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Vortex TIMES is a comprehensive wind dataset that offers a long-term, high-resolution 10-minute time series specific to a particular location. This advanced wind dataset includes a range of meteorological variables relevant for wind resource assessment and wind farm development, including wind standard deviation. TIMES spans up to 30 years, covering heights from 10 to 440 meters above ground level,making it an ideal wind resource dataset for both onshore and offshore projects.
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 wind dataset is then augmented by a shorter high-resolution microscale Large Eddy Simulation (LES) simulation. The LES simulation enhances the accuracy of wind resource data distribution, turbulence intensity, and sub-hourly variability, resulting in a more reliable high-resolution wind dataset.
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 historical wind data, 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 development and design.This extensive validation demonstrates the reliability of the wind dataset across diverse geographical and climatic conditions.
Vortex TIMES combines long-term, high-resolution 10-minute time series with advanced modeling techniques to provide a reliable foundation for wind farm development. By integrating historical wind data with modeled wind resource data, these multiyear datasets allow for robust assessment of site variability, energy yield projections, and turbulence interactions. This comprehensive approach ensures actionable insights for both preliminary site evaluation and detailed design, supporting informed decisions across onshore and offshore projects.
Vortex TIMES delivers a robust and reliable wind resource dataset that allows engineers and developers to gain actionable insights for wind farm development. By combining advanced modeling techniques with long-term historical wind data, TIMES enables informed decisions on energy yield optimization, microscale site assessment, and the evaluation of complex atmospheric interactions, providing a strong foundation for both onshore and offshore projects.
Beyond resource assessment, Vortex TIMES also supports operational and strategic decision-making throughout the lifetime of a wind farm. Developers and operators can use the dataset to evaluate seasonal production variability, assess extreme wind events, optimize turbine operation strategies, and better understand long-term atmospheric trends. This makes TIMES not only a development tool, but also a valuable asset for asset management and operational performance optimization.
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The Vortex TIMES wind dataset is designed for wind resource assessment, long-term energy yield analysis, turbulence studies, and wind farm optimization for both onshore and offshore projects.
The Vortex TIMES wind dataset provides up to 30 years of high-resolution 10-minute meteorological and wind resource data for any location worldwide.
Yes. The Vortex TIMES wind dataset can integrate mast, LiDAR, and SCADA measurements at no additional cost to improve simulation accuracy and reduce project uncertainty.
The Vortex TIMES wind dataset combines WRF mesoscale modeling with LES microscale simulations, delivering highly detailed turbulence, wind variability, and atmospheric stability information tailored to each specific project location.
Unlike standard reanalysis datasets, the Vortex TIMES wind dataset combines long-term WRF mesoscale simulations with high-resolution Large Eddy Simulation (LES) modeling. This approach improves the representation of turbulence, sub-hourly variability, and local wind flow characteristics, providing a more accurate dataset for wind resource assessment, energy yield analysis, and wind farm design.
Yes. Every Vortex TIMES wind dataset can be calibrated using customer-provided measurement data at no additional cost. This process improves the agreement between modeled and observed conditions, creating a long-term historical wind dataset that reflects site-specific characteristics while preserving multiyear climate variability.
The Vortex TIMES wind dataset includes wind speed, wind direction, wind standard deviation, temperature, air density, pressure, relative humidity, Richardson number, inverse Monin-Obukhov length, vertical wind speed, and gust information. Data is available at multiple heights from 10 m to 440 m above ground level, supporting detailed analyses of shear, veer, turbulence, and atmospheric stability.
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Modeled wind resource data for the wind industry.
At any site around the world. Onshore and offshore.
