Development of Wear-Resistant Energy Harvesting Devices and Self-Powered Systems Based on Bionic Design

2020 ◽  
Vol 97 (6) ◽  
pp. 55-61
Author(s):  
Ming-Zheng Huang ◽  
Zong-Hong Lin
2021 ◽  
Vol 12 ◽  
pp. 151-171
Author(s):  
Jing Han ◽  
Nuo Xu ◽  
Yuchen Liang ◽  
Mei Ding ◽  
Junyi Zhai ◽  
...  

The development of industry and of the Internet of Things (IoTs) have brought energy issues and huge challenges to the environment. The emergence of triboelectric nanogenerators (TENGs) has attracted wide attention due to their advantages, such as self-powering, lightweight, and facile fabrication. Similarly to paper and other fiber-based materials, which are biocompatible, biodegradable, environmentally friendly, and are everywhere in daily life, paper-based TENGs (P-TENGs) have shown great potential for various energy harvesting and interactive applications. Here, a detailed summary of P-TENGs with two-dimensional patterns and three-dimensional structures is reported. P-TENGs have the potential to be used in many practical applications, including self-powered sensing devices, human–machine interaction, electrochemistry, and highly efficient energy harvesting devices. This leads to a simple yet effective way for the next generation of energy devices and paper electronics.


Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 764 ◽  
Author(s):  
Jaehyun Park ◽  
Ganapati Bhat ◽  
Anish NK ◽  
Cemil S. Geyik ◽  
Umit Y. Ogras ◽  
...  

Wearable internet of things (IoT) devices can enable a variety of biomedical applications, such as gesture recognition, health monitoring, and human activity tracking. Size and weight constraints limit the battery capacity, which leads to frequent charging requirements and user dissatisfaction. Minimizing the energy consumption not only alleviates this problem, but also paves the way for self-powered devices that operate on harvested energy. This paper considers an energy-optimal gesture recognition application that runs on energy-harvesting devices. We first formulate an optimization problem for maximizing the number of recognized gestures when energy budget and accuracy constraints are given. Next, we derive an analytical energy model from the power consumption measurements using a wearable IoT device prototype. Then, we prove that maximizing the number of recognized gestures is equivalent to minimizing the duration of gesture recognition. Finally, we utilize this result to construct an optimization technique that maximizes the number of gestures recognized under the energy budget constraints while satisfying the recognition accuracy requirements. Our extensive evaluations demonstrate that the proposed analytical model is valid for wearable IoT applications, and the optimization approach increases the number of recognized gestures by up to 2.4× compared to a manual optimization.


Research ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Feng Ru Fan ◽  
Wenzhuo Wu

Two-dimensional (2-D) materials of atomic thickness have attracted considerable interest due to their excellent electrical, optoelectronic, mechanical, and thermal properties, which make them attractive for electronic devices, sensors, and energy systems. Scavenging the otherwise wasted energy from the ambient environment into electrical power holds promise to address the emerging energy needs, in particular for the portable and wearable devices. The versatile properties of 2-D materials together with their atomically thin body create diverse possibilities for the conversion of ambient energy. The present review focuses on the recent key advances in emerging energy-harvesting devices based on monolayer 2-D materials through various mechanisms such as photovoltaic, thermoelectric, piezoelectric, triboelectric, and hydrovoltaic devices, as well as progress for harvesting the osmotic pressure and Wi-Fi wireless energy. The representative achievements regarding the monolayer heterostructures and hybrid devices are also discussed. Finally, we provide a discussion of the challenges and opportunities for 2-D monolayer material-based energy-harvesting devices in the development of self-powered electronics and wearable technologies.


2021 ◽  
Vol 30 (9) ◽  
pp. 11-15
Author(s):  
Yoon-Hwae HWANG

Energy harvesting is the process by which energy can be obtained from external sources and used for wearable electronics and wireless sensor networks. Piezoelectric nanogenerators are energy harvesting devices that convert mechanical energy into electric energy by using nanostructured materials. This article summarizes work to date on piezoelectric nanogenerators, starting with the basic theory of piezo- and flexo-electricity and moving through reports on nanogenerators using nanostructures, flexible substrates and alternative materials. A sufficient power generated from nanogenerators suggests feasible applications for either power sources or strain sensors of highly integrated nanodevices. Further improvements in nanogenerators holds promise for the development of self-powered implantable and wearable electronics.


Author(s):  
V. Kulkarni ◽  
R. Ben-Mrad ◽  
S. Eswar Prasad

Energy harvesting devices are growing in popularity for their ability to capture the ambient energy surrounding a system and convert it into usable electrical energy. With an increasing demand for portable electronics and wireless sensors in a number of sectors, energy harvesting has the potential to create self-powered sensor systems operating in inaccessible locations. This paper discusses a torsion based piezoelectric energy harvester that utilizes superior shear mode piezoelectric properties to harvest energy from vibrations. Mathematical expressions are used to determine optimized geometry configurations for the harvester. Using these expressions, a harvester design is presented for use with wireless sensor networks.


2010 ◽  
Vol 2 (2) ◽  
pp. 80-92
Author(s):  
Rupesh Patel ◽  
Atanas A. Popov ◽  
Stewart McWilliam

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