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Wind energy resource map of Labrador

Author

Listed:
  • Jewer, P.
  • Iqbal, M.T.
  • Khan, M.J.

Abstract

In this paper a wind energy resource map of Labrador, Canada is presented. Surface data collected from weather stations located throughout Labrador has been collected and extrapolated for height and surface condition adjustments. Several mesoscale wind maps have been obtained from the NCEP/NCAR and COADS databases, along with the generation of a couple of mesoscale wind maps with information from a NASA database. By combining the global data based maps and the modified ground data, a wind resource map indicating various classes of wind potential has been developed. This wind resource map indicates that wind speed is strongest in the southeast portion of Labrador in the Battle Harbor region. It has also been found that wind speed gradually decreases from the coastal regions the interior, in addition to a decreasing wind speed moving northward along the coast. Suggestions for future work and development of a complete wind map are also provided.

Suggested Citation

  • Jewer, P. & Iqbal, M.T. & Khan, M.J., 2005. "Wind energy resource map of Labrador," Renewable Energy, Elsevier, vol. 30(7), pages 989-1004.
    • Handle: RePEc:eee:renene:v:30:y:2005:i:7:p:989-1004
    DOI: 10.1016/j.renene.2004.09.006
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    References listed on IDEAS

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    1. Khan, M.J. & Iqbal, M.T., 2004. "Wind energy resource map of Newfoundland," Renewable Energy, Elsevier, vol. 29(8), pages 1211-1221.
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    Cited by:

    1. 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.
    2. M.Z. Ibrahim & A. Albani, 2014. "The Potential of Wind Energy in Malaysian Renewable Energy Policy: Case Study in Kudat, Sabah," Energy & Environment, , vol. 25(5), pages 881-898, July.
    3. 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.
    4. 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.
    5. 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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