8303601.04 8340481.11

307 85.5 2500 37000 82416.34 8303601.04 8386017.39

308 35 2500 37000 80016.16 8303601.04 8383617.21

309 47.9 2900 37000 83823.71 8303601.04 8387424.75

500 31.9 120 153176.8 270.92 3843117.85 3843388.78

501 32 1300 153176.8 1437.09 3843117.85 3844554.95

502 122.8 1300 153176.8 51936.02 3843117.85 3895053.88

503 45.5 1300 17887.1 30286.07 1693908.89 1724194.96

504 146.2 1300 135278.1 61024.15 2154922.16 2215946.32

505 33.9 1300 17887.1 27219.46 1693908.89 1721128.36

506 33.4 1300 17887.1 27211.95 1693908.89 1721120.85

507 -29.5 120 17884.9 23516.64 1693706.62 1717223.26

508 -29.5 120 17884.9 9741.91 1693706.62 1703448.53

509 27.5 120 17884.9 2066 1693706.62 1695772.62

510 28.9 120 17829.7 2062.47 1688472.60 1690535.08

511 37 1300 135278.1 1697.18 2154922.16 2156619.35

LNG -164.1 101.3 11559.3 56172.09 2677398.39 2733570.48

NGL 27.4 2500 1578.8 2168.70 1271730.56 1273899.27

Nitrogen -80 1358 620.7 1234.72 858.22 2092.94

Exside1 14.5 2500 4000 7498.65 2254297.09 2261795.74

Exside2 6.7 2500 4000 7917.59 2137273.77 2145191.36

Exside1R 35 2500 4000 7377.91 2254297.09 2261675

Exside2R 0 2500 4000 7980.68 2137273.77 2145254.45

Vol. 4, N0. 1, 2016 7

GPJ

3. Exergy Analysis

Exergy is the maximum available work

when some forms of energy are transferred

in a reverse manner to a reference system,

which is in thermodynamic equilibrium

with the surroundings, and is disable.

Exergy is a measure of distance of a

system from global equilibrium; with

respect to the state variables of

temperature, pressure, and composition of

the system approaching surroundings].

therefore, the reference state is named the

dead state. The total exergy of

multicomponent streams is the sum of its

three contributions: change due to mixing,

chemical exergy, and physical exergy. The

exergy of mixing results from the

isothermal and isobaric mixing of streams

at the actual process conditions. The

chemical exergy is the difference between

the process and reference components in

their environmental concentration,

temperature, and pressure in chemical

potentials. The physical exergy is the

maximum obtainable amount of shaft work

(electrical energy) when a stream is

brought from process conditions (T, P) to

an equilibrium at ambient temperature by

a reversible heat exchange. In general

practice the exergy analysis is based on

the overall thermodynamic efficiency, the

ratio of the lost work to the ideal work

required for separation. The overall exergy

efficiency for distillation is the product of

external and internal exergy efficiencies.

(B Ghorbani, GR Salehi, M Amidpour, et

al., 2012; B Ghorbani, GR Salehi, H

Ghaemmaleki, et al., 2012; Meratizaman,

Amidpour, Jazayeri, & Naghizadeh, 2010;

Morosuk & Tsatsaronis, 2008; Romero

Gómez, Romero Gómez, López-González, &

López-Ochoa, 2016; Sheikhi, Ghorbani,

Shirmohammadi, & Hamedi, 2014, 2015).

The exergy of the process material streams

is tabulated in Table (2). In this study FE ,

PE and DE , are defined as the fuel exergy

rate, the product exergy and the exergy

destruction rate, respectively.

The exergy balance over the kth

component is

k,Dk,Pk,F EEE (1)

where, FE ,

PE and DE are the exergy

rates of fuel, product and destruction,

respectively. and yk is defined as the

exergy destruction ratio:

tot,F

k,D

kE

Ey

(2)

The streams operating conditions and

exergy analysis of refrigeration cascade

structure are tabulated in Table2. The

definitions applied for calculation of exergy

efficiency of the process components and

the exergy efficiency of the process

components are tabulated in this table.

8 Gas Processing Journal

GPJ

Table2. Definitions for exergy efficiencies of the process components

Exergy

efficiency

(%)

Component

identifier

Exergy

efficiency (%)

Component

identifier

Components and exergy efficiency

expression

Heat Exchanger

[{∑

}

{∑

}

]

Cooler

∑ ∑

97.35

97.81

98.24

96.38

HX5

HX6

HX7

HX8

87.78

91.35

94.03

86.35

HX1

HX2

HX3

Hx4

-

-

67.33

96.87

C6

C7

Ex

Pump

78.24

76.68

72.61

74.97

78.54

C1

C2

C3

C4

C5

Compressor and Pump

∑ ∑

16.73

6.2

34.64

63.17

22.91

51.63

V7

V8

V9

V10

V11

V12

13.3

34.8

80.8

17.08

43.01

63.82

V1

V2

V3

V4

V5

V6

Expansion valve

,

99.19

-

AC4

AC5

99.12

98.27

98.26

AC1

AC2

AC3

Air cooler

57.39 T300

79.37

49.88

T100

T200

Column[38,39]

∑ ∑

s

irr

Cycle/process

57.96

Vol. 4, N0. 1, 2016 9

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4. Exergoeconomic Analysis

All the costs associated with a project,

including a minimum required return on

investment is calculated through this

method. Based on the estimated total

capital investment and assumptions made

in economical, financial, operating, and

market input parameters, the total

revenue requirement is calculated on a

year-by-year basis. Finally, the non-

uniform annual monetary values

associated with the investment, operating

(excluding fuel), maintenance, and the fuel

costs of the system subject to analysis are

levelized وthat is, they are converted into

an equivalent series of constant payments

(Fazelpour & Morosuk, 2014; B Ghorbani,

GR Salehi, M Amidpour, et al., 2012).

4.1. Economic Model

Total Revenue Requirement method is

applied in this study for economic analysis.

