Researchers from the California Institute of Technology and Siemens Gamesa Renewable Energy have published a study in Nature Energy that explores how atmospheric conditions can influence the power production of utility-scale wind turbines when they a
Caltech & Siemens Gamesa Unveil Atmospheric Impact on Wind Turbine Wake Steering Read More »
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,
Yaw Control Boosts Wind Farm Efficiency, Study Reveals” (60 characters) Read More »
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
Strathclyde Researchers Tailor Wind Turbine Rotors for Peak Farm Performance Read More »
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
Multi-Rotor Wind Turbines: A Breath of Fresh Air for Energy Efficiency Read More »
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
Unlocking Wind Farm Efficiency: Coriolis Force & Wake Behavior Read More »
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
UC San Diego Researchers Revolutionize Ammonia Combustion for Clean Energy Read More »
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
Stuttgart Team Revolutionizes Wind Turbine Simulations with Novel CFD Approach Read More »
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
Chinese Researchers Boost Wind Farm Simulation Accuracy with Multi-Column Method Read More »
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
Reinforcement Learning Boosts Wind Farm Efficiency by 4.30% Read More »
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
Cambridge Researchers Unveil Wind Farm Power Loss Breakthrough Read More »
