SlideShare a Scribd company logo
1 of 9
Download to read offline
International
OPEN ACCESS Journal
Of Modern Engineering Research (IJMER)
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 7|
An Application of Energy and Exergy Analysis of Transport
Sector of India
Dr. Soupayan Mitra1
, Devashish Gautam2
1
(Associate Professor, Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College/WBUT, India
2
(P.G. Scholar, Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College/WBUT, India
I. INTRODUCTION
India’s transport sector is large and diverse; it caters to the needs of 1.2 billion people. In 2007, the
sector contributed about 5.5 percent to the nation’s GDP, with road transportation contributing the lion’s
share. Good physical connectivity in the urban and rural areas is essential for economic growth. Since the early
1990s, India's growing economy has witnessed a rise in demand for transport infrastructure and services.
However, the sector has not been able to keep pace with rising demand and is proving to be a drag on the
economy. Major improvements in the sector are required to support the country's continued economic growth
and to reduce poverty. [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 consultation of a very large
number of published references taken from archival journals, technical reports, lecture series etc.,
considered first of its kind in India since there is no such study on energy and exergy utilizations for the
transportation sub-sector of India. Furthermore, comparison of obtained results of energy and exergy
efficiencies with other countries around the world is carried out. The results obtained are expected to yield
useful data in developing ‘energy-security’ policy targeting towards sustainable development in the hands of
energy policy makers of the country.
II. THEORETICAL AND MATHEMATICAL FORMULATION OF EXERGY ANALYSIS
2.1 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 to a specified final state in equilibrium within the surroundings. In simple words, we can
describe exergy as the ability to produce work. The available work that can be extracted from an energy source
depends on the state of its surroundings. The greater the temperature differences between an energy source and
its surroundings, the greater the capacity to extract work from the system.
Exergy analysis permits many of the shortcomings of energy analysis to be overcome. Exergy analysis
is based on the second law of thermodynamics, and is useful in identifying the causes, locations and
magnitudes of process inefficiencies which are not revealed by energy analysis alone based on first law of
thermodynamics. The exergy associated with an energy quantity is a quantitative assessment of its usefulness
or quality. 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.
Abstract: The present article is dedicated for evaluating the transportation sector of India 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 21.30 to
30.03%. When compared with other neighbouring countries, such as Saudi Arabia, Malaysia and Turkey,
the Indian transport sector is the least efficient. Such difference is inevitable due to dissimilar transport
structure in these countries. It is expected that that the results of this study will be helpful in developing
highly useful and productive planning for future energy policies, especially for the transportation sector.
This, in turn, will help achieve the ‘energy-security’ goal of the country.
Keywords: Energy, Exergy, Efficiency, Sectoral energy use, Transport sector of India.
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 8|
2.2 Energy and exergy values for commodities in macrosystems
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 = γfHf (1)
where γf 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 γf 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.*
Fuel Hf
(kJ/kg)
Chemical exergy (kJ/kg) γf
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
* For a reference-environment temperature of 25◦
C, pressure of 1 atm and chemical composition as defined in
the text. Source: Reistad (1975). [4]
2.3 The reference environment for macrosystems
The reference environment used in many assessments of macrosystems is based on the model of
Gaggioli and Petit (1977), which has a temperature T0=25◦C, pressureP0=1 atm and a chemical composition
consisting of air saturated with water vapor, and the following condensed phases at 25◦C 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 10◦C. [3, 5]
2.4 Efficiencies for devices in macrosystems
Energy η and exergy ψ efficiencies for the principal processes in macrosystems are usually based on
standard definitions:
η = (Energy in products) / (Total energy input)
(2)
ψ = (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 γf 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
ηh,e = Qp/We
(4)
and
ψh,e = Ex
Qp
/Ex
We
= (1 − T0/Tp)Qp/We
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 9|
Combining these expressions yields
ψh,e = (1 − T0/Tp)ηh,e
(5)
For fuel heating, these efficiencies are
ηh,f = Qp/mfHf
(6)
and
ψh,f = ExQp
/mf exf
or
ψh,f = (1 − T0/Tp)Qp / (mfγfHf ) ≈ (1 − T0/Tp)ηh,f
(7)
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
ηc,e = Qp / We
(8)
ψc,e = ExQp
/ ExWe
= (1 − T0 / Tp) Qp / We
(9)
or
ψc,e = (1 − T0 / Tp) ηc,e
(10)
Work production
Electric and fossil fuel work production processes produce shaft work W. The efficiencies for shaft work
production from electricity are
ηm,e = W / We
(11)
ψm,e = ExW
/ ExWe
= W / We = ηm,e
(12)
For fuel-based work production, these efficiencies are
ηm,f = W / mf Hf
(13)
ψm,f = ExW
/ mf exf = W/mf γf Hf ≈ ηm,f
(14)
Electricity generation
The efficiencies for electricity generation from fuel are
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 10|
ηe,f = We / mfHf
(15)
ψe,f = ExWe
/mf exf = We/mf γf Hf ≈ ηe,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 Δke
in a stream of matter ms, are as follows:
ηke,f = ms Δkes / mfHf
(17)
ψke,f = ms Δkes / mf exf = ms Δkes / mf γf Hf ≈ ηke,f
(18)
III. METHODOLOGY AND DATA SOURCES
3.1 Analysis of the Transportation Sector
Energy and exergy utilization in the transportation sector is evaluated and analyzed. The
transportation sector in India is composed of mainly International aviation, Domestic aviation, Pipeline
transport, Roadways and Railways which uses mainly 3 types of fuels, viz. High speed diesel oil (HSDO), Light
diesel oil (LDO) and Furnace oil (FO). Another type of fuel that is used is Low sulphur heavy stock oil,
however this fuel has not been considered as it has no contribution in the transportation sector.
Mean energy and exergy efficiencies are calculated by multiplying the energy used in each mode by
the corresponding efficiency. Then, these values are added to obtain the overall efficiency of the transportation
sector.
3.2 Energy efficiencies for the transportation sector
Table-2 provides energy efficiencies for the various types of fuels in the modes of transportation.
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, vehicles
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 Transport Sector (Process and operating data) [2]
Fuel/Petroleum product Rated Load/Efficiency
(%)
Estimated Operating
Load/Efficiency (%)
High speed diesel oil 28 22
Light diesel oil 28 22
Fuel oil - 15
3.3 Data sources
