Numerical Assessment and Parametric Optimization of a Piezoelectric Wind Energy Harvester for IoT-Based Applications

In the 21st century, researchers have been showing keen interest in areas of wireless networking and internet things (IoT) devices. Conventionally, batteries used to power these networks; however, due limited lifespan with recent advancements piezoelectric technology, there is a dramatic increase renewable energy harvesting this research, an eco-friendly wind device based on technique analytically modeled, numerically simulated, statistically optimized for low applications. MATLAB toolbox SIMSCAPE utilized simulate proposed harvester which windmill produce rotational motion kinetic wind. The windmill’s shaft further connected rotary linear converter (RLC) vibration enhancement mechanism (VEM) generation translational mechanical vibration. Consequently, alternative vibrations, stack produces sufficient electrical output. output response analyzed various conditions thickness, speed, rotor angular velocity, VEM stiffness. It observed that proportional cube speed inversely number blades. Furthermore, optimization strategy full factorial design experiment developed implemented MINITAB 18.0 evaluating statistical performance harvester. noticed 3 rotor-blades, having mm 40 Nm?1 stiffness generates optimum