The detailed descriptions on the economic

model and its terms are presented in Table

3. Economic constants and assumptions

are tabulated in Table 3.

The levelized annual total revenue

requirement is calculated as follows

through the Capital Recovery Factor:

BL

1j

eff

j

L)i1(

TRRCRFTRR (3)

where, TRRj is the total revenue

requirement in jth year of system

operation, BL is economic life cycle of the

system (yr) and ieff is the average annual

rate of effective devaluation. Capital

recovery factor (CRF) is calculated as

follows:

1)i1(

)i1(iCRF

BL

eff

BL

effeff

(4)

TRRj is the sum of four annual terms:

minimum return on investment (ROI),

total capital recovery (TCR), operation and

maintenance costs (OMC) and fuel costs

(FC)(Fazelpour & Morosuk, 2014; Wang et

al., 2014; Yang, Wei, & Chengzhi, 2009).

More explanation about the economic

terms and analysis are found in:

jj

jjj

OMCFC

ROITCRTRR

(5)

where, FC0 is the fuel cost at the beginning

point, the year and calculated as follows:

τWcFC w0

(6)

where: τ = total annual time (in hours) that is

7300 h year-1

Cw = unit cost of fuel (0.071 $ kWh-1)

W = power (kW)

Cost of electricity during the jth year is

computed as follows: j

FC0j )r1(FCFC (7)

The constant escalation levelization factor

(CELF) for the fuel is obtained through:

CRF)k1(

)k1(kFC

CELFFCFC

FC

BL

FCFC0

0L

(8)

where:

iff

FCFC

i1

r1k

constantrFC

(9)

rFC is the average annual escalation rate of

fuel cost. The levelized annual operating

and maintenance costs OMCL are

calculated as follows:

CRF)k(

)k(kOMC

CELFOMCOMC

OMC

BL

OMCOMC

L

1

10

0

(10)

where,

iff

OMCOMC

i1

r1k

constantrOMC

(11)

rOMC is the annual escalation rate for the

operating and maintenance costs. The levelized

carrying charges CCL is calculated as follows:

LLLL OMCFCTRRCC (12)

Capital investment CI

kZ and operating and

maintenance costs OM

kZ of the total plant

10 Gas Processing Journal

GPJ

are gained based on the process

components purchased cost.

k

k

kLCI

kPEC

PEC

τ

CCZ

(13)

k

k

kLOM

kPEC

PEC

τ

OMCZ

(14)

where, τ and PECk are the total annual

hours of plant operation and the

purchased-equipment cost of the kth

component, respectively. Symbol kZ is the

cost rate associated with the capital

investment and operating and

maintenance costs:

k

k

kLL

OM

k

CI

kk

PEC

PEC

τ

OMCCC

ZZZ

(15)

Rate of levelized costs is calculated as

follows:

τ

FCC L

F (16)

The cost functions used for calculation of

the process equipment cost and the

purchased equipment and investment

costs are tabulated, respectively in Tables

4 and 5.

Table 3. Economic constants and assumptions.

Economic parameters Value

Average annual rate of the cost of money (ieff) 10%

Average nominal escalation rate for the operating

and maintenance cost (rOMC) 5%

Average nominal escalation rate for fuel (rFC) 5%

Plant economic life (book life) 25 years

Total annual operating hours of the system, at full

load 7300

Vol. 4, N0. 1, 2016 11

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Table 4. Equations regarding the cost of the process components

Component Purchased equipment cost functions

Compressor

CC=7.90(HP)0.62

CC= Cost of Compressor (k$)

Expander CEx = 0.378(HP)0.81

CEx = Cost of Expander (k$)

Heat exchanger CE=a(V)b+c

CE= Cost of Heat exchanger ($)

Pump

CP=fMfTCb

CP= Cost of Pump ($)

Cb=1.39exp[8.833-

0.6019(lnQ(H)0.5)+0.0519(lnQ(H)0.5)2], Q in gpm, H in ft

head

fM= Material Factor

fT=exp[b1+b2(lnQ(H)0.5)+b3(lnQ(H)0.5)2]

b1= 5.1029, b2= -1.2217, b3= 0.0771

Air cooler

CAC=1.218fmfPexp[a+blnQ+c(lnQ)2], Q in KSCFM

CAC= Cost of Air cooler (k$)

fm=Material Factor

fP=Pressure Factor

a=0.4692, b=0.1203, c=0.0931

Drum

CD=fmCb+Ca

CD= Cost of Drum ($)

Cb=1.218exp[9.1-0.2889(lnW)+0.04576(lnW)2],

5000<W<226000 lb shell weight

Ca=300D0.7396 L0.7066, 6<D<10, 12<L<20 ft

fm= Material Factor

Cooler

CC =1.218k(1+fd+fp)Q0.86 , 20<Q<200 M BTU/hr CC=

Cost of cooler ($)

fm=Design Type

fP=Design Pressure (psi)

a=0.4692, b=0.1203, c=0.0931

Absorber

Cb=1.128exp(6.629+0.1826 (logW)+0.02297*(logW) 2)

Cp1=300 (D0.7395) (L0.7068)

C1=1.218 [(1.7Cb+23.9V1+Cp1) ]

C2=Cost of installed manholes, trays and nozzles

C3= Cost of Cooler

C4= Cost of Heater

CAb = C1+C2+C3+C4

CAb= Cost of Drum ($)

12 Gas Processing Journal

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Table 5. Purchased equipment and investment costs for configuration process components

Equipment PEC (×103 $) ZCI ($/hr) ZOM ($/hr) Z ($/hr)

