scholarly journals Paper-based triboelectric nanogenerators and their applications: a review

2021 ◽  
Vol 12 ◽  
pp. 151-171
Author(s):  
Jing Han ◽  
Nuo Xu ◽  
Yuchen Liang ◽  
Mei Ding ◽  
Junyi Zhai ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Three Dimensional ◽  
Human Machine Interaction ◽  
Practical Applications ◽  
Energy Devices ◽  
Paper Electronics ◽  
Facile Fabrication ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Energy Harvesting Devices

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.

scholarly journals Recent Developments and Prospects of M13- Bacteriophage Based Piezoelectric Energy Harvesting Devices

Nanomaterials ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 93 ◽  
Author(s):  
In Woo Park ◽  
Kyung Won Kim ◽  
Yunhwa Hong ◽  
Hyun Ji Yoon ◽  
Yonghun Lee ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
High Performance ◽  
Hierarchical Structures ◽  
Practical Applications ◽  
Energy Devices ◽  
Piezoelectric Energy ◽  
Wide Range ◽  
Recent Developments ◽  
Energy Harvesting Devices ◽  
Powerful Strategy

Recently, biocompatible energy harvesting devices have received a great deal of attention for biomedical applications. Among various biomaterials, viruses are expected to be very promising biomaterials for the fabrication of functional devices due to their unique characteristics. While other natural biomaterials have limitations in mass-production, low piezoelectric properties, and surface modification, M13 bacteriophages (phages), which is one type of virus, are likely to overcome these issues with their mass-amplification, self-assembled structure, and genetic modification. Based on these advantages, many researchers have started to develop virus-based energy harvesting devices exhibiting superior properties to previous biomaterial-based devices. To enhance the power of these devices, researchers have tried to modify the surface properties of M13 phages, form biomimetic hierarchical structures, control the dipole alignments, and more. These methods for fabricating virus-based energy harvesting devices can form a powerful strategy to develop high-performance biocompatible energy devices for a wide range of practical applications in the future. In this review, we discuss all these issues in detail.

Open-book-like triboelectric nanogenerators based on low-frequency roll–swing oscillators for wave energy harvesting

Nanoscale ◽  
2019 ◽  
Vol 11 (15) ◽  
pp. 7199-7208 ◽  
Author(s):  
Wei Zhong ◽  
Liang Xu ◽  
Xiaodan Yang ◽  
Wei Tang ◽  
Jiajia Shao ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Wave Energy ◽  
Low Frequency ◽  
Open Book ◽  
Marine Systems ◽  
Highly Effective ◽  
Self Powered ◽  
Triboelectric Nanogenerators ◽  
Effective Wave

Open-book-like triboelectric nanogenerators enable highly effective wave energy harvesting with enhanced power and charge output for self-powered marine systems.

scholarly journals A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring

2016 ◽  
Vol 2 (6) ◽  
pp. e1501624 ◽  
Author(s):  
Fang Yi ◽  
Xiaofeng Wang ◽  
Simiao Niu ◽  
Shengming Li ◽  
Yajiang Yin ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Three Dimensional ◽  
Power Source ◽  
Triboelectric Nanogenerator ◽  
Stretchable Electronics ◽  
Large Area ◽  
Conductive Liquid ◽  
Power Sources ◽  
Energy Harvesters ◽  
Self Powered

The rapid growth of deformable and stretchable electronics calls for a deformable and stretchable power source. We report a scalable approach for energy harvesters and self-powered sensors that can be highly deformable and stretchable. With conductive liquid contained in a polymer cover, a shape-adaptive triboelectric nanogenerator (saTENG) unit can effectively harvest energy in various working modes. The saTENG can maintain its performance under a strain of as large as 300%. The saTENG is so flexible that it can be conformed to any three-dimensional and curvilinear surface. We demonstrate applications of the saTENG as a wearable power source and self-powered sensor to monitor biomechanical motion. A bracelet-like saTENG worn on the wrist can light up more than 80 light-emitting diodes. Owing to the highly scalable manufacturing process, the saTENG can be easily applied for large-area energy harvesting. In addition, the saTENG can be extended to extract energy from mechanical motion using flowing water as the electrode. This approach provides a new prospect for deformable and stretchable power sources, as well as self-powered sensors, and has potential applications in various areas such as robotics, biomechanics, physiology, kinesiology, and entertainment.

scholarly journals Fabric-Based Triboelectric Nanogenerators

Research ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Jinmei Liu ◽  
Long Gu ◽  
Nuanyang Cui ◽  
Qi Xu ◽  
Yong Qin ◽  
...  
Keyword(s):  
High Performance ◽  
Material Synthesis ◽  
Power Sources ◽  
Practical Applications ◽  
Energy Harvesters ◽  
Portable Electronics ◽  
The Past ◽  
Triboelectric Nanogenerators ◽  
Energy Harvesting Devices ◽  
Further Development

In the past decades, the progress of wearable and portable electronics is quite rapid, but the power supply has been a great challenge for their practical applications. Wearable power sources, especially wearable energy-harvesting devices, provide some possible solutions for this challenge. Among various wearable energy harvesters, the high-performance fabric-based triboelectric nanogenerators (TENGs) are particularly significant. In this review paper, we first introduce the fundamentals of TENGs and their four basic working modes. Then, we will discuss the material synthesis, device design, and fabrication of fabric-based TENGs. Finally, we try to give some problems that need to be solved for the further development of TENGs.

scholarly journals Triboelectric Nanogenerators for Energy Harvesting in Ocean: A Review on Application and Hybridization

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5600
Author(s):  
Ali Matin Matin Nazar ◽  
King-James Idala Idala Egbe ◽  
Azam Abdollahi ◽  
Mohammad Amin Hariri-Ardebili
Keyword(s):  
Energy Harvesting ◽  
Mechanical Energy ◽  
Ocean Waves ◽  
Energy Resources ◽  
Advantages And Disadvantages ◽  
Natural Energy ◽  
Electromagnetic Generators ◽  
Triboelectric Nanogenerators ◽  
High Level ◽  
Energy Harvesting Devices

With recent advancements in technology, energy storage for gadgets and sensors has become a challenging task. Among several alternatives, the triboelectric nanogenerators (TENG) have been recognized as one of the most reliable methods to cure conventional battery innovation’s inadequacies. A TENG transfers mechanical energy from the surrounding environment into power. Natural energy resources can empower TENGs to create a clean and conveyed energy network, which can finally facilitate the development of different remote gadgets. In this review paper, TENGs targeting various environmental energy resources are systematically summarized. First, a brief introduction is given to the ocean waves’ principles, as well as the conventional energy harvesting devices. Next, different TENG systems are discussed in details. Furthermore, hybridization of TENGs with other energy innovations such as solar cells, electromagnetic generators, piezoelectric nanogenerators and magnetic intensity are investigated as an efficient technique to improve their performance. Advantages and disadvantages of different TENG structures are explored. A high level overview is provided on the connection of TENGs with structural health monitoring, artificial intelligence and the path forward.

scholarly journals Energy per Operation Optimization for Energy-Harvesting Wearable IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 764 ◽  
Author(s):  
Jaehyun Park ◽  
Ganapati Bhat ◽  
Anish NK ◽  
Cemil S. Geyik ◽  
Umit Y. Ogras ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Gesture Recognition ◽  
Energy Budget ◽  
Optimization Technique ◽  
Optimization Approach ◽  
Activity Tracking ◽  
Battery Capacity ◽  
Self Powered ◽  
Iot Devices ◽  
Energy Harvesting Devices

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.

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