Wind Energy News

Bats depend on open bodies of water such as small ponds and lakes for foraging and drinking. Access to water is particularly important for survival in the increasingly hot and dry summers caused by climate change, the time when female bats are pregnant and rear their young. A scientific team has now shown that access to drinking sites is hampered by wind turbines in agricultural landscapes: Many bat species avoid the turbines and water bodies located close to the turbines for several kilometers.

Bio-inspired wind sensing using strain sensors on flexible wings could revolutionize robotic flight control strategy. Researchers have developed a method to detect wind direction with 99% accuracy using seven strain gauges on the flapping wing and a convolutional neural network model. This breakthrough, inspired by natural strain receptors in birds and insects, opens up new possibilities for improving the control and adaptability of flapping-wing aerial robots in varying wind conditions.

Researchers have demonstrated the high accuracy of their newly developed typhoon observation device that can be dropped from an aircraft into the eye of a typhoon. This kind of device, called a dropsonde, measures storm's atmospheric conditions as it falls from altitude to the ocean surface. The new dropsonde is lightweight and is made mainly of a biodegradable material. It can descend without a parachute unlike conventional dropsondes.

Researchers propose a unique numerical decision-making framework for solar panel protection against extreme weather conditions. The framework combines advanced wind simulations with machine learning to optimize individual solar panel angles under strong winds. Unlike previous methods, this new method treats panels as independent decision-makers and identifies creative, data-driven solutions to reduce stress, significantly outperforming current safeguards.

A new study shows the benefits of coordinating the siting of solar farms, wind farms, and storage systems, taking into account local and temporal variations in wind, sunlight, and energy demand. This approach maximizes the utilization of renewable resources and reduces costs.