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Wind energy resource assessment for the Fiji Islands: Kadavu Island and Suva Peninsula

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  • Sharma, Kaushik
  • Ahmed, M. Rafiuddin

Abstract

Wind energy assessment of two sites in the Fiji Islands is presented. The wind resource of the remote island of Kadavu is analysed along with the urban Suva Peninsula. The former has average (mean) wind speeds of 3.59 ms−1and 3.88 ms-1 at 20 m and 34 m above ground level (AGL). The latter has average wind speeds of 5.65 ms-1 and 6.38 ms-1, respectively. The prevailing wind direction for both the sites corresponds to the South-East winds. A wind shear analysis shows the variations in wind speeds during different periods of the day for the Suva site. A high resolution wind resource map of both the sites is simulated using the WAsP software for a radius of 5 km. The WasP analysis indicates good wind power development potential for Kadavu is for the windward side of the Kadavu ridge in the eastern region. The Suva Peninsula site showed good wind power development potential for the Laucala Bay area. A power analysis using the Vestas V27 225 kW turbine is carried out for the specific sites.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:168-180
    DOI: 10.1016/j.renene.2015.12.014
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    Cited by:

    1. 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.
    2. Ismail Kamdar & Shahid Ali & Juntakan Taweekun & Hafiz Muhammad Ali, 2021. "Wind Farm Site Selection Using WAsP Tool for Application in the Tropical Region," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    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. 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).
    5. Joseph, Lionel P. & Deo, Ravinesh C. & Prasad, Ramendra & Salcedo-Sanz, Sancho & Raj, Nawin & Soar, Jeffrey, 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks," Renewable Energy, Elsevier, vol. 204(C), pages 39-58.
    6. Allouhi, A. & Zamzoum, O. & Islam, M.R. & Saidur, R. & Kousksou, T. & Jamil, A. & Derouich, A., 2017. "Evaluation of wind energy potential in Morocco's coastal regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 311-324.
    7. Kirsty Anantharajah, 2019. "Governing Climate Finance in Fiji: Barriers, Complexity and Interconnectedness," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    8. Romanic, Djordje & Parvu, Dan & Refan, Maryam & Hangan, Horia, 2018. "Wind and tornado climatologies and wind resource modelling for a modern development situated in “Tornado Alley”," Renewable Energy, Elsevier, vol. 115(C), pages 97-112.
    9. Gugliani, G.K. & Sarkar, A. & Ley, C. & Mandal, S., 2018. "New methods to assess wind resources in terms of wind speed, load, power and direction," Renewable Energy, Elsevier, vol. 129(PA), pages 168-182.

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