- Open Access
- Total Downloads : 405
- Authors : Dr. Soupayan Mitra, Devashish Gautam
- Paper ID : IJERTV3IS070035
- Volume & Issue : Volume 03, Issue 07 (July 2014)
- Published (First Online): 01-07-2014
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
An Application of Energy and Exergy Analysis in Industrial Sector of India
Dr. Soupayan Mitra1
Associate Professor: Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College,
WBUT, West Bengal, India.
Devashish Gautam2
Post Graduate Scholar: Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College,
WBUT, West Bengal, India.
Abstract The present article is dedicated for evaluating the industrial sector in terms of energetic and exergetic aspects. In this regard, energy and exergy utilization efficiencies during the period 2005-2011 are assessed based on real data obtained from Energy statistics of India. Sectoral energy and exergy analyses are conducted to study the variations of energy and exergy efficiencies, overall energy and exergy efficiencies for the entire sub-sector are found to be in the range of 67.23% to 77.83%. When compared with other neighbouring countries, such as Saudi Arabia, Malaysia and Turkey, the Indian industrial sector is the more efficient. Such difference is inevitable due to the proper use of fossil-fuel resources. It is concluded that the present technique and associated analysis is beneficial for analyzing sectoral energy and exergy utilization in India and provides the information on how efficiently energy is used. It is also helpful to establish standards to facilitate application in industry and in other processes for a successful energy planning towards sustainable development.
KeywordsEnergy; Exergy; Efficiency; Sectoral energy use; Industrial sector of India.
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INTRODUCTION
The Indian industrial sector accounts for 26% of GDP and employs 22% of the total workforce. India is 11th in the world in terms of nominal factory output according to data compiled through CIA World Fact book figures. The Indian industrial sector underwent significant changes as a result of the economic liberalization started from the New Economic Policy of 1991, which removed import restrictions, brought in foreign competition, led to the privatization of certain public sector industries, liberalized the FDI regime, improved infrastructure and led to an expansion in the production of fast moving consumer goods.[1]
This work represents a brief critical and analytical account of the development of the concept of exergy and of its applications to the society. It is based on a careful and in detail consultation of a very large number of published references taken from archival journals, conference proceedings, technical reports and lecture series., considered first of its kind in India since there is no such study on energy and exergy utilizations for the sub-sector.
Furthermore, comparison of obtained results of energy and exergy efficiencies with other countries around the world is carried out.
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THEORITICAL AND MATHEMATICAL FORMULATION OF EXERGY ANALYSIS
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The concept of exergy
Exergy can be defined as a measure of maximum capacity of an energy system to perform useful work as it proceeds from an initial state to specified final state in equilibrium within the surroundings which is called the dead state. Thus evaluation of exergy is always made with respect to a reference surrounding environment. The reference environment is in stable equilibrium, acts as an infinite system, a sink or surface for heat and materials, and experiences only internal reversible processes in which its intensive properties remains constant. In simple words, we can describe exergy as the maximum ability to produce work or, maximum usefulness of the energy content of a system or, an energy resource and it may be noted that not all energy content of a system can be converted into useful work.
Exergy analysis permits to overcome many of the shortcomings of energy analysis. Exergy analysis is based on the second law of thermodynamics, and is useful in identifying the causes, locations and magnitudes of process inefficiencies which cannot be identified by the first law of thermodynamics or, simple energy efficiency alone. The exergy associated with an energy quantity is a quantitative assessment of its usefulness or quality. Exergy analysis is basically a qualitative analysis of the energy used to perform a job say, usage of exergy in industrial sector of a country. The exergy analysis acknowledges that, although energy cannot be created or destroyed, it can be degraded in quality, eventually reaching a state in which it is in complete equilibrium with the surroundings and hence of no further use for performing tasks.
