Icing conditions may cause significant wind power
production losses, which increase short-term wind power
forecasting errors if not taken into account. In this
study real measurements and production data were used to
evaluate a method to estimate production losses due to
icing. The result of this study is called production loss
module and it can be used as part of wind power
forecasting system. Production loss module defines
production losses based on icing time and wind speed
inputs from weather prediction model. This publication
describes only the production loss module and the
procedure how it was created. Weather prediction models
and forecasting of icing events are not considered here.
Production loss estimation method used by the module is
based on icing induced power loss in reference data.
Icing periods in real production data were classified
based on wind speed and duration of power loss.
Statistics of these power losses were then used to
estimate the production losses during icing events.
Power loss gets increasingly more severe the longer the
icing event lasts. The largest power loss occurs during
the first icing hour. This would suggest that even short
icing events can have significant effects on wind power
plant performance and on short term wind power
|Place of Publication||Espoo|
|Publisher||VTT Technical Research Centre of Finland|
|Number of pages||26|
|Publication status||Published - 2013|
|MoE publication type||Not Eligible|
- wind turbine
- production loss