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Wind energy resource map of Newfoundland

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  • Khan, M.J.
  • Iqbal, M.T.

Abstract

In this paper a wind resource map of Newfoundland is presented. A set of mesoscale wind maps, generated with the aid of NASA and NCEP/NCAR databases was studied for establishing a general pattern of wind speed variation throughout Newfoundland. Ground data from some key locations around Newfoundland is extrapolated for height and surface condition adjustments. By combining the modified ground data with one suitable global data based mesoscale map, a wind resource map indicating various classes of wind potential has been developed. It has been found that wind speed is generally higher in the coastal regions. Eastern Newfoundland, Northern Peninsula and Burin Peninsula have higher wind potential than the Avalon Peninsula and the western coast. Wind speed gradually increases from central Newfoundland towards the coasts. Several suggestions for further investigation and development of a complete wind map are also given.

Suggested Citation

  • Khan, M.J. & Iqbal, M.T., 2004. "Wind energy resource map of Newfoundland," Renewable Energy, Elsevier, vol. 29(8), pages 1211-1221.
    • Handle: RePEc:eee:renene:v:29:y:2004:i:8:p:1211-1221
    DOI: 10.1016/j.renene.2003.12.015
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    Cited by:

    1. Jewer, P. & Iqbal, M.T. & Khan, M.J., 2005. "Wind energy resource map of Labrador," Renewable Energy, Elsevier, vol. 30(7), pages 989-1004.
    2. Carta, José A. & Velázquez, Sergio & Cabrera, Pedro, 2013. "A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 362-400.
    3. Mercer, Nicholas & Sabau, Gabriela & Klinke, Andreas, 2017. "“Wind energy is not an issue for government”: Barriers to wind energy development in Newfoundland and Labrador, Canada," Energy Policy, Elsevier, vol. 108(C), pages 673-683.
    4. Morales, Luis & Lang, Francisco & Mattar, Cristian, 2012. "Mesoscale wind speed simulation using CALMET model and reanalysis information: An application to wind potential," Renewable Energy, Elsevier, vol. 48(C), pages 57-71.
    5. Milanese, Marco & Congedo, Paolo Maria & Colangelo, Gianpiero & Lala, Roberta & Laforgia, Domenico & de Risi, Arturo, 2019. "Numerical method for wind energy analysis in WTG siting," Renewable Energy, Elsevier, vol. 136(C), pages 202-210.
    6. Blackler, T. & Iqbal, M.T., 2006. "Pre-feasibility study of wind power generation in holyrood, newfoundland," Renewable Energy, Elsevier, vol. 31(4), pages 489-502.
    7. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    8. Santiago Salvador & Xurxo Costoya & Francisco Javier Sanz-Larruga & Luis Gimeno, 2018. "Development of Offshore Wind Power: Contrasting Optimal Wind Sites with Legal Restrictions in Galicia, Spain," Energies, MDPI, vol. 11(4), pages 1-25, March.
    9. Milanese, Marco & Tornese, Ljuba & Colangelo, Gianpiero & Laforgia, Domenico & de Risi, Arturo, 2017. "Numerical method for wind energy analysis applied to Apulia Region, Italy," Energy, Elsevier, vol. 128(C), pages 1-10.

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