Amount of fuel consumption by different machineries used in the transportation activities are
collected from Energy statistics of India 2013 and presented in Table-3.
Table-3: Energy consumption data for Transport Sector in India for 2005-2011. [1]
Year Petroleum Product Consumption
(‘000 tonnes)
2005 High speed diesel oil 4264
Light diesel oil 52
Fuel oil 478
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 11|
2006 High speed diesel oil 4316
Light diesel oil 53
Fuel oil 502
2007 High speed diesel oil 5003
Light diesel oil 35
Fuel oil 315
2008 High speed diesel oil 5292
Light diesel oil 15
Fuel oil 469
2009 High speed diesel oil 5365
Light diesel oil 6
Fuel oil 560
2010 High speed diesel oil 5416
Light diesel oil 5
Fuel oil 780
2011 High speed diesel oil 5528
Light diesel oil 3
Fuel oil 371
3.4 Steps and procedures 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.
Table-4: Energy consumption data for Transport Sector in India for 2005-2011. [1, 2]
Year
Petroleum
Product
Consumption
(‘000 tonnes)
Energy Consumption Energy Efficiency
PJ % Rated
Load
Estimated
Operating
Load
2005 High speed
diesel oil
4264 178.53 88.67 28 22
Light diesel
oil
52 2.81 1.4 28 22
Fuel oil 478 20 9.93 - 15
2006 High speed
diesel oil
4316 180.71 88.61 28 22
Light diesel
oil
53 2.22 1.09 28 22
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 12|
Fuel oil 502 21 10.3 - 15
2007 High speed
diesel oil
5003 209.47 93.46 28 22
Light diesel
oil
35 1.46 0.64 28 22
Fuel oil 315 13.19 5.9 - 15
2008 High speed
diesel oil
5292 221.58 91.61 28 22
Light diesel
oil
15 0.63 0.26 28 22
Fuel oil 469 19.64 8.13 - 15
2009 High speed
diesel oil
5365 224.63 90.45 28 22
Light diesel
oil
6 0.25 0.11 28 22
Fuel oil 560 23.45 9.44 - 15
2010 High speed
diesel oil
5416 226.77 87.34 28 22
Light diesel
oil
5 0.21 0.08 28 22
Fuel oil 780 32.66 12.58 - 15
2011 High speed
diesel oil
5528 231.46 93.66 28 22
Light diesel
oil
3 0.125 0.06 28 22
Fuel oil 371 15.53 6.28 - 15
IV. Data Analysis, Results And Discussions
4.1 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 transport sector in the year 2010, e.g., is calculated using equation: η0
= η HSDO +
η LDO+ η FO.
η0 = (0.8734 x 22) + (0.0008 x 22) + (0.1258 x 15) = 21.119% ≈ 21.12%
4.2 Mean and overall exergy efficiencies
Before evaluating the overall mean exergy efficiencies for the transportation sector, it is noted that the
outputs of transportation devices are in the form of kinetic energy (shaft work). The exergy associated with
shaft work (W) is by definition equal to the energy.
i.e: ExW
= W
Thus, for electrical shaft work production, the energy and exergy efficiencies of transportation devices can be
shown to be identical.
ηm,e = W / We
ψm,e = Exw
/ ExWe
= W / We = ηm,e
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 13|
ψm,e = ηm,e
For fossil fueled shaft work production in transportation devices, the exergy efficiency can be shown to be
similar to the energy efficiency:
ηm,f = W/mf.Hf
ψm,f = Exw
/ mf.Hf.γf
When γf is unity (as is often assumed for most fuels). [Rosen, 1992]. [6]
ψm,f = ηm,f
Hence, η0 = ψ0
Thus, the overall mean exergy efficiencies for the transportation sector are equal to the overall mean energy
efficiencies.
Based on the data listed in Table-4, the weighted mean energy efficiency for the transport sector in the year
2010, e.g., is calculated using equation: ψ0 = ψ HSDO + ψ LDO+ ψ FO.
Ψ0 = (0.8734 x 22) + (0.0008 x 22) + (0.1258 x 15) = 21.119% ≈ 21.12%
Fig. 1 Overall mean energy and exergy efficiencies for the transport sector for 2005-2011
4.3 Comparison with other countries
Sector and overall energy and exergy efficiencies for India, Saudi Arabia, Malaysia and Turkey are
compared. 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.
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 14|
Fig. 2: Comparison of overall energy and exergy efficiencies for the industrial sector of India, Saudi Arabia,
Malaysia and Turkey. [1, 2]
When compared with other neighboring countries, such as Saudi Arabia and Malaysia, the transport
sector is less efficient. Such difference is inevitable due to dissimilar structure of the modes of transportation
in these countries. It is expected that that the results of this study will be helpful in developing highly
applicable and productive planning for future energy policies, especially for the Residential, Agricultural ,
Public and private and Utility sectors.
V. 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 efficiency and the overall mean exergy efficiency in
the Indian transportation sector for the period 2005-2011 is 22.55%. This study also shows that airway
transportation contribution should be increased to improve the overall energy and exergy efficiencies of the
Indian transport sector. It is very necessary in the light of the results of this work that Indian policy makers
review the issue of mass importation of used vehicles into the country. All efforts should also be made to ease
air transportation and make it affordable for Indians. The Indian railway system should also be resuscitated for
cheap and affordable transportation of goods and passengers.
Acknowledgements
The authors wish to acknowledge the support provided by Jalpaiguri Government Engineering
College, Jalpaiguri, West Bengal-735101 and West Bengal University of Technology (WBUT).
REFERENCES
Books:
[1] Energy Statistics. 2013, Central Statistics Office, National Statistical Organization, (Ministry of Statistics and
Programme Implementation, Government of India, 2013).
[2] Ibrahim Dincer and Marc A. Rosen. June 2007. Exergy, energy, environment and sustainable development.
(Elsevier, 2007).
Journal Papers:
[3] Dincer, I., Hussain, M.M., Al-Zaharnah, I., 2004. Energy and exergy utilization in transportation sector of Saudi
Arabia. Applied Thermal Engineering 24, pp. 525–538.
An Application of Energy and Exergy Analysis of Transport Sector of India
| IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 15|
[4] Reistad GM. 1975. Available energy conversion and utilization in the United States. J.Eng. Power 97, pp. 429–434.
[5] Gaggioli R.A., Petit PJ. 1977. Use the second law first. Chemtech7, pp. 496–506.
[6] Rosen MA. 1992. Evaluation of energy utilization efficiency in Canada using energy and exergy analyses. Energy-
The International Journal 17:pp.339–350.
[7] Gaggioli, R.A., 1998. Available energy and exergy. International Journal of Applied Thermodynamics 1, pp. 1–8.
[8] Rosen MA. 1992b. Appropriate thermodynamic performance measures for closed systems for thermal energy
storage. ASME Journal of Solar Energy Engineering 114:pp.100–105.
[9] Wall G. 1990. Exergy conversion in the Japanese society. Energy-The International Journal 15: pp. 435–444.
[10] Wall G. 1991. Exergy conversions in the Finnish, Japanese and Swedish societies. OPUSCULA Exergy Papers, pp.
1–11.
[11] van Gool W. 1997. Energy policy: fairly tales and factualities. Innovation and Technology-Strategies and Policies,
pp. 93– 105.
[12] Wall G. 1993. Exergy, ecology and democracy-concepts of a vital society. ENSEC’93: International Conference on
Energy Systems and Ecology, July 5–9, Cracow, Poland, pp.111–121.
[13] Rosen MA, Le MN. 1995. Efficiency measures for processes integrating combined heat and power and district
cooling. Thermodynamics and the Design, Analysis and Improvement of Energy Systems, AES-Vol. 35, American
Society of Mechanical Engineers: New York, pp.423–434.