HX1 1969 109.3 2.2986 111.6

HX2 2564 142.3 2.9923 145.3

HX3 1004 55.7 1.1721 56.9

HX4 1349 74.9 1.5750 76.5

HX5 306 17 0.3568 17.3

HX6 306 17 0.3568 17.3

HX7 306 17 0.3568 17.3

HX8 306 17 0.3568 17.3

C1 49835 2766.4 58.1660 2824.6

C2 15580 864.8 18.1843 883

C3 23511 1305.1 27.4417 1332.6

C4 27603 1532.2 32.2169 1564.5

C5 23993 1331.9 28.0039 1359.9

Ex 7786 432.2 9.0880 441.3

Pump1 2790 154.9 3.2559 158.1

AC1 18597 1032.3 21.7061 1054.1

AC2 18597 1032.3 21.7061 1054.1

AC3 6159 341.9 7.1883 349.1

AC4 9079 504 10.5964 514.6

D1 4294 238.4 5.0122 243.4

D2 5603 311 6.5399 317.6

D3 4294 238.4 5.0122 243.4

T100 4554 252.8 5.3151 258.1

T200 3160 175.4 3.6887 179.1

T300 2403 133.4 2.8051 136.2

4.2. Cost Balance Equations

The exergy cost of the streams is gained by

writing the cost balance over each component.

The cost balance terms are: outlet streams

cost, inlet streams cost, primary investment

cost, CI

kZ , and the operation and maintenance

OM

kZ costs.

o

koo

OM

k

CL

k

i

kii )E(cZZ)E(c

(17)

For the components which have more than one

output, some auxiliary equations are written ;

therefore, based on the cost balances and

auxiliary equations for all components a set of

linear equations is yield as follows:

kkk ZcE (18)

where, kE , kc and kZ are exergy rate

matrix, costs per unit of exergy vector and

coefficient vector forkZ , respectively. The cost

balance and auxiliary equations for the process

components are tabulated in table 6.

Vol. 4, N0. 1, 2016 13

GPJ

Table 6. Main equations and auxiliary equations for the process components

Equip. Equation Main

HX1 R1side5092013011011HX5081side200300FG CCCCCZCCCCC

HX2

50820632202302102

250720532201301101

CCCCCCC

ZCCCCCCC

RsideRside

HXsideside

HX-3

137119125132108112205203303

3HXNitrogen118124131105109204202302

CCCCCCCCC

ZCCCCCCCCC

HX-4

130Nitrogen117127122133206304

4HX129136116126121132305303

CCCCCCCC

ZCCCCCCCC

HX5 5025115HX504501 CCZCC

HX6 5155056HX514503 CCZCC

HX7 5105067HX509505 CCZCC

HX8 5175008HX516513 CCZCC

C1 3071C1W306 CZCC

C2 3092C2W308 CZCC

C3 1313C3W130 CZCC

C4 2074C4W205 CZCC

C4 2095C5W208 CZCC

Ex 1078WEx106 CCZC

AC1 3001AC1W AC309 CZCC

AC2 3082AC2W AC307 CZCC

AC3 2083AC3W AC207 CZCC

AC4 2004AC4W AC209 CZCC

D1 LNG1351D134 CCZC

D2 1291232D119 CCZC

D3 1041031D102 CCZC

Pump 501Pump100W500 CZCC

T100

321115

100321113107111114

sidesidesideNGL

TRsideRsideRside

CCCCC

ZCCCCCCC

14 Gas Processing Journal

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T200 118120200T125117128122 CCZCCCC

T300 504503300TbQ502 CCZCC Re

V3 204203 CC

V4 305304 CC

V5 111110 CC

V6 114108 CC

V7 116115 CC

V8 134133 CC

V9 113112 CC

V10 128127 CC

V11 507506 CC

V12 512511 CC

TEE1 110109104 CCC

TEE2 106105103 CCC

TEE3 126124123 CCC

TEE4 136121120 CCC

MIX1 513510512 CCC

.Equip. Auxiliary Equations

HX1

,509508

509508

R1side1side

R1side1side

EE

CC

EE

CC

201200

201200

301300

301300

101FG

101FG

EE

CC

EE

CC

EE

CC

HX2

R3side3side

R3side3side

202201

202201

302301

302301

102101

102101

R2side2side

R2side2side

EE

CC

EE

CC

EE

CC

EE

CC

EE

CC

508507

508507

206205

206205

EE

CC

EE

CC

HX-3

117116

117116

127126

127126

122121

122121

123132

133132

304303

304303

EE

CC

EE

CC

EE

CC

EE

CC

EE

CC

130129

130129

Nitrogen136

Nitrogen136

306305

306305

EE

CC

EE

CC

EE

CC

HX-4

132131

132131

108105

108105

112109

112109

203202

203202

303302

303302

EE

CC

EE

CC

EE

CC

EE

CC

EE

CC

Vol. 4, N0. 1, 2016 15

GPJ

137Nitrogen

137Nitrogen

119118

119118

125124

125124

205204

205204

EE

CC

EE

CC

EE

CC

EE

CC

HX5

502

502

501

501

E

C

E

C

, 511

511

504

504

E

C

E

C

HX6

505

505

503

503

E

C

E

C

HX7

506

506

505

505

E

C

E

C

, 510

510

509

509

E

C

E

C

HX8

500

500

513

513

E

C

E

C

D1

LNG

LNG

135

135

E

C

E

C

D2

129

129

123

123

E

C

E

C

D3

104

104

103

103

E

C

E

C

T100

NGL

NGL

115

115

E

C

E

C

, 110

110

R3side

R3side

E

C

E

C

,

,101

101

R2side

R2side

E

C

E

C

111

111

R1side

R1side

E

C

E

C

T200

118

118

120

120

E

C

E

C

TEE1

110

110

109

109

E

C

E

C

TEE2

106

106

105

105

E

C

E

C

TEE3

126

126

124

124

E

C

E

C

TEE4

136

136

121

121

E

C

E

C

16 Gas Processing Journal

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4.3. Exergoeconomic variables Based on the fuel/product concept for a

component, FE and pE are the fuel and

product exergy rates, respectively.

Accordingly FC and PC are defined as fuel

cost and product cost rates, respectively.

