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Wind resource estimates with an analog ensemble approach

  • Emilie Vanvyve
  • , Luca Delle Monache
  • , Andrew J. Monaghan
  • , James O. Pinto
    • National Center for Atmospheric Research
    • Met Office

    Research output: Contribution to journalArticlepeer-review

    66 Scopus citations

    Abstract

    The wind resource and energy assessment is key to a wind farm development project. It allows for establishing the feasibility and economic viability of the project over the typical 10- to 30-year lifetime of a wind farm. Recent studies show that the accuracy of assessments has substantial room for improvement. Estimating and reducing uncertainty is important to secure financing and ensure the confidence of investors. A new method is proposed and demonstrated for the long-term estimation of the wind speeds at a target site, a key step in assessments. The method is based on ensembles made of analogs between a short-term observational record from the target site and a long-term historical record from a nearby site or an atmospheric model. It provides a high-quality long-term wind resource estimate, characterized by an accurate wind speed time series and frequency distribution. It also provides a reliable estimate of the uncertainty based on the actual physical processes determining the current atmospheric flow rather than the climatological wind distribution.

    Original languageEnglish
    Pages (from-to)761-773
    Number of pages13
    JournalRenewable Energy
    Volume74
    DOIs
    StatePublished - Feb 1 2015

    Keywords

    • Analog ensemble
    • Long-term wind resource assessment
    • Uncertainty quantification
    • Wind energy

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