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Mohiuddin is currently engaged in research on energy harvesting. His work is focused on two main areas. The first segment involves enhancing the beam shape of piezoelectric cantilever energy harvesters to optimize their power output. The second segment involves improving the energy output of bladeless wind turbines, with the goal of enhancing their output and working range. To accomplish this, he is working on several sub-projects, including developing cross-sections for cylinders to enhance their aerodynamic properties, designing for maximum power output, and optimizing resonance frequency to expand the working range. Additionally, he is now working on training a machine-learning model with numerical data to enable further optimization.
The figure demonstrates that the high output voltage is only present within a narrow velocity range. To fully leverage the potential of energy harvesting through aeroelastic resonance, it is crucial to expand this velocity range. Researchers worldwide are actively working on ways to improve this range and maximize the benefits of this technology.
Previous research in the literature has shown that systematically integrating passive turbulence control (PTC) methods can significantly enhance both output power and working bandwidth. However, the potential for further improvement by altering the shape and number of PTCs remains unexplored. Moreover, when using PTC devices, high output power is heavily dependent on wind velocity. This challenge can be addressed by incorporating a low-power automated system that adjusts the bluff body’s orientation according to the flow direction.
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