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Stochastic study of the wind-energy potential of India

Author

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  • Panda, R.K.
  • Sarkar, T.K.
  • Bhattacharya, A.K.

Abstract

Stochastic analyses of hourly wind-energy data for each day of the year were performed at seven representaive weather stations in India. The goal was to develop a probability model for wind data and to assess the wind-energy potential at various locations. None of the standard probability models describes the wind-energy data adequately. However, the Box-Cox transformation may be used to transform the data for all of the stations to a normal distribution. Visakhapatnam has the greatest potential for wind-energy utilization. A Kolmogorov-Smirnov two-sample test was used to test the homogeneity of different weather stations with respect to effective wind-energy distribu tion patterns. The station pairs Visakhapatnam-Madras and Delhi-Calcutta are homogeneous. Although the results obtained are site-specific, the methodology has general applicability.

Suggested Citation

  • Panda, R.K. & Sarkar, T.K. & Bhattacharya, A.K., 1990. "Stochastic study of the wind-energy potential of India," Energy, Elsevier, vol. 15(10), pages 921-930.
    • Handle: RePEc:eee:energy:v:15:y:1990:i:10:p:921-930
    DOI: 10.1016/0360-5442(90)90074-C
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    Cited by:

    1. Díaz, Guzmán & Moreno, Blanca & Coto, José & Gómez-Aleixandre, Javier, 2015. "Valuation of wind power distributed generation by using Longstaff–Schwartz option pricing method," Applied Energy, Elsevier, vol. 145(C), pages 223-233.
    2. Dündar, C. & Inan, D., 1996. "Investigation of wind energy application possibilities for a specific island (Bozcaada) in Turkey," Renewable Energy, Elsevier, vol. 9(1), pages 822-826.
    3. Peillón, Manuel & Sánchez, Raúl & Tarquis, Ana M. & García-Fernández, José L., 2013. "The use of wind pumps for greenhouse microirrigation: A case study for tomato in Cuba," Agricultural Water Management, Elsevier, vol. 120(C), pages 107-114.
    4. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    5. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    6. Mathew, Sathyajith & Pandey, K.P. & Kumar.V, Anil, 2002. "Analysis of wind regimes for energy estimation," Renewable Energy, Elsevier, vol. 25(3), pages 381-399.
    7. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    8. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.

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