Conference article

Wind Energy Resources of the South Baltic Sea

Charlotte Hasager
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Jake Badger
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Ferhat Bingöl
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Niels-Erik Clausen
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Andrea Hahmann
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Ioanna Karagali
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Merete Badger
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Alfredo Peña
Risø National Laboratory for Sustainable Energy, DTU, Roskilde, Denmark

Download articlehttp://dx.doi.org/10.3384/ecp110574050

Published in: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:1, p. 4050-4057

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Published: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

The wind resources of the South Baltic Sea in the area between latitude 54 and 58 degrees North and longitude 10 to 22 degrees East are quantified from state-of-the-art methods using a combination of long-term and short-term mesoscale modeling output and satellite-based methods. The long-term overall statistics based on the NCEP/NCAR re-analysis dataset will be used in combination with more than one year of real time simulations using the Weather Research and Forecasting (WRF) mesoscale model operated at Risø DTU. The satellite Synthetic Aperture Radar (SAR) ocean wind maps and scatterometer ocean wind maps from QuikSCAT will be used to evaluate the wind resource calculation. The advantage of including SAR wind maps for evaluation is the finer spatial detail. In some regions; the mesoscale model may not fully resolve the wind-producing atmospheric structures. The satellites; however; only provides information at 10 m above sea level; whereas the mesoscale model provide results at several heights.

Keywords

Offshore wind; mesoscale model; satellite data

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