More Related Content

What's hot

Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...CrimsonpublishersMCDA
 
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...Agriculture Journal IJOEAR
 
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...Basrah University for Oil and Gas
 
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...ijceronline
 
Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...IJECEIAES
 
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...IJERA Editor
 
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...ertekg
 
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET Journal
 
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...Modification of Cost Equation for Optimization of Cutting Parameters in Turni...
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...IJLT EMAS
 
An energy-efficient flow shop scheduling using hybrid Harris hawks optimization
An energy-efficient flow shop scheduling using hybrid Harris hawks optimizationAn energy-efficient flow shop scheduling using hybrid Harris hawks optimization
An energy-efficient flow shop scheduling using hybrid Harris hawks optimizationjournalBEEI
 
Case-based reasoning system for prediction of fuel consumption by haulage tru...
Case-based reasoning system for prediction of fuel consumption by haulage tru...Case-based reasoning system for prediction of fuel consumption by haulage tru...
Case-based reasoning system for prediction of fuel consumption by haulage tru...IJECEIAES
 
Incorporating uncertainties in the transition towards a clean European energy...
Incorporating uncertainties in the transition towards a clean European energy...Incorporating uncertainties in the transition towards a clean European energy...
Incorporating uncertainties in the transition towards a clean European energy...IEA-ETSAP
 
comminution_energy-recovery_v8
comminution_energy-recovery_v8comminution_energy-recovery_v8
comminution_energy-recovery_v8Nicolas Tremblay
 
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...ijiert bestjournal
 
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...Barhm Mohamad
 
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector Model for Evaluating CO2 Emissions and the Projection of the Transport Sector
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector IJECEIAES
 

What's hot (19)

Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...
 
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...
A computer Model of Fuel Consumption Estimation for Different Agricultural Fa...
 
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...
A novel hybrid modelling structure fabricated by using takagi sugeno fuzzy to...
 
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
 
Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...Comparative study of the price penalty factors approaches for Bi-objective di...
Comparative study of the price penalty factors approaches for Bi-objective di...
 
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
Cost Aware Expansion Planning with Renewable DGs using Particle Swarm Optimiz...
 
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
 
Ll1411
Ll1411Ll1411
Ll1411
 
Novel technique for hill climbing search to reach maximum power point tracking
Novel technique for hill climbing search to reach maximum power point trackingNovel technique for hill climbing search to reach maximum power point tracking
Novel technique for hill climbing search to reach maximum power point tracking
 
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
 
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...Modification of Cost Equation for Optimization of Cutting Parameters in Turni...
Modification of Cost Equation for Optimization of Cutting Parameters in Turni...
 
An energy-efficient flow shop scheduling using hybrid Harris hawks optimization
An energy-efficient flow shop scheduling using hybrid Harris hawks optimizationAn energy-efficient flow shop scheduling using hybrid Harris hawks optimization
An energy-efficient flow shop scheduling using hybrid Harris hawks optimization
 
Case-based reasoning system for prediction of fuel consumption by haulage tru...
Case-based reasoning system for prediction of fuel consumption by haulage tru...Case-based reasoning system for prediction of fuel consumption by haulage tru...
Case-based reasoning system for prediction of fuel consumption by haulage tru...
 
Incorporating uncertainties in the transition towards a clean European energy...
Incorporating uncertainties in the transition towards a clean European energy...Incorporating uncertainties in the transition towards a clean European energy...
Incorporating uncertainties in the transition towards a clean European energy...
 
comminution_energy-recovery_v8
comminution_energy-recovery_v8comminution_energy-recovery_v8
comminution_energy-recovery_v8
 
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...
OVERVIEW OF RENEWABLE ENERGY SOURCES IN THE PERSPECTIVE OF CARBON FOOT PRINTI...
 
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...
Exhaust System Muffler Volume Optimization of Light Commercial passenger Car ...
 
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector Model for Evaluating CO2 Emissions and the Projection of the Transport Sector
Model for Evaluating CO2 Emissions and the Projection of the Transport Sector
 
Gy3312241229
Gy3312241229Gy3312241229
Gy3312241229
 

Viewers also liked

Effective Devops - Velocity New York 2015
Effective Devops - Velocity New York 2015 Effective Devops - Velocity New York 2015
Effective Devops - Velocity New York 2015 Jennifer Davis
 
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...IJMER
 
Optimization of Factors Affecting Glucuronic Acid Production in Yogurt Ferme...
Optimization of Factors Affecting Glucuronic Acid Production in  Yogurt Ferme...Optimization of Factors Affecting Glucuronic Acid Production in  Yogurt Ferme...
Optimization of Factors Affecting Glucuronic Acid Production in Yogurt Ferme...IJMER
 
Secure File Sharing In Cloud Using Encryption with Digital Signature
Secure File Sharing In Cloud Using Encryption with Digital  Signature Secure File Sharing In Cloud Using Encryption with Digital  Signature
Secure File Sharing In Cloud Using Encryption with Digital Signature IJMER
 
Control Chart Analysis of Ek/M/1 Queueing Model
Control Chart Analysis of Ek/M/1 Queueing Model Control Chart Analysis of Ek/M/1 Queueing Model
Control Chart Analysis of Ek/M/1 Queueing Model IJMER
 
