258
Int. J. Global Energy Issues, Vol. 26, Nos. 3/4, 2006
Prospects of wind energy in India
G.M. Joselin Herbert
Department of Mechanical Engineering
St. Joseph’s College of Engineering
Jeppiaar Nagar, Old Mamallapuram Road
Chennai–119, India
E-mail: joselindev@yahoo.co.in
S. Iniyan*
Department of Mechanical Engineering
Anna University
Chennai–25, India
E-mail: iniyan777@hotmail.com
*Corresponding author
E. Sreevalsan
Wind Resource Assessment
Centre for Wind Energy Technology (C-WET)
Government of India
Velacherry–Tambaram High Road
Chennai 601 302, India
E-mail: esree@cwet.res.in
S. Rajapandian
Department of Electrical and Electronic Engineering
Sathyabama Institute of Science and Technology
Deemed University
Jeppiaar Nagar, Old Mamallapuram Road
Chennai–119, India
E-mail: sraja_pandian@yahoo.co.in
Abstract: This paper is a modest attempt to study the growth and performance
of wind farms in India. India occupies the 5th place in the world in wind energy
generation after Germany, the USA, Denmark and Spain, and has an installed
capacity of more than 2485 MW of wind energy, comprising both commercial
projects (2418 MW) and demonstration projects (65.415 MW) as of 31 March
2004. This paper discusses the progress mode, wind resource assessment,
technological development, environmental benefits and economics in the area
of wind energy and also the policies of wind power development in India. It
also deals with the performance and Pareto analysis of the wind farm located
at Muppandal (in the southern part of India), with an installed capacity of
16.525 MW. It consists of 53 Wind Electric Generators (WEGs).
Copyright © 2006 Inderscience Enterprises Ltd.
Prospects of wind energy in India
259
Keywords: wind resource assessment; wind power development; wind
electric generator.
Reference to this paper should be made as follows: Herbert, G.M.J., Iniyan, S.,
Sreevalsan, E. and Rajapandian, S. (2006) ‘Prospects of wind energy in India’,
Int. J. Global Energy Issues, Vol. 26, Nos. 3/4, pp.258–287.
Biographical notes: G.M. Joselin Herbert holds a Master’s degree in Thermal
Engineering. Currently, he is Assistant Professor in the Department of
Mechanical Engineering, St. Joseph’s College of Engineering, Chennai, India.
He is doing research on the Reliability and Failure Analysis of Wind Turbine
Components at Sathyabama Institute of Science and Technology, Deemed
University, Chennai. His area of interest is wind energy conversion systems.
Dr. S. Iniyan is Assistant Professor in the Department of Mechanical
Engineering, College of Engineering, Anna University, Chennai, India. He has
published over 80 research papers in international journals and conference
proceedings. He had done his postdoctoral research at the University of Hong
Kong, Hong Kong. His field of interest includes renewable energy sources,
energy planning and alternative energy sources. He is one of the reviewers
for Energy, an international journal. He has 17 years of experience in teaching
and research. He is also a member of several technical organisations
and committees.
Dr. E. Sreevalsan, MSc, MTech, PhD, is Scientist and Unit Chief, Wind
Resource Assessment, Centre for Wind Energy Technology (C-WET),
of the Government of India, Chennai, India. His area of interest is wind
resource assessment.
Dr. S. Rajapandian obtained his ME and PhD from the Indian Institute of
Science, Bangalore, in 1974. He is a pioneer in capacitor development in
India. He was Visiting Professor at Anna University during 1974–1998.
He is presently Visiting Professor at Sathyabama Institute of Science and
Technology, Deemed University and also Principal of Panimalar Engineering
College, Chennai. He has published many papers in national and international
journals. His areas of interest are windmill power generation and fuel cells.
1
Introduction
Energy is an essential ingredient of socioeconomic development and economic growth.
Renewable energy sources like wind energy are indigenous and can help in reducing
dependency on fossil fuels. Wind energy also provides national energy security at a time
when decreasing global reserves of fossil fuels threaten the long-term sustainability of the
Indian economy. With the abundance of wind energy resources in many parts of the
country, especially along the coastline, electricity generation through wind energy
provides a viable and environment-friendly option. Even among other applications of
renewable energy technologies, power generation through wind has an edge because
of its technological maturity, lower demand on infrastructure and relative cost
competitiveness.
260
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
A Centre for Wind Energy Technology (C-WET) and 11 other consultancies are
providing private technical support to the sector. The Ministry of Non-conventional
Energy Sources (MNES), Government of India, has issued guidelines to all the states on
the general policies and the facilities to be offered for wheeling, banking and purchase of
power from such projects.
For thousands of years wind energy has been exploited, but its re-emergence as
one of the most effective renewable sources of generation of grid-quality electricity
is of relatively recent origin. India’s gross estimated potential stands at 45 195 MW
and its technical potential at 12 875 MW (Kalaidasan, 2004). The total generation from
wind power projects established in various states in India is 14.17 × 109 kWh. About 16%
of the country’s technical potential has so far been developed and 11.9 million kWh fed
through various state grids. The per capita electricity consumption in India has risen from
15 to 400 kWh in the past five decades. India has earned recognition as a new ‘Wind
Super Power’ according to the 1998 World Watch Institute’s Report (Garg, 2003). The
MNES has a grand vision viz ‘Vision 2012’, which aims at the electrification of 18 000
remote villages through renewables, 10% (10 000 MW) of additional new power capacity
to come through renewables (wind – 5000 MW; small hydro power – 3000 MW; biomass
– 1500 MW; and solar photovoltaic – 500 MW). The estimated potential of various types
of new and renewable sources of energy is given in Table 1. Out of this total energy,
45 000 MW is estimated to come from wind energy. The power generation from
renewable sources witnessed a remarkable growth during the 8th Five-Year plan period
(1992–1997). The 9th Five-Year Plan, i.e., from 1997 to 2002, envisaged a grid-capacity
addition of around 3000 MW from New and Renewable Sources of Energy (NRSE)
(Reliance Industries Ltd., 2002).
The government estimates that a potential of 50 000 MW of power capacity can be
harnessed from new and renewable energy sources (TIDEE, 2002). Figure 1 shows the
percentage distribution of new and renewable sources of energy sector achievement in
India as of 31 March 2004. The total installed capacity was approximately 9273.35 MW,
of which 24% was wind based.