For the kth component of a system ( k,Fc ) is

the average cost per unit of exergy of fuel:

F,k

F,k

F,kE

Cc

(19)

k,Pc is the product average cost per unit of

exergy:

P,k

P ,k

P ,kE

Cc

(20)

k,DE is the cost of exergy destruction for

the kth component.

D,kF,kD,k EcC (21)

Relative cost difference is defined as

follows:

P,kF,k

k

k

k

F,k

F,kP,k

kEc

Z

ε

ε1

c

ccr

(22)

Exergoeconomic factor is the ratio of

investments’ cost to the total investment

plus exergy destruction costs, calculated as

follows:

D,kk

kk

CZ

Zf

(23)

Table7 show the exergy unit cost for each

stream is obtained of the processes.

Vol. 4, N0. 1, 2016 17

GPJ

Table 7. Unit exergy cost of configuration process streams

Stream

no.

hr

$C

Gj

$c Stream

no.

hr

$C

Gj

$c

Feed 59618 2.439 137 8500 131.15

101 10720 2.438 200 5770400 205.92

102 59490 2.433 201 5529700 197.30

103 45470 2.423 202 5854300 208.743

104 13780 2.423 203 5897700 210.059

105 22740 2.423 204 5897700 210.084

106 22740 2.423 205 5774500 206.452

107 22310 2.381 206 22300 0.797

108 48090 5.116 207 5772800 206.182

109 9640 5.655 208 5772400 206.169

110 22500 5.655 209 5770900 205.909

111 22500 5.656 300 5770400 205.927

112 4450 2.612 301 6474400 214.426

113 4450 2.612 302 6301400 208.626

114 48090 5.118 303 6267700 207.342

115 184960 18.692 304 5797300 189.578

116 184960 18.718 305 5797300 189.649

117 137030 13.817 306 6439000 214.447

118 38110 3.029 307 6442400 213.397

119 61910 4.929 308 6443500 213.493

120 185810 1186.453 309 6444400 213.427

121 174660 1186.453 500 6900 0.497

122 272740 1237.140 501 7100 0.509

123 12960 4.953 502 7100 0.509

124 1610 4.953 503 5700 0.917

125 2190 6.737 504 1300 0.167

126 11350 4.953 505 5700 0.917

127 14360 6.215 506 5700 0.917

128 14360 6.215 507 5700 0.919

129 49270 4.953 508 5600 0.919

130 137210 13.896 509 5600 0.919

131 138650 14.006 510 5600 0.919

132 94200 9.485 511 1300 0.167

133 139350 13.947 LNG 137500 13.971

134 139350 13.956 NGL 221500 48.292

135 2010 13.971 Nitrogen 8500 186.45

136 11150 186.453 Exside1 63500 7.793

18 Gas Processing Journal

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5. Results and Discussion

5.1. Exergy analysis

The highest rates for exergy destruction occurs

in the Modified MFC, in AC3 by 16.9%, in V11

by amount of 16.52% and in AC2 by of 13.23%,

respectively, Table 8. The least amount of

exergy destruction in the Modified MFC

structure occurs at 0.00001% in V10, 0.00002%

in HX7, and 0.00031% in V5 rates, respectively.

the Modified MFC structure exergetic efficiency

of expansion valves are less than in comparison

with the other equipment, while their

irreversibilities are low, Fig. (2). This fact

indicates that the equipment performance in

energy consumption must be analyzed in terms

of irreversibility and exergy efficiency. The

structure of Modified MFC exchanger HX7 with

efficiency of 98.24% has the most exergetic

efficiency and HX4 with efficiency of 86.35%

has the lowest exergetic efficiency. The

contribution of each heat exchanger in the total

exergy losses is shown in a pie chart Fig. (3),

wherethe most exergy loss occurs in the heat

exchangers HX4 and HX5 which are

responsible for more than 39.23% of the total

exergy loss among the heat exchangers.Among

the heat exchangers HX4 by 21784.68 kW has

the highest Exergy loss and HX7 with 4.6 kW

has the least amount of exergy loss.

Table 8. Results of exergy and exergoeconomic analysis of the process

Component )kW(ED

hr

$kCF

hr

$kCP

hr

$CD %YD

%r %f

hr

$ Z

hr

$CD

HX1 6223.92 17813.13 12066.5 520652.1 3.07 4.1 0.021 520763.7

HX2 5870.51 18272.64 12282.7 5530426 2.89 31.03 0.0188 5530571

HX3 5012.40 12590.52 18159.22 113427.4 2.47 0.6 0.0538 113484.3

HX4 21784.68 8.439625 12945.43 354910.9 10.75 2.9 0.0165 354987.4

HX5 8828.03 5.695625 8.383281 56.34397 4.35 5.2 23.51 73.64397

HX6 2227.6 11.29995 5.685495 10.13009 1.09 9.02 63.1 27.43009

HX7 4.6 6.88119 11.28258 17.36552 0.002 15.3 49.94 34.66552

HX8 5579.3 6442.407 6.879156 2.033333 2.755 8.02 89.49 19.33333

C1 12661.34 6444.398 6439.582 2824.555 6.25 0.1 50.91 5649.155

C2 1157.33 138.6452 6443.515 883.0313 0.57 9.4 49.99 1766.031

C3 2640.49 5772.753 137.3126 1332.575 1.3 8.6 50.19 2665.175

C4 3124.97 5770.937 22.44673 5750307 1.54 99.6 0.1586 5751872

C5 2137.56 22.73564 5772.512 1575.062 1.05 54.7 46.33 2934.962

Ex 786.9 7.050264 22.32937 406.2791 0.38 17.5 52.066 847.5791

Pump1 38 6447.223 6.892157 158.1064 0.018 22.4 50.21 316.2064

AC1 283.72 6443.461 6444.398 2824.555 0.14 40.42 27.17 3878.655

AC2 26797.68 5772.754 6442.407 1054.054 13.23 29.5 49.99 2108.154

AC3 34241.78 5770.422 5772.404 349.5285 16.9 43.5 49.96 698.6285

AC4 1438.15 488.0531 5770.937 515.181 0.71 27.3 49.97 1029.781

T100 37.63 426.3132 400.0469 88006.22 1.733 17.01 0.292 88264.32

T200 3511.14 17813.13 223.9185 202394.7 4.629 49.92 0.088 202573.8

T300 9374.73 18272.64 12066.5 520652.1 1.823 49.03 0.067 520788.3

Vol. 4, N0. 1, 2016 19

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Figure3. Exergy destruction of hrat exchangers in the integrated structure of LNG-NGL-NRU

