RF power density measurements for RF energy harvesting in automobile factories

2015 ◽  
Author(s):  
Elijah I. Adegoke ◽  
R. M. Edwards ◽  
Will Whittow ◽  
Axel Bindel
Keyword(s):  
Energy Harvesting ◽  
Power Density ◽  
Rf Power ◽  
Rf Energy Harvesting ◽  
Density Measurements ◽  
Rf Energy

scholarly journals Characterization of Energy Availability in RF Energy Harvesting Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
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.

Enhancing RF-to-DC conversion efficiency of wideband RF energy harvesters using multi-tone optimization technique

2014 ◽  
Vol 8 (2) ◽  
pp. 143-153 ◽  
Author(s):  
Véronique Kuhn ◽  
Fabrice Seguin ◽  
Cyril Lahuec ◽  
Christian Person
Keyword(s):  
Energy Harvesting ◽  
Power Density ◽  
Conversion Efficiency ◽  
Impedance Matching ◽  
Optimization Technique ◽  
Base Station ◽  
Sensor Nodes ◽  
Base Stations ◽  
Rf Energy Harvesting ◽  
Rf Energy

In this paper, a 1.8–2.6 GHz wideband rectenna is designed for radio frequency (RF) energy harvesting in the context of wireless sensor nodes (WSN). To assess the feasibility of ambient RF energy harvesting, the power density from RF base stations is analyzed through statistical measurements. Power density measurements are also performed close to Wi-Fi routers. Using these results, a methodology based on impedance matching network adaptation and maximum power transfer is proposed to design the wideband RF harvester. Using this method, three RF bands,i.e.GSM1800, UMTS and WLAN, are covered. The theoretical analysis is confirmed by simulations and measurements. From measurements results, the prototype RF-to-DC conversion efficiency is 15% at −20 dBm from 1.8 to 2.6 GHz. It is shown that with three RF sources in the chosen bands, each emitting at 10 dBm, the RF-to-DC conversion efficiency is 15% better compared to that measured with a single RF source. Finally, 7 µW is harvested at 50 m from a GSM1800 and UMTS base station. This value confirms the RF harvester workability to supply small sensors.

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