The RUNE project aims at Reducing the Uncertainty of Near-shore Energy estimates from meso- and micro-scale wind models. The tools are onshore scanning lidars combined with ocean and satellite information.
The ambition of reducing the uncertainty of near-shore wind resources came from experiences with inaccuracy and uncertainty of meso- and microscale models in coastal areas partly due to the complex atmospheric and oceanic phenomena in such regions. Strategically, this is important because these areas are going to be the places where we expect the most offshore wind developments.
But why use meso- and microscale models to investigate the coastal flow? Because we have few meteorological stations and observations at these locations and we need accurate models to predict the wind resources in large coastal areas and at different heights.
And why lidars? Because scanning lidars are a promising cost-effective solution to perform observations of the coastal wind up to a few kilometers offshore, particularly when placed on stations over land.
RUNE will be funded by the ForskEL-program (with a total budget of 4 mio DKK). It is a collaboration research project between DTU Wind Energy, DHI and DONG Energy.
The leader of the project is Alfredo Pena Diaz from the Meteorology Section at DTU Wind Energy. Future collaboration with the Test and Measurement Section will take place.