Figure 4. Breakdown of compressors, expander and pump exergy losses in the integrated structure of LNG-NGL-

NRU

The contribution of the expander, compressors

and pump in the total exergy loss are shown in

a pie chart in Fig. (4). Among compressors,

structure of Modified MFC, the C5 by the

efficiency of 78.54% has the highest and C3 by

efficiency of 72.61% has the lowest efficiency.

Among compressors C1 and C2 have the

highest and lowest amount of Exergy

destruction equal to 12661.34 kW and 1157.33

kW, respectively. Among the throttle valves in

Modified MFC, V3 with efficiency of 80.8% and

throttle valve V8 with an output efficiency of

6.2% have the highest and lowest efficiencies,

respectively. Among the throttle valves V11

and V10 with exergy loss of 33475.23 kW and

2.184406kW have the maximum and minimum

amount of exergy loss, respectively.

The contribution of air coolers in the total

exergy loss are shown in Fig. (5). Among the air

coolers in the Modified MFC, AC4 with

efficiency of 98.9% and AC2 with the efficiency

of 97.12% have the highest and lowest

efficiency, respectively. Among air coolers AC3

with 34241.78 kW and AC1 with 283.72 kW

have the highest and lowest amounts of exergy

loss, respectively. Fig.6 demonstrates the

contribution of the towers in the total exergy

loss.

11.2% 10.57%

9.026%

39.23%

15.89%

4.011% 0.0083% 10.05%

HX1

HX2

HX3

HX4

HX5

HX6

HX7

56.15%

5.13%

11.71%

13.86%

9.48% 3.49% 0.168%

C1

C2

C3

C4

C5

Ex

Pump

20 Gas Processing Journal

GPJ

Figure 5. Breakdown of air coolers exergy losses in the integrated structure of LNG-NGL-NRU

Figure 6. Breakdown of towers’ exergy losses in the integrated structure of LNG-NGL-NRU

5.2. Exergoeconomic analysis In TRR method, the capital cost of the system

is estimated first. Next, some economical

techniques are applied to calculate the revenue

requirement of the system in $/h and then, the

cost balance equations are written to calculate

the unit cost of exergy for each stream. The

exergoeconomic factor is defined and comments

are made on the balance between the capital

investment and operating costs of the system

inflicted by the exergy loss which have to be

compensated by more fuel consumption

(Ghorbani et al (2016))

There exists a distinct algorithm able to obtain

the abovementioned results, where:

1- All the components are put in descending

order based on their importance, known from

the magnitude of the sum

hr

$ Z

hr

$CD

,hence, the manner in modeling components

based on their importance. C4 column with

5751872

hr

$ has the greatest value.

Accordingly, to improve performance , the

components with high value of cost should be

considered.

2- The exergoeconomic factor is applied in

finding the prominent factor of the cost

infliction as follows:

a) if the value of f is large, we should check

whether it is economically justified to decrease

the capital cost of the equipments, because it is

assumed that the capital cost is so high that it

has lost its economical justification. The

exergoeconomic factor(s) of the process

components are illustrated, where, HX8 has

the greatest value of 89.49%.

b) if f is small, attempt should be made to

increase the efficiency even if it yields higher

capital cost, since it is assumed that low

efficiency of the system inflicts a high

expenditure on the system.

0.45%

42.69%

54.55%

2.29%

AC1

AC2

AC3

AC4

0.29%

27.16%

72.54%

T100

T200

T300

Vol. 4, N0. 1, 2016 21

GPJ

Table 9. Components, based on their f values

Component f%

HX8 89.49

HX6 63.1

Ex 52.066

C1 50.91

Pump1 50.21

C3 50.19

AC2 49.99

AC4 49.97

AC3 49.96

T100 0.292

T200 0.088

T300 0.067

HX3 0.050

HX4 0.021

HX1 0.021

HX2 0.0026

6. Sensitivity Analyses

In order to choose the appropriate decision

variables of the system it is necessary to

capture determine the behavior of the objective

function with respect to decision variables.

Since much of the electrical energy

consumption of the plant the compressors,

optimizing and reducing their exergy loss will

lead to a more economical approach of the

entire system.

The cost of exergy loss and exergoeconomic

factor of C4, HX2, HX3 and HX3 versus

pressure ratio of compressor C4, respectively

are shown in Figs. (7 and 10). Cost of exergy

destruction of of C4, HX2, HX3 and HX3 is

subject to pressure ratio; while, the decrease in

C4, HX2, HX3 and HX3 exergoeconomic factors

is subject pressure ratio. The C4 exergy

destruction rate increases with a higher rate

compared to the other components because

with an increase in the C4 pressure ratio its

power increases directly and the cost of exergy

destruction increases at a higher rate. The cost

of exergy loss and exergoeconomic factor of C1,

AC2 and HX4versus pressure ratio of

compressor C1, are shown in Figs. (11 and 12),

respectively. The cost of exergy destruction of

C1 decreases and cost of exergy destruction of

AC2 and HX4 increases as pressure drops. The

exergoeconomic factor of AC2 and HX4

decrease while the exergoeconomic factor of C1

increases with pressure ratio.

