Vortex TIMES is a comprehensive wind dataset that offers a long-term, high-resolution 10-minute time series specific to a particular location. It includes a range of meteorological variables relevant for wind resource assessment, including wind standard deviation. TIMES spans up to 30 years, covering heights from 10 to 440 meters above ground level.
TIMES unveils the full potential of modelled time series, empowering in-depth energy yield assessment studies that significantly reduce uncertainty in estimations. This dataset simplifies evaluations of site variability and offers invaluable insights into the interrelationships of variables such as turbulence, shear, atmospheric stability, and more.
You can initiate the TIMES simulation through the Vortex Interface. Once you input the coordinates and select the desired period (10, 20, or 30 years), submit the TIMES simulation. After the calculation finishes, you can request 10-minute time series data at any height ranging from 10 to 440 meters.
A baseline simulation of the Weather Research and Forecasting (WRF) model, which doesn’t explicitly resolve microscale features, is conducted for the entire period. Data is stored at 10-minute intervals during this simulation. This baseline is then augmented by a shorter high-resolution microscale Large Eddy Simulation (LES) simulation. The LES simulation enhances the accuracy of wind distribution, turbulence intensity, and sub-hourly variability in the data.
Vortex TIMES can be calibrated with your measurement data—at no extra cost. This powerful feature delivers a multi-year, 10-minute extrapolation of your measurements, seamlessly integrated into any Vortex TIMES run and directly accessible from your interface account. Find more detailed information in the TIMES Remodeling Technical Details and Validation Document.
Vortex TIMES has been thoroughly validated using data from more than 270 sites worldwide, which cover different types of terrains and weather conditions. In this study, we didn’t just look at wind speed; we also checked additional parameters critical for accurate wind resource assessment and the optimization of wind farm design. We’ve summarized our findings in two reports, one shorter and simpler, and the other longer with more technical details.
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Modeled wind resource data for the wind industry.
At any site around the world. Onshore and offshore.