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Examining wind quality and wind power prospects on Fiji Islands

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  • Kumar, Ajal
  • Prasad, Shivneel

Abstract

Wind resource analysis was carried out for two major islands in the Fiji. Wind data from July 1993 to June 2005 from NASA data base was analysed. Annual seasonal variation in wind speed, direction and power density were analysed for various locations. The average yearly wind speed for Fiji is between 5 and 6m/s with average power density of 160W/m2. Site specific validation showed no significant relationship between NASA and experimental data. The wind resource at Laucala Bay has a power density of 131W/m2 at 55m. The expected annual energy produced from a 275kW GEV Vergnet wind turbine is 344MWh. The capacity factor of the turbine is expected to be 14.3% with an overall efficiency of 37%. The electricity generated would cost $FJ 0.27 perkWh. The system will payback its worth in 12.2 years.

Suggested Citation

  • Kumar, Ajal & Prasad, Shivneel, 2010. "Examining wind quality and wind power prospects on Fiji Islands," Renewable Energy, Elsevier, vol. 35(2), pages 536-540.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:2:p:536-540
    DOI: 10.1016/j.renene.2009.07.021
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    1. Arifujjaman, Md. & Iqbal, M. Tariq & Quaicoe, John E., 2008. "Energy capture by a small wind-energy conversion system," Applied Energy, Elsevier, vol. 85(1), pages 41-51, January.
    2. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
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    Cited by:

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    2. Dayal, Kunal K. & Cater, John E. & Kingan, Michael J. & Bellon, Gilles D. & Sharma, Rajnish N., 2021. "Wind resource assessment and energy potential of selected locations in Fiji," Renewable Energy, Elsevier, vol. 172(C), pages 219-237.
    3. Prasad, Ravita D. & Raturi, Atul, 2017. "Grid electricity for Fiji islands: Future supply options and assessment of demand trends," Energy, Elsevier, vol. 119(C), pages 860-871.
    4. Erdinc, Ozan & Paterakis, Nikolaos G. & Catalão, João P.S., 2015. "Overview of insular power systems under increasing penetration of renewable energy sources: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 333-346.
    5. Norouzi, Maryam & Yeganeh, Mansour & Yusaf, Talal, 2021. "Landscape framework for the exploitation of renewable energy resources and potentials in urban scale (case study: Iran)," Renewable Energy, Elsevier, vol. 163(C), pages 300-319.
    6. Dayal, Kunal K. & Bellon, Gilles & Cater, John E. & Kingan, Michael J. & Sharma, Rajnish N., 2021. "High-resolution mesoscale wind-resource assessment of Fiji using the Weather Research and Forecasting (WRF) model," Energy, Elsevier, vol. 232(C).
    7. Ram, Krishnil R. & Lal, Sunil P. & Ahmed, M. Rafiuddin, 2019. "Design and optimization of airfoils and a 20 kW wind turbine using multi-objective genetic algorithm and HARP_Opt code," Renewable Energy, Elsevier, vol. 144(C), pages 56-67.
    8. Sharma, Kaushik & Ahmed, M. Rafiuddin, 2016. "Wind energy resource assessment for the Fiji Islands: Kadavu Island and Suva Peninsula," Renewable Energy, Elsevier, vol. 89(C), pages 168-180.
    9. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
    10. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Farabi-Asl, Hadi, 2018. "A comprehensive approach for wind power plant potential assessment, application to northwestern Iran," Energy, Elsevier, vol. 164(C), pages 344-358.
    11. Soulouknga, M.H. & Doka, S.Y. & N.Revanna, & N.Djongyang, & T.C.Kofane,, 2018. "Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution," Renewable Energy, Elsevier, vol. 121(C), pages 1-8.
    12. Watts, David & Oses, Nicolás & Pérez, Rodrigo, 2016. "Assessment of wind energy potential in Chile: A project-based regional wind supply function approach," Renewable Energy, Elsevier, vol. 96(PA), pages 738-755.
    13. Rostami, Raheleh & Khoshnava, Seyed Meysam & Lamit, Hasanuddin & Streimikiene, Dalia & Mardani, Abbas, 2017. "An overview of Afghanistan's trends toward renewable and sustainable energies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1440-1464.

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