Share This Article:

Solar PV Energy Generation Map of Karnataka, India

Full-Text HTML XML Download Download as PDF (Size:1895KB) PP. 333-343
DOI: 10.4236/sgre.2015.612027    3,321 Downloads   3,875 Views  

ABSTRACT

A massive plan has been drawn by the Karnataka state of India to initiate several solar power plants at different locations. In view of this, it is of great help to have reliable estimation on solar PV energy generation. Four solar PV power plants in Karnataka state are fully operational installed by Karnataka Power Corporation Limited (KPCL). They are located at Kolar, Belgaum and Raichur with 3 MW capacity each and at Mandya with 5 MW capacity. In the present study, using ground mounted weather station data solar power generation has been estimated and compared with actual generation for two consecutive years of 2012 and 2013 for one location initially, namely 3 MW Kolar Solar PV Plant. The procedure is repeated for rest of the plants. The simulated results have been corrected with ground mounted weather data. After such corrections, the simulated results have been compared with the actual energy generation of the four plants. Results showed a close match with a small deviation of about 5%. The model then applied throughout the state for every 0.25 degree station intervals in a grid manner. The annual energy generation obtained for the state varies from 1.53 to 1.73 MUs/MW. Central and south eastern part of the state are found to yield significantly higher solar power generation as compared to the northern part and south western part of Karnataka. Interestingly, north western part of Kodagu district has shown the least potential of 1.53 MUs/MW as compared to other parts. This can be attributed mainly due to low irradiation and high temperature condition at this location. The energy generated map from our study will be useful and helpful for both solar developers and decision makers of Karnataka state.

Cite this paper

Gajjar, J. , Agravat, S. and Harinarayana, T. (2015) Solar PV Energy Generation Map of Karnataka, India. Smart Grid and Renewable Energy, 6, 333-343. doi: 10.4236/sgre.2015.612027.

References

[1] Karnataka Solar Policy 2014-2021.
http://ireeed.gov.in/policydetails?id=54#
[2] India Solar Resource Maps.
http://mnre.gov.in/sec/solar-assmnt.htm
[3] Broesamle, H., Mannstein, H., Schillings, C. and Trieb, F. (2001) Assessment of Solar Electricity Potentials in North Africa Based on Satellite Data and a Geographic Information System. Solar Energy, 70, 1-12.
https://isites.harvard.edu/fs/docs/icb.topic668790.files/Discussion%202%20Readings/Solar%20Radiation%20in%20
Africa.pdf
http://dx.doi.org/10.1016/S0038-092X(00)00126-2
[4] Hammera, A., Heinemann, D., Hoyera, C., Kuhlemanna, R., Lorenza, E., Mullera, R. and Beyer, H.G. (2003) Solar Energy Assessment Using Remote Sensing Technologies. Remote Sensing of Environment, 86, 423-432.
http://www.uni-oldenburg.de/fileadmin/user_upload/physik/ag/ehf/enmet/publications/solar/journal/2003
http://dx.doi.org/10.1016/S0034-4257(03)00083-X
[5] Suri, M. and Hofierka, J. (2004) A New GIS-Based Solar Radiation Model and Its Application to Photovoltaic Assessments. Transactions in GIS, 8, 175-190.
http://www.readcube.com/articles/10.1111%2Fj.1467-9671.2004.00174.x?r3_referer=wol&tracking_action
=preview_click&show_checkout=1&purchase_referrer=onlinelibrary.wiley.com&purchase_site_license=LICENSE_DENIED
http://dx.doi.org/10.1111/j.1467-9671.2004.00174.x
[6] Khare, V., Nerma, S. and Baredar, P. (2013) Status of Solar Wind Renewable Energy in India. Renewable and Sustainable Energy Reviews, 27, 1-10.
http://ac.els-cdn.com/S136403211300395X/1-s2.0-S136403211300395X-main.pdf?_tid=bc
955690-972f-11e5-b8e3-00000aacb362&acdnat=1448866878_fa12eac4106d050db1f5981956adbff6
http://dx.doi.org/10.1016/j.rser.2013.06.018
[7] Goswami, D. (2012) India’s Solar Sunrise. Renewable Energy Focus, 13, 28-30.
http://dx.doi.org/10.1016/S1755-0084(12)70037-6
[8] Sharma, P. and Harinarayana, T. (2013) Solar Energy Generation Potential along National Highways. International, Journal of Energy and Environmental Engineering, 4, 16.
http://dx.doi.org/10.1186/2251-6832-4-16
[9] Harinarayana, T. and Vasavi K.S.V. (2014) Solar Energy Generation Using Agriculture Cultivated Lands. Smart Grid and Renewable Energy, 5, 31-42.
http://dx.doi.org/10.4236/sgre.2014.511025
[10] Performance of Solar PV Plants in India, 2011. www.cercind.gov.in
[11] Ganguli, S. and Singh, J. (2010) Estimating the Solar Photovoltaic Generation Potential and Possible Plant Capacity in Patiala. International Journal of Applied Engineering Research, Dindigul, 1, No. 2.
http://www.ipublishing.co.in/jarvol1no12010/EIJAER1024.pdf
[12] Bharatkumar, M. and Byregowda, H.V. (2014) Performance Evaluation of 5 MW Grid-Connected Solar Photovoltaic Plant Established in Karnataka. International Journal of Innovative Research in Science, Engineering and Technology, 3.
http://www.ijirset.com/upload/2014/june/88_Performance.pdf
[13] Harinarayana, T. and Kashyap, J.K. (2014) Solar Energy Generation Potential Estimation in India and Gujarat, Andhra, Telangana States. Smart Grid and Renewable Energy, 5, 275-289
www.scirp.org/journal/PaperDownload.aspx?paperID=51455
http://dx.doi.org/10.4236/sgre.2014.511025
[14] Mitavachana, H., Gokhale, A. and Srinivasan, J. (2011) A Case Study of 3-MW Scale Grid-Connected Solar Photovoltaic Power Plant at Kolar, Karnataka. Report by Divecha Centre for Climate Change, Indian Institute of Science. www.dccc.iisc.ernet.in/3MWPV_Plant.pdf
[15] Joshi, J. (2013) A Research Study on Developing Solar Potential Map Using GIS. International Journal of Emerging Trends and Technology in Computer Science, 2.
www.ijettcs.org/Volume2Issue3/IJETTCS-2013-06-21-113.pdf

  
comments powered by Disqus

Copyright © 2017 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.