This study explores methods to enhance wind turbine performance in low wind speed
regions, focusing on strategic turbine placement, blade design, aerodynamics, and …

In the field of renewable energy, high-altitude wind energy emerges as a promising source,
particularly at altitudes (> 300 m) where conventional wind turbines cannot reach. Currently …

This study investigates the effects of incorporating baffles in J-type bladed vertical axis wind
turbines. The objectives are to analyze the behavior of vortices and their impact on turbine …

In recent years, the energy crisis has become increasingly severe, and global attention has
shifted towards the development and utilization of wind energy. The establishment of wind …

This study proposes a three-dimensional mode-based surrogate framework to predict the
tornado-like vortex (TLV) derived from the fuzzy neural network and delayed proper …

The current study endeavors to investigate the impact of various operating parameters on
the fluid-structure interaction characteristics of wind turbine blades and wake field …

With the rapid advancement of machine learning technology and its growing adoption in
research and engineering applications, an increasing number of studies have embraced …

With the rapid growth of deep learning technology, the potential for its use in structural
engineering has substantially increased in recent years. This study proposes an innovative …

This study examines the impact of the Drag-Disturbed Flow device on the startup and
operation of HDWT (H-Darrieus wind turbine). The device plays a crucial role in enhancing …

Solar vortex engines (SVE), an emerging renewable energy technology, utilize solar thermal
energy through a concentrated updraft vortex. It has been recognized that updraft vortices …