Development and validation of an icing prediction model for wind farms
Wind power
Voir toutes les réalisations Le projet
This project involved the development and validation of the GPEO operational icing and energy loss model (formerly known as GLJM). This model, which uses operational weather forecasts from Environment and Climate Change Canada, is used to model icing caused by freezing rain, freezing clouds and sticky snow.
Observation data from wind farms, collected over two winters, were used to record and characterize icing events. These events were then modeled with GPEO and the corresponding operational losses were calculated. Finally, these same events were modeled by WRF, an industry-standard model, and the performance of WRF and GPEO were compared.
Highlights
The work carried out as part of this project has produced concrete results, both in terms of the performance of the GPEO model and its deployment. Here are the main conclusions.
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The comparison of icing models between GPEO and WRF showed that the models performed similarly.
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After being validated and improved, GPEO can now be used operationally and free of charge to forecast icing events at wind farms.
