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Methodology for Generating a Reference Wind Year for Offshore Wind Energy: A Case Study in La Guajira, Colombia

Author

Listed:
  • Adalberto Ospino-Castro

    (Universidad de la Costa, Barranquilla, Colombia)

  • Sharys Romero Navas

    (Universidad de la Costa, Barranquilla, Colombia)

  • Carlos Robles-Algarín

    (Universidad del Magdalena, Santa Marta, Colombia)

Abstract

Due to its excellent potential, wind power has gained importance as a renewable energy source in Colombia, especially in the offshore Caribbean region. However, one of the main challenges in the development of offshore wind projects is the analysis of the wind resource. This study presents the generation of a specific typical meteorological year (TMY) for wind energy in the Colombian Caribbean region, known in the literature as Reference Wind Year (RWY). The methodology used was based on the Sandia method, widely accepted in the analysis of wind resources. A comparison between the cumulative distribution function (CDF) and the statistic approach Finkelstein-Schafer (FS) was applied to evaluate multiple meteorological parameters in the study area associated with wind resource potential assessment, such as wind speed and direction, temperature and atmospheric pressure, compiled for 10 years (2012-2021). The representative years were weighted according to their importance and combined into a dataset. The results indicated that the proposed method was able to generate highly representative and accurate data for the case study in La Guajira, Colombia, guaranteeing its suitability for implementation in other locations with different climatic conditions.

Suggested Citation

  • Adalberto Ospino-Castro & Sharys Romero Navas & Carlos Robles-Algarín, 2024. "Methodology for Generating a Reference Wind Year for Offshore Wind Energy: A Case Study in La Guajira, Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 356-364, September.
    • Handle: RePEc:eco:journ2:2024-05-36
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    References listed on IDEAS

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    1. Adaramola, Muyiwa S., 2012. "Estimating global solar radiation using common meteorological data in Akure, Nigeria," Renewable Energy, Elsevier, vol. 47(C), pages 38-44.
    2. Eikrem, Kjersti Solberg & Lorentzen, Rolf Johan & Faria, Ricardo & Stordal, Andreas Størksen & Godard, Alexandre, 2023. "Offshore wind farm layout optimization using ensemble methods," Renewable Energy, Elsevier, vol. 216(C).
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    More about this item

    Keywords

    Offshore Wind; Typical Meteorological Year; Reference Wind Year; Finkelstein-Schafer Statistics; Sandia Method;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

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