Table 1
Sl. number
Estimated potential of renewable sources of energy
Source/technology
Potential
1
Biomass energy
195 000 MW
2
Wind energy
45 000 MW
3
Solar energy
20 MW/sq km
4
Small hydro
15 000 MW
5
Energy from waste
6
Ocean thermal power
50 000 MW
7
Sea water power
20 000 MW
8
Tidal power
10 000 MW
1700 MW
Prospects of wind energy in India
Figure 1
261
New and renewable source of energy (MW) achievement in India as of 31 March 2004
W ind pow er
Wind power
Hybrid system
Hy br idMsy
193.35
W st em
2%
193.35
MW
2485 M W
2485 M W
24%
24%
2%
S m al l Hy dr o upt o
Sm all hydro upto
25M
W
25 M W
1509 M
MW
W
1509
15%
Ener
gy r ec ov er y
Energy recovery
15%
fromururban
and
f r om
ben and
5527 M W
52%
ass
based
B io-Bio-m
m ass
based
5527 M W
pow er
52%
p ower
484 M W
484 M5%
W
5%
S olar P hot o v ol t aic
Solar 121
photo
voltaic
MW
121 M W
1%
1%
2
Bio-m
assgasi
gasifiers
B iom ass
f i er s
53 M W
53 1%
MW
1%
Development of wind energy
The wind power programme in India was initiated towards the end of the 6th plan in
1983–1984 (Garg, 2003). A detailed study on wind energy resource in India, in the
establishment of wind farms on a scientific basis, was started in the year 1986 in Gujarat
and Tamilnadu, where wind conditions appeared most favourable.
The wind power programme in India is promoted and coordinated by MNES,
Government of India. The ministry has adopted a market-oriented strategy since its
inception and the considerable groundwork done during the 7th plan (1985–1990) and up
to 1992 resulted in rapid commercial development during the 8th plan (1992–1997).
Government incentives – in the form of tax holidays and accelerated depreciation – acted
as the motivation for private wind farm developers in all countries. The wind power
capacity in Europe increased fivefold from 1990 to 1995 to become 2500 MW. The wind
power capacity at the end of 1995 in various countries was: USA – 1650 MW; Germany
– 1130 MW; Denmark – 610 MW; and India – 580 MW. With additional capacity in the
year 1996, India has reached a proud 3rd place in wind power installation. Thereafter, it
became the 4th up to December 1998, and now it is in 5th place. The additional capacity
in wind-generated energy in India over the last 13 years has been 42.4, 12.7, 61.1, 235.5,
382.1, 169.1, 66.8, 55.9, 142.9, 172.5, 287.4, 241.3 and 613.7 MW. It can be seen from
Table 2 that the major part of the installed capacity came from Tamilnadu during the past
decade. As for wind power capacity state-wise, 54.8% has been installed in Tamilnadu,
16.3% in Maharashtra, 8.12% in Gujarat, 8.41% in Karnataka, 3.97% in Andhra Pradesh
and 7.18% in Rajastan. The least is in Orissa and West Bengal (0.09%). The states with
installed capacity can be identified from the given map of India.
262
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
Figure 1.1 State-wise installed capacity of wind power in India (as on 31 March 2004)
178.5 MW
22.6 MW
202 MW
1.1 MW
1.1 MW
407.4 MW
98.8 MW
209.2 MW
2 MW
1361.6 MW
Map showing state – wise installed capacity of wind power in India
(As on 31st March 2004)
2001–2002
2002–2003
2003–2004
Total capacity
(MW)
17.8
45.6
41.9
44.9
132.8
371.3
1361.6
Gujarat
0.0
0.0
0.0
0.0
6.2
28.9
202.2
Andhra Pradesh
6.0
26.3
3.8
0.7
0.0
6.2
98.8
23.3
50.3
110.6
209.4
2.0
6.2
407.4
Karnataka
2.6
14.6
10.4
24.0
55.7
84.9
209.2
Kerala
0.0
0.0
0.0
0.0
0.0
0.0
2.0
Rajastan
0.0
2.0
5.3
8.8
44.6
117.8
178.5
Madhya Pradesh
6.2
4.1
0.0
0.0
0.0
0.0
22.6
Orissa
0.0
0.0
0.0
0.0
0.0
0.0
1.1
West Bengal
0.0
0.0
0.5
0.6
0.0
0.0
1.1
Others
0.0
0.0
0.0
0.0
0.0
0.0
1.6
55.9
142.9
172.5
287.4
241.3
613.7
2485.9
Tamilnadu
Maharas-Htra
Total MW
263
2000–2001
Prospects of wind energy in India
1999–2000
Growth of wind power installed capacity (MW) in India as of 31 March 2004
1998–1999
Table 2
Year
States
1994–1995
1995–1996
1996–1997
1997–1998
Tamil Nadu
22.3
11.5
50.5
190.9
281.7
119.8
31.1
Gujarat
14.4
1.6
10.6
37.7
51.2
31.1
20.1
Andhra Pradesh
0.6
0.0
0.0
5.4
38.9
9.4
1.5
Maharas-Htra
1.1
0.0
0.0
1.5
0.0
2.8
0.2
Karnataka
0.6
0.0
0.0
0.0
2.0
3.3
11.2
Kerala
0.0
0.0
0.0
0.0
2.0
0.0
0.0
Rajastan
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Madhya Pradesh
0.6
0.0
0.0
0.0
6.3
2.7
2.7
Orissa
1.1
0.0
0.0
0.0
0.0
0.0
0.0
West Bengal
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Others
1.6
0.0
0.0
0.0
0.0
0.0
0.0
42.4
12.7
61.1
235.5
382.1
169.1
66.7
Total MW
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
1993–1994
264
1992–1993
Growth of wind power installed capacity (MW) in India as of
31 March 2004 (continued)
Up-to March
1992
Table 2
Year
States
Prospects of wind energy in India
265
The cumulative installation of Wind Electric Generators (WEGs) is shown in Figure 2. It
is found that the wind power sector has shown a well-registered remarkable growth in the
last 18 years. A cumulative number of 7013 WEGs with different capacities were
installed as of 31 March 2004. The additional wind power capacity in India as of
31 March 2004 is shown in Figure 3. It is noted that there was an accelerated growth in
the wind power sector from 1993 to 1996 because of a booming economy and attractive
fiscal incentives. Investment fell sharply from mid-1996 onwards owing to a reduction in
corporate income tax and withdrawal of third-party sale. The scenario started looking up
from 1999 because of technological maturity and the introduction of machines suitable
for Indian conditions.
Figure 2
Cumulative number of WEGs in India as of 31 March 2004
Number of WEGs
8000
7000
6000
5000
4000
3000
2000
1000
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
0
Year
Figure 3
Additional wind power capacity (MW) in India as of 31 March 2004
700
500
400
300
200
100
0
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
Additional wind
power capacity (MW)
600
Year
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
266
The cumulative generation of wind energy as of 31 March 2004 was 14.17 × 109 kWh, as
found in Figure 4. Wind farming in India boomed in 1994 – one year after the
government’s declaration of incentives to private entrepreneurs. Many large and small
industries invested in the wind power programme, which brought them tax exemptions.
