Offshore wind power meteorology (OMET)
Poul Astrup
Merete Badger
Charlotte Bay Hasager
Ioanna Karagali
The strategic goals for research on offshore wind
power meteorology include observation, data analysis
and modeling of the marine atmospheric boundary
layer relevant for assessment of offshore wind
resources and wind farm siting, lay-out, operation,
optimization and design.
Søren Larsen
Alfredo Peña
Anna Maria Sempreviva
Yuko Takeyama
The coastal atmospheric boundary layer and the
influence on the vertical profile of the coastal
discontinuity are also covered. Both theoretical and
experimental methods are applied. Atmospheric
dispersion and surface fluxes are modeled based on
observations of the parameters that influence the
marine boundary-layer processes: ocean roughness,
wave height and wave age, air and sea surface
temperature, boundary-layer height, and humidity
amongst others.
Specific issues include the vertical wind profile, spatial
wind patterns and temporal variations from the
turbulent time scale through minutes, days, months
and years to the multi- decadal time scale. Extreme
winds, wind turbine and wind farm wake deficits, wind
turbine loads and air-sea interaction processes are
covered.
Key observation techniques are in-situ measurements
from meteorological masts, and remote sensing
techniques such as ground-based lidars and satellite
remote sensing.
The OMET team contributes to research, innovation, education and research-based public sector service.
In addition to the offshore meteorology expertise atmospheric dispersion is covered.
Mean wind speed at 10 m using satellite data
Number of satellite observations with wind speeds larger than 15 m/s during 10 years
Lidar observations from FINO-3 in the North Sea during storm October 2013 and
From Høvsøre, western Denmark where conditions are very stable and the wind
turns 45 deg in the first 100 m
Mean wind speed in m/s observed from satellite in Italy. The image shows
channeling flow from the west over the ridge in Calabria.
E-learning in wind energy
Study of offshore winds in Japanese waters
Modelling wake and comparing to observations offshore
DTU Wind Energy
Risø Campus
Frederiksborgvej 399
DK-4000 Roskilde, Denmark
Integrating software for offshore wind farm planning
Meteorology
www.vindenergi.dtu.dk