Design and Implementation of HDLC Controller by Using Crc-16
Design and Implementation of HDLC Controller by Using Crc-16Design and Implementation of HDLC Controller by Using Crc-16
Design and Implementation of HDLC Controller by Using Crc-16IJMER
 
Ct31415419
Ct31415419Ct31415419
Ct31415419IJMER
 
How To Talk To Anyone - Book Review
How To Talk To Anyone - Book ReviewHow To Talk To Anyone - Book Review
How To Talk To Anyone - Book ReviewIES MCRC
 
Effective DevOps - Pittsburgh Techfest 2016
Effective DevOps - Pittsburgh Techfest 2016Effective DevOps - Pittsburgh Techfest 2016
Effective DevOps - Pittsburgh Techfest 2016Jennifer Davis
 
Χαλίλ Γκιμπράν
Χαλίλ ΓκιμπράνΧαλίλ Γκιμπράν
Χαλίλ ΓκιμπράνPopi Kaza
 
Aa32604610
Aa32604610Aa32604610
Aa32604610IJMER
 
Cx31436438
Cx31436438Cx31436438
Cx31436438IJMER
 
An Efficient top- k Query Processing in Distributed Wireless Sensor Networks
An Efficient top- k Query Processing in Distributed Wireless  Sensor NetworksAn Efficient top- k Query Processing in Distributed Wireless  Sensor Networks
An Efficient top- k Query Processing in Distributed Wireless Sensor NetworksIJMER
 
Improving overall equipment effectiveness by Implementing Total Productive Ma...
Improving overall equipment effectiveness by Implementing Total Productive Ma...Improving overall equipment effectiveness by Implementing Total Productive Ma...
Improving overall equipment effectiveness by Implementing Total Productive Ma...IJMER
 
Testing of Already Existing and Developing New Compaction Equations during C...
Testing of Already Existing and Developing New Compaction  Equations during C...Testing of Already Existing and Developing New Compaction  Equations during C...
Testing of Already Existing and Developing New Compaction Equations during C...IJMER
 
Cl31377380
Cl31377380Cl31377380
Cl31377380IJMER
 
The beginig
The beginigThe beginig
The beginigtaha009
 
Dq2644974501
Dq2644974501Dq2644974501
Dq2644974501IJMER
 

Viewers also liked (20)

Effective Devops - Velocity New York 2015
Effective Devops - Velocity New York 2015 Effective Devops - Velocity New York 2015
Effective Devops - Velocity New York 2015
 
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...
Comparison of Spatial Interpolation Techniques - A Case Study of Anantnag Dis...
 
Sience academy
Sience academySience academy
Sience academy
 
Optimization of Factors Affecting Glucuronic Acid Production in Yogurt Ferme...
Optimization of Factors Affecting Glucuronic Acid Production in  Yogurt Ferme...Optimization of Factors Affecting Glucuronic Acid Production in  Yogurt Ferme...
Optimization of Factors Affecting Glucuronic Acid Production in Yogurt Ferme...
 
Secure File Sharing In Cloud Using Encryption with Digital Signature
Secure File Sharing In Cloud Using Encryption with Digital  Signature Secure File Sharing In Cloud Using Encryption with Digital  Signature
Secure File Sharing In Cloud Using Encryption with Digital Signature
 
Control Chart Analysis of Ek/M/1 Queueing Model
Control Chart Analysis of Ek/M/1 Queueing Model Control Chart Analysis of Ek/M/1 Queueing Model
Control Chart Analysis of Ek/M/1 Queueing Model
 
Design and Implementation of HDLC Controller by Using Crc-16
Design and Implementation of HDLC Controller by Using Crc-16Design and Implementation of HDLC Controller by Using Crc-16
Design and Implementation of HDLC Controller by Using Crc-16
 
Ct31415419
Ct31415419Ct31415419
Ct31415419
 
How To Talk To Anyone - Book Review
How To Talk To Anyone - Book ReviewHow To Talk To Anyone - Book Review
How To Talk To Anyone - Book Review
 
Effective DevOps - Pittsburgh Techfest 2016
Effective DevOps - Pittsburgh Techfest 2016Effective DevOps - Pittsburgh Techfest 2016
Effective DevOps - Pittsburgh Techfest 2016
 
Χαλίλ Γκιμπράν
Χαλίλ ΓκιμπράνΧαλίλ Γκιμπράν
Χαλίλ Γκιμπράν
 
Aa32604610
Aa32604610Aa32604610
Aa32604610
 
Cx31436438
Cx31436438Cx31436438
Cx31436438
 
An Efficient top- k Query Processing in Distributed Wireless Sensor Networks
An Efficient top- k Query Processing in Distributed Wireless  Sensor NetworksAn Efficient top- k Query Processing in Distributed Wireless  Sensor Networks
An Efficient top- k Query Processing in Distributed Wireless Sensor Networks
 
Improving overall equipment effectiveness by Implementing Total Productive Ma...
Improving overall equipment effectiveness by Implementing Total Productive Ma...Improving overall equipment effectiveness by Implementing Total Productive Ma...
Improving overall equipment effectiveness by Implementing Total Productive Ma...
 
Testing of Already Existing and Developing New Compaction Equations during C...
Testing of Already Existing and Developing New Compaction  Equations during C...Testing of Already Existing and Developing New Compaction  Equations during C...
Testing of Already Existing and Developing New Compaction Equations during C...
 
Cl31377380
Cl31377380Cl31377380
Cl31377380
 
Eleni
EleniEleni
Eleni
 
The beginig
The beginigThe beginig
The beginig
 
Dq2644974501
Dq2644974501Dq2644974501
Dq2644974501
 

Similar to An Application of Energy and Exergy Analysis of Transport Sector of India

The Energy Strategy of India
The Energy Strategy of IndiaThe Energy Strategy of India
The Energy Strategy of IndiaIJERA Editor
 
Exergy analysis and igcc plant technology to improve the efficiency and to re...
Exergy analysis and igcc plant technology to improve the efficiency and to re...Exergy analysis and igcc plant technology to improve the efficiency and to re...
Exergy analysis and igcc plant technology to improve the efficiency and to re...eSAT Publishing House
 
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...Gurdal Ertek
 
Energy Policy in India
Energy Policy in IndiaEnergy Policy in India
Energy Policy in IndiaIOSR Journals
 
Energy Policy in India
Energy Policy in IndiaEnergy Policy in India
Energy Policy in IndiaIOSR Journals
 