Numerous private wind farms came up at Muppandal, Kayathar and Kethanur in the State
of Tamilnadu.
Figure 4
Cumulative generation (MWh) from wind power projects in India as of 31 March 2004
16000000
14000000
Cummulative
generation (MWh)
12000000
10000000
8000000
6000000
4000000
2000000
0
1986- 1992- 1993- 1994- 1995- 1996- 1997- 1998- 1999- 2000- 2001- 2002- 200392
93
94
95
96
97
98
99
00
01
02
03
04
Year
The growth of private sector wind farms was relatively lower in the State of
Gujarat. However, eight states of the country have grid-connected wind electricity
generation today. As it happens, the growth rate declined when the initial enthusiasm
withered away. Reports claim that a mediocre performance of installed machines at many
sites, unpredicted technical issues and speculations on the future may prevent further
investment at the rate experienced earlier.
Installation peaked during 1995–1996 with a total additional capacity of 382 MW
during that year. The progress slowed down during the early years of the 9th plan
(1997–2002). As a result of concerted efforts and an improved policy regime in a few
states, installations started to pick up again towards the end of the 9th plan and a capacity
of about 550 MW came up during the first two years of the 10th plan (2002–2007).
Significant thrust has been provided to captive generation. Further growth in this field
will greatly depend upon the economic operation and the competence of technology.
2.1 Demonstration projects
Initially, the Government of India established four demonstration wind farms in the
year 1985 at Tuticorin (Tamilnadu), Okha (Gujarat), Puri (Orissa) and Deogarh
(Maharashtra). As of 31 March 2004, the demonstration wind – farms, with 385 WEGs,
have been established at more than 36 different locations. In Tamilnadu and Gujarat,
29.59% and 32.2% respectively of total demonstration wind farms were established, as
shown in Table 3. Lamba, Kayathar and Muppandal are the three major demonstration
Prospects of wind energy in India
267
wind farms in the southern part of India, which were established with the assistance of
the Danish International Development Agency in the year 1989–1990. The selection of
sites for demonstration projects depends on the average wind power density and the
annual wind speed. Year-wise establishment of demonstration wind farms in India is
shown in Figure 5. It is found that more demonstration wind farms were established in
1990. The cumulative installation up to the year 2004 was 65.415 MW. The installed
capacity varied from year to year. Twenty-two wind demonstration projects were
established in 1990, because of which the wind power sector started improving. The
main contributing factors were a shift from being a depreciation-driven industry to an
energy-driven industry, the introduction of large capacity machines and the offer of
incentives by some states.
Demonstration wind farms in India (state wise)
Table 3
States
Number of places
Number of Wind
Electric Generators
Capacity
MW
2
20
5.300
Andhra Pradesh
Goa
2
2
0.110
Gujarat
7
124
17.840
Karnataka
2
14
2.575
Kerala
2
10
2.125
Madhya Pradesh
1
6
0.590
Maharashtra
6
47
8.980
Orissa
2
21
1.190
Rajastan
3
17
6.350
Tamilnadu
8
120
19.355
West Bengal
1
4
1.000
36
385
65.415
Total
Year wise establishment of demonstration wind farm in India
Figure 5
25
15
10
5
02
01
00
99
98
97
96
03
20
20
20
20
19
19
19
95
Year
19
93
92
91
90
89
88
87
86
94
19
19
19
19
19
19
19
19
19
19
85
0
19
Additional wind power
capacity (MW)
20
268
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
Recently, the Karnataka Renewable Energy Development Ltd. (KREDL) commissioned a
2 MW demonstration project at Maviahunda in Karnataka state. Under the National Wind
Resource Assessment Programme, wind monitoring was taken up on a 25-metre
mask, and the data collection period exceeded more than one year at heights of 10 and
25 metres. This site has fairly good Wind Power Density (WPD) of 366 watts/m2 and
annual mean wind speed of 24.6 km/h at a 50-metre height. This project utilises the
MNES financial assistance of $US976,744 for 2 MW. The award for the work was given
in March 2003. The construction activity of the project was actually started on 5 May
2003 in 25 acres of land acquired from the government revenue department. The plant
was commissioned on 30 August 2003. This demonstration wind farm of KREDL
consists of four three-bladed WEGs of 500 kW capacity, each with a 50-metre hub height
and pitch regulation for optimal conversion of mechanical power to electrical power.
The estimated generation for the four months from September to December 2003 was
1.45 GWh. But the actual energy generated was 1.52 GWh. Thus, an extra generation
was achieved for that period.
The concept of the wind energy demonstration scheme initiated by MNES will
definitely instil confidence in the investors. Thereby, local area improvement and social
uplift will take place. Therefore, more and more demonstration wind power plants with
new technologies should be encouraged by MNES, which would give momentum to the
comprehensive development of the regions of states with wind potential.
2.2 Private wind farms
A notable feature of the Indian programme has been the interest evinced by private
investors/developers in setting up commercial wind power projects. Many manufacturers
in India, with about 27 foreign collaborators, are producing wind electric generators with
ratings of 55 kW to 1.5 MW. Seeing the good performance of demonstration wind farms,
a number of private entrepreneurs decided to venture into the establishment of private
wind farms. These private wind farms are mainly in the States of Tamilnadu, Gujarat,
Maharashtra, Andhra Pradesh, Karnataka and Madhya Pradesh.
The total installed capacity of private wind farms was 2418 MW as of 31 March
2004, with about 6628 WEGs installed by about 384 wind turbine owners. Private wind
farms have been situated in more than 80 locations in India. More than 95% of
investments are made by the private sector.
The reasons for the State of Tamilnadu achieving high growth are:
•
Extension of concession by the Central Government for wind power projects
including permission for import of machines under open general licence, customs
duty concession, 100% depreciation allowance (now fixed at 80%), five-year tax
holiday and 75% loan facility from India Renewable Energy Development
Agency (IREDA).
•
During the initial period (1992–1997), the State Government provided capital
subsidy to industries at 10% of the project cost, subject to a maximum of
$US34,884, in order to encourage them to invest in wind power.
Prospects of wind energy in India
269
•
The Tamilnadu Electricity Board (TNEB) paid an attractive price for the power
purchased from wind mills, i.e., 2.91 cents to 5.23 cents per kWh with 5% escalation
as per MNES guidelines effective 1995. It now stands at 6.28 cents per kWh
(Kalaidasan, 2004).
•
Several manufacturers of wind machines set up production facilities which facilitated
the wind farms to get the machines and install them in a short time.
