scholarly journals An ultra-low-voltage self-powered energy harvesting rectifier with digital switch control

2015 ◽  
Vol 12 (3) ◽  
pp. 20140921-20140921 ◽  
Author(s):  
Yani Li ◽  
Zhangming Zhu ◽  
Yintang Yang ◽  
Chaolin Zhang
Keyword(s):  
Energy Harvesting ◽  
Low Voltage ◽  
Switch Control ◽  
Self Powered

Ultra-Low Power, Low Voltage, Self-Powered Resonant DC–DC Converter for Energy Harvesting

2013 ◽  
Vol 9 (1) ◽  
pp. 103-117 ◽  
Author(s):  
Salah-Eddine Adami ◽  
Nicolas Degrenne ◽  
Walid Haboubi ◽  
Hakim Takhedmit ◽  
Denis Labrousse ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Low Voltage ◽  
Ultra Low Power ◽  
Self Powered

Enhancement of Digital Self-Powered Energy-Harvesting for 2DOF Mixed-Mode Vibrations

2015 ◽  
Author(s):  
Yuta Yamamoto ◽  
Kanjuro Makihara ◽  
Kenji Yoshimizu
Keyword(s):  
Energy Harvesting ◽  
Control Method ◽  
The Self ◽  
Power Sources ◽  
Switch Control ◽  
Control Scheme ◽  
Experimental Apparatus ◽  
Harvesting Method ◽  
Self Powered ◽  
Digital Processor

The digital self-powered energy harvesting method that we propose is a switching-type vibration energy harvesting method that has a circuit that is functionally integrated with a digital processor. The main feature of the proposed harvester is that the digital processor is driven by energy harvested from vibration. Therefore, other electrical power sources, such as batteries, are not required to power it. The self-powered digital processor automatically changes the states of the harvester circuit using a switching control method. The switching is synchronized with the vibration phase, which is conducive to the effective conversion of vibrational energy. The proposed harvester is programmable and easily implements different types of control schemes based on its various parameters. This study has two objectives regarding the digital self-powered harvesting method. The first objective is to evaluate the power generation performance of the self-powered harvester for multimodal vibrations. Several experiments employing an experimental apparatus with two degrees of freedom (2DOF) are conducted. The second objective is to apply a new switch control scheme to our proposed harvesting method. The scheme is designed for moderate energy harvesting: it intentionally pauses the harvesting action so as to increase the amount of energy generated later. This method is different from the former method of switch control. We confirm the usability of the new control scheme in a digital self-powered system.

scholarly journals Electrode and electrolyte configurations for low frequency motion energy harvesting based on reverse electrowetting

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pashupati R. Adhikari ◽  
Nishat T. Tasneem ◽  
Russell C. Reid ◽  
Ifana Mahbub
Keyword(s):  
Energy Harvesting ◽  
Bias Voltage ◽  
Energy Harvester ◽  
Superior Performance ◽  
Maximum Output ◽  
Electrowetting On Dielectric ◽  
External Bias ◽  
Motion Energy ◽  
Ac Current ◽  
Self Powered

AbstractIncreasing demand for self-powered wearable sensors has spurred an urgent need to develop energy harvesting systems that can reliably and sufficiently power these devices. Within the last decade, reverse electrowetting-on-dielectric (REWOD)-based mechanical motion energy harvesting has been developed, where an electrolyte is modulated (repeatedly squeezed) between two dissimilar electrodes under an externally applied mechanical force to generate an AC current. In this work, we explored various combinations of electrolyte concentrations, dielectrics, and dielectric thicknesses to generate maximum output power employing REWOD energy harvester. With the objective of implementing a fully self-powered wearable sensor, a “zero applied-bias-voltage” approach was adopted. Three different concentrations of sodium chloride aqueous solutions (NaCl-0.1 M, NaCl-0.5 M, and NaCl-1.0 M) were used as electrolytes. Likewise, electrodes were fabricated with three different dielectric thicknesses (100 nm, 150 nm, and 200 nm) of Al2O3 and SiO2 with an additional layer of CYTOP for surface hydrophobicity. The REWOD energy harvester and its electrode–electrolyte layers were modeled using lumped components that include a resistor, a capacitor, and a current source representing the harvester. Without using any external bias voltage, AC current generation with a power density of 53.3 nW/cm2 was demonstrated at an external excitation frequency of 3 Hz with an optimal external load. The experimental results were analytically verified using the derived theoretical model. Superior performance of the harvester in terms of the figure-of-merit comparing previously reported works is demonstrated. The novelty of this work lies in the combination of an analytical modeling method and experimental validation that together can be used to increase the REWOD harvested power extensively without requiring any external bias voltage.

