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Historical Wind Data

Wind & Site

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Vortex web-based portfolio has been designed to cost-effectively help you answer some key questions

Wind Farm Development

Vortex provides modelled wind resource data for each stage of the wind farm development process, from prospecting to operation.

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Your one-stop wind farm development solution for accurate assessments, featuring long-term, high-resolution historical wind data and modeled wind resource data tailored to your location.

Probably the most measurement-like set of modeled wind resource data and high-resolution wind time series currently available on the market. 1 full year, 10′ averages, 3” standard deviation.

Valuable data on extreme wind events and modeled wind resource data that may affect wind farm development, design, cost, and lifetime, with the possibility of enhancing the model results through a specific calibration.

Once you have enough local measurements at your potential wind farm site, it is time for the serious decisions: MCP for long-term extrapolation of historical wind data and modeled wind resource data is one of them.

All you need for wind farm development, design, and turbine class selection: long-term, high-resolution historical wind data, modeled wind resource data, temperature, mean wind, extreme wind (Vref), and turbulence maps.

Thanks to Vortex’s exclusive WAsP Wind Atlas export feature, MAPS can be refined to any resolution, making them an all-in-one tool for wind farm development and prospecting, leveraging historical wind data and modeled wind resource data.

Vortex Mast has been designed to help you in the important decision of placing a real met mast for wind farm development, leveraging historical wind data and modeled wind resource data for optimal site planning.

Valuable data on extreme wind events that may affect wind farm development, design, cost, and lifetime, with the possibility of enhancing the model results through a specific calibration.

Vortex Icing will be of invaluable help when designing wind farms in cold climates, leveraging historical wind data and modeled wind resource data to avoid production losses due to ice accretion on blades.

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