Transfer matrix modeling of a tensioned piezo-solar hybrid energy harvesting ribbon

2015 ◽  
Author(s):  
Punnag Chatterjee ◽  
Matthew Bryant
Keyword(s):  
Energy Harvesting ◽  
Transfer Matrix ◽  
Hybrid Energy ◽  
Matrix Modeling ◽  
Hybrid Energy Harvesting

scholarly journals Internet of Hybrid Energy Harvesting Things

2018 ◽  
Vol 5 (2) ◽  
pp. 736-746 ◽  
Author(s):  
Ozgur B. Akan ◽  
Oktay Cetinkaya ◽  
Caglar Koca ◽  
Mustafa Ozger
Keyword(s):  
Energy Harvesting ◽  
Hybrid Energy ◽  
Hybrid Energy Harvesting

scholarly journals A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 407 ◽  
Author(s):  
Omar A. Saraereh ◽  
Amer Alsaraira ◽  
Imran Khan ◽  
Bong Jun Choi
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Thermal Energy ◽  
The Internet ◽  
Healthcare Applications ◽  
Hybrid Energy ◽  
Iot Devices ◽  
Hybrid Energy Harvesting ◽  
Monitoring Devices ◽  
The Internet Of Things

The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

Instantaneous peak 2.1 W-level hybrid energy harvesting from human motions for self-charging battery-powered electronics

Nano Energy ◽  
2021 ◽  
Vol 81 ◽  
pp. 105629
Author(s):  
Zhongjie Li ◽  
Jun Luo ◽  
Shaorong Xie ◽  
Liming Xin ◽  
Hengyu Guo ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Hybrid Energy ◽  
Hybrid Energy Harvesting ◽  
Human Motions
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