With the help of specialized software and our professional knowledge of the Computational Fluid Dynamic, we calculate the basic wind characteristics and determine the turbulence and the change in wind speed with the change of height
Uncertainty
Assessment of the likelihood that the measured data will be representative of the actual conditions. We use specific methodology based on scientific research and our experience in the projects implemented so far. To calculate the statistical probability Р50, Р90, Р75, etc., the following parameters are taken into account:
*Icing and blade degradation
*High Wind Hysteresis
*Maintenance
*Data standard error
*Measurement accuracy of the anemometers
*Shade effect of the mast
*Sensors configuration
*Data recording and evaluation
*Extrapolation to the turbine hub height
*Uncertainty in the wake and topographic modeling
*variability in future mean wind speeds
*Representativeness over longer periods
* Wind rose uncertainty
* Energy loss factor assumptions
*Uncertainty associated with correlating and extrapolating between masts
Measure-Correlate-Predict
Use of MCP specific methodologies and knowledge for the purpose of data extension and measurement replacement.
Considerable improvement in the data representativeness through comparison of the measurements with meteorological and modelled data collected over many years.
This reduces the possibility for unrepresentativeness of the measurement data and thus the requirements of the banks for project financing are met.