Analysis of factors for enhancing energy conservation in indian railway works...
Analysis of factors for enhancing energy conservation in indian railway works...Analysis of factors for enhancing energy conservation in indian railway works...
Analysis of factors for enhancing energy conservation in indian railway works...eSAT Publishing House
 
Does price shock in electricity sector correct the consumption
Does price shock in electricity sector correct the consumptionDoes price shock in electricity sector correct the consumption
Does price shock in electricity sector correct the consumptionAlexander Decker
 
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...IRJET Journal
 
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...ETOU electricity tariff for manufacturing load shifting strategy using ACO al...
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...journalBEEI
 
Fuzzy driver command interpreter
Fuzzy driver command interpreterFuzzy driver command interpreter
Fuzzy driver command interpreterprj_publication
 
An integrated OPF dispatching model with wind power and demand response for d...
An integrated OPF dispatching model with wind power and demand response for d...An integrated OPF dispatching model with wind power and demand response for d...
An integrated OPF dispatching model with wind power and demand response for d...IJECEIAES
 
Developing model for fuel consumption optimization in aviation
Developing model for fuel consumption optimization in aviationDeveloping model for fuel consumption optimization in aviation
Developing model for fuel consumption optimization in aviationAlexander Decker
 
1-s2.0-S2772783122000462-main-2.pdf
1-s2.0-S2772783122000462-main-2.pdf1-s2.0-S2772783122000462-main-2.pdf
1-s2.0-S2772783122000462-main-2.pdflvskumar1
 
An Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
An Effectively Modified Firefly Algorithm for Economic Load Dispatch ProblemAn Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
An Effectively Modified Firefly Algorithm for Economic Load Dispatch ProblemTELKOMNIKA JOURNAL
 

Similar to An Application of Energy and Exergy Analysis of Transport Sector of India (20)

The Energy Strategy of India
The Energy Strategy of IndiaThe Energy Strategy of India
The Energy Strategy of India
 
1 s2.0-s1877042812009184-main
1 s2.0-s1877042812009184-main1 s2.0-s1877042812009184-main
1 s2.0-s1877042812009184-main
 
1 s2.0-s1877042812009184-main
1 s2.0-s1877042812009184-main1 s2.0-s1877042812009184-main
1 s2.0-s1877042812009184-main
 
Exergy analysis and igcc plant technology to improve the efficiency and to re...
Exergy analysis and igcc plant technology to improve the efficiency and to re...Exergy analysis and igcc plant technology to improve the efficiency and to re...
Exergy analysis and igcc plant technology to improve the efficiency and to re...
 
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
Insights into the Efficiencies of On-Shore Wind Turbines: A Data-Centric Anal...
 
I010136772
I010136772I010136772
I010136772
 
Energy Policy in India
Energy Policy in IndiaEnergy Policy in India
Energy Policy in India
 
Energy Policy in India
Energy Policy in IndiaEnergy Policy in India
Energy Policy in India
 
Analysis of factors for enhancing energy conservation in indian railway works...
Analysis of factors for enhancing energy conservation in indian railway works...Analysis of factors for enhancing energy conservation in indian railway works...
Analysis of factors for enhancing energy conservation in indian railway works...
 
Does price shock in electricity sector correct the consumption
Does price shock in electricity sector correct the consumptionDoes price shock in electricity sector correct the consumption
Does price shock in electricity sector correct the consumption
 
C33008012
C33008012C33008012
C33008012
 
40220140503009
4022014050300940220140503009
40220140503009
 
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...
Reconceptualizing the Application of Renewable Energy Sources in Industry: A ...
 
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...ETOU electricity tariff for manufacturing load shifting strategy using ACO al...
ETOU electricity tariff for manufacturing load shifting strategy using ACO al...
 
Fuzzy driver command interpreter
Fuzzy driver command interpreterFuzzy driver command interpreter
Fuzzy driver command interpreter
 
An integrated OPF dispatching model with wind power and demand response for d...
An integrated OPF dispatching model with wind power and demand response for d...An integrated OPF dispatching model with wind power and demand response for d...
An integrated OPF dispatching model with wind power and demand response for d...
 
Developing model for fuel consumption optimization in aviation
Developing model for fuel consumption optimization in aviationDeveloping model for fuel consumption optimization in aviation
Developing model for fuel consumption optimization in aviation
 
1-s2.0-S2772783122000462-main-2.pdf
1-s2.0-S2772783122000462-main-2.pdf1-s2.0-S2772783122000462-main-2.pdf
1-s2.0-S2772783122000462-main-2.pdf
 
An Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
An Effectively Modified Firefly Algorithm for Economic Load Dispatch ProblemAn Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
An Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem
 
Lca electric vehicles
Lca electric vehiclesLca electric vehicles
Lca electric vehicles
 

More from IJMER

A Study on Translucent Concrete Product and Its Properties by Using Optical F...
A Study on Translucent Concrete Product and Its Properties by Using Optical F...A Study on Translucent Concrete Product and Its Properties by Using Optical F...
A Study on Translucent Concrete Product and Its Properties by Using Optical F...IJMER
 
Developing Cost Effective Automation for Cotton Seed Delinting
Developing Cost Effective Automation for Cotton Seed DelintingDeveloping Cost Effective Automation for Cotton Seed Delinting
Developing Cost Effective Automation for Cotton Seed DelintingIJMER
 
Study & Testing Of Bio-Composite Material Based On Munja Fibre
Study & Testing Of Bio-Composite Material Based On Munja FibreStudy & Testing Of Bio-Composite Material Based On Munja Fibre
Study & Testing Of Bio-Composite Material Based On Munja FibreIJMER
 
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)IJMER
 
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...IJMER
 
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...IJMER
 
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...IJMER
 
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...IJMER
 
Static Analysis of Go-Kart Chassis by Analytical and Solid Works Simulation
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationStatic Analysis of Go-Kart Chassis by Analytical and Solid Works Simulation
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationIJMER
 
High Speed Effortless Bicycle
High Speed Effortless BicycleHigh Speed Effortless Bicycle
High Speed Effortless BicycleIJMER
 
Integration of Struts & Spring & Hibernate for Enterprise Applications
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIntegration of Struts & Spring & Hibernate for Enterprise Applications
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIJMER
 
Microcontroller Based Automatic Sprinkler Irrigation System
Microcontroller Based Automatic Sprinkler Irrigation SystemMicrocontroller Based Automatic Sprinkler Irrigation System
Microcontroller Based Automatic Sprinkler Irrigation SystemIJMER
 