0.08

0.09

0.1

0.11

0.12

0.13

0.14

0.15

0.16

950000

1450000

1950000

2450000

2950000

3450000

2 3 4 5 6 7 8

Exer

goec

on

om

ic f

act

or

(%)

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Pressure ratio of compressore C4

Cost of exergy destruction ($/hr) Exergoeconomic factor (%)

22 Gas Processing Journal

GPJ

Figure 7. Variation of exergy loss and exergoeconomic factor of C4 with respect to compression ratio in C4

compressor

Figure 8. Variation of exergy destruction and exergoeconomic factor of HX2 with respect to compression ratio in

C4 compressor

Figure 9. Variation of exergy loss and exergoeconomic factor of HX3 with respect to compression ratio in C4

compressor

0.002

0.004

0.006

0.008

0.01

0.012

0.014

0.016

0.018

0.02

500000

1000000

1500000

2000000

2500000

3000000

2 3 4 5 6 7 8

Exer

goec

on

om

ic f

act

or

(%)

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Pressure ratio of compressore C4

Cost of exergy destruction ($/hr) Exergoeconomic factor (%)

0.03

0.035

0.04

0.045

0.05

0.055

110000

120000

130000

140000

150000

160000

170000

180000

190000

2 3 4 5 6 7 8

Exer

goec

on

om

ic f

act

or

(%)

Cost

of

exer

gy

des

tru

ctio

n (

$/h

r)

Pressure ratio of compressore C4

Cost of exergy destruction ($/hr)

Vol. 4, N0. 1, 2016 23

GPJ

Figure 10. Variation of exergy destruction and exergoeconomic factor of HX4 with respect to compression ratio in

C4 compressor

Figure11. Variation of exergy loss and exergoeconomic factor of C1 with respect to compression ratio in C1

compressor

0.015

0.0152

0.0154

0.0156

0.0158

0.016

0.0162

0.0164

0.0166

350000

355000

360000

365000

370000

375000

380000

385000

390000

395000

2 3 4 5 6 7 8

Exer

goec

on

om

ic f

act

or

(%)

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Pressure ratio of compressore C4

Cost of exergy destruction ($/hr) Exergoeconomic factor (%)

2600

2800

3000

3200

3400

3600

3800

47

47.5

48

48.5

49

49.5

50

50.5

51

6 8 10 12 14 16

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Exer

goec

on

om

ic f

act

or

(%)

Pressure ratio of compressore C1

Exergoeconomic factor (%) Cost of exergy destruction ($/hr)

24 Gas Processing Journal

GPJ

Figure 12. Variation of exergy destruction and exergoeconomic factor of AC2 with respect to compression ratio in

C1 compressor.

Figure 13. Variation of exergy loss and exergoeconomic factor of HX4 with respect to compression ratio in C1

compressor

The cost of exergy loss and exergoeconomic

factor of C4, HX2, HX3 and HX3 versus

pressure ratio of compressor C4, respectively

are shown in Figs. (7 and 10). Cost of exergy

destruction of of C4, HX2, HX3 and HX3 is

subject to pressure ratio; while, the decrease in

C4, HX2, HX3 and HX3 exergoeconomic factors

is subject pressure ratio. The C4 exergy

destruction rate increases with a higher rate

compared to the other components because

with an increase in the C4 pressure ratio its

power increases directly and the cost of exergy

destruction increases at a higher rate. The cost

of exergy loss and exergoeconomic factor of C1,

1052.5

1053

1053.5

1054

1054.5

1055

1055.5

49.5

50

50.5

51

51.5

52

52.5

53

6 8 10 12 14 16

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Exer

goec

on

om

ic f

act

or

(%)

Pressure ratio of compressore C1

Exergoeconomic factor (%) Cost of exergy destruction ($/hr)

320000

325000

330000

335000

340000

345000

350000

355000

360000

365000

0.015

0.018

0.021

0.024

0.027

0.03

0.033

0.036

0.039

6 8 10 12 14 16

Cost

of

exer

gy d

estr

uct

ion

($/h

r)

Exer

goec

on

om

ic f

act

or

(%)

Pressure ratio of compressore C1

Exergoeconomic factor (%) Cost of exergy destruction ($/hr)

Vol. 4, N0. 1, 2016 25

GPJ

AC2 and HX4versus pressure ratio of

compressor C1, are shown in Figs. (11 and 12),

respectively. The cost of exergy destruction of

C1 decreases and cost of exergy destruction of

AC2 and HX4 increases as pressure drops. The

exergoeconomic factor of AC2 and HX4

decrease while the exergoeconomic factor of C1

increases with pressure ratio.

7. Conclusions

In this study the exergoeconomic analysis of an

integrated NGL recovery, nitrogen rejection

and LNG process is assessed. Results obtained

from exergoeconomicanalysis are presented in

form of exergy destruction cost and

exergoeconomicfactor, as follows:

1. Most important elements in exergy loss cost

are related to the air coolers due to their high

fuel consumption.

2. Exergoeconomic factor in the heat

exchangers, expanders and compressors is

higherthan other elements, thus, in order to

reduce the total system cost,their cost must be

minimized.

3. Based on the exergoeconomic diagnosis the

cost of HX8 and HX6 is high, thus it is better to

replace them with loss expensive ones. while

C4 and HX2 have a high destruction cost. Here,

their efficiency improvement is a major

concern. . HX2 is in similar situation, that is, it

has small exergoeconomic factor. It is deduced

that the efficiency column should be increased

even it increases the initial investment cost.

HX-2 and HX-3 are at the second order of

magnitude for improvement.