•
It can be seen from Figure 6 that a major part of the installed capacity came from
Tamilnadu during the past decade. The state has also made considerable progress
with regard to harnessing the available wind potential and tops the list among states.
•
Private wind farm developers are allowed the facility of wheeling the power
generated from their windmills through the grid network of TNEB for use in their
own industries or in subsidiary concerns situated in Tamilnadu on a wheeling charge
of 5%.
•
The private developer has the option of either selling the surplus energy after
wheeling or banking it for future use, which energy has to be utilised within the
financial year, which ends in March. In case of banking, a further charge of 5% is
levied. The year-wise growth of private wind farms in India is shown in Figure 7. It
shows that the installation of private wind farms was started in 1991 and there was a
positive growth of installation because of the announcement of wind power policies.
State wise private wind power installed capacity (MW) in India as of 31 March 2004
1342. 2
399
St at es of I ndi a
172. 1
Ra
jas
th
an
Ta
m
il
N
ad
u
M
ah
ar
as
ht
ra
22
M
.P
.
Ka
rn
at
ak
a
93. 4
184. 7 204. 6
Gu
jar
at
1600
1400
1200
1000
800
600
400
200
0
An
dr
aP
ra
de
sh
Installed capacity
(MW)
Figure 6
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
270
Figure 7
Year wise cumulative installed capacity (MW) of private wind farm in India as of
31 March 2004
3000
Installed capacity
(MW)
2500
2000
1500
1000
500
0
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
Year
2.3 Future developments
The projected new addition of wind energy during the 10th plan period (2002–2007) will
be 41 110 MW, and during the 11th plan period (2007–2012) will be 58 890 MW. The
breakdown of that additional energy for the 10th plan period is 22 830 MW (55%) from
the central sector, 11 160 MW (27%) from the state sector and 7120 MW (18%) from the
private sector. The technical potential will increase as the grid capacity increases. In the
draft renewable energy policy (11th plan), the Government of India proposes to harness
6000 MW installed capacity of wind power by 2012 at the rate of 500 MW per annum.
With the action being taken by the ministry on various energy resource assessments,
technology development, local production, exports, financing, policy and regulatory
reforms and institutional development, the goal for 2012 is achievable and, in fact, could
be brought forward. The reduction in capital cost with a larger volume of business and an
increase in efficiency through proper planning and design is a distinct possibility. With
these considerations it is hoped that wind power potential will become commercially
viable in the immediate future.
According to the Indian government, the global wind power from wind turbines is
expected to rise from 24 927 MW (year 2001) to over 79 000 MW by the year 2006.
Likewise, for India it is to rise from 1546 to 40 256 MW by the year 2006 (Dewl, 2002).
The advancement of wind turbine technology is leading to next-generation wind turbines,
which promise significant improvements in performance, reliability and cost (Shikha
et al., 2003). The technology-related priority areas, where further developmental work
is required, are MW-sized wind power systems, improved rotor blades and gear
boxes, power quality improvement, wind machines for low wind regimes, advanced
control systems, development of cheaper materials and integration of wind farms with
weak grids.
Prospects of wind energy in India
3
271
Wind resource assessment
Wind is air in motion and is the result of the conversion of the potential energy of the
atmosphere into kinetic energy, through the work of pressure forces. The ultimate energy
source for the earth’s atmospheric system is the sun. The mean monthly values of the
intensity of direct solar radiation normal to the solar beam that are received at the earth’s
surface at noon in India vary from 0.51 to 1.05 kW/m2, depending on the latitude, altitude
of the station and the season (Mani and Mooley, 1983). The increase in wind speed with
height is the function of terrain roughness. The wind follows a cylindrical pattern with
winds reaching peak speeds once in four years. Electrical anemometer and wind vanes
with data loggers are capable of measuring and storing continuous data on wind speed
and direction (Mani, 1990).
Wind monitoring centres have measured wind speed at several places, of which
211 stations have shown annual average wind-power density of more than 200 Watts/m2
at 50 metres above ground level, which is considered to be a benchmark for the
establishment of a wind farm. The locations having an annual mean wind-power density
greater than 150 Watts/m2 at a height 30 metres will also be considered for suitable wind
power projects. Three years of wind data is considered appropriate for assessing the wind
potential of a site. Initially, it was thought that the windy sites were always near the
seacoast, but scientific study has proven that windy sites could be far from the seacoast as
well. It is not enough to obtain general wind data. Site-specific information on wind
speed, direction, frequency, shear, gusts and turbulence is necessary. Complex terrains
require microlevel wind resource studies. The temperature humidity of wind fields at the
surface during winter at Delhi were examined by Padmanabhmurty and Bhal (1981), who
observed that the wind was either calm or light in the suburbs but accelerated towards
heated island regions to 10 kmph (Mani and Mooley, 1983). Wind maps are useful for the
evaluation of the wind potential of a country or region. Wind site maps indicate the most
promising area for wind plant installation (Gaudiasi, 1990). During the period April–May
to September–October, the wind is uniformly strong over the whole Indian Peninsula,
except the eastern coast, whereas wind during the period of November to March is
relatively weak (Windpro Monthly Journal, 2003d).
The nationwide wind resource assessment is being carried out by C-WET, Chennai.
As many as 24 states and union territories are covered under this programme, with
about 900 wind-monitoring and wind-mapping locations. So far, 498 wind-monitoring
stations have been established in 17 states and three union territories, of which
60 wind-monitoring stations are established in Tamilnadu. The year-wise installation of
wind-monitoring stations is shown in Figure 8. In 1998, 11.39% of 483 wind-monitoring
stations had been established. The establishment of wind-monitoring stations steadily
increased from 1995.
The main purpose of wind-monitoring stations is to monitor the average wind power
potential and annual mean wind speed. These data are collected at different heights, and
based on this information demonstration wind farms are established. Wind-monitoring
stations have also been established at high altitudes ranging from 1500 metres to
3300 metres above mean sea level in different states. It is surprising to note that most of
these stations have not shown good wind speed. The only wind-monitoring station at high
altitude that has shown very strong wind speed is Baba Budhan Giri in Karnataka
(altitude 1600 metres, wind speed 27.60 kmph at 30 metres above ground level). The
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
272
wind power density at this place is 532 watts/m2 at 30 metres above ground level. The
wind-monitoring stations are very useful to identify the proper location in order to install
the wind farms.
