Badger, Jake

Giebel, Gregor

Larsén, Xiaoli Guo

Madsen, H.

Nielsen, H. Aa.

Nielsen, T.S.

Tøfting, J.

In this report investigations using atmospheric stability measures to improve wind speed predictions at wind farm sites are described. Various stability measures have been calculated based on numerical weather prediction model output. Their ability to improve the wind speed predictions is assessed at three locations. One of the locations is in complex terrain. Mesoscale modelling has been carried out using KAMM at this location. The characteristics of the measured winds are captured well by the mesoscale modelling. It can be seen that the atmospheric stability plays an important role in determining how the flow is influence by the terrain. A prediction system employing a look-up table approach based on wind class simulations is presented. The mesoscale modelling results produced by KAMM were validated using an alternative mesoscale model called WRF. A good agreement in the results of KAMM and WRF was found. It is shown that including a stability parameter in physical and/or statistical modelling can improve the wind speed predictions at a wind farm site. A concept for the inclusion of a stability measure in the WPPT prediction system is presented, and the testing of the concept is outlined

Online Research Database In Technology

Report on the use of stability parameters and mesoscale modelling in short-term prediction

http://orbit.dtu.dk/ws/files/7703176/ris_r_1614.pdf

Report on the use of stability parameters and mesoscale modelling in short-term prediction

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Online Research Database In Technology