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RENEWABLE ENERGY POTENTIAL IN UTTARA KANNADA DISTRICT, KARNATAKA STATE, INDIA RENEWABLE ENERGY POTENTIAL IN UTTARA KANNADA DISTRICT, KARNATAKA STATE, INDIA R.Rashi, Ramachandra T.V. Energy & Wetlands Research Group CES, IISc, Bangalore, India. Email: [email protected] R.Rashi, Ramachandra T.V. Energy & Wetlands Research Group CES, IISc, Bangalore, India. Email: [email protected] Energy and Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science Lake 2010: Wetlands, Biodiversity and Climate Change
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RENEWABLE ENERGY POTENTIAL IN UTTARA KANNADA DISTRICT,
KARNATAKA STATE, INDIA
RENEWABLE ENERGY POTENTIAL IN UTTARA KANNADA DISTRICT,
KARNATAKA STATE, INDIA
R.Rashi, Ramachandra T.V.Energy & Wetlands Research GroupCES, IISc, Bangalore, India.Email: [email protected]
R.Rashi, Ramachandra T.V.Energy & Wetlands Research GroupCES, IISc, Bangalore, India.Email: [email protected]
Energy and Wetlands Research Group, Centre for Ecological Sciences,Indian Institute of Science
Lake 2010: Wetlands, Biodiversity and Climate Change
CONTENTS
INTRODUCTION.
OBJECTIVE.
STUDY AREA.
DATA AND METHODOLOGY.
RESULTS AND DISCUSSION.
CONCLUSION.
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INTRODUCTION
What is Renewable Energy……?
•Energy from the natural sources.
•Clean and Inexhaustible Source.
•Converted into usable energy such as electricity.
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OBJECTIVE
To assess the Solar and Wind Energy Potential in
Uttara Kannada district, Karnataka state, India.
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15.532°
74.
048
°
75.3
15°
13.923°
STUDY AREA
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Figure 1 : Study Area
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•Arabian Sea borders Uttar Kannada to the West.•Goa and Belgaum form the Northern boundary.•Dharwad form the Eastern Boundary.•Shimoga and Dakshina Kannada form the Southern Boundary.
•Arabian Sea borders Uttar Kannada to the West.•Goa and Belgaum form the Northern boundary.•Dharwad form the Eastern Boundary.•Shimoga and Dakshina Kannada form the Southern Boundary.
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Figure 2 : Boundary Regions Of Uttara Kannada
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GEOGRAPHY AND CLIMATE
The main Geographical feature of Uttara Kannada district is
the Western Ghat also known as Sahaydri Range.
Southwest monsoon winds bring down rains during the
months June - September. Average annual rainfall is about
250 cm.
Winter season sets in during October and lasts till the end
of January.
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Solar
Large spatial resolution of 1 x1 on a global grid and temporal
coverage of solar radiation data is from Surface Meteorology and Solar
Energy (SSE) datasets provided by NASA Langley Research Center .
With this data Insolation maps were generated for Uttara Kannada
district.
Wind
The Monthly mean Wind speed (@ 10 m height) data is taken from
CRU.
DATA AND METHODOLOGY
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Figure 3 : Points in the Uttara Kannada region (Solar)
N
S
N
S
..
.
.
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Figure 4 : Points in the Uttara Kannada region (Wind)
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Lake 2010: Wetlands, Biodiversity and Climate Change
Figure 5 : Monthly Variation Of Global Insolation
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Maximum Insolation in the month of April (7.2kWh/m²/day)
Minimum Insolation in the month of July(3.3kWh/m²/day)
Maximum variation in the Insolation in the month of August
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Figure 6 : Variation Of Global Insolation
Images Source: Google 11
Figure 7 : Monthly Variation of Mean Wind speed
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Lake 2010: Wetlands, Biodiversity and Climate Change
Relationship between annual mean wind speed and wind energy potential
Annual mean wind speed @ 10 m Height Indicated value of wind resource
• < 4.5 m/s• 4.5 – 5.4 m/s• 5.4 – 6.7 m/s• > 6.7 m/s
• Poor• Marginal• Good to Very Good• Exceptional
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Based on the study it is seen that :
During summer Global Insolation is >7kWh/m²/day which
provides a very good potential for harnessing Solar Energy
for various commercial purposes.
During Monsoon season the Global Insolation is <4
kWh/m²/day which can still be used for domestic purposes.
Wind potential is not good in Uttara Kannada district, and
does not hold good for commercial purposes as the
annual wind speed is less than 4 m/s.
CONCLUSION
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• Ramachandra, TV and Subramanian, DK (1997) Potential and prospects of solar energy inUttara Kannada, district of Karnataka State, India. In: Energy Sources, 19 (9). pp. 945-988.
• NASA website http://eosweb.larc.nasa.gov/sse/
• Malik, AQ, Mufti, A, 1990, Application Of Geostationary Satellite Data For DeterminingSolar Radiations Over Pakistan, Renewable Energy Vol 3/4, pp, 455-461
• Bisht , Gautam , L. Bras, Rafael, 2010, Estimation of net radiation from the MODIS dataunder all sky conditions: Southern Great Plains case study Remote Sensing ofEnvironment, Vol 114, pp 1522–1534.
• Hammer, Annette, Heinemann, Detlev, Hoyer, Carsten, Kuhlemann, Rolf,
• Lorenz, Elke, Mu¨ller, Richard, Georg Beyer, Hans,2003, Solar energy assessment usingremote sensing technologies, Remote Sensing of Environment Vol 86 , 423–432
• Mani, A, 1981, Handbook of solar radiation, Allied Publishers, New Delhi
• Ramachandra T.V.* and Shruthi B.V. (2003) Wind energy potential in Karnataka, India
Wind Engineering, 27 ( 6). pp. 5 4 9–553.
REFERENCES
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Thank You…
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