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A geospatial assessment of the techno-economic wind power potential in India using geographical restrictions

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  • Mentis, Dimitrios
  • Siyal, Shahid Hussain
  • Korkovelos, Alexandros
  • Howells, Mark

Abstract

India is a privileged country in terms of wind resource regime. However, most of it remains untapped at the same time as ca 240 million people lack access to electricity in the country (19% of the total population). This calls for a thorough estimation of the amount of wind energy that could be technically and economically seized to assess the potential penetration of wind power into the country’s energy system. The utilization of wind energy is associated with a plethora of localization criteria and thus it should be systematically addressed by spatial assessments to guarantee its harmonization with socio-economic systems, infrastructure and ecosystems. This study focuses on onshore wind power and strives to provide with estimates of techno economic potential based on state of the art wind power technology. Socio-economic, geographical and technical criteria regarding the localization of wind farms are outlined and implemented through a detailed a Geographic Information Systems (GIS) analysis. The levelized cost of wind generated electricity is then calculated geospatially. According to this assessment there are several states that signify high yearly wind energy yield, such as Rajasthan, Andhra Pradesh and Gujarat, whilst Goa and other states indicate the least or negligible wind power potential. The levelized cost of generating electricity ranges between 57 and 100 USD/MWh, which places wind power in a competitive position in the Indian electricity market.

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  • Mentis, Dimitrios & Siyal, Shahid Hussain & Korkovelos, Alexandros & Howells, Mark, 2016. "A geospatial assessment of the techno-economic wind power potential in India using geographical restrictions," Renewable Energy, Elsevier, vol. 97(C), pages 77-88.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:77-88
    DOI: 10.1016/j.renene.2016.05.057
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    1. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    2. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    3. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
    4. Hoogwijk, Monique & de Vries, Bert & Turkenburg, Wim, 2004. "Assessment of the global and regional geographical, technical and economic potential of onshore wind energy," Energy Economics, Elsevier, vol. 26(5), pages 889-919, September.
    5. Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    6. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel & Al-Badi, Abdullah, 2012. "Wind farm land suitability indexing using multi-criteria analysis," Renewable Energy, Elsevier, vol. 44(C), pages 80-87.
    7. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    8. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    9. Nouni, M.R. & Mullick, S.C. & Kandpal, T.C., 2007. "Techno-economics of small wind electric generator projects for decentralized power supply in India," Energy Policy, Elsevier, vol. 35(4), pages 2491-2506, April.
    10. Graditi, G. & Ippolito, M.G. & Telaretti, E. & Zizzo, G., 2016. "Technical and economical assessment of distributed electrochemical storages for load shifting applications: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 515-523.
    11. Garg, Amit & Naswa, Prakriti & Shukla, P.R., 2015. "Energy infrastructure in India: Profile and risks under climate change," Energy Policy, Elsevier, vol. 81(C), pages 226-238.
    12. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    13. Sovacool, Benjamin K., 2008. "Valuing the greenhouse gas emissions from nuclear power: A critical survey," Energy Policy, Elsevier, vol. 36(8), pages 2940-2953, August.
    14. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    15. Boccard, Nicolas, 2009. "Capacity factor of wind power realized values vs. estimates," Energy Policy, Elsevier, vol. 37(7), pages 2679-2688, July.
    16. Gass, Viktoria & Schmidt, Johannes & Strauss, Franziska & Schmid, Erwin, 2013. "Assessing the economic wind power potential in Austria," Energy Policy, Elsevier, vol. 53(C), pages 323-330.
    17. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.
    18. Schallenberg-Rodriguez, Julieta, 2013. "A methodological review to estimate techno-economical wind energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 272-287.
    19. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    20. Kar, Sanjay Kumar & Sharma, Atul, 2015. "Wind power developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 264-275.
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