Very short-term forecast of near-coastal flow using scanning lidars

Laura Valldecabres*, Alfredo Pena Diaz, Michael Courtney, Lueder von Bremen, Martin Kühn

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Wind measurements can reduce the uncertainty in the prediction of wind energy production. Today, commercially available scanning lidars can scan the atmosphere up to several kilometres. Here, we use lidar measurements to forecast near-coastal winds with lead times of 5 min. Using Taylor's frozen turbulence hypothesis together with local topographic corrections, we demonstrate that wind speeds at a downstream position can be forecast by using measurements from a scanning lidar performed upstream in a very short-term horizon. The study covers 10 periods characterised by neutral and stable atmospheric conditions. Our methodology shows smaller forecasting errors than those of the persistence method and the autoregressive integrated moving average (ARIMA) model. We discuss the applicability of this forecasting technique with regards to the characteristics of the lidar trajectories, the site-specific conditions and the atmospheric stability.
    Original languageEnglish
    JournalWind Energy Science
    Volume3
    Issue number1
    Pages (from-to)313-327
    ISSN2366-7443
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Renewable energy sources
    • TJ807-830

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