UrbanWind.energy

Urban wind energy data

Urban wind energy data are generated using detailed and accurate Computational Fluid Dynamics simulations of wind flow in cities, based on meteorological data from the last 30 years, enhanced using machine learning techniques and analysed using automatic optimization algorithms.

When suitable wind conditions exist, wind turbines can provide reliable and cost-effective clean energy for buildings in cities. They can be an ideal complement to solar panels, as they perform better when solar panels don’t: in the evening and in winter, when solar radiation is lower and wind is stronger. Therefore, a combination of solar and wind can also reduce the need for energy storage and use of the grid.