scholarly journals Possibilities and Challenges of Radio Frequency Energy Harvesting in Dar es Salaam, Tanzania

2020 ◽  
Vol 39 (2) ◽  
pp. 92-103
Author(s):  
Fredrick Isingo ◽  
Prosper Mafole ◽  
Abdi Abdalla

This paper presents investigation on the possibilities and challenges of harvesting ambient Radio Frequency Energy (RFE) at Dar es Salaam region in Tanzania. The Radio Frequency (RF) signals were measured using a Rohde and Schwarz FSC 3 spectrum analyzer observing available frequencies with their respective power. Among several RF signals received, the most powerful signals observed were; 800 MHz, 950 MHz, 2100 MHz and 2400 MHz, having average signal strengths of about -30.29 dBm, -35.94 dBm, -42.90 dBm and -30.42 dBm respectively. The power possessed within these frequencies were suitable to be harvested due to their signal strengths, an overall power average of -34.89dBm was obtained and a multi narrowband harvester was designed and simulated using real-time values on Keysight’s Advanced Design System (ADS) 2019. The simulation results confirm a promising possibility of harvesting RF energy to power ultra-low-power devices in the Internet of Things (IoT) and beyond.

2019 ◽  
Vol 28 (03) ◽  
pp. 1950048 ◽  
Author(s):  
Mohamed Mokhlès Mnif ◽  
Hassene Mnif ◽  
Mourad Loulou

The energy-harvesting radio frequency (RF) can be an attractive alternative energy capable of replacing all or some of the board batteries. The RF waves are present in several high frequencies ([Formula: see text] GHz) and at low power (a few [Formula: see text]W). An energy-harvesting circuit designed must provide 1[Formula: see text]V voltage at minimum that is able to operate an actuator or a sensor. The RF-DC rectifier is the main component of an energy-harvesting circuit. This paper presents a new design RF-DC rectifier circuit using the MOSFET transistors, the capacitors and the inductors. Our proposed circuit is a combination of an Inductor–Capacitor–Inductor–Capacitor (LCLC) serie-parallel resonant tank (SPRT) and rectifier cascade using the Dynamic threshold Voltage Cancellation (DVC) and the technique of the Internal threshold Voltage Cancellation (IVC). Our proposed circuit operates in dual frequencies [Formula: see text][Formula: see text]GHz and [Formula: see text][Formula: see text]GHz with a low input power [Formula: see text][Formula: see text][Formula: see text]W ([Formula: see text][Formula: see text]dbm) and [Formula: see text][Formula: see text][Formula: see text]W ([Formula: see text][Formula: see text]dbm), respectively. This circuit gives a Power Conversion Efficiency (PCE) of 56.9% and an output voltage [Formula: see text][Formula: see text]V for the frequency 2.543[Formula: see text]GHz and a PCE of 62.6% and an output voltage [Formula: see text][Formula: see text]V for the frequency 4[Formula: see text]GHz. The pre-layout simulations were performed using the Advanced Design System (ADS) and the technology used is CMOS 0.18[Formula: see text][Formula: see text]m from TSMC. The simulations were performed on the proposed circuit composed by three stages.


2019 ◽  
Vol 8 (3) ◽  
pp. 2155-2158

In this paper a single fed microstrip patch ultra-wideband rectenna for harvesting ambient radio frequency energy is presented. The rectenna comprises of a rectangular shaped radiating patch operating at L band frequencies. The rectifier circuit is placed in the same plane of radiating patch to minimize the overall rectenna profile. The rectenna is modelled and are fabricated on low loss roger dielectric substrate. Measured results shows that the rectenna attains a maximum gain of 5 dB in the operating L band with maximum RF conversion efficiency of 81%. The rectenna designed is appropriate for harvesting wireless RF signals operating in L band.


IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 9758-9763 ◽  
Author(s):  
Atef Ibrahim ◽  
Turki F. Al-Somani ◽  
Fayez Gebali

2021 ◽  
Vol 2136 (1) ◽  
pp. 012026
Author(s):  
Xinzhe Li ◽  
Ming Ren ◽  
Haoyang Tian

Abstract To solve the energy supply problem of distributed sensor nodes for power equipment condition monitoring, the radio frequency energy acquisition technology scheme and low power consumption control method suitable for this type of sensor are studied. In the research of radio frequency energy technology, a high-gain radio frequency receiving unit is designed to convert a specific frequency high-frequency spatial electromagnetic wave into a AC small signal, and a radio frequency-voltage doubler rectifier unit is designed to convert the AC small signal into a DC signal and boost it, a supporting energy management unit is designed to control the energy interaction with the back-end sensor and provide a reliable and stable DC voltage to the partial discharge sensor. In terms of low-power control, the hardware adopts frequency-reduction detection and low-power devices, and the software proposes a work mode switching strategy, forming an ultra-low power design and application scheme for partial discharge sensors.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 438 ◽  
Author(s):  
Muhammad Tahir ◽  
Borja Ramis Ferrer ◽  
Jose Martinez Lastra

The manufacturing industry requests novel solutions that will permit enterprises to stay competitive in the market. This leads to decisions being made based on different technologies that are focused on real-time accurate measurement and monitoring of manufacturing assets. In the context of traceability, radio frequency identification (RFID) tags have been traditionally used for tracking, monitoring, and collecting data of various manufacturing resources operating along the value chain. RFID tags and microelectromechanical systems (MEMS) sensors enable the monitoring of manufacturing assets by providing real-time data. Such devices are usually powered by batteries that need regular maintenance, which in turn leads to delays that affect the overall manufacturing process time. This article presents a low-cost approach to detect and measure radio frequency (RF) signals in assembly lines for optimizing the manufacturing operations in the manufacturing industry. Through the detection and measurement of RF signals, the RF energy can be harvested at certain locations on the assembly line. Then, the harvested energy can be supplied to the MEMS sensors, minimizing the regular maintenance for checking and replacing batteries. This leads to an increase in the operational efficiency and an overall reduction in operational and maintenance costs.


2012 ◽  
Author(s):  
H. Hada ◽  
T. Sakamoto ◽  
M. Tada ◽  
N. Banno ◽  
M. Miyamura ◽  
...  

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