Establishment of wind monitoring stations in India from 1986 to 2003
Figure 8
60
Number of stations
50
40
30
20
10
02
03
20
00
01
20
20
98
99
20
19
96
97
19
19
94
95
19
19
92
93
19
19
90
91
19
19
88
89
19
19
87
19
19
19
86
0
Year
4
Technical development
Wind turbine technology has a unique technical identity and unique demands in terms of
the methods used for design. Remarkable advances in wind power design have been
achieved owing to modern technological developments. Since 1980, advances in
aerodynamics, structural dynamics, and ‘micrometeorology’ have contributed to a 5%
annual increase in the energy yield of the turbines. Current research techniques have led
to the production of stronger, lighter and more efficient blades for the turbines. The
annual energy output per turbine has increased enormously and the weights of the
turbines and the noise they emit have been halved over the last few years. The windmills
set up in the late 1980s and early 1990s do not have devices for lightning protection.
Action should be taken to install systems for protection against lightning (Windpro
Monthly Journal, 2002a).
A doubling of the rotor diameter leads to a fourfold increase in power output, and a
doubling of wind speed leads to an eightfold increase in power (Tony et al., 2001). The
machines available in the market normally have cut-in speed of around 3 m/s, rated speed
of about 14 m/s and cut-out speed of 25 m/s, irrespective of the power rating (Sasi and
Basu, 1997).
WEGs can vary in size from a hundred kilowatts to several megawatts.
The size of the WEGs largely determines the choice of the generator and
converter system. Asynchronous generators are more common with systems of up to
2 MW, beyond which direct-driven permanent magnet synchronous machines are
preferred (Datta and Ranganathan, 2002). A self-excited induction generator is suitable
Prospects of wind energy in India
273
for wind-driven applications with wide variations in the driving speed. The annual
production capacity of the wind turbine industry is about 500 MW at present. Enercon
model E-30, 230 kW, Enercon E-40, 600 kW, Jeumant 750 kW and Lagerway Lw-58,
750 kW machines are operating without gear. Other machines are equipped with gear.
Figures 9 and 10 show the power curve for pitch-regulated and stall-regulated WEGs.
The rating of the wind turbine increases depending on various technical particulars.
Different wind turbines are producing rated power by different rated wind speed. For
example, Vestas-RRB, three-blade, a 27-metre rotor diameter, a 50-metre hub height,
pitch regulator, asynchronous dual-speed generator coupled with gear produces rated
power of 225 kW at a wind speed of 18 m/s. Similarly, NEG-Micon, 750 kW machine,
three-blade, stall-regulated, asynchronous, dual-speed generator coupled with gear, rotor
diameter 48 metres, hub height 50 metres, produces rated power of 750 kW at a wind
speed of 15 m/s. Suzlon 1000 and 1250 kW machines are producing rated power at a
wind speed of 13 m/s.
Power curve of pitch power regulated, three blade WEGs
Figure 9
1600
Rotor power (kW)
1400
1200
1000
Vestas R R B, 225 kW
800
Vestas R R B, 500 kW
600
Lagerway, 750 kW
400
Suzlon, 1 M W
200
G E W ind Energy, 1.5 M W
25
23
21
19
17
15
13
11
9
7
5
3
1
0
W ind speed (m /s)
Power curve of stall power regulated, three blades WEGs
Ponieer Wincon
250 kW
TTG 250 kW
1000
800
600
400
200
0
25
23
21
19
17
15
13
11
9
7
5
3
Suzlon 350 kW
1
Rotor Power (kW)
Figure 10
NEG Micon 750
kW
NEG Micon 950
kW
Wind Speed (m/s)
The variation of turbine performance at the same site depends upon the closeness of site
cubic mean wind velocity to the turbine rated speed, the relationship between the speed
characteristics cut-in speed (VC), rated speed (VR) and cut-out speed (VF) of the wind
turbine and variation of Weibull parameters (Jangamshetti and Guruprasada Rau, 2001).
274
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
The introduction of higher-capacity machines with larger rotor diameters and higher hub
heights will enable more cost-effective harnessing of wind energy. Wind turbines and
wind turbine components are also being exported to Europe, the USA and Australia.
There is also considerable interest from developing countries in Indian wind turbine
equipment and technical services (Windpro Monthly Journal, 2002e). The performance of
wind turbines also depends upon the number of blades and blade chord/rotor diameter
ratio; the aspect ratio has almost no effect on torque coefficient and power coefficient
(Ushiyama et al., 1990).
The capacitor of sufficient rating should be provided in the wind electric generator
itself to compensate for the power factor of the wind electric generator, so that the power
factor is always maintained above 0.85 and the voltage regulation is within 12% of the
rated voltage at the point of supply. If the power factor continuously goes below 0.85, it
would result in a heavy drawl of reactive power from the grid, leading to higher
transmission and distribution (T&D) losses and reduced voltage stability margins. If the
power factor goes below 0.85, the wind generator should be disconnected from the grid
(Windpro Monthly Journal, 2003e). For the power factor below 0.95, a penalty could be
levied, which should be based on a variable rate and not a flat rate (Windpro Monthly
Journal, 2003c).
5
Environmental benefits
In India, coal is the primary fuel source for generating electricity, accounting for 62.3%
of total electricity produced (Windpro Monthly Journal, 2003a). Burning fossil fuels such
as coal releases carbon dioxide (CO2), a pollutant. Carbon dioxide emission from the
energy sector represents nearly 33% of the world CO2 emission and is projected to
increase at 2.7% per annum. India emits about 4% of the global warming pollutant and
the USA emits 25%. Carbon dioxide build-up in the atmosphere is the single biggest
contributor to global warming. The estimate of CO2 emission from the power sector in
India for 1990 is 213 million metric tonnes (Windpro Monthly Journal, 2003a). Total
CO2 emission from all the coal-fired power plants in India was 1.1 thousand tonnes per
day in 1997–1998, with an annual emission computed to be 395 million metric tonnes.
Coal-fired plants cause diverse public health and environmental problems. To address the
problem of global warming and environmental degradation, steps need to be taken to
slash the amount of CO2 that various power plants emit. The replacement of traditional
fossil fuel-based energy with wind energy offers great opportunities for the reduction of
CO2 emission.
There is no doubt of the good prospects for wind energy in India, especially in states
like Karnataka, Tamilnadu and Rajastan. From the environmental point of view, wind
energy is the cleanest power. Many companies have entered this field as a service to
society and the nation to provide pollution-free energy to the public.
Apart from direct benefits like augmentation of power generation and contribution to
energy security, wind power projects also result in substantial socioeconomic and
environmental benefits. Wind farms require 0.08 to 0.13 km2/MW. Ninety-nine percent
of the land occupied by a wind farm can be used for agriculture (Andersen and Jenson,
2000). The estimated environmental benefits of installing wind farms could be the
reduction of the following emissions annually.