-
Energy and exergy values for commodities in macrosystem
The exergy of an energy resource can for simplicity often be expressed as the product of its energy content and a quality factor (the exergy-to-energy ratio) for the energy resource. This value relates to the price of the material or resource, which is also partly defined by the environment through, for instance, demand. In assessments of regions and nations, the most common material flows often are hydrocarbon fuels at near ambient conditions. The physical exergy for such material flows is approximately zero, and the specific exergy reduces to the fuel specific chemical exergy exf, which can be written as:
exf = f Hf (1)
where f denotes the exergy grade function for the fuel, defined as the ratio of fuel chemical exergy to fuel higher heating value Hf . [2, 3]
Table-1 lists typical values of Hf , exf and f for fuels typically encountered in regional and national assessments. The specific chemical exergy of a fuel at T0 and P0 is usually approximately equal to its higher heating value Hf.
Table-1: Properties of selected fuels.*
= (Exergy in products) / (Total exergy input)
(3)
Exergy efficiencies can often be written as a function of the corresponding energy efficiencies by assuming the energy grade function f to be unity, which is commonly valid for typically encountered fuels (kerosene, gasoline, diesel and natural gas).
Heating
Electric and fossil fuel heating processes are taken to generate product heat Qp at a constant temperature Tp, either from electrical energy We or fuel mass mf . The efficiencies for electrical heating are:
h,e = Qp/We (4)
and
x x 0 p p e
h,e = E Qp/E We = (1 T /T )Q /W Combining these expressions yields
h,e = (1 T0/Tp)h,e (5)
For fuel heating, these efficiencies are h,f = Qp/mf Hf
* For a reference-environment temperature of 25C, pressure of 1 atm and chemical composition as
and
Fuel
Hf (kJ/kg)
Chemical exergy (kJ/kg)
f
Gasoline
47.849
47.394
0.99
Natural gas
55,448
51,702
0.93
Fuel oil
47,405
47,101
0.99
Diesel
39,500
42,265
1.07
Kerosene
46,117
45,897
0.99
h,f = ExQp/mf exf or
h,f = (1 T0/Tp)Qp / (mffHf ) (1 T0/Tp)h,f
(6)
(7)
defined in the text. Source: Reistad (1975). [4]
-
The reference environment for macrosystems
The reference environment used in many assessments of macrosystems i based on the model of Gaggioli and Petit [5] which has a temperature T0=25C, pressure P0=1 atm and a chemical composition consisting of air saturated with water vapor, and the following condensed phases at 25C and 1 atm: water (H2O), gypsum (CaSO4·2H2O) and limestone (CaCO3). This reference-environment model is used in this chapter, but with a temperature of 10C.
-
Efficiencies for devices in macrosystems
Energy and exergy efficiencies for the principal processes in macrosystems are usually based on standard definitions:
= (Energy in products) / (Total energy input)
(2)
where double subscripts indicate processes in which the quantity represented by the first subscript is produced by the quantity represented by the second, e.g., the double subscript h,e means heating with electricity.
Cooling
The efficiencies for electric cooling are c,e = Qp / We
(8)
c,e = ExQp / ExWe = (1 T0 / Tp) Qp / We
(9)
or
c,e = (1 T0 / Tp) c,e
(10)
Work production
Electric and fossil fuel work production processes produce shaft work W. The efficiencies for shaft work production from electricity are
m,e = W / We
industrial sector is shown in Fig-1 and the main fuels that are being used are:
-
High speed diesel oil (HSDO)
-
Light diesel oil (LDO)
-
Furnace oil (FO)
-
Raw coal
-
Lignite
-
m,e = ExW / ExWe = W / We = m,e
For fuel-based work production, these efficiencies are m,f = W / mf Hf
(11)
(12)
(13)
m,f = ExW / mf exf = W/mf f Hf m,f (14)
which produce a change in kinetic energy ke in a stream of matter ms, are as follows:
Electricity generation
The efficiencies for electricity generation from fuel are e,f = We / mfHf
(15)
e,f = ExWe /mf exf = We/mf f Hf e,f
