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Local wind patterns for modeling renewable energy systems by means of cluster analysis techniques

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  • Gómez-Muñoz, V.M.
  • Porta-Gándara, M.A.

Abstract

A method based on cluster analysis techniques is proposed in order to obtain representative local wind patterns. Modeling renewable energy systems, in an accurate way which strongly depends on wind loads, requires reliable data to analyze their response and evaluate their performance. Otherwise poor agreement with the models may be obtained. In a case study for La Paz, Baja California Sur, Mexico, four different wind patterns were obtained from a one-year data set recorded at 10-min intervals.

Suggested Citation

  • Gómez-Muñoz, V.M. & Porta-Gándara, M.A., 2002. "Local wind patterns for modeling renewable energy systems by means of cluster analysis techniques," Renewable Energy, Elsevier, vol. 25(2), pages 171-182.
    • Handle: RePEc:eee:renene:v:25:y:2002:i:2:p:171-182
    DOI: 10.1016/S0960-1481(01)00013-1
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    References listed on IDEAS

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    1. Toure, Siaka & Meukam, Pierre, 1997. "A numerical model and experimental investigation for a solar still in climatic conditions in Abidjan (Côte d'Ivoire)," Renewable Energy, Elsevier, vol. 11(3), pages 319-330.
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Silva, Allan Rodrigues & Pimenta, Felipe Mendonça & Assireu, Arcilan Trevenzoli & Spyrides, Maria Helena Constantino, 2016. "Complementarity of Brazil׳s hydro and offshore wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 413-427.
    3. Kirchner-Bossi, N. & Prieto, L. & García-Herrera, R. & Carro-Calvo, L. & Salcedo-Sanz, S., 2013. "Multi-decadal variability in a centennial reconstruction of daily wind," Applied Energy, Elsevier, vol. 105(C), pages 30-46.
    4. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.

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