Abstract
Here we discuss the status and challenges in the development of atlases for the assessment of the regional and global wind resources. The text more specifically describes a methodology that is under development at DTU Wind Energy in Denmark. As the wind assessment is based on mesoscale modelling, some of the specific challenges in mesoscale modelling for wind energy purposes are discussed such as wind profiles and long-term statistics of the wind speed time series. Solutions to these challenges will help secure an economic and effective deployment of wind energy.
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Abbreviations
- 4DVar:
-
Four-dimensional variational
- AGL:
-
Above ground level
- ASTER:
-
Advanced Spaceborne Thermal Emission and Reflection Radiometer
- BouLac:
-
Bougeault-Lacarrère PBL
- CFDDA:
-
NCAR Climate four-dimensional data assimilation
- CFSR:
-
NOAA Climate forecast system reanalysis
- CORINE:
-
Coordination of information on the environment
- DEM:
-
Digital Elevation Map
- DTU:
-
Technical University of Denmark
- EU:
-
European Union
- EEA:
-
European Environment Agency
- ECMWF:
-
European Centre for Medium-Range Weather Forecasts
- ERA Interim:
-
ECMWF Interim Reanalysis
- ESA:
-
European Space Agency
- FDDA:
-
Four-dimensional data assimilation (nudging)
- FINO:
-
German Research Platform in the North and East Sea (Forschungsplattformen in Nord- und Ostsee)
- FINO1:
-
FINO platform 1 (German North Sea)
- FINO2:
-
FINO platform 2 (German Baltic Sea)
- FNL:
-
NCEP Final Analysis
- FROGFOOT:
-
Program for WAsP calculations over large areas
- GEOS5:
-
NASA Goddard Earth Observing System Model, Version 5
- GFS:
-
NOAA Global Forecast System
- HRSST:
-
High-resolution SST
- LCCS:
-
Land cover classification system
- MERRA:
-
Modern Era Retrospective Analysis for Research and Applications
- MM5:
-
Mesoscale Model Version 5 (predecessor of WRF)
- MYJ:
-
Mellor-Yamada-Janjic PBL scheme
- MYNN2:
-
Mellor-Yamada-Nakanishi-Niino Level 2 PBL scheme
- MYNN3:
-
Mellor-Yamada-Nakanishi-Niino Level 3 PBL scheme
- NASA:
-
National Space Administration (USA)
- NCAR:
-
National Center for Atmospheric Research (USA)
- NCEP:
-
NOAA National Center for Environmental Prediction (USA)
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Acknowledgements
The study was supported by the Danish Council for Strategic Research, project number 2104-08-0025 named “Tall Wind”, the EC FP7 project NORSEWIND (TREN-FP7EN-219048), and the Danish Energy Agency (grant EUDP 11-II, Globalt Vind Atlas, 64011–0347). The study is a part of activities within the COST Actions ES1002 and ES0702. We would like to thank the Test and Measurements section of DTU Wind Energy for the maintenance of the Høvsøre database.
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Gryning, SE., Badger, J., Hahmann, A.N., Batchvarova, E. (2014). Current Status and Challenges in Wind Energy Assessment. In: Troccoli, A., Dubus, L., Haupt, S. (eds) Weather Matters for Energy. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9221-4_13
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