Nomenclature BL book life

c unit exergy cost ($/kJ)

C exergy cost rate ($/h)

CC Carrying charge

CRF capital recovery factor

cw

Unit cost of the generated

electricity ($/kW)

e Specific flow exergy (kJ/kgmole)

Ė Exergy rate (kW)

Ex Exergy (kW)

F exergoeconomic factor (%)

FC Fuel cost ($/s)

I Irreversibility (kW)

ieff average annual discount rate (cost

of money)

j jth year of operation

m Number of cold streams

Flow rate (kgmole/s)

n Number of hot streams

OMC Operating and maintenance cost

PEC Purchase equipment cost ($)

Q Heat duty (kW)

r relative cost difference (%)

rFC

annual escalation rate for the fuel

cost

TCR Return on investment

rOM

Annual escalation rate for the

operating and maintenance cost

TCR Total capital recovery

TRR Total revenue requirement

W Work transfer rate (kW)

W Power (kW)

y Exergy destruction ratio

kZ

Total cost rate of kth component

including Capital investment and

operating-maintenance cost

CI

kZ Rate of capital investment of kth

component

OM

kZ Rate of operating and maintenance

cost of kth component

Greek Letters

τ annual operating hours (h)

ɛ Exergy efficiency

∆ Gradient

Subscripts

0 index for first year of operation

a Air

c Cold

D Destruction

F Fuel

h Hot

i Inlet

26 Gas Processing Journal

GPJ

k kth component

L levelized

o Outlet

P Production

Tot Total

Superscripts

CI Capital investment

OM Operating and maintenance

∆P Pressure component

∆T Thermal component

Abbreviations

AC Air cooler

APCI Air Products and Chemicals, Inc

C Compressor

D Flash drum

E Multi stream heat exchanger

LNG Liquefied Natural Gas

AB Absorption

MIX Mixer

MR Mixed Refrigerant

V Expansion valve

MFC Mixed Fluid Cascade

NGL Natural Gas Liquids

NRU Nitrogen Rejection Unit

References

Alabdulkarem, A., Mortazavi, A., Hwang, Y.,

Radermacher, R., & Rogers, P. (2011).

Optimization of propane pre-cooled mixed

refrigerant LNG plant. Applied Thermal

Engineering, 31(6), 1091-1098.

Amidpour, M., Hamedi, M., Mafi, M., Ghorbani,

B., Shirmohammadi, R., & Salimi, M.

(2015). Sensitivity analysis, economic

optimization, and configuration design of

mixed refrigerant cycles by NLP

techniques. Journal of Natural Gas

Science and Engineering, 24, 144-155.

Bejan, A., & Tsatsaronis, G. (1996). Thermal

design and optimization: John Wiley &

Sons.

Chen, F., Liu, Y., Krishnamurthy, G., Ott, C. M.,

& Roberts, M. J. (2015a). Integrated

Nitrogen Removal in the Production of

Liquefied Natural Gas Using Dedicated

Reinjection Circuit: US Patent

20,150,308,736.

Chen, F., Liu, Y., Krishnamurthy, G., Ott, C. M.,

& Roberts, M. J. (2015b). Integrated

Nitrogen Removal in the Production of

Liquefied Natural Gas Using

Intermediate Feed Gas Separation: US

Patent 20,150,308,737.

Fazelpour, F. (2015). Energetic and exergetic

analyses of carbon dioxide transcritical

refrigeration systems for hot climates.

Thermal Science, 19(3), 905-914.

Fazelpour, F., & Morosuk, T. (2014).

Exergoeconomic analysis of carbon

dioxide transcritical refrigeration

machines. International Journal of

Refrigeration, 38, 128-139.

Ghorbani, B., Hamedi, M.-H., & Amidpour, M.

(2016). Development and optimization of

an integrated process configuration for

natural gas liquefaction (LNG) and

natural gas liquids (NGL) recovery with a

nitrogen rejection unit (NRU). Journal of

Natural Gas Science and Engineering,

34, 590-603.

Ghorbani, B., Hamedi, M.-H., Amidpour, M., &

Mehrpooya, M. (2016). Cascade

refrigeration systems in integrated

cryogenic natural gas process (natural

gas liquids (NGL), liquefied natural gas

(LNG) and nitrogen rejection unit

(NRU)). Energy, 115, 88-106.

Ghorbani, B., Hamedi, M.-H., Shirmohammadi,

R., Hamedi, M., & Mehrpooya, M. (2016).

Exergoeconomic analysis and multi-

objective Pareto optimization of the

C3MR liquefaction process. Sustainable

Energy Technologies and Assessments,

17, 56-67.

doi:http://dx.doi.org/10.1016/j.seta.2016.0

9.001

Ghorbani, B., Hamedi, M., Shirmohammadi, R.,

Mehrpooya, M., & Hamedi, M.-H. (2016).

A novel multi-hybrid model for

estimating optimal viscosity correlations

of iranian crude oil. Journal of Petroleum

Science and Engineering.

Ghorbani, B., Mafi, M., Amidpour, M., Nayenian,

M., & Salehi, G. R. (2013). Mathematical

Method and Thermodynamic Approaches

to Design Multi-Component Refrigeration

Used in Cryogenic Process Part I:

Optimal Operating Conditions. Gas

Processing Journal, 1(2), 13-21.

Ghorbani, B., Mafi, M., Shirmohammadi, R.,

Hamedi, M.-H., & Amidpour, M. (2014).

Optimization of operation parameters of

refrigeration cycle using particle swarm

and NLP techniques. Journal of Natural

Gas Science and Engineering, 21, 779-

790.

Vol. 4, N0. 1, 2016 27

GPJ

Ghorbani, B., Maleki, M., Salehi, A., Salehi, G. R.,

& Amidpour, M. (2013). Optimization of

Distillation Column Operation by

Simulated Annealing. Gas Processing

Journal, 1(2), 49-63.

Ghorbani, B., Salehi, G., Amidpour, M., &

Hamedi, M. (2012). Exergy and

exergoeconomic evaluation of gas

separation process. Journal of Natural

Gas Science and Engineering, 9, 86-93.

Ghorbani, B., Salehi, G., Ghaemmaleki, H.,

Amidpour, M., & Hamedi, M. (2012).

