Published Paper Details:

The demand for sustainable, self-sufficient power sources for Internet of Things (IoT) and wireless sensor networks saw a dramatic escalation over the previous decade. Harnessing energy from ambient vibrations and utilizing it for powering low-power electronics in environments where traditional sources of power prove impractical is becoming increasingly enticing. In this article, there is a documented case of a hybrid piezoelectric-electromagnetic energy harvester whose potential includes generating power from vibrations of low frequencies. The system integrates piezoelectric and electromagnetic mechanisms to effectively scavenge energy from diverse vibrational sources, such as industrial machinery, human motion, and ambient vibrations. The system employed in the suggested mechanism employs a double-resonance method, in which piezoelectric and electromagnetic components are set to resonate at different frequencies so as to allow efficient energy harvesting. An adaptive resonance tuning mechanism integrated allows reception of many vibrational frequencies for optimal energy efficiency during real-world application environments. Furthermore, the system utilizes nonlinear damping techniques to allow maximum energy harvesting of oscillating vibrations to improve the performance in non-ideal environments. For power storage and management, the system features batteries and supercapacitors and a smart energy management unit that maximizes power supply to IoT devices. The design further focuses on utilizing environment-friendly materials like nanomaterials and biodegradable polymers in order to render the harvester green. This hybrid energy harvester has the potential to be utilized in solving the problems of low-frequency vibration harvesting in IoT, with a stable, sustainable power supply for remote and miniaturized devices. The efficiency and flexibility of the system for energy harvesting over a broad band of vibrational frequencies make it an attractive choice for powering wearable technology and Internet of Things networks of the future.