Providing wind, rain and other meteorological parameters relevant for wind energy
The Meteorology and Remote Sensing group uses meteorology and remote sensing techniques to study wind patterns for wind energy. They use scanning wind lidars and satellite-based methods to understand atmospheric flow, validate models, and improve wind turbine design and placement. Their research targets the lower atmosphere, focusing on turbulence, precipitation, and offshore winds. By extracting wind data from laser based remote sensing devices and satellites, they aim to boost power generation, reduce stress on turbines, and enhance wind farm efficiency.
The groups work has extensive industrial applications in the wind energy sector. Their advanced remote sensing and meteorological insights aid wind farm design, location selection, and operation. They optimize turbine performance, increasing energy output and efficiency. Moreover, their expertise in turbulence and adverse weather conditions helps devise strategies to tackle turbine-related challenges. Overall, their research contributes to wind energy’s progress by optimizing resource use, reducing operational expenses, and promoting renewable energy sustainability.