Simulation and optimization of

refrigeration cycle in NGL recovery

plants with exergy-pinch analysis.

Journal of Natural Gas Science and

Engineering, 7, 35-43.

Ghorbani, B., Salehi, G. R., Esnaashary, P., &

Amidpour, M. (2012). Design and

Optimization of Heat Integrated

Distillation. Energy Science and

Technology, 3(2), 29-37.

Ghorbani, B., Ziabasharhagh, M., & Amidpour, M.

(2014). A hybrid artificial neural network

and genetic algorithm for predicting

viscosity of Iranian crude oils. Journal of

Natural Gas Science and Engineering,

18, 312-323.

Khan, M. S., & Lee, M. (2013). Design

optimization of single mixed refrigerant

natural gas liquefaction process using the

particle swarm paradigm with nonlinear

constraints. Energy, 49, 146-155.

Lashkajani, K. H., Ghorbani, B., Amidpour, M., &

Hamedi, M.-H. (2016). Superstructure

optimization of the olefin separation

system by harmony search and genetic

algorithms. Energy, 99, 288-303.

Lashkajani, K. H., Ghorbani, B., Salehi, G. R., &

Amidpour, M. (2013a). The Design and

Optimization of Distillation Column with

Heat and Power Integrated Systems.

Lashkajani, K. H., Ghorbani, B., Salehi, G. R., &

Amidpour, M. (2013b). The Design of the

Best Heat Integrated Separation Systems

Using Harmony Search Algorithm.

Mafi, M., Ghorbani, B., Amidpour, M., & Naynian,

S. M. (2013). Design of mixed refrigerant

cycle for low temperature processes using

a thermodynamic approach. Scientia

Iranica. Transaction B, Mechanical

Engineering, 20(4), 1254.

Mafi, M., Ghorbani, B., Salehi, G., Amidpour, M.,

& Nayenian, S. M. The Mathematical

Method and Thermodynamic Approaches

to Design Multi-Component Refrigeration

used in Cryogenic Process Part II:

Optimal Arrangement.

Meratizaman, M., Amidpour, M., Jazayeri, S. A.,

& Naghizadeh, K. (2010). Energy and

exergy analyses of urban waste

incineration cycle coupled with a cycle of

changing LNG to pipeline gas. Journal of

Natural Gas Science and Engineering,

2(5), 217-221.

Morosuk, T., & Tsatsaronis, G. (2008). A new

approach to the exergy analysis of

absorption refrigeration machines.

Energy, 33(6), 890-907.

Ott, C. M., Krishnamurthy, G., Chen, F., Liu, Y.,

& Roberts, M. J. (2015). Integrated

Nitrogen Removal in the Production of

Liquefied Natural Gas Using

Refrigerated Heat Pump: US Patent

20,150,308,738.

Ransbarger, W. L. (2006). Intermediate pressure

LNG refluxed NGL recovery process:

Google Patents.

Roberts, M., & Brostow, A. (2005). Integrated

NGL recovery and liquefied natural gas

production: Google Patents.

Romero Gómez, M., Romero Gómez, J., López-

González, L. M., & López-Ochoa, L. M.

(2016). Thermodynamic analysis of a

novel power plant with LNG (liquefied

natural gas) cold exergy exploitation and

CO2 capture. Energy, 105, 32-44.

doi:http://dx.doi.org/10.1016/j.energy.201

5.09.011

Salarian, H., Ghorbani, B., Amidpour, M., &

Salehi, G. (2014). Performance study on

the dehumidifier of a packed bed liquid

desiccant system. Scientia Iranica.

Transaction B, Mechanical Engineering,

21(1), 222.

Salehi, G., Salehi, A., Ghorbani, B., Amidpour, M.,

Maleki, M., & Kimiaghalam, F. (2012). A

Pareto Front Approach to Bi-objective of

Distillation Column Operation Using

Genetic Algorithm. Energy Science and

Technology, 3(2), 63-73.

Sheikhi, S., Ghorbani, B., Shirmohammadi, R., &

Hamedi, M.-H. (2014). Thermodynamic

and Economic Optimization of a

Refrigeration Cycle for Separation Units

in the Petrochemical Plants Using Pinch

Technology and Exergy Syntheses

Analysis. Gas Processing Journal, 2(2),

39-52. Retrieved from

http://uijs.ui.ac.ir/gpj/browse.php?a_code

=A-10-350-1&slc_lang=en&sid=1

Sheikhi, S., Ghorbani, B., Shirmohammadi, R., &

Hamedi, M.-H. (2015). Advanced Exergy

Evaluation of an Integrated Separation

Process with Optimized Refrigeration

System. Gas Processing Journal, 3(1), 1-

10. Retrieved from

http://uijs.ui.ac.ir/gpj/browse.php?a_code

=A-10-350-2&slc_lang=en&sid=1

28 Gas Processing Journal

GPJ

Shirmohammadi, R., Ghorbani, B., Hamedi, M.,

Hamedi, M.-H., & Romeo, L. M. (2015).

Optimization of mixed refrigerant

systems in low temperature applications

by means of group method of data

handling (GMDH). Journal of Natural

Gas Science and Engineering, 26, 303-

312.

Wang, M., Khalilpour, R., & Abbas, A. (2014).

Thermodynamic and economic

optimization of LNG mixed refrigerant

processes. Energy Conversion and

Management, 88, 947-961.

Yang, H., Wei, Z., & Chengzhi, L. (2009). Optimal

design and techno-economic analysis of a

hybrid solar–wind power generation

system. Applied Energy, 86(2), 163-169.

doi:http://dx.doi.org/10.1016/j.apenergy.2

008.03.008

Ghorbani, B., Hamedi, M., Shirmohammadi, R.,

Mehrpooya, M., & Hamedi, M. H. (2016). A

novel multi-hybrid model for estimating

optimal viscosity correlations of Iranian crude

oil. Journal of Petroleum Science and

Engineering, 142, 68-76


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