Wind Power

Researchers from the University of Science and Technology of China, including Yu Tu, Kai Zhang, Zhaolong Han, Dai Zhou, and Onur Bilgen, have conducted a study to better understand how yaw control can improve the efficiency of wind farms. Their work,

Researchers Takafumi Nishino and William Hunter, affiliated with the University of Strathclyde, have developed a new theoretical method aimed at optimizing the design of wind turbine rotors for very large wind farms. Their work, published in the Jour

Researchers M. Paul van der Laan and Mahdi Abkar from the Delft University of Technology in the Netherlands have published a study in the Journal of Physics: Conference Series that explores the potential benefits of multi-rotor (MR) wind turbines for

Researchers from the University of Oldenburg’s ForWind Center for Wind Energy Research have uncovered new insights into the behavior of wind farm wakes, which could have practical implications for wind farm design and efficiency.

The team, led by Ga

In the quest for cleaner and more sustainable energy solutions, ammonia (NH3) has emerged as a promising zero-carbon fuel for power generation and transportation. Researchers Hernando Maldonado Colmán and Michael E. Mueller from the University of Cal

Researchers from the University of Stuttgart, including Adrian Kummerländer, Shota Ito, Maximilian Schecher, Davide Dapelo, Stephan Simonis, Mathias J. Krause, and Fedor Bukreev, have developed a new computational approach to simulate the complex dyn

Researchers from the University of Science and Technology of China, led by Bowen Du and Qi Li, have developed a new method to improve the accuracy of wind farm simulations in mesoscale weather models. Their work, published in the journal Renewable En

Researchers from Imperial College London, including Andrew Mole, Max Weissenbacher, Georgios Rigas, and Sylvain Laizet, have developed a new approach to optimize wind farm power production using reinforcement learning (RL). Their work, published in t

Researchers Takafumi Nishino and Amanda S. M. Smyth from the University of Cambridge have delved into the complex world of wind farm aerodynamics to better understand power loss mechanisms in large wind farms. Their work, published in the Journal of

Researchers from the University of Rennes 1 and the University of Twente have published a study in the Journal of Fluid Mechanics that sheds light on how wind farm design and airflow dynamics influence noise generation and propagation. The team, led