[HTML][HTML] Addressing VAWT Aerodynamic Challenges as the Key to Unlocking Their Potential in the Wind Energy Sector
A Abdolahifar, A Zanj - Energies, 2024 - mdpi.com
While the wind turbine industry has been primarily dominated by horizontal-axis wind
turbines, the forefront of knowledge of these turbines has revealed significant challenges in …
turbines, the forefront of knowledge of these turbines has revealed significant challenges in …
[PDF][PDF] Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC
R Hassanian, A Shahinfar, Á Helgadóttir… - Acta Polytechnica …, 2024 - acta.uni-obuda.hu
This study suggests employing a deep learning model trained on on-site wind speed
measurements to enhance predictions for future wind speeds. The model uses a gated …
measurements to enhance predictions for future wind speeds. The model uses a gated …
A wake loss model asymmetry induced by the circulation of a vertical axis wind turbine
R Hassanian, Á Helgadóttir… - … Conference on Future …, 2023 - ieeexplore.ieee.org
The purpose of this research is to develop a theoretical method for predicting the wake
region downstream of the flow from a top view of a vertical axis wind turbine (VAWT) and to …
region downstream of the flow from a top view of a vertical axis wind turbine (VAWT) and to …