scholarly journals Time-Multiplexed Self-Powered Wireless Current Sensor for Power Transmission Lines

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1561
Author(s):  
Hao Chen ◽  
Zhongnan Qian ◽  
Chengyin Liu ◽  
Jiande Wu ◽  
Wuhua Li ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Transmission Line ◽  
Transmission Lines ◽  
Power Transmission ◽  
Current Measurement ◽  
Current Sensor ◽  
Power Transmission Line ◽  
Power Transmission Lines ◽  
Current Sensing ◽  
Self Powered

Current measurement is a key part of the monitoring system for power transmission lines. Compared with the conventional current sensor, the distributed, self-powered and contactless current sensor has great advantages of safety and reliability. By integrating the current sensing function and the energy harvesting function of current transformer (CT), a time-multiplexed self-powered wireless sensor that can measure the power transmission line current is presented in this paper. Two operating modes of CT, including current sensing mode and energy harvesting mode, are analyzed in detail. Through the design of mode-switching circuit, harvesting circuit and measurement circuit are isolated using only one CT secondary coil, which eliminates the interference between energy harvesting and current measurement. Thus, the accurate measurement in the current sensing mode and the maximum energy collection in the energy harvesting mode are both realized, all of which simplify the online power transmission line monitoring. The designed time-multiplexed working mode allows the sensor to work at a lower transmission line current, at the expense of a lower working frequency. Finally, the proposed sensor is verified by experiments.

Triboelectric Nanogenerator using Multiferroic Materials: An Approach for Energy Harvesting and Self-Powered Magnetic Field Detection

Nano Energy ◽  
2021 ◽  
pp. 105964
Author(s):  
Sugato Hajra ◽  
Venkateswaran Vivekananthan ◽  
Manisha Sahu ◽  
Gaurav Khandelwal ◽  
Nirmal Prashanth Maria Joseph Raj ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Energy Harvesting ◽  
Triboelectric Nanogenerator ◽  
Multiferroic Materials ◽  
Field Detection ◽  
Self Powered

scholarly journals Piezoelectric Impact Energy Harvester Based on the Composite Spherical Particle Chain for Self-Powered Sensors

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3151
Author(s):  
Shuo Yang ◽  
Bin Wu ◽  
Xiucheng Liu ◽  
Mingzhi Li ◽  
Heying Wang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Spherical Particle ◽  
Impact Energy ◽  
Energy Harvester ◽  
Composite Particle ◽  
Piezoelectric Energy Harvesting ◽  
Particle Chain ◽  
Piezoelectric Energy ◽  
Self Powered ◽  
Particle Chains

In this study, a novel piezoelectric energy harvester (PEH) based on the array composite spherical particle chain was constructed and explored in detail through simulation and experimental verification. The power test of the PEH based on array composite particle chains in the self-powered system was realized. Firstly, the model of PEH based on the composite spherical particle chain was constructed to theoretically realize the collection, transformation, and storage of impact energy, and the advantages of a composite particle chain in the field of piezoelectric energy harvesting were verified. Secondly, an experimental system was established to test the performance of the PEH, including the stability of the system under a continuous impact load, the power adjustment under different resistances, and the influence of the number of particle chains on the energy harvesting efficiency. Finally, a self-powered supply system was established with the PEH composed of three composite particle chains to realize the power supply of the microelectronic components. This paper presents a method of collecting impact energy based on particle chain structure, and lays an experimental foundation for the application of a composite particle chain in the field of piezoelectric energy harvesting.

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

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