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Wind power potential assessment of 12 locations in western Himalayan region of India

Author

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  • Chandel, S.S.
  • Ramasamy, P.
  • Murthy, K.S.R

Abstract

Wind power potential of a location has to be assessed for its effective utilization. The objective of the present study is to assess the wind resource potential of the western Himalayan Indian state of Himachal Pradesh to identify potential sites along with providing inputs to policy makers for exploiting wind potential of the region for wind power generation and mechanical applications. An overview of current status of wind resource assessment studies is presented to identify suitable techniques. Wind Energy Pattern Factor (WEPF) method is used to assess the wind potential of 12 locations covering different terrains and climatic zones using wind data for the period 2008–2012. Weibull and cumulative wind distributions, Weibull parameters and Wind Power Density (WPD) are determined for these locations. The highest daily mean wind speeds are observed in summers and lowest in winters in the region. Wind shear analysis is carried out which shows that wind speeds at 30m, 50m, 80m and 100m hub heights are found to increase by 10–17%, 26%, 34% and 39% respectively than those measured at 10m height. The mean wind speed and WPD for the 12 locations are found to be in the range 3.9–4.7m/s, 4.7–5.8m/s, 5.7–7m/s, 6.2–7.7m/s and 14.09–22.15W/m2, 52.67–82.79W/m2, 97.23–152.82W/m2, 170.9–268.62W/m2, 223.37–351.1W/m2 at 30m, 50m, 80m and 100m heights respectively; thereby indicating fairly good wind potential for rooftop micro-wind turbines, battery charging, water pumping and wind power generation in western Himalayan region. WEPF method is also tested for accuracy. A correlation between measured wind data of Hamirpur and NASA wind data is developed with root mean square error as 0.3855 and R2 as 92.61% showing that the method has sufficient accuracy. The correlation is used to predict measured wind speeds and power for locations for which measured wind data are not available. Further follow-up research areas are also identified.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:39:y:2014:i:c:p:530-545
    DOI: 10.1016/j.rser.2014.07.050
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Izadyar, Nima & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2016. "Resource assessment of the renewable energy potential for a remote area: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 908-923.
    3. Baseer, M.A. & Meyer, J.P. & Alam, Md. Mahbub & Rehman, S., 2015. "Wind speed and power characteristics for Jubail industrial city, Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1193-1204.
    4. Ramasamy, P. & Chandel, S.S. & Yadav, Amit Kumar, 2015. "Wind speed prediction in the mountainous region of India using an artificial neural network model," Renewable Energy, Elsevier, vol. 80(C), pages 338-347.
    5. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
    6. repec:eee:rensus:v:76:y:2017:i:c:p:425-433 is not listed on IDEAS
    7. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    8. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.

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