A flexible hybrid printed RF energy harvester utilizing catalyst-based copper printing technologies for far-field RF energy harvesting applications

This paper presents the development of two dual-band radio-frequency (RF) harvesters optimized to convert far-field RF energy to DC voltage at very low received power. The first one is based on a patch antenna and the second on a dipole antenna. They are both implemented on a standard FR4 substrate with commercially off-the-shelf devices. The two RF harvesters provide a rectified voltage of 1 V for a combined power, respectively, of −19.5 dBm at 915 MHz, −25 dBm at 2.44 GHz, of −20 dBm at 915 MHz, and −15 dBm at 2.44 GHz. The remote powering of a clock consuming 1 V/5 µA is demonstrated, and the rectenna yields a power efficiency of 12%.

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The C-Band HySIC RF Energy Harvester Based on the Space Information, Communication and Energy Harvesting Technology

2018 IEEE/MTT-S International Microwave Symposium - IMS ◽

10.1109/mwsym.2018.8439367 ◽

2018 ◽

Author(s):

Shigeo Kawasaki ◽

Satoshi Yoshida ◽

Toshihiro Nakaoka ◽

Kenjiro Nishikawa

Keyword(s):

Energy Harvesting ◽

Energy Harvester ◽

Information Communication ◽

Rf Energy ◽

Rf Energy Harvester

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RF Energy Harvesting System for Wireless Sensor Devices: A Review

International Journal of Electrical and Electronics Research ◽

10.37391/ijeer.050101 ◽

2017 ◽

Vol 5 (1) ◽

pp. 1-5

Author(s):

Bharat Mishra ◽

Akhilesh Tiwari ◽

Pankaj Agrawal

Keyword(s):

Energy Harvesting ◽

Energy Harvester ◽

Wireless Sensor ◽

Rf Power ◽

Power Harvesting ◽

Sensor Devices ◽

Energy Harvesting System ◽

Operating Lifetime ◽

Rf Energy ◽

Rf Energy Harvester

In present era several companies and research groups are developing enhanced technologies which help to increase the operating lifetime of battery used in wireless sensor devices. Energy harvesting from ambient radio frequency becomes an attractive and trendy solution for energizing the devices of wireless sensor networks. Abundant availability of RF power from number of cell phone towers, Wi-Fi networks and DTH transmitters ensure that ample amount of power may be harvested from ISM band and after RF to DC conversion used in various low power applications. In this paper a thorough review on existing techniques of various RF power harvesting circuit comprised of different RF to DC converter and matching network with their characteristics and applications is presented. The possibility of harvesting circuit is also explored. Authors also discussed various design issues for developing the RF energy harvester.

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Characterization of Energy Availability in RF Energy Harvesting Networks

Mathematical Problems in Engineering ◽

10.1155/2016/7849175 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9 ◽

Cited By ~ 2

Author(s):

Daniela Oliveira ◽

Rodolfo Oliveira

Keyword(s):

Energy Harvesting ◽

Power Distribution ◽

Energy Harvester ◽

Base Stations ◽

Rf Power ◽

Rf Energy Harvesting ◽

Gamma Distributions ◽

Rf Signals ◽

Spatially Distributed ◽

Rf Energy

The multiple nodes forming a Radio Frequency (RF) Energy Harvesting Network (RF-EHN) have the capability of converting received electromagnetic RF signals in energy that can be used to power a network device (the energy harvester). Traditionally the RF signals are provided by high power transmitters (e.g., base stations) operating in the neighborhood of the harvesters. Admitting that the transmitters are spatially distributed according to a spatial Poisson process, we start by characterizing the distribution of the RF power received by an energy harvester node. Considering Gamma shadowing and Rayleigh fading, we show that the received RF power can be approximated by the sum of multiple Gamma distributions with different scale and shape parameters. Using the distribution of the received RF power, we derive the probability of a node having enough energy to transmit a packet after a given amount of charging time. The RF power distribution and the probability of a harvester having enough energy to transmit a packet are validated through simulation. The numerical results obtained with the proposed analysis are close to the ones obtained through simulation, which confirms the accuracy of the proposed analysis.

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