Valldecabres, Laura and Peña, Alfredo and Courtney, Michael and von Bremen, Lueder and Kühn, Martin (2018) Very short-term forecast of near-coastal flow using scanning lidars. Wind energy science, 3 (1). pp. 313-327. ISSN 2366-7451

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Official URL: http://dx.doi.org/10.5194/wes-3-313-2018

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.

Item Type: Article
Additional Information: Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Subjects: Science and mathematics > Physics
Divisions: Faculty of Mathematics and Science > Institute of Physics (IfP)
Date Deposited: 12 Sep 2019 10:45
Last Modified: 17 Sep 2019 07:56
URI: https://oops.uni-oldenburg.de/id/eprint/4158
URN: urn:nbn:de:gbv:715-oops-42396
DOI: doi:10.5194/wes-3-313-2018
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