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.

Energy Management Systems for Energy Harvesting in Structural Health Monitoring Applications

2012 ◽  
Vol 518 ◽  
pp. 137-153 ◽  
Author(s):  
M. Arnold ◽  
C.A. Featherston ◽  
Matthew R. Pearson ◽  
J. Lees ◽  
Aleksander Kural
Keyword(s):  
Structural Health Monitoring ◽  
Power Management ◽  
Health Monitoring ◽  
Management System ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Diverse Range ◽  
Power Sources ◽  
Structural Health ◽  
Power Management System

Autonomous structural health monitoring systems with independent power sources and wireless sensor nodes are increasingly seen as the best solution for monitoring a diverse range of machines and structures including pumps, bridges and aircraft. Powering these systems using harvested energy from ambient sources provides an attractive alternative to the use of batteries which may be either inaccessible for routine maintenance or unsuitable (for example in aerospace applications). A number of techniques are currently being considered including harvesting energy from vibration and thermal gradients. Harvesting energy can however lead to a highly variable power supply in opposition to the requirements of a wireless sensor node which requires continuous standby power with an additional capacity for power peaks during transmission of data. A power management system with embedded energy storage is therefore necessary in order to match supply and demand. Due to the low levels of power harvested in a number of applications, an important factor in the design of such a system is its efficiency to ensure sufficient power reaches the sensor node. Based on the requirements for a simple power management system for thermoelectric power harvesting consisting of a rectifier, a DC/DC convertors and a battery, this paper first examines the possibilities in terms of basic components with a number of commercially available units tested and characterised. Potential designs for a management system incorporating these components are then discussed and a blueprint for an optimal system is suggested.

Power management of a wireless sensor node with solar energy harvesting technology

2012 ◽  
Vol 29 (2) ◽  
pp. 76-82 ◽  
Author(s):  
Kah‐Yoong Chan ◽  
Hee‐Joe Phoon ◽  
Chee‐Pun Ooi ◽  
Wai‐Leong Pang ◽  
Sew‐Kin Wong
Keyword(s):  
Energy Harvesting ◽  
Solar Energy ◽  
Power Management ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Solar Energy Harvesting

scholarly journals Wireless Sensor Network with Power Management System for Water Level Regulation in Paddy Fields

2020 ◽  
Vol 9 (7) ◽  
pp. 1243-1246
Keyword(s):  
Water Level ◽  
Power Management ◽  
Sensor Node ◽  
Cluster Head ◽  
Paddy Fields ◽  
Wireless Sensor ◽  
Sink Node ◽  
Head Node ◽  
Power Management System ◽  
Paddy Cultivation

Paddy cultivation is one of the major crops cultivated in India. Normally paddy cultivation is grown twice in a year, where the consumption of water is high during the cultivation. The monitoring of the water level continuously is a little bit tedious to the farmer. However, with the assistance of advanced technology, the burden on the farmer can be reduced. So, in this study, we are proposing the Wireless Sensor Network (WSN) architecturebased water level regulating system. WSN architecture consists of three nodes like sensor node, cluster head node, and sink node. With the assistance of the float sensor and ZigBee wireless communication module, the sensor node which is deployed in the paddy field senses the water level data and communicates to the sink node. The cluster head node monitors the sensor nodes of the cluster of paddy fields and controls the actuator concerning the water level. Sink node is generally located nearby farmer location, with the assistance of sink node the farmer observer the status of water level in their paddy fields in the LCD display. This system enhances in maintaining the optimal level of water and also reduces the burden on the farmer for continuous monitoring. Especially the sensor node follows the power management system, where the power interruption is avoided.

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