Prospects of wind energy in India
275
CO2
2100 metric tons/MW
SO2
2.5 metric tons/MW
NOX
1.7 metric tons/MW
Total suspended particulate
0.5 metric tons/MW
Moreover, the introduction of grid-connected wind power projects results in direct and
indirect generation of employment. The equivalent saving of coal and reduction of other
pollutants by use of wind power generators up to 31 March 2004 is depicted in Figure 11.
This figure shows that apart from the saving of coal, the emission of CO2 is reduced to
the extent of 14.17 × 106 tonnes.
Figure 11
Equivalent saving (in tons) of coal and reduction of other pollutants by use of wind
power generators as of 31 March 2004
Particulate
7620
tons
Coal
5669760
tons
SO 2
92130
tons
CO 2
14174400
tons
6
NO 2
63780
tons
Economic analysis of wind energy
The technical and economic feasibility of wind farms was established by 1987. Setting up
wind farms is an ideal tax-planning scheme. While Board tariff will go up year by year,
the cost of energy from windmills will come down (Narayanaswamy, 1993). The
economics of wind energy depends on:
•
wind speed at a given project site
•
improvement in turbine design, bringing down cost
•
size of wind farm
•
optimal configuration of the turbine
•
cost of financing
•
transmission, tax, environmental and other policies (Windpro Monthly
Journal, 2004).
276
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
The gap between the cost of wind-generated electricity and that of energy from
conventional sources of generation is steadily narrowing. One kWh of wind
power generated was considered to be equivalent to 2.97 kWh of primary energy
(Windpro Monthly Journal, 2003d). A shorter gestation period for wind farm and earlier
power generation are the major characteristics of wind energy economic analysis
(Windpro Monthly Journal, 2002c). The cost of generation per kWh depends on total
fixed cost and net generation.
A detailed Statement of Cash Flow for a period of ten years is shown in Table 4.
It will be seen from the table that bank loans along with interest have been wiped out
by the 7th year and that economics of wind energy is really a boon.
A few years after installation, the cost of generation is very attractive. The operation
and maintenance costs are uniform over the years. The cost of kWh generation was
$US0.33 during the first year and has gradually decreased; it was $US0.06 during the
10th year. The net profit and the total cost of adjustment have increased year by year. The
economics of wind energy has changed dramatically over the past 20 years, as the cost of
wind power has fallen approximately 90% during that period. The factors affecting the
cost of wind energy are still rapidly changing, and wind energy’s cost will continue to
decline as the industry grows. The differences in one metre per second of wind speed can
mean differences of a cent or more per kWh in the cost of electricity production.
The average yearly contribution of the Cost of Capital (CC) to the total cost of
electricity is:
CC =
( ICC × CRF )
$
;
( Pr × CF × 8766 × 43) kWh
($1 = 43Rs.)
where ICC is the total installed cost in dollars, CRF is the capital recovery factor, Pr is the
rated capacity of the wind turbine, CF is the average capacity factor and 8760 is the
number of hours in one year:
CRF = r /(1 − [1 + r]− n )
where r is the interest rate and n is the assumed life of the installation. For a 25-year life,
if r = 6%, CRF = 0.0782 (Cavallo et al., 1993). Turbine cost is the largest portion of the
project cost and it comprises more than 70% of the total installation cost of wind plants.
The extra cost of the tower is in the order of $US1570 per one metre extra height. A
study by the International Energy Agency (IEA) says there will be an 18% reduction in
energy prices if wind energy capacity continues to double every three years, and there
will be a 30% reduction in price in the year 2006 (Windpro Monthly Journal, 2003b). At
present, at a good site the wind energy cost is $0.06 per kWh (Kalaidasan, 2004).
Operation and maintenance costs – in the range of 0.6–0.8 cent/kWh – compare
remarkably well with the other, often used backup sources (Sangaranarayanan, 1999).
Operational costs are falling as turbines increase in size. The manufacturing cost of a
wind turbine is primarily proportional to its mass. The absolute mass of the tower head
increases with rotor diameter. The rise in the specific cost can be compensated by the
rotor’s specific energy yield, which also rises with wind turbine size. Wind turbines with
blade pitch control were considerably more expensive than comparable machines with a
fixed blade pitch. The introduction of a blade-pitch system increases the cost of a wind
turbine by about 4%. The cost of electricity through the wind energy system can be
further decreased in the future by improving the technology and increasing the
manufacturing potential.
Description
1
2
3
4
5
6
7
8
9
10
Table 4
Sl.
number
40
33.26
26.51
20
13.26
6.74
–
–
–
–
2
Interest charges
6.38
5.58
4.42
3.09
2.05
1.02
–
–
–
–
3
O&M charges
0.81
0.81
0.81
0.81
0.81
0.81
0.81
0.81
0.81
0.81
4
Total fixed charges
6.98
6.51
5.11
3.91
2.86
1.84
0.81
0.81
0.81
0.81
5
Net kWh available
5
5.12
5
5
4.88
4.88
5
5
5
5
6
Cost of kWh generation
0.33
0.30
0.23
0.16
0.12
0.07
0.05
0.05
0.05
0.05
7
Cost of kWh adjustment
0.49
0.53
0.58
0.63
0.69
0.77
0.84
0.91
0.98
1.07
8
Cost of total generation
6.74
6.51
5.12
3.95
2.86
1.84
0.81
0.81
0.81
0.81
9
Total cost of adjustment
10.47
11.39
12.67
13.95
15.12
16.51
18.05
19.56
21.30
23.07
10
Profit
3.72
5.07
7.44
10
12.16
14.65
17.23
18.79
20.49
22.49
11
Repayment of loan
6.74
6.51
6.51
6.51
6.74
6.51
–
–
–
–
12
Net profit/shortfall (10–11)
–3.02
–1.58
0.81
3.26
5.49
7.91
17.23
18.79
20.49
22.49
277
Total capital cost
Statement of cash flow for a period of ten years ($1 = 43 Rs.)
1
Prospects of wind energy in India
×104$
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
278
7
The policies for developing wind power
A favourable fiscal/policy environment exists in India for development of wind power.
The policies introduced by various state governments in India for private sector wind
power projects are listed in Table 5. In this table, wheeling, banking, buy-back, third
party sale, capital subsidy and other incentives of various states are given. These vary
from state to state owing to different state-government policies. In the last ten years, wind
power development in India has been promoted through Research and Development
(R&D). The government subsidies and fiscal incentives are outlined below (Reliance
Industries Ltd., 2002).
Table 5
Policies introduced by the state governments for private sector wind power projects
($1 = 43 Rs.)
