Innovative Approaches to Harvesting and Storing Renewable Energy from Ambient Sources

^* CSE, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
^† New Prince Shri Bhavani college of Engineering and Technology, Anna University
^‡ Tashkent State Pedagogical University, Uzbekistan
^§ Department of Electronics & Communication engineering Uttaranchal Institute of Technology, Uttaranchal University, Dehradun-248007, Tashkent, India
^** College of technical engineering, The Islamic university, Najaf, Iraq .
⁶ Professor, Dr. D. Y. Patil Institute of Technology, Pimpri, sherje.nitin@gmail.com

^* Corresponding Author:b.umamaheswari_cse@princedrkvasudevan.com
^† santhosh@newprinceshribhavani.com
^‡ u.absoatov@mail.ru
^§ drrajeshsingh004@gmail.com
^** ahmedabbas85@iunajaf.edu.iq

Abstract

This paper reviews innovative methodologies in the realm of renewable energy harvesting and storage from ambient sources. One focal area is the untapped potential of water wave energy, a globally distributed renewable energy source. Current technologies, primarily reliant on electromagnetic generators, face challenges, especially in irregular environments and at low frequencies. However, the advent of the triboelectric nanogenerator (TENG) offers a promising solution, especially for low-frequency water wave motions. TENG technology not only presents a new avenue for large-scale blue energy harvesting but also signifies a shift towards the era of the Internet of Things, where energy is derived from various sources including human motion and vibrations. Another domain delves into the history and evolution of energy harvesting, tracing back to traditional methods like water wheels and windmills. The modern era witnesses a resurgence in interest due to advancements in lowpower electronics, wireless standards, and miniaturization. Lastly, wearable biosensors, poised to redefine personalized healthcare and telemedicine, necessitate innovative power solutions. Wearable energy harvesters, capable of converting ambient energy sources into electricity, are emerging as pivotal components in self-powered wearable sensors, paving the way for real-time health monitoring and human-machine interfaces.