Wind Data Analysis
In order to obtain the best input to WindSim software, measured wind data at the site are inspected, quality checked and long term corrected.
A technique based on measure, correlate and predict (MCP) will be used for the long term correction based on available long term wind datasets. Different MCP algorithms are tested (e.g. Matrix method, linear regression) in order to minimize the long term correction uncertainty.
A climate report summarizes the expected average wind conditions at the measurement point including analysis of turbulence, shear and other measured meteorological parameters.