Item
Third
party sale
Capital
subsidy
Other
incentives
$0.05/kwh
(5% escalation
1994–1995)
Not
allowed
20%
maximum
$58,140
Industry status
2% per
month for
12 months
$0.05/kwh
(5% escalation
1994–1995)
Allowed
Maximum
$58,140 for
backward
area
No electricity
duty for
five years
2% of
energy
6 months
To be decided on
case to case basis
Not
allowed
–
–
Madhya
Pradesh
2% of
energy
–
$0.05/kwh
(no escalation)
Allowed
Same as
for other
industries
–
Maharashtra
2% of
energy
12 months
$0.05/kwh
(5% escalation,
1994–1995)
Allowed
30%
(Maximum
$46,512)
–
Rajastan
2% of
energy
12 months
$0.07/kwh
(5% escalation,
1999–2000)
Allowed
–
No electricity
duty for
five years
Tamilnadu
5% of
energy
5%
(2 months
balance on
31st March
to lapse)
$0.06/kwh
(no escalation)
Not
allowed
–
–
State
Wheeling
Banking
Buy-back
Andhra
Pradesh
2% of
energy
12 months
Karnataka
20% of
energy
West
Bengal
From central government
•
income tax holiday
•
accelerated depreciation
•
concessional custom duty/duty free import
•
capital/interest subsidy
Prospects of wind energy in India
•
production tax credits
•
property tax credits
•
direct tax incentives
•
direct investment incentives
•
subsidised loans from IREDA
•
site prospecting, review and permission
•
renewable portfolio standard
•
green marketing/pricing.
279
From state governments
•
energy buy-back power
•
wheeling and banking facilities by State Electricity Boards (SEBs)
•
sales tax concession benefits
•
electricity tax exemption
•
capital subsidy (Windpro Monthly Journal, 2003f).
The additional incentives for the setting up of wind farms are:
•
non-resident Indian participation in power projects
•
permission for duty-free import of components for the indigenous manufacture of
turbines (Windpro Monthly Journal, 2002c).
8
Performance and Pareto analysis
8.1 Performance analysis
A wind turbine is characterised by the coefficient of power Cp = f (λ ) , where λ is the tip
speed ratio. The maximum value of Cp is 0.593 (Betz limit). The wind turbine generator
has a rating and it cannot be operated beyond a certain limit. Hence at higher wind speed,
wind machines are regulated to shed extra power. The performance of the turbine is
different for different sites with the same cubic mean velocities. This is because of the
variation in the Weibull parameters (scale and shape factor) of the two sites. The annual
values of the scale factor and shape factor for the Muppandal site in Tamilnadu (in the
southern part of India) are 2.2 and 27.7 respectively.
The performance of a wind farm at the Muppandal site for a period of five years
(April 1999–March 2004) had been analysed in this paper to rectify the deficiencies. The
total installed capacity of the wind farm taken for this study is 16.525 MW, which
consists of 53 wind electric generators. The wind farm has different capacities of WEGs,
such as 225, 250, 400 and 750 kW. These WEGs were commissioned from 1993 to 1999
in six phases.
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
280
The performance of the wind turbine is proportional to Wind Power Density (WPD).
The monthly WPD is shown in Figure 12. This curve indicates the maximum WPD
of 723.3 watts/m2 in the month of June. The annual WPD in this wind farm was
361 watts/m2. Satisfactory WPD were recorded from April to September in Muppandal.
Monthly average wind power density in Muppandal
Au
gu
st
Se
pt
em
be
r
O
ct
ob
er
No
ve
m
be
r
De
ce
m
be
r
Ju
ly
Ju
ne
M
ay
Ap
ril
800
700
600
500
400
300
200
100
0
Ja
nu
ar
y
Fe
br
ua
ry
M
ar
ch
Power density
(watts/sq.m)
Figure 12
Months
The monthly generation of this wind farm for the period of April 2003–March 2004 is
shown in Figure 13. It is found that the energy generation varies due to climatic,
environmental and technical factors. Whereas from April to August it shows an upward
trend, from August onwards it shows a declining trend. The upward trend is caused by
good climatic factors and the downward trend is caused by technical and climatic factors.
Figure 13
Monthly generation for 2003–2004
6000000
5000000
4000000
3000000
2000000
1000000
Months
M
ar
ch
Au
gu
st
Se
pt
em
be
r
O
ct
ob
er
No
ve
m
be
De
r
ce
m
be
r
Ja
nu
ar
y
Fe
br
ua
ry
Ju
ly
Ju
ne
M
ay
0
Ap
ril
Generation (kWh)
7000000
Prospects of wind energy in India
281
The year-wise generation of the wind farm for the period April 1999–March 2004 is
shown in Figure 14. It is found that there was a wide variation of generation over the
years. The generation was at a maximum (3.9479557 × 107 kWh) in the year 2001–2002.
The reasons were higher capacity factor (27.28%) and production time (380 154 hours).
The average annual generation was 3.776963 × 107 kWh. The generation was at a
minimum (3.5271718 × 107 kWh) in the year 2000–2001.
Figure 14
Year wise generation (kWh) from 1999 to 2004
40000000
Generation (kWh)
39000000
39479557
38454269
38283475
38000000
37359132
37000000
36000000
35271718
35000000
34000000
33000000
1999-2000
2000-2001
2001-2002
2002-2003
2003-2004
Year
The comparison of capacity factor, real and technical availability are computed and
shown in Figure 15. A trouble-free wind farm will have a maximum of 100% technical
availability. In this case the technical availability was steady and it was more than 95%. It
was at a maximum (98.38%) in the year 2002–2003 and at a minimum (95.55%) in the
year 2000–2001. The average technical availability was 97.46% for five years. Though
this was excellent, owing to environmental disturbances, especially low wind, a reduction
in average real availability resulted. It is observed that the wind farm had very low real
availability in the year 2002–2003 owing to an increase in machine fault. The capacity
factor was found to vary from 24.36% to 27.28%. The average real availability and
capacity factor for five years were 81.22% and 26.23% respectively. There is scope for
improvement in performance by improving the grid and machine availability.
Figure 15
Comparison of TA, RA and CF
120
Percentage (%)
100
80
Technical Availability (TA)
Real Availability (RA)
60
Capacity Factor (CF)
40
20
0
1999-2000
2000-2001
2001-2002
Year
2002-2003
2003-2004
G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
282
Figure 16 shows the relationship between total production, stoppage and mission time.
The summation of total production and stoppage time gives the total mission time. The
stoppage time is the summation of downtime due to low wind speed, machine faults,
maintenance works and grid problems of the wind farm. The average mission, production
and stoppage time for five years were 464 788, 377 522 and 87 266 hours respectively. In
the year 2003–2004, the total production time was greater, i.e., 387 178 hours, and the
total stoppage time was less (78 374 hours.). The design of the wind turbine could be
modified to operate at lower cut-in speeds so that downtime due to low wind can be
reduced. Because of more downtime (94 688 hours) in the period 2002–2003, the wind
farm experienced more failures.
