Proof of Concept Thermoelectric Energy Harvester Powering Wireless Sensor on Gas Turbine

2016 ◽  
Author(s):  
E. Köhler ◽  
L.G.H. Staaf ◽  
J. Kemp ◽  
M. Allen ◽  
S. Zenkic ◽  
...  
Keyword(s):  
Gas Turbine ◽  
Energy Harvester ◽  
Wireless Sensor ◽  
Proof Of Concept ◽  
Thermoelectric Energy

scholarly journals Human Body Heat Based Thermoelectric Harvester with Ultra-Low Input Power Management System for Wireless Sensors Powering

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3942 ◽  
Author(s):  
Chengshuo Xia ◽  
Daxing Zhang ◽  
Witold Pedrycz ◽  
Kangqi Fan ◽  
Yongxian Guo
Keyword(s):  
Energy Storage ◽  
Energy Harvesting ◽  
Power Management ◽  
Human Body ◽  
Sensor Node ◽  
Energy Harvester ◽  
Input Voltage ◽  
Wireless Sensor ◽  
Thermoelectric Energy ◽  
Power Management System

Energy harvesting (EH) technique has been proposed as a favorable solution for addressing the power supply exhaustion in a wireless sensor node and prolong the operating time for a wireless sensor network. Thermoelectric energy generator (TEG) is a valuable device converting the waste heat into electricity which can be collected and stored for electronics. In this paper, the thermal energy from human body is captured and converted to the low electrical energy by means of thermoelectric energy harvester. The aim of presented work is utilizing the converted electricity to power the related electronic device and to extend the working life of a sensor node. Considering the related characteristics of TEG used for human, a type of a novel power management system is designed and presented to harvest generated electricity. The proposed circuit is developed based on off-the-shelf commercial chips, LTC3108 and BQ25504. It can accept the lowest input voltage of 20 mV, which is more suitable for human thermoelectric energy harvesting. Through experiments, developed energy harvesting system can effectively power the sensor to intermittently transmit the data as well as perform the converted energy storage. Compared to the independent commercial chips applications and other microcontroller-based energy harvesting systems, the designed thermoelectric energy harvester system presents the advantages not only in high energy storage utilization rate but also the ultra-low input voltage characteristic. Since the heat from human body is harvested, therefore, the system can possibly be used to power the sensor placed on human body and has practical applications such as physiological parameter monitoring.

scholarly journals Software Controlled Low Cost Thermoelectric Energy Harvester for Ultra-Low Power Wireless Sensor Nodes

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 38920-38930 ◽  
Author(s):  
Michal Markiewicz ◽  
Piotr Dziurdzia ◽  
Tomasz Konieczny ◽  
Marek Skomorowski ◽  
Liliana Kowalczyk ◽  
...  
Keyword(s):  
Low Power ◽  
Energy Harvester ◽  
Low Cost ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Ultra Low Power ◽  
Thermoelectric Energy

scholarly journals A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1823
Author(s):  
Mohammad Haidar ◽  
Hussein Chible ◽  
Corrado Boragno ◽  
Daniele D. Caviglia
Keyword(s):  
Low Power ◽  
Power Supply ◽  
Energy Harvester ◽  
Optimization Techniques ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Constant Voltage ◽  
Interface Circuit ◽  
Switching Converter ◽  
Input Signals

Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in low power applications such as internet of things (IoT) and wireless sensor networks (WSN). In this work an interface circuit for a novel fluttering wind energy harvester is presented. The system consists of a switching converter controlled by a low power microcontroller. Optimization techniques on the hardware and software level have been implemented, and a prototype is developed for testing. Experiments have been done with generated input signals resulting in up to 67% efficiency for a constant voltage input. Other experiments were conducted in a wind tunnel that showed a transient output that is compatible with the target applications.

scholarly journals Medium and Short Wave RF Energy Harvester for Powering Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 768 ◽  
Author(s):  
Jesus Leon-Gil ◽  
Agustin Cortes-Loredo ◽  
Angel Fabian-Mijangos ◽  
Javier Martinez-Flores ◽  
Marco Tovar-Padilla ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvester ◽  
Short Wave ◽  
Wireless Sensor ◽  
Rf Energy ◽  
Rf Energy Harvester

Self-powered communicating wireless sensor with flexible aero-piezoelectric energy harvester

2022 ◽  
Vol 184 ◽  
pp. 551-563
Author(s):  
Julien Le Scornec ◽  
Benoit Guiffard ◽  
Raynald Seveno ◽  
Vincent Le Cam ◽  
Stephane Ginestar
Keyword(s):  
Energy Harvester ◽  
Wireless Sensor ◽  
Piezoelectric Energy ◽  
Self Powered

scholarly journals Low-Cost and Energy-Saving Wireless Sensor Network for Real-Time Urban Mobility Monitoring System

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Joyoung Lee ◽  
Zijia Zhong ◽  
Bo Du ◽  
Slobodan Gutesa ◽  
Kitae Kim
Keyword(s):  
Energy Saving ◽  
Fiber Optics ◽  
Monitoring System ◽  
Data Center ◽  
Low Cost ◽  
Wireless Sensor ◽  
Navigation Systems ◽  
Urban Mobility ◽  
Proof Of Concept ◽  
Sensor Unit

This paper presents a low-cost and energy-saving urban mobility monitoring system based on wireless sensor networks (WSNs). The primary components of the proposed sensor unit are a Bluetooth sensor and a Zigbee transceiver. Within the WSN, the Bluetooth sensor captures the MAC addresses of Bluetooth units equipped in mobile devices and car navigation systems. The Zigbee transceiver transmits the collected MAC addresses to a data center without any major communications infrastructures (e.g., fiber optics and 3G/4G network). A total of seven prototype sensor units have been deployed on roadway segments in Newark, New Jersey, for a proof of concept (POC) test. The results of the POC test show that the performance of the proposed sensor unit appears promising, resulting in 2% of data drop rates and an improved Bluetooth capturing rate.

scholarly journals Ultra-Low Frequency Eccentric Pendulum-Based Electromagnetic Vibrational Energy Harvester

Micromachines ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1009
Author(s):  
Mingxue Li ◽  
Huichao Deng ◽  
Yufeng Zhang ◽  
Kexin Li ◽  
Shijie Huang ◽  
...  
Keyword(s):  
Low Power ◽  
Energy Harvester ◽  
Vibrational Energy ◽  
Low Frequency ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Center Frequency ◽  
Vibration Energy ◽  
Outer Side ◽  
Working Frequency

With the development of low-power technology in electronic devices, the wireless sensor network shows great potential in applications in health tracing and ocean monitoring. These scenarios usually contain abundant low-frequency vibration energy, which can be collected through appropriate energy conversion architecture; thus, the common issue of limited battery life in wireless sensor devices could be solved. Traditional energy-converting structures such as the cantilever-beam type or spring-mass type have the problem of high working frequency. In this work, an eccentric pendulum-based electromagnetic vibration energy harvester is designed, analyzed, and verified with the finite element analysis method. The pendulum that contains alternative distributed magnets in the outer side works as a rotor and has the advantages of a simple structure and low center frequency. The structure size is well scalable, and the optimal output performance can be obtained by optimizing the coil thickness and width for a given diameter of the energy harvester. The simulation results show that the energy harvester could work in ultra-low frequencies of 0.2–3.0 Hz. A full-scale prototype of the energy harvester is manufactured and tested. The center working frequency is 2.0 Hz with an average output power of 8.37 mW, which has potential for application in driving low-power wireless sensor nodes.

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