Printed book · Report
Meso- scale Wind Variability. Final Report
Meteorology, Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1
Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2
Risø National Laboratory for Sustainable Energy, Technical University of Denmark3
Wind Energy Systems, Wind Energy Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark4
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark5
Department of Informatics and Mathematical Modeling, Technical University of Denmark6
The project has aimed to characterize mesoscale meteorological phenomenon for the North Sea and the Inner Danish waters, and additionally aimed on improving the predictability and quality of the power production from offshore windfarms. The meso-scale meteorology has been characterized with respect to the physical processes, climatology, spectral characteristics and correlation properties based on measurements from wind farms, satellite data (SAR) and mesoscale numerical modeling (WRF).
The abilities of the WRF model to characterize and predict relevant mesoscale phenomenon has been proven. Additionally application of statistical forecasting, using a Markov switching approach that can be related to the meteorological conditions, to analyze and short term predict the power production from an offshore wind farms have been documented.
Two PhD studies have been conducted in connection with the project. The project has been a cooperative project between Risø DTU, IMM DTU, DONG Energy, Vattenfall and VESTAS. It is registered as Energinet.dk, project no. 2007-1-7141.
Language: | English |
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Publisher: | Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi |
Year: | 2011 |
Pages: | 114 s. |
Series: | Denmark. Forskningscenter Risoe. Risoe-r |
ISBN: | 8755039375 and 9788755039377 |
ISSN: | 01062840 |
Types: | Printed book and Report |
ORCIDs: | Larsén, Xiaoli Guo , Sørensen, Poul Ejnar , Pinson, Pierre , Madsen, Henrik and Cutululis, Nicolaos Antonio |