On some locally closed sets and spaces in Ideal Topological Spaces
On some locally closed sets and spaces in Ideal Topological SpacesOn some locally closed sets and spaces in Ideal Topological Spaces
On some locally closed sets and spaces in Ideal Topological SpacesIJMER
 
Intrusion Detection and Forensics based on decision tree and Association rule...
Intrusion Detection and Forensics based on decision tree and Association rule...Intrusion Detection and Forensics based on decision tree and Association rule...
Intrusion Detection and Forensics based on decision tree and Association rule...IJMER
 
Natural Language Ambiguity and its Effect on Machine Learning
Natural Language Ambiguity and its Effect on Machine LearningNatural Language Ambiguity and its Effect on Machine Learning
Natural Language Ambiguity and its Effect on Machine LearningIJMER
 
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcess
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcessEvolvea Frameworkfor SelectingPrime Software DevelopmentProcess
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcessIJMER
 
Material Parameter and Effect of Thermal Load on Functionally Graded Cylinders
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersMaterial Parameter and Effect of Thermal Load on Functionally Graded Cylinders
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersIJMER
 
Studies On Energy Conservation And Audit
Studies On Energy Conservation And AuditStudies On Energy Conservation And Audit
Studies On Energy Conservation And AuditIJMER
 
An Implementation of I2C Slave Interface using Verilog HDL
An Implementation of I2C Slave Interface using Verilog HDLAn Implementation of I2C Slave Interface using Verilog HDL
An Implementation of I2C Slave Interface using Verilog HDLIJMER
 
Discrete Model of Two Predators competing for One Prey
Discrete Model of Two Predators competing for One PreyDiscrete Model of Two Predators competing for One Prey
Discrete Model of Two Predators competing for One PreyIJMER
 

More from IJMER (20)

A Study on Translucent Concrete Product and Its Properties by Using Optical F...
A Study on Translucent Concrete Product and Its Properties by Using Optical F...A Study on Translucent Concrete Product and Its Properties by Using Optical F...
A Study on Translucent Concrete Product and Its Properties by Using Optical F...
 
Developing Cost Effective Automation for Cotton Seed Delinting
Developing Cost Effective Automation for Cotton Seed DelintingDeveloping Cost Effective Automation for Cotton Seed Delinting
Developing Cost Effective Automation for Cotton Seed Delinting
 
Study & Testing Of Bio-Composite Material Based On Munja Fibre
Study & Testing Of Bio-Composite Material Based On Munja FibreStudy & Testing Of Bio-Composite Material Based On Munja Fibre
Study & Testing Of Bio-Composite Material Based On Munja Fibre
 
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
 
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...
 
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...
 
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...
 
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...
 
Static Analysis of Go-Kart Chassis by Analytical and Solid Works Simulation
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationStatic Analysis of Go-Kart Chassis by Analytical and Solid Works Simulation
Static Analysis of Go-Kart Chassis by Analytical and Solid Works Simulation
 
High Speed Effortless Bicycle
High Speed Effortless BicycleHigh Speed Effortless Bicycle
High Speed Effortless Bicycle
 
Integration of Struts & Spring & Hibernate for Enterprise Applications
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIntegration of Struts & Spring & Hibernate for Enterprise Applications
Integration of Struts & Spring & Hibernate for Enterprise Applications
 
Microcontroller Based Automatic Sprinkler Irrigation System
Microcontroller Based Automatic Sprinkler Irrigation SystemMicrocontroller Based Automatic Sprinkler Irrigation System
Microcontroller Based Automatic Sprinkler Irrigation System
 
On some locally closed sets and spaces in Ideal Topological Spaces
On some locally closed sets and spaces in Ideal Topological SpacesOn some locally closed sets and spaces in Ideal Topological Spaces
On some locally closed sets and spaces in Ideal Topological Spaces
 
Intrusion Detection and Forensics based on decision tree and Association rule...
Intrusion Detection and Forensics based on decision tree and Association rule...Intrusion Detection and Forensics based on decision tree and Association rule...
Intrusion Detection and Forensics based on decision tree and Association rule...
 
Natural Language Ambiguity and its Effect on Machine Learning
Natural Language Ambiguity and its Effect on Machine LearningNatural Language Ambiguity and its Effect on Machine Learning
Natural Language Ambiguity and its Effect on Machine Learning
 
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcess
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcessEvolvea Frameworkfor SelectingPrime Software DevelopmentProcess
Evolvea Frameworkfor SelectingPrime Software DevelopmentProcess
 
Material Parameter and Effect of Thermal Load on Functionally Graded Cylinders
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersMaterial Parameter and Effect of Thermal Load on Functionally Graded Cylinders
Material Parameter and Effect of Thermal Load on Functionally Graded Cylinders
 
Studies On Energy Conservation And Audit
Studies On Energy Conservation And AuditStudies On Energy Conservation And Audit
Studies On Energy Conservation And Audit
 
An Implementation of I2C Slave Interface using Verilog HDL
An Implementation of I2C Slave Interface using Verilog HDLAn Implementation of I2C Slave Interface using Verilog HDL
An Implementation of I2C Slave Interface using Verilog HDL
 
Discrete Model of Two Predators competing for One Prey
Discrete Model of Two Predators competing for One PreyDiscrete Model of Two Predators competing for One Prey
Discrete Model of Two Predators competing for One Prey
 

Recently uploaded

UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Work Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvWork Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvLewisJB
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxPurva Nikam
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...121011101441
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfme23b1001
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 

Recently uploaded (20)

UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Work Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvvWork Experience-Dalton Park.pptxfvvvvvvv
Work Experience-Dalton Park.pptxfvvvvvvv
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptx
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...Instrumentation, measurement and control of bio process parameters ( Temperat...
Instrumentation, measurement and control of bio process parameters ( Temperat...
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdf
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 