(16)
Kinetic energy production
The efficiencies for the fossil fuel-driven kinetic energy production processes, which occur in some devices in the transportation sector (e.g., turbojet engines and rockets) and which produce a change in kinetic energy ke in a stream of matter ms, are as follows:
ke,f = ms kes / mfHf
Fig.1. Hierarchy Tree for the industrial sector of India [1]
B. Energy efficiencies for the industrial sector
Table-2 provides energy efficiencies for the various types of fuels used in the industries. These values are based on average U.S devices. They seem to represent the general nature of the devices and are assumed to represent the Indian devices in absence of any other more accurate data. Since, machines generally are not operated at full load; a distinction is made between rated load (full load) efficiencies and estimated operating load (part load) efficiencies. [4]
Table – 2: Efficiencies for the Industrial Sector (Process and operating data). [2]
ke,f = ms kes / mf exf = ms kes / mf f Hf ke,f
(17)
Fuel/Petroleum product
Rated Load/Efficiency (%)
Estimated
Operating Load/Efficiency (%)
High speed diesel oil
28
22
Light diesel oil
28
22
Fuel oil
–
15
Raw Coal
80
70
Lignite
46
40
(18)
-
-
METHODOLOGY AND DATA SOURCES
A. Analysis of the Industrial Sector
Energy and exergy utilization in the industrial sector is evaluated and analyzed. The industrial sector of India is composed of many industries. Few of the industries are oil and gas, chemical and petro-chemical, iron and steel, cement, power plants, etc. The hierarchical diagram for the Indian
-
Data sources
Amount of fuel consumption by different machineries used in the industrial activities are collected from Energy statistics of India 2013 [1] and presented in Table-3.
Table- 3: Energy consumption data for Industrial Sector in India for 2005-2011. [1]
2010
LDO
127
FO
2774
Raw Coal
523470
Lignite
37690
2011
HSDO
1649
LDO
102
FO
2409
Raw Coal
535730
Lignite
41880
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Steps and procedures taken for energy and exergy analysis
Energy and exergy efficiencies were determined using (2) and (3) considering grade function as unity. The overall energy efficiency can be easily found by dividing total energy produced by total input energy. [3] The overall weighted mean was obtained for the energy and exergy efficiencies for the fossil fuel processes as well. Weighing factors are the ratio of energy input of each of the fuels to the total input energy of this sector. The device exergy efficiencies are evaluated using data for the years 2005 2011. Energy and exergy efficiencies were then used to calculate the overall energy and exergy efficiencies of this sector.
Year
Fuel & Petroleum Products
Consumption (000
tonnes)
2005
HSDO
964
LDO
325
FO
1828
Raw Coal
395590
Lignite
30340
2006
HSDO
1234
LDO
244
FO
1830
Raw Coal
419800
Lignite
30800
2007
HSDO
1241
LDO
200
FO
1634
Raw Coal
453570
Lignite
34660
2008
HSDO
1310
LDO
155
FO
2843
Raw Coal
489170
Lignite
31790
2009
HSDO
1502
LDO
143
FO
3134
Raw Coal
513790
Lignite
34430
HSDO
1440
Table- 4: Energy consumption data for Industrial Sector in India for 2005-2011 [1, 2]
Year
Fuel & Petroleum Products
Consumptions (000 tonnes)
Energy Consumption
Energy Efficiency
PJ
%
Rated Load (%)
EstimatedOperating Load (%)
2005
HSDO
964
40.36
0.58
28
22
LDO
325
13.60
0.19
28
22
FO
1828
76.54
1.1
–
15
Raw Coal
395590
6341.3
91.13
80
70
Lignite
30340
486.35
7.0
46
40
2006
HSDO
1234
51.67
0.7
28
22
LDO
244
10.21
0.13
28
22
FO
1830
76.62
1.03
–
15
Raw Coal
419800
6775.57
91.42
80
70
Lignite
30800
497.11
6.72
46
40
2007
HSDO
1241
51.96
0.65
28
22
LDO
200
8.37
0.10
28
22
FO
1634
68.42
0.85
–
15
Raw Coal
453570
7320.62
91.4
80
70
Lignite
34660
559.41
7.0
46
40
2008
HSDO
1310
54.85
0.64
28
22
LDO
155
6.49
0.07
28
22
FO
2843
119.04
1.38
–
15
Raw Coal
489170
7895.2
91.92
80
70
Lignite
31790
513.09
6.00
46
40
2009
HSDO
1502
62.89
0.69
28
22
LDO
143
6.00
0.06
28
22
FO
3134
