Energy harvesting techniques: Energy sources, power management and conversion

2015 ◽  
Author(s):  
Philex Ming-Yan Fan ◽  
Oi-Ying Wong ◽  
Ming-Jie Chung ◽  
Tze-Yun Su ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Power Management ◽  
Energy Sources ◽  
Harvesting Techniques

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 Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3433 ◽  
Author(s):  
Giacomo Peruzzi ◽  
Alessandro Pozzebon
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Power Management ◽  
Low Cost ◽  
Wide Area ◽  
Wide Area Networks ◽  
Transmission Range ◽  
Survey Paper ◽  
System Requirements ◽  
Harvesting Techniques

The emergence of Internet of Things (IoT) architectures and applications has been the driver for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this context, a crucial role is being played by the so-called Low Power Wide Area Networks (LPWANs), a bunch of transmission technologies developed to satisfy three main system requirements: low cost, wide transmission range, and low power consumption. This last requirement is especially crucial as IoT infrastructures should operate for long periods on limited quantities of energy: to cope with this limitation, energy harvesting is being applied every day more frequently, and several different techniques are being tested for LPWAN systems. The aim of this survey paper is to provide a detailed overview of the the existing LPWAN systems relying on energy harvesting for their powering. In this context, the different LPWAN technologies and protocols will be discussed and, for each technology, the applied energy harvesting techniques will be described as well as the architecture of the power management units when present.

Hybrid dual-function thermal energy harvesting & storage technologies: towards self-chargeable flexible/wearable devices

2021 ◽  
Author(s):  
Joana S Teixeira ◽  
Rui S Costa ◽  
Ana Pires ◽  
Andre M Pereira ◽  
Clara Pereira
Keyword(s):  
Climate Change ◽  
Energy Harvesting ◽  
Thermal Energy ◽  
Wearable Devices ◽  
Energy Sources ◽  
Dual Function ◽  
Global Awareness ◽  
Thermal Energy Harvesting ◽  
Mitigate Climate Change ◽  
Storage Technologies

The worldwide energy scarcity arising from the massive consumption of nonrenewable energy sources raised a global awareness on the need for cleaner and affordable energy solutions to mitigate climate change...

scholarly journals Electrical power management and optimization with nonlinear energy harvesting structures

2018 ◽  
Vol 30 (2) ◽  
pp. 213-227 ◽  
Author(s):  
Wen Cai ◽  
Ryan L Harne
Keyword(s):  
Energy Harvesting ◽  
Nonlinear Vibration ◽  
Power Management ◽  
Partial Information ◽  
Electrical Power ◽  
System Level ◽  
Vibration Energy ◽  
Amplitude Dependence ◽  
Harvesting Systems ◽  
Nonlinear Energy

In recent years, great advances in understanding the opportunities for nonlinear vibration energy harvesting systems have been achieved giving attention to either the structural or electrical subsystems. Yet, a notable disconnect appears in the knowledge on optimal means to integrate nonlinear energy harvesting structures with effective nonlinear rectifying and power management circuits for practical applications. Motivated to fill this knowledge gap, this research employs impedance principles to investigate power optimization strategies for a nonlinear vibration energy harvester interfaced with a bridge rectifier and a buck-boost converter. The frequency and amplitude dependence of the internal impedance of the harvester structure challenges the conventional impedance matching concepts. Instead, a system-level optimization strategy is established and validated through simulations and experiments. Through careful studies, the means to optimize the electrical power with partial information of the electrical load is revealed and verified in comparison to the full analysis. These results suggest that future study and implementation of optimal nonlinear energy harvesting systems may find effective guidance through power flow concepts built on linear theories despite the presence of nonlinearities in structures and circuits.

scholarly journals Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5874 ◽  
Author(s):  
Marcelo Miranda Camboim ◽  
Juan Moises Maurício Villanueva ◽  
Cleonilson Protasio de Souza
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Renewable Energy Sources ◽  
Setting Time ◽  
Pi Controller ◽  
Step Response ◽  
Energy Sources ◽  
Thermal Source ◽  
Proportional Integral ◽  
Thermal Pattern

In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID.

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