scholarly journals Energy Allocation for LoRaWAN Nodes with Multi-Source Energy Harvesting

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2874
Author(s):  
Philip-Dylan Gleonec ◽  
Jeremy Ardouin ◽  
Matthieu Gautier ◽  
Olivier Berder
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Management System ◽  
Experimental Validation ◽  
Energy Allocation ◽  
Energy Sources ◽  
Hardware Platform ◽  
Power Management System ◽  
Optimal Energy Allocation

Many connected devices are expected to be deployed during the next few years. Energy harvesting appears to be a good solution to power these devices but is not a reliable power source due to the time-varying nature of most energy sources. It is possible to harvest energy from multiple energy sources to tackle this problem, thus increasing the amount and the consistency of harvested energy. Additionally, a power management system can be implemented to compute how much energy can be consumed and to allocate this energy to multiple tasks, thus adapting the device quality of service to its energy capabilities. The goal is to maximize the amount of measured and transmitted data while avoiding power failures as much as possible. For this purpose, an industrial sensor node platform was extended with a multi-source energy-harvesting circuit and programmed with a novel energy-allocation system for multi-task devices. In this paper, a multi-source energy-harvesting LoRaWAN node is proposed and optimal energy allocation is proposed when the node runs different sensing tasks. The presented hardware platform was built with off-the-shelf components, and the proposed power management system was implemented on this platform. An experimental validation on a real LoRaWAN network shows that a gain of 51% transmitted messages and 62% executed sensing tasks can be achieved with the multi-source energy-harvesting and power-management system, compared to a single-source system.

scholarly journals A 30mV input battery-less power management system

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Jim Hui Yap ◽  
Yan Chiew Wong
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Management System ◽  
Closed Loop ◽  
Low Voltage ◽  
Cmos Process ◽  
Area Network ◽  
Significant Finding ◽  
Thermoelectric Energy Harvesting ◽  
Power Management System

This paper presents a fully-integrated on chip battery-less power management system through energy harvesting circuit developed in a 130nm CMOS process. A 30mV input voltage from a TEG is able to be boosted by the proposed Complementary Metal-Oxide-Semiconductor (CMOS) voltage booster and a dynamic closed loop power management to a regulated 1.2V. Waste body heat is harvested through Thermoelectric energy harvesting to power up low power devices such as Wireless Body Area Network. A significant finding where 1 Degree Celsius thermal difference produces a minimum 30mV is able to be boosted to 1.2V. Discontinuous Conduction Mode (DCM) digital control oscillator is the key component for the gate control of the proposed voltage booster. Radio Frequency (RF) rectifier is utilized to act as a start-up mechanism for voltage booster and power up the low voltage closed loop power management circuit. The digitally control oscillator and comparator are able to operate at low voltage 600mV which are powered up by a RF rectifier, and thus to kick-start the voltage booster.

A Power Management System for Thermoelectric Generators Used on Spindle Units of Machine Tools

2013 ◽  
Vol 365-366 ◽  
pp. 955-958
Author(s):  
Qing Hui Zeng ◽  
Sheng Li ◽  
Xin Hua Yao ◽  
Jian Zhong Fu
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Machine Tools ◽  
Management System ◽  
Experimental Result ◽  
Thermoelectric Generators ◽  
Thermoelectric Generation ◽  
Promising Alternative ◽  
Thermoelectric Energy Harvesting ◽  
Power Management System

Thermoelectric energy harvesting is emerging as a promising alternative energy source for drive wireless sensors in mechanical structure monitoring. Typically, the waste heat from spindle units of machine tools creates obvious potential for thermoelectric generation. However, the problem of power gap between the power level needed by wireless sensor and what thermoelectric generators (TEGs) can provide is likely to arise in the application of thermoelectric generation. Therefore, a power management system (PMS) is needed to accumulate TEG energy first and then drive the load intermittently. This study proposes a power management system to enhance the energy harvesting and usage efficiency using three capacitors. A rotating spindle platform is set up to test the PMS, and the experimental result shows that the proposed PMS worked well when the spindle speed is 3000 rpm.

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