Improvements to Sodar Turbulence Intensity Measurements

The wind energy industry is currently developing standards for use of remote sensors in wind resource assessment and power performance applications. One measurement that remains difficult to establish a one-to-one relationship between remote sensors and cup anemometry is turbulence intensity (TI). In wind resource assessment, TI is used for turbine site suitability evaluation; in turbine power performance tests, TI is used to exclude data from the outer range of a turbine’s power performance specification. This presentation presents research using machine learning to train sodar data to cup anemometry TI. The model shows significant improvement in the correlation between the two sensors, across various site and atmospheric conditions.