Calibrating Modelled High-Resolution Time Series with Measurements - Case Study

In wind energy projects, obtaining precise and reliable wind resource data is crucial, yet the available data often remains limited in both time and space. To extend this data into the long term, integrating real-world measurements with model results becomes essential. This study demonstrates the process of improving modelled turbulence using observational data and calibrating high-resolution time series (Vortex TIMES), based on data from a single site in New Zealand (specific location and quantitative results are kept confidential). The calibration refers to Vortex’s unique remodelling methodology, designed to enhance the accuracy of the model by aligning it with actual measurements. The figures presented correspond to the out-of-training period, which represents a timeframe without measured data, illustrating how calibration influences the model’s performance