Open Access Peer-reviewed Research Article

Technical and economic prospect of wind energy at Lapaha, Tonga

Main Article Content

Ajal Kumar
Sione Lui Tausinga corresponding author
Kaushal Kishore
Krishnam Nair
Dinesh Rao


The wind at 50 m above ground level (a.g.l) was measured for 22 months. The mean wind speed predicted by Wind Atlas Analysis and Application Program (WAsP) at Lapaha was 6.39 m/s and the power density were 279 W/m2. The prevailing wind direction at Lapaha site was East and Southeast direction with a low turbulence. The WAsP wind map indicated that Lapaha has a good wind potential for power production. A wind farm consisting of four Vergnet 275 kW wind turbines at Lapaha site is expected to pay itself back in 9 years with a Benefit to Cost Ratio (BCR) of 1.74, a Levelized Cost of Energy (LCoE) in Tongan Pa’anga (TOP) of 0.10/kWh compared to TOP 0.86/kWh presently charged to domestic consumers. The expected internal rate of return (IRR) would be 50% and with a life time of 25 years. The expected cost saved from the wind farm is TOP 1.3 million per year, which is equivalent to 1.3 million liters of diesel saved, resulting in 535 tons less CO2 emitted annually. The proposed wind farm is expected to decrease diesel consumption by 20% annually.

wind energy, WAsP, Weibull PDF, Rayleigh PDF, wind farm, Lapaha, Tonga

Article Details

Supporting Agencies
Tonga Energy Department Ministry of MEIDECCC
How to Cite
Kumar, A., Tausinga, S., Kishore, K., Nair, K., & Rao, D. (2020). Technical and economic prospect of wind energy at Lapaha, Tonga. Resources and Environmental Economics, 2(1), 136-142.


  1. Kumar A and Nair K. Wind Power Potential at Benau, Savusavu, Vanua Levu, Fiji. International Journal of Energy, Information and Communications, 2013, 4(1): 51-62.
  2. Monthly WP. Samoa gets first wind project — Windpower Monthly. 2014.
  3. Isaka M, Mofor L and Wade H. Pacific Lighthouses: Kiribati. 2013.
  4. Zieroth G. Feasibility of grid-connected wind power for Rarotonga cook islands draft report feasibility of grid connected wind power for Rarotonga Cook Islands, 2006.
  5. Sarah H and Radanne P. Tuvalu Renewable Energy Study Current Energy Use and Potential for Renewable Energies, 2006.
  6. Services I. Wind energy feasibility study for kiritimati island republic of Kiribati client Energy Planning Unit, Ministry of Public Works, Republic of Kiribati, 2012.
  7. EFL. Wind Energy Projects — Energy Fiji Limited, 2018.
  8. Palmer-Wilson AK, Matzarakis PA and Cheng PP. Report based on the master thesis for the partial fulfillment of the requirements to be awarded the Master of Science in Renewable Energy Management: A Pre-Feasibility Study onWind Energy for Tongatapu Island , Kingdom of Tonga First Examiner: Second E, 2012.
  9. Tonga Department of Statistic. Tonga 2006 census of population and housing: Administrative report and basic tables, Vol. 1, 2008.
  10. Googlemap. Mua - Google Maps, 2018.,+Tonga
  11. ADB. Guidelines forWind Resource Assessment Best Practices for Countries Initiating Wind Development. 2014: 1- 49.
  12. Topalo F. Analysis of Wind Data, Calculation of Energy Yield Potential, and Micrositing Application with WAsP and Huseyin Pehlivan. Advances in Meteorology, 2018, ID: 2716868.
  13. Waewsak J, Chancham C, Landry M, et al. An Analysis of Wind Speed Distribution at Thasala, Nakhon Si Thammarat, Thailand. Journal of Energy and Environmental Sustainability, 2011, 2: 51-55.
  14. Carrasco-Diaz, Magdiel-Rivas D , Orozco-Contreras M, et al. An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico. Renewable Energy, 2015, 78: 295-305.
  15. Dawde OY.Wind Resource Data Analysis: The case of MYDERHU project site, Tigray regional state, Ethiopia, 2013.
  16. Khadem SK and Hussain M. A pre-feasibility study of wind resources in Kutubdia Island, Bangladesh. Renewable Energy, 2006, 31(14): 2329-2341.
  17. Venkata S and Krishnamurthy S. Wind energy explained: Theory, Design, and application. Power & Energy Magazine IEEE, 2003, 1(6): 50-51.
  18. Yahaya A and Yohanna AA. A Note on Generalized Weibull-Rayleigh Distribution with Its Applications. 2017, 1(1): 174-178.
  19. Sathyajith M. Wind Energy: Funamentals, Resource Analysis and Economics. 2006.
  20. Gnatowska R and Was A. Wind Energy in Poland - Economic analysis of wind farm (E3S Web Conf.), 2017.
  21. Wind. The payback period, return on investment and cost per kilowat-hour of wind power, 2018.
  22. Knight J. Wind Power vs Diesel Power vs Solar Power (Comparison) Uprise Energy Portable Renewable Energy. Uprise Energy, 2012.
  23. AWEA. Wind Power Environmental Benefits, 2017.
  24. Kusiak A and Song Z. Design of wind farm layout for maximum wind energy capture. Renewable Energy, 2010, 35(3): 685-694.
  25. WerapunW, Tirawanichakul Y andWaewsak J.Wind Shear Coefficients and their Effect on Energy Production. Energy Procedia, 2017, 138: 1061-1066.
  26. Jose L, Stival L, Guetter AK, et al. The impact of wind shear and turbulence intensity on wind turbine power performance O impacto do cisalhamento do vento e da intensidade de turbulˆencia no desempenho da turbina eolica. 2017, 27(27): 11-20.
  27. Soulouknga MH, Doka SY, Revanna N, et al. Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution. Renewable Energy, 2018, 121: 1-8.
  28. Kumar A and Prasad S. Examining wind quality and wind power prospects on Fiji Islands. Renewable Energy, 2010, 35(2): 536-540.
  29. TPL. Wind Power, Tonga Power Limited, 2013.
  30. TPL. Solar Energy Projects—Tonga Power Limited, 2014.