Affiliation:
1. College of Engineering Guindy, Anna University, India
Abstract
As the world is on rapid progression, energy production and consumption are perpetual in our daily existence. Since batteries have contributed to progress, it is critical to address the ecological sustainable development issues associated with their manufacturing, consumption, and disposal. By leveraging easily available sources and lowering demand for non-renewable energy, energy harvesting devices contribute to a more sustainable and resilient energy ecology. There are various methods to generate energy, but over the years triboelectric nanogenerators have emerged as new energy harvesting technique. In this work, Contact-Separation mode TriboElectric Energy Harvester (CS-TENG) is designed by using COMSOL MULTIPHYSICS software and geometric parameter of TENG is optimized using genetic algorithm (GA) and cuttlefish algorithm (CFA). CS-TENG's performance in output is analyzed and compared to both unoptimized and optimized TENG. In comparison to others, the cuttle fish algorithm-based CS-TENG produces the highest output power of 2653 µW.