Dr. Detlev Heinemann
Institut für Physik - Universität Oldenburg
D-26111 Oldenburg, Germany
Phone: +49 441 - 798 5070
E-mail: detleklv.hzkqeinemann@uoawj0bl.de06 (

Wind Energy

Current wind energy research activities of EHF are strongly focused on meteorological aspects of wind power. The aim is to describe the spatio-temporal characteristics of the wind field on different scales. This is used to assess and predict wind conditions at onshore and offshore sites.

Wind Power Prediction

Wind is the "fuel" that drives wind turbines. But wind cannot simply be switched on. Its availibilty is related to the prevailing meteorological conditions. Integrating wind power into electrical grids requires knowledge of the expected power from wind farms two or three days in advance. This is where wind power prediction comes in.

  • Previento - The wind power prediction system
  • Description of the stability of the atmospheric boundary layer
  • Assessing the uncertainty of wind power predictions according to the weather situation
  • Regional smoothing effects for spatially dispersed turbines
  • Wind speed prediction based on numerical weather forecasts
  • EU Project ANEMOS: Extension of short term prediction to offshore sites
  • EU Project HONEYMOON: Embedding short term prediction in numerical weather prediction model

Offshore Wind Power

A substantial part of the future expansion of wind power utilisation is expected to come from offshore wind farms. However, to built and operate a wind farm offshore is more costly than on land. Only the higher wind resource compared to land sites can make offshore wind farms economically attractive. Accurate wind resource assessment and power output predictions are therefore necessary.

Wind Farm Modelling

Modern wind turbines are usually erected as part of a wind farm. Within the wind farm, atmospheric conditions are influenced by the presence of the turbines. These alterations need to be modelled to accurately estimate the expected power output, estimate design parameters, etc. For this purpose, the wind farm layout program FLaP has been developed by the Energy Meteorology group since 1993 and is commercially available since 1996.

  • Modelling power output and energy yield of wind farms
  • FLaP: Computer program for layout and optimization of wind farms
  • EU Project ENDOW: Modelling of offshore wind farms

Grid Integration

Decentralised electricity generation from renewables and other sources with unknown spatial and temporal structure needs to be integrated and controlled in future intelligent electricity distribution grids. A pilot project on 'grid integration of distributed and renewable electricity generation' is carried out in close cooperation with the regional utility EWE AG.

Atmospheric Turbulence

In the Hydrodynamics Research Group high resolution wind data are analysed to investigate the properties of atmospheric turbulence.

Research Training Network

The Wind Energy group takes part in the European Union Research Training Network 'Wind Energy Assessment and Wind Engineering' (WINDENG).

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