Distribution of Total Mission Time
Figure 16
500000
450000
Time (hours)
400000
350000
300000
250000
Total Mission Time
200000
Total Production Time
150000
Total Stoppage Time
100000
50000
0
1999-2000
2000-2001 2001-2002
2002-2003
2003-2004
Year
The total stoppage time due to various faults and low wind is computed and tabulated in
Table 6. The average grid failure, low wind, control panel failure, electrical, mechanical
and preventive maintenance time were 17 177, 66 395, 306, 2316, 55 555 and 1518 hours
respectively. Its percentage distributions are shown in Figure 17 (pie charts). The
percentage of failure due to the control panel was less and due to the grid was higher. The
average percentage wind farm stoppage due to mechanical component, electrical and grid
failure was 6.2%, 2.8% and 17.6% respectively.
Table 6
Year-wise total stoppage time
Mechanical
failure
time (hours)
Preventive
maintenance
time (hours)
Grid
failure
time (hours)
Low wind
time (hours)
Control panel
failure
time (hours)
Electrical
failure
time (hours)
1999–2000
10 590.05
66 181
546.1
2783.1
2000–2001
10 010.4
62 027
383.7
3348
2001–2002
40 378.4
65 854
181.4
1836.2
2002–2003
10 982.8
79 246
151.8
1602.8
2124.7
550
2003–2004
13 924.6
58 668
267.3
2007.5
2344.9
1161.6
Year
7658.6
716.8
10 457.4
4468.5
5190.9
693.3
Prospects of wind energy in India
Figure 17
283
Percentage distribution of stoppage time
Mechanical
9%
Electrical
3%
Control
panel
0%
Grid
12%
Grid
12%
Low w ind
74%
Control panel
1%
Preventive
maintenance
1%
Mechanical
Electrical
2%
2%
Preventive
maintenance
1%
2002-2003
Low w ind
83%
1999-2000
Mechanical
12%
Mechanical
3%
Preventive
maintenance
5%
Grid
11%
Electrical
4%
Control
panel
0%
Preventive
maintenance
1%
Electrical
3%
Control
panel
0%
Grid
18%
Low w ind
68%
Low w ind
75%
2000-2001
2003-2004
Mechanical
Electrical
5%
2%
Preventive
maintenance
1%
Control
panel
0%
Low w ind
57%
Grid
35%
2001-2002
8.2 Pareto analysis
Fault analysis had been done to identify the technical problems in the wind farm arising
from grid, electrical and mechanical components. The Pareto diagram is one of the seven
old quality circle tools used for solving problems. It classifies data and rank categories in
descending order of occurrence to separate significant categories from trivial ones. It
helps in prioritising the different categories taken into account for analysis. This also
helps in identifying the minimum number of factors required to fulfil a function from a
lot. The next advantage is getting the percentage reduction in the overall scenario when
reduction is carried out in one or two of the factors.
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G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
Even though one may desire solving all problems practically, it is not practical.
Hence prioritisation is essential. For the problems identified, categorisation has to be
made in terms of the extent of the damage they cause to the system. The percentage
values can be used to find out the percentage reduction in the overall problems, when one
or two of the prioritised problems are solved.
The Pareto charts before and after the problem-solving exercise are shown in Figures
18, 19, 20 and 21. Six stoppage time factors, i.e., low wind, grid failure, mechanical,
electrical, preventive maintenance and control panel time, for five years were identified
and their percentage of stoppage time were 71.18%, 18.42%, 5.95%, 2.48%, 1.63%
and 0.34% respectively. If grid failure, mechanical and electrical problems are solved
completely, 18.42%, 5.95 and 2.48% respectively of problems in the wind farm will
be over.
Pareto chart before problem solving
350000
300000
250000
200000
150000
100000
50000
0
120
100
80
60
40
20
0
Low wind
Grid
Mechanical Electrical Preventive Control
maintenance panel
Cummulative frequency (%)
Frequency (%)
Figure 18
Category
Reduction of 50% mechanical problems
120
100
80
60
40
20
0
350000
300000
250000
200000
150000
100000
50000
0
Low Wind
Grid
Mechanical Electrical Preventive Control
maintenance panel
Category
Cummulative frequency (%)
Frequency (%)
Figure 19
Prospects of wind energy in India
Reduction of 50% fault in grid
Frequency (%)
350000
100
300000
80
250000
200000
60
150000
40
100000
20
50000
0
0
Low wind
Grid
Mechanical Electrical Preventive Control
maintenance panel
Cummulative frequency (%)
Figure 20
285
Category
Reduction of 50% electrical fault
120
100
80
60
40
20
0
350000
300000
250000
200000
150000
100000
50000
0
Low wind
Grid
Mechanical Preventive Electrical
maintenance
Control
panel
Cummulative frequency (%)
Frequency (%)
Figure 21
Category
This analysis can also be extended to find out the reduction in problems when more than
one problem is tackled partially. If 50% of the failure time due to grid, mechanical and
electrical problems is removed, the overall reduction in the frequency of stoppage will be
9.22%, 2.97% and 1.24%, respectively, which is significant.
If the various problems of the wind farm due to mechanical components such as gear,
yaw gear, blade, brake assembly, hydraulic components, electrical components and
grid-related problems are tackled, the performance of the wind farm will improve
considerably. The turbine faults should be reset immediately after the machine is stopped.
This will increase the machine availability.
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G.M.J. Herbert, S. Iniyan, E. Sreevalsan and S. Rajapandian
Conclusion
A detailed report is given about the prospects of wind energy generation in India. A
total wind power capacity of 2485.9 MW has been installed, which is about 1.7% of
the total installed capacity of electricity in the country and about 14.6% of the
exploitable/technical potential. In India, there are 65.415 MW demonstration projects and
2418 MW private projects installed in 11 states with 7013 numbers of WEGs. The
total generation from wind power projects established in various states in India is
14.174 × 109 kWh. It is concluded that India can generate more power from wind if a
larger number of wind-monitoring stations are established and selection of wind-farm
sites with suitable wind electric generator and improved maintenance procedure of
wind turbine to increase the machine availability are insured. It is further concluded that
the advanced wind turbine technologies and favourable policies from the Government
of India will facilitate and accelerate wind energy generation. It is also concluded that
India can confidently count on wind power as an energy source if the issues are
correctly addressed.
The performance of the 16.525 MW installed capacity wind farm at Muppandal has
been analysed. It was found that the average real availability of the wind farm is 81.22%.
The Pareto analysis is also done to identify the major failures of wind farms. Steps should
be taken to avoid grid drop and mechanical failure so that the production of electricity
through WEGs could be improved.
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