An Application of Energy and Exergy Analysis of Transport Sector of India

  • 1. International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 7| An Application of Energy and Exergy Analysis of Transport Sector of India Dr. Soupayan Mitra1 , Devashish Gautam2 1 (Associate Professor, Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College/WBUT, India 2 (P.G. Scholar, Dept. of Mechanical Engineering, Jalpaiguri Govt. Engineering College/WBUT, India I. INTRODUCTION India’s transport sector is large and diverse; it caters to the needs of 1.2 billion people. In 2007, the sector contributed about 5.5 percent to the nation’s GDP, with road transportation contributing the lion’s share. Good physical connectivity in the urban and rural areas is essential for economic growth. Since the early 1990s, India's growing economy has witnessed a rise in demand for transport infrastructure and services. However, the sector has not been able to keep pace with rising demand and is proving to be a drag on the economy. Major improvements in the sector are required to support the country's continued economic growth and to reduce poverty. [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 consultation of a very large number of published references taken from archival journals, technical reports, lecture series etc., considered first of its kind in India since there is no such study on energy and exergy utilizations for the transportation sub-sector of India. Furthermore, comparison of obtained results of energy and exergy efficiencies with other countries around the world is carried out. The results obtained are expected to yield useful data in developing ‘energy-security’ policy targeting towards sustainable development in the hands of energy policy makers of the country. II. THEORETICAL AND MATHEMATICAL FORMULATION OF EXERGY ANALYSIS 2.1 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 to a specified final state in equilibrium within the surroundings. In simple words, we can describe exergy as the ability to produce work. The available work that can be extracted from an energy source depends on the state of its surroundings. The greater the temperature differences between an energy source and its surroundings, the greater the capacity to extract work from the system. Exergy analysis permits many of the shortcomings of energy analysis to be overcome. Exergy analysis is based on the second law of thermodynamics, and is useful in identifying the causes, locations and magnitudes of process inefficiencies which are not revealed by energy analysis alone based on first law of thermodynamics. The exergy associated with an energy quantity is a quantitative assessment of its usefulness or quality. 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. Abstract: The present article is dedicated for evaluating the transportation sector of India 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 21.30 to 30.03%. When compared with other neighbouring countries, such as Saudi Arabia, Malaysia and Turkey, the Indian transport sector is the least efficient. Such difference is inevitable due to dissimilar transport structure in these countries. It is expected that that the results of this study will be helpful in developing highly useful and productive planning for future energy policies, especially for the transportation sector. This, in turn, will help achieve the ‘energy-security’ goal of the country. Keywords: Energy, Exergy, Efficiency, Sectoral energy use, Transport sector of India.
  • 2. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 8| 2.2 Energy and exergy values for commodities in macrosystems 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 = γfHf (1) where γf 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 γf 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.* Fuel Hf (kJ/kg) Chemical exergy (kJ/kg) γf 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 * For a reference-environment temperature of 25◦ C, pressure of 1 atm and chemical composition as defined in the text. Source: Reistad (1975). [4] 2.3 The reference environment for macrosystems The reference environment used in many assessments of macrosystems is based on the model of Gaggioli and Petit (1977), which has a temperature T0=25◦C, pressureP0=1 atm and a chemical composition consisting of air saturated with water vapor, and the following condensed phases at 25◦C 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 10◦C. [3, 5] 2.4 Efficiencies for devices in macrosystems Energy η and exergy ψ efficiencies for the principal processes in macrosystems are usually based on standard definitions: η = (Energy in products) / (Total energy input) (2) ψ = (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 γf 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 ηh,e = Qp/We (4) and ψh,e = Ex Qp /Ex We = (1 − T0/Tp)Qp/We
  • 3. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 9| Combining these expressions yields ψh,e = (1 − T0/Tp)ηh,e (5) For fuel heating, these efficiencies are ηh,f = Qp/mfHf (6) and ψh,f = ExQp /mf exf or ψh,f = (1 − T0/Tp)Qp / (mfγfHf ) ≈ (1 − T0/Tp)ηh,f (7) 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 ηc,e = Qp / We (8) ψc,e = ExQp / ExWe = (1 − T0 / Tp) Qp / We (9) or ψc,e = (1 − T0 / Tp) ηc,e (10) Work production Electric and fossil fuel work production processes produce shaft work W. The efficiencies for shaft work production from electricity are ηm,e = W / We (11) ψm,e = ExW / ExWe = W / We = ηm,e (12) For fuel-based work production, these efficiencies are ηm,f = W / mf Hf (13) ψm,f = ExW / mf exf = W/mf γf Hf ≈ ηm,f (14) Electricity generation The efficiencies for electricity generation from fuel are
  • 4. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 10| ηe,f = We / mfHf (15) ψe,f = ExWe /mf exf = We/mf γf Hf ≈ ηe,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 Δke in a stream of matter ms, are as follows: ηke,f = ms Δkes / mfHf (17) ψke,f = ms Δkes / mf exf = ms Δkes / mf γf Hf ≈ ηke,f (18) III. METHODOLOGY AND DATA SOURCES 3.1 Analysis of the Transportation Sector Energy and exergy utilization in the transportation sector is evaluated and analyzed. The transportation sector in India is composed of mainly International aviation, Domestic aviation, Pipeline transport, Roadways and Railways which uses mainly 3 types of fuels, viz. High speed diesel oil (HSDO), Light diesel oil (LDO) and Furnace oil (FO). Another type of fuel that is used is Low sulphur heavy stock oil, however this fuel has not been considered as it has no contribution in the transportation sector. Mean energy and exergy efficiencies are calculated by multiplying the energy used in each mode by the corresponding efficiency. Then, these values are added to obtain the overall efficiency of the transportation sector. 3.2 Energy efficiencies for the transportation sector Table-2 provides energy efficiencies for the various types of fuels in the modes of transportation. 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, vehicles 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 Transport Sector (Process and operating data) [2] Fuel/Petroleum product Rated Load/Efficiency (%) Estimated Operating Load/Efficiency (%) High speed diesel oil 28 22 Light diesel oil 28 22 Fuel oil - 15 3.3 Data sources Amount of fuel consumption by different machineries used in the transportation activities are collected from Energy statistics of India 2013 and presented in Table-3. Table-3: Energy consumption data for Transport Sector in India for 2005-2011. [1] Year Petroleum Product Consumption (‘000 tonnes) 2005 High speed diesel oil 4264 Light diesel oil 52 Fuel oil 478
