The primary objective of this paper is to study and analyze the wind characteristics and power potential at the three different places in Nepal. One year of wind speed data measured at 10 m and 20m height above ground level, provided by the Department of Alternative Energy Promotion Center, have been analyzed in this study. Direct use of data including the mathematics of probability and statistics has been applied to compute the wind power potential of the proposed sites with the occurrence of effective wind speed between cut-in and cut-out speed. The diurnal wind speed variation analysis of the three different sites showed that higher wind speed occurred during the daytime and reached a maximum at 3 PM whereas the lowest wind speed occurred after midnight and achieved a minimum at 7 AM to 8 AM. On basis of wind energy potential, Kagbeni has an annual potential energy of 3.98MWhr/m2 at 10m height and 4.82MWhr/m2 at 20m height while Palpa has the potential of 0.27MWhr/m2 and 0.36MWhr/m2 at the two heights with wind speed more or equal to 3m/s. Similarly, Thini has potential of 2.4MWhr/m2 and 2.9MWhr/m2 at 10m and 20m height on the limit of above wind speed. On the monthly basis, Kagbeni and Thini have the highest average wind speed in June whereas Palpa has in March and April. Likewise the highest value of wind speed at Kagbeni, Palpa and Thani are found as 22.53m/s and 21.75m/s; 17.66m/s and 17.11m/s, and 17.9m/s and 7.3m/s in April and March at heights of 10m and 20m respectively.
Sholanov K, Kabanbayev A, Abzhaparov K. Study and Selection of Parameters of Automatically Controlled Wind Power Station with Swaying Sails. International Journal of Renewable Energy Resource 2020; 10: 765-779.
Wind Energy – Introduction, (energypedia.info) https://energypedia.info/wiki/Portal:Wind
Chandel SS, Ramasamy P, Murthy KS. Wind power potential assessment of 12 locations in western Himalayan region of India. Renewable and Sustainable Energy Reviews 2014; 39: 530-45. https://doi.org/10.1016/j.rser.2014.07.050
Joselin HGM, Iniyanb S, Sreevalsan E, Rajapandiand S. A review of wind energy technologies. Renew Sustain Energy Rev 2007; 11: 1117-45. https://doi.org/10.1016/j.rser.2005.08.004
Fırtın E, Güler Ö, Akdağ SA. Investigation of wind shear coefficients and their effect on electrical energy generation. Applied Energy 2011; 88: 4097-4105. https://doi.org/10.1016/j.apenergy.2011.05.025
Durakovic A. August 5, 2020, GWEC: Offshore Wind Capacity to Top 234GW by 2030. https://www.offshorewind. biz/2020/08/05/gwec-offshore-wind-capacity-to-top-234-gw-by-2030/ (viewed on 02.04. 2021)
Laudari R, Sapkota B, Banskota K. Wind farming feasibility assessment in 16 locations of Nepal. Invertis Journal of Renewable Energy 2018; 8(4): 179-91. https://doi.org/10.5958/2454-7611.2018.00026.7
Murthy KS, Rahi OP. A comprehensive review of wind resource assessment. Renewable and Sustainable Energy Reviews 2017; 72: 1320-42. https://doi.org/10.1016/j.rser.2016.10.038
Laudari R, Sapkota B, Banskota K. Validation of wind resource in 14 locations of Nepal. Renewable Energy 2018; 119: 777-86. https://doi.org/10.1016/j.renene.2017.10.068
MoEST, Subsidy for Renewable Energy, Ministry of Science and Technology, Government of Nepal, 2000.
Rural Energy Policy, Ministry of Environment (MoE), Government of Nepal, 2006. https://www.lawcommission. gov.np/en/wp-content/uploads/2018/09/rural-energy-policy-2006.pdf
Solar and Wind Energy Resource Assessment (SWERA) in Nepal-GIS Part, UNEP/GEF, AEPC, 2008. https://policy.asiapacificenergy.org/node/358
Ministry of Finance (2019/20). Economic Survey (Unofficial translation), Government of Nepal Ministry of Finance https://mof.gov.np/uploads/document/file/Economic%20Survey%202019_20201125024153.pdf (viewed on 02.05. 2021)
Ghimire M, Paudel RC. Wind energy resource assessment and feasibility study of wind farm in Kaligandaki river bank of Mustang district, Nepal. Journal of Science and Technology 2010; 11: 159-166. https://doi.org/10.3126/njst.v11i0.4139
Wind Turbine System. http://www.level.org.nz/energy/rene-wable-electricity-generation/wind-turbine-systems/(viewed on 02-05-2021.
Masters GM. Renewable and efficient electric power systems. John Wiley & Sons; 2013 Jun 5. Chapter 6.
Parajuli A. A statistical analysis of wind speed and power density based on Weibull and Rayleigh models of Jumla, Nepal. Energy and Power Engineering 2016; 8(7): 271-82. https://doi.org/10.4236/epe.2016.87026
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.