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Preliminary assessment of wind power potential over the coastal region of Bheemunipatnam in northern Andhra Pradesh, India

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  • Murthy, K.S.R.
  • Rahi, O.P.

Abstract

This paper presents a preliminary Wind Power Potential (WPP) assessment for coastal site Bheemunipatnam located in the northern region of Andhra Pradesh, India. The novelty and major contribution of this paper stems from the fact that till date WPP has been done only up to the height of 80 m and no one has attempted it up to the height of 150 m in the steps of 10 m for said site. Power law has been used to estimate WPP at these heights. The paper will be a guiding document for policy makers, power and energy engineers as well as for researchers working in this area for providing solution to the problem of burgeoning gap between demand and supply of energy. The Cubic Factor (CF) method and Weibull model have been subjected in the present analysis. The long-term daily wind speed data for the period of 32 years (1983–2014) at a 10 m height has been collected from NASA website. In addition, Weibull and cumulative distribution functions have been determined at different heights. Finally, comparison of mean Wind Power Density (WPD) obtained from both the models has been statistically investigated, tested, and presented in section 5 and 6, respectively.

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  • Murthy, K.S.R. & Rahi, O.P., 2016. "Preliminary assessment of wind power potential over the coastal region of Bheemunipatnam in northern Andhra Pradesh, India," Renewable Energy, Elsevier, vol. 99(C), pages 1137-1145.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:1137-1145
    DOI: 10.1016/j.renene.2016.08.017
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    1. Aggarwal, R.K. & Chandel, S.S., 2010. "Emerging energy scenario in Western Himalayan state of Himachal Pradesh," Energy Policy, Elsevier, vol. 38(5), pages 2545-2551, May.
    2. Ekström, Jussi & Koivisto, Matti & Mellin, Ilkka & Millar, John & Saarijärvi, Eero & Haarla, Liisa, 2015. "Assessment of large scale wind power generation with new generation locations without measurement data," Renewable Energy, Elsevier, vol. 83(C), pages 362-374.
    3. Vogiatzis, N. & Kotti, K. & Spanomitsios, S. & Stoukides, M., 2004. "Analysis of wind potential and characteristics in North Aegean, Greece," Renewable Energy, Elsevier, vol. 29(7), pages 1193-1208.
    4. Lund, Henrik, 2005. "Large-scale integration of wind power into different energy systems," Energy, Elsevier, vol. 30(13), pages 2402-2412.
    5. Carolin Mabel, M. & Fernandez, E., 2008. "Growth and future trends of wind energy in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1745-1757, August.
    6. Ritter, Matthias & Shen, Zhiwei & López Cabrera, Brenda & Odening, Martin & Deckert, Lars, 2015. "Designing an index for assessing wind energy potential," Renewable Energy, Elsevier, vol. 83(C), pages 416-424.
    7. Carneiro, Tatiane C. & Melo, Sofia P. & Carvalho, Paulo C.M. & Braga, Arthur Plínio de S., 2016. "Particle Swarm Optimization method for estimation of Weibull parameters: A case study for the Brazilian northeast region," Renewable Energy, Elsevier, vol. 86(C), pages 751-759.
    8. Gualtieri, Giovanni & Secci, Sauro, 2012. "Methods to extrapolate wind resource to the turbine hub height based on power law: A 1-h wind speed vs. Weibull distribution extrapolation comparison," Renewable Energy, Elsevier, vol. 43(C), pages 183-200.
    9. Cavazzi, S. & Dutton, A.G., 2016. "An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK's offshore wind energy potential," Renewable Energy, Elsevier, vol. 87(P1), pages 212-228.
    10. Maxoulis, Christos N. & Kalogirou, Soteris A., 2008. "Cyprus energy policy: The road to the 2006 world renewable energy congress trophy," Renewable Energy, Elsevier, vol. 33(3), pages 355-365.
    11. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    12. Drew, D.R. & Barlow, J.F. & Cockerill, T.T. & Vahdati, M.M., 2015. "The importance of accurate wind resource assessment for evaluating the economic viability of small wind turbines," Renewable Energy, Elsevier, vol. 77(C), pages 493-500.
    13. Bataineh, Khaled M. & Dalalah, Doraid, 2013. "Assessment of wind energy potential for selected areas in Jordan," Renewable Energy, Elsevier, vol. 59(C), pages 75-81.
    14. Kaldellis, J.K., 2008. "The wind potential impact on the maximum wind energy penetration in autonomous electrical grids," Renewable Energy, Elsevier, vol. 33(7), pages 1665-1677.
    15. Johnson, Dana L. & Erhardt, Robert J., 2016. "Projected impacts of climate change on wind energy density in the United States," Renewable Energy, Elsevier, vol. 85(C), pages 66-73.
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