  • 5. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 11| 2006 High speed diesel oil 4316 Light diesel oil 53 Fuel oil 502 2007 High speed diesel oil 5003 Light diesel oil 35 Fuel oil 315 2008 High speed diesel oil 5292 Light diesel oil 15 Fuel oil 469 2009 High speed diesel oil 5365 Light diesel oil 6 Fuel oil 560 2010 High speed diesel oil 5416 Light diesel oil 5 Fuel oil 780 2011 High speed diesel oil 5528 Light diesel oil 3 Fuel oil 371 3.4 Steps and procedures 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. Table-4: Energy consumption data for Transport Sector in India for 2005-2011. [1, 2] Year Petroleum Product Consumption (‘000 tonnes) Energy Consumption Energy Efficiency PJ % Rated Load Estimated Operating Load 2005 High speed diesel oil 4264 178.53 88.67 28 22 Light diesel oil 52 2.81 1.4 28 22 Fuel oil 478 20 9.93 - 15 2006 High speed diesel oil 4316 180.71 88.61 28 22 Light diesel oil 53 2.22 1.09 28 22
  • 6. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 12| Fuel oil 502 21 10.3 - 15 2007 High speed diesel oil 5003 209.47 93.46 28 22 Light diesel oil 35 1.46 0.64 28 22 Fuel oil 315 13.19 5.9 - 15 2008 High speed diesel oil 5292 221.58 91.61 28 22 Light diesel oil 15 0.63 0.26 28 22 Fuel oil 469 19.64 8.13 - 15 2009 High speed diesel oil 5365 224.63 90.45 28 22 Light diesel oil 6 0.25 0.11 28 22 Fuel oil 560 23.45 9.44 - 15 2010 High speed diesel oil 5416 226.77 87.34 28 22 Light diesel oil 5 0.21 0.08 28 22 Fuel oil 780 32.66 12.58 - 15 2011 High speed diesel oil 5528 231.46 93.66 28 22 Light diesel oil 3 0.125 0.06 28 22 Fuel oil 371 15.53 6.28 - 15 IV. Data Analysis, Results And Discussions 4.1 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 transport sector in the year 2010, e.g., is calculated using equation: η0 = η HSDO + η LDO+ η FO. η0 = (0.8734 x 22) + (0.0008 x 22) + (0.1258 x 15) = 21.119% ≈ 21.12% 4.2 Mean and overall exergy efficiencies Before evaluating the overall mean exergy efficiencies for the transportation sector, it is noted that the outputs of transportation devices are in the form of kinetic energy (shaft work). The exergy associated with shaft work (W) is by definition equal to the energy. i.e: ExW = W Thus, for electrical shaft work production, the energy and exergy efficiencies of transportation devices can be shown to be identical. ηm,e = W / We ψm,e = Exw / ExWe = W / We = ηm,e
  • 7. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 13| ψm,e = ηm,e For fossil fueled shaft work production in transportation devices, the exergy efficiency can be shown to be similar to the energy efficiency: ηm,f = W/mf.Hf ψm,f = Exw / mf.Hf.γf When γf is unity (as is often assumed for most fuels). [Rosen, 1992]. [6] ψm,f = ηm,f Hence, η0 = ψ0 Thus, the overall mean exergy efficiencies for the transportation sector are equal to the overall mean energy efficiencies. Based on the data listed in Table-4, the weighted mean energy efficiency for the transport sector in the year 2010, e.g., is calculated using equation: ψ0 = ψ HSDO + ψ LDO+ ψ FO. Ψ0 = (0.8734 x 22) + (0.0008 x 22) + (0.1258 x 15) = 21.119% ≈ 21.12% Fig. 1 Overall mean energy and exergy efficiencies for the transport sector for 2005-2011 4.3 Comparison with other countries Sector and overall energy and exergy efficiencies for India, Saudi Arabia, Malaysia and Turkey are compared. 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.
  • 8. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 14| Fig. 2: Comparison of overall energy and exergy efficiencies for the industrial sector of India, Saudi Arabia, Malaysia and Turkey. [1, 2] When compared with other neighboring countries, such as Saudi Arabia and Malaysia, the transport sector is less efficient. Such difference is inevitable due to dissimilar structure of the modes of transportation in these countries. It is expected that that the results of this study will be helpful in developing highly applicable and productive planning for future energy policies, especially for the Residential, Agricultural , Public and private and Utility sectors. V. 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 efficiency and the overall mean exergy efficiency in the Indian transportation sector for the period 2005-2011 is 22.55%. This study also shows that airway transportation contribution should be increased to improve the overall energy and exergy efficiencies of the Indian transport sector. It is very necessary in the light of the results of this work that Indian policy makers review the issue of mass importation of used vehicles into the country. All efforts should also be made to ease air transportation and make it affordable for Indians. The Indian railway system should also be resuscitated for cheap and affordable transportation of goods and passengers. Acknowledgements The authors wish to acknowledge the support provided by Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal-735101 and West Bengal University of Technology (WBUT). REFERENCES Books: [1] Energy Statistics. 2013, Central Statistics Office, National Statistical Organization, (Ministry of Statistics and Programme Implementation, Government of India, 2013). [2] Ibrahim Dincer and Marc A. Rosen. June 2007. Exergy, energy, environment and sustainable development. (Elsevier, 2007). Journal Papers: [3] Dincer, I., Hussain, M.M., Al-Zaharnah, I., 2004. Energy and exergy utilization in transportation sector of Saudi Arabia. Applied Thermal Engineering 24, pp. 525–538.
  • 9. An Application of Energy and Exergy Analysis of Transport Sector of India | IJMER | ISSN: 2249–6645 | www.ijmer.com | Vol. 4 | Iss. 6| June. 2014 | 15| [4] Reistad GM. 1975. Available energy conversion and utilization in the United States. J.Eng. Power 97, pp. 429–434. [5] Gaggioli R.A., Petit PJ. 1977. Use the second law first. Chemtech7, pp. 496–506. [6] Rosen MA. 1992. Evaluation of energy utilization efficiency in Canada using energy and exergy analyses. Energy- The International Journal 17:pp.339–350. [7] Gaggioli, R.A., 1998. Available energy and exergy. International Journal of Applied Thermodynamics 1, pp. 1–8. [8] Rosen MA. 1992b. Appropriate thermodynamic performance measures for closed systems for thermal energy storage. ASME Journal of Solar Energy Engineering 114:pp.100–105. [9] Wall G. 1990. Exergy conversion in the Japanese society. Energy-The International Journal 15: pp. 435–444. [10] Wall G. 1991. Exergy conversions in the Finnish, Japanese and Swedish societies. OPUSCULA Exergy Papers, pp. 1–11. [11] van Gool W. 1997. Energy policy: fairly tales and factualities. Innovation and Technology-Strategies and Policies, pp. 93– 105. [12] Wall G. 1993. Exergy, ecology and democracy-concepts of a vital society. ENSEC’93: International Conference on Energy Systems and Ecology, July 5–9, Cracow, Poland, pp.111–121. [13] Rosen MA, Le MN. 1995. Efficiency measures for processes integrating combined heat and power and district cooling. Thermodynamics and the Design, Analysis and Improvement of Energy Systems, AES-Vol. 35, American Society of Mechanical Engineers: New York, pp.423–434.