131.22
1.45
–
15
Raw Coal
513790
8292.57
91.65
80
70
Lignite
34430
555.7
6.15
46
40
2010
HSDO
1440
60.29
0.65
28
22
LDO
127
5.32
0.05
28
22
FO
2774
116.15
1.25
–
15
Raw Coal
523470
8448.8
91.44
80
70
Lignite
37690
608.32
6.61
46
40
2011
HSDO
1649
69.04
0.72
28
22
LDO
102
4.27
0.04
28
22
FO
2409
100.86
1.06
–
15
Raw Coal
535730
8646.68
91.04
80
70
Lignite
41880
675.94
7.14
46
40
-
-
DATA ANALYSIS, RESULT AND DISCUSSION
-
Mean and overall energy efficiencies
Generally, the overall or mean weighted energy efficiency is determined by dividing the total energy produced by the total energy output. In this problem, all the fuels have the same part loads. Using the part load efficiency, weighted mean energy efficiency of every fuel can be found. Based on the data listed in Table-4, the weighted mean energy efficiency for the industrial sector in the year 2010, e.g., is calculated using equation:
0 = HSDO + LDO+ FO + Raw Coal + Lignite.
o = (0.0065×28) + (0.005×28) + (0.0125×100) + (0.944×80) + (0.0661×46) = 77.40%
-
Mean and overall exergy efficiencies
Based on the process and operating data listed in Table- 2 and the estimated energy efficiencies, the overall exergy efficiency for industrial sector in the year 2010 is calculated using the equation:
0 = HSDO + LDO+ FO + Raw Coal + Lignite.
0 = (0.0065×22) + 0.005×22) + (0.0125×15) + (0.944×70)
+ (0.0661×40) = 66.993% 67%
Fig. 2. Overall mean energy and exergy efficiencies for the industrial sector for 2005-2011
-
Comparison with other countries
Sector and overall energy and exergy efficiencies for India, Saudi Arabia, Malaysia and Turkey are compared and the comparison is shown in Fig.3. The comparison is based on previous studies, and the data used is for the year 1993 for Saudi Arabia and Turkey and 2005 for India and Malaysia. The efficiencies differ slightly, but the main trends
described earlier in this section regarding the differences between energy and exergy efficiencies are exhibited by each country. The Indian industrial sector (including Power sector) is more efficient and such difference is inevitable due to dissimilar structure of the industries in these countries. From the above results it can be said that compared to some other Asian countries like Saudi Arabia, Malaysia and Turkey, the way energy is used in Indian industrial sector is better. Still there is a lot of scope for improvement and thereby reduction in the quantity of energy usage. Since this type of exergy analysis in industrial sector is first of this kind for India, it is expected that that the results of this study will be helpful in developing highly applicable and productive planning for future energy policies. In fact, similar analyses may be extended to cover Residential, Agricultural, Public and private and Utility sectors.
Fig. 3. Comparison of overall energy and exergy efficiencies for the industrial sector of India, Saudi Arabia, Malaysia and Turkey. [1, 2]
-
-
CONCLUSION
In summary, it can be said that the potential usefulness of exergy analysis in sectoral energy utilization is substantial and that the role of exergy in energy policy making activities is crucial. The results of exergy analyses of processes and systems have direct implications on application decisions and on research and development (R&D) directions. Further, exergy analyses more than energy analyses provide insights into the best directions for R&D effort. The overall mean energy efficienc and the overall mean exergy efficiency in the Indian industrial sector for the period 2005-2011 is 77.8% and 67.23%. This study also shows that domestic industrial contribution should be increased to improve the overall energy and exergy efficiencies of the Indian industrial sector.
ACKNOWLEDGEMENT
The authors wish to acknowledge the support provided by Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal-735101 and West Bengal University of Technology (WBUT).
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