The Application of Piezoelectric Energy Harvesting Technology in Intelligent Building

2013 ◽  
Vol 361-363 ◽  
pp. 263-266
Author(s):  
Bin Guan
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Power Supply ◽  
Energy Harvester ◽  
The Internet ◽  
Piezoelectric Energy Harvesting ◽  
Intelligent Building ◽  
Piezoelectric Energy ◽  
The Internet Of Things ◽  
Module Topology

The power supply of large number of sensors in the Internet of Things is the bottleneck technology of intelligent building. Piezoelectric energy harvesting is introduced as it is a perfect way to solve the problem. The vibration energies in intelligent building are analyzed and concluded with two important common characters. The five difficulties for the application of piezoelectric energy harvesting technology in intelligent building are introduced and solved. The module topology of energy harvester for sensor net in intelligent building application is presented.

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.

Performance Analysis of Piezoelectric Energy Harvesting in Pavement: Laboratory Testing and Field Simulation

2019 ◽  
Vol 2673 (3) ◽  
pp. 115-124 ◽  
Author(s):  
Abbas F. Jasim ◽  
Hao Wang ◽  
Greg Yesner ◽  
Ahmad Safari ◽  
Pat Szary
Keyword(s):  
Energy Harvesting ◽  
Power Output ◽  
Laboratory Testing ◽  
Energy Harvester ◽  
Total Power ◽  
Piezoelectric Energy Harvesting ◽  
Loading Frequency ◽  
Vehicle Speed ◽  
Piezoelectric Energy ◽  
Energy Harvesting System

This study investigated the energy harvesting performance of a piezoelectric module in asphalt pavements through laboratory testing and multi-physics based simulation. The energy harvester module was assembled with layers of Bridge transducers and tested in the laboratory. A decoupled approach was used to study the interaction between the energy harvester and the surrounding pavement. The effects of embedment location, vehicle speed, and temperature on energy harvesting performance were investigated. The analysis findings indicate that the embedment location and vehicle speed affects the resulted power output of the piezoelectric energy harvesting system. The embedment depth of the energy module affects both the magnitude and frequency of stress pulse on top of the energy module induced by tire loading. On the other hand, higher vehicle speed causes greater loading frequency and thus greater power output; the effect of pavement temperature is negligible. The analysis of total power output before reaching fatigue failure of the energy module can be used to determine the optimum embedment location in the asphalt layer. The proposed energy harvesting system provides great potential to generate green energy from waste kinetic energy in roadway pavements. Field study is recommended to verify these findings with long-term performance monitoring of pavement with embedded energy harvesters.

Design architectures for energy harvesting in the Internet of Things

2020 ◽  
Vol 128 ◽  
pp. 109901 ◽  
Author(s):  
Sherali Zeadally ◽  
Faisal Karim Shaikh ◽  
Anum Talpur ◽  
Quan Z. Sheng
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things

On Mathematical Modeling of Piezoelectric Energy Harvesters

2014 ◽  
Vol 953-954 ◽  
pp. 655-658 ◽  
Author(s):  
Guang Qing Shang ◽  
Hong Bing Wang ◽  
Chun Hua Sun
Keyword(s):  
Mathematical Modeling ◽  
Energy Harvesting ◽  
Energy Harvester ◽  
Vibration Energy ◽  
Piezoelectric Energy Harvesting ◽  
Vibration Energy Harvester ◽  
Energy Harvesters ◽  
Piezoelectric Energy ◽  
Energy Harvesting System ◽  
Piezoelectric Vibration

Energy harvesting system has become one of important areas of ​​research and develops rapidly. How to improve the performance of the piezoelectric vibration energy harvester is a key issue in engineering applications. There are many literature on piezoelectric energy harvesting. The paper places focus on summarizing these literature of mathematical modeling of piezoelectric energy harvesting, ranging from the linear to nonlinear, from early a single mechanical degree to piezoaeroelastic problems.

scholarly journals A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 407 ◽  
Author(s):  
Omar A. Saraereh ◽  
Amer Alsaraira ◽  
Imran Khan ◽  
Bong Jun Choi
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Thermal Energy ◽  
The Internet ◽  
Healthcare Applications ◽  
Hybrid Energy ◽  
Iot Devices ◽  
Hybrid Energy Harvesting ◽  
Monitoring Devices ◽  
The Internet Of Things

The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

scholarly journals Advances and Opportunities in Passive Wake-Up Radios with Wireless Energy Harvesting for the Internet of Things Applications

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3078 ◽  
Author(s):  
Hilal Bello ◽  
Zeng Xiaoping ◽  
Rosdiadee Nordin ◽  
Jian Xin
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
The Internet ◽  
Practical Implementation ◽  
Media Access Control ◽  
Rf Energy Harvesting ◽  
Harvesting Technique ◽  
Idle Listening ◽  
Rf Energy ◽  
The Internet Of Things

Wake-up radio is a promising approach to mitigate the problem of idle listening, which incurs additional power consumption for the Internet of Things (IoT) wireless transmission. Radio frequency (RF) energy harvesting technique allows the wake-up radio to remain in a deep sleep and only become active after receiving an external RF signal to ‘wake-up’ the radio, thus eliminating necessary hardware and signal processing to perform idle listening, resulting in higher energy efficiency. This review paper focuses on cross-layer; physical and media access control (PHY and MAC) approaches on passive wake-up radio based on the previous works from the literature. First, an explanation of the circuit design and system architecture of the passive wake-up radios is presented. Afterward, the previous works on RF energy harvesting techniques and the existing passive wake-up radio hardware architectures available in the literature are surveyed and classified. An evaluation of the various MAC protocols utilized for the novel passive wake-up radio technologies is presented. Finally, the paper highlights the potential research opportunities and practical challenges related to the practical implementation of wake-up technology for future IoT applications.

scholarly journals A High-Performance Coniform Helmholtz Resonator-Based Triboelectric Nanogenerator for Acoustic Energy Harvesting

Nanomaterials ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3431
Author(s):  
Haichao Yuan ◽  
Hongyong Yu ◽  
Xiangyu Liu ◽  
Hongfa Zhao ◽  
Yiping Zhang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
High Performance ◽  
Helmholtz Resonator ◽  
Acoustic Energy ◽  
The Internet ◽  
Triboelectric Nanogenerator ◽  
Sensor Devices ◽  
Acoustic Energy Harvesting ◽  
The Internet Of Things

Harvesting acoustic energy in the environment and converting it into electricity can provide essential ideas for self-powering the widely distributed sensor devices in the age of the Internet of Things. In this study, we propose a low-cost, easily fabricated and high-performance coniform Helmholtz resonator-based Triboelectric Nanogenerator (CHR-TENG) with the purpose of acoustic energy harvesting. Output performances of the CHR-TENG with varied geometrical sizes were systematically investigated under different acoustic energy conditions. Remarkably, the CHR-TENG could achieve a 58.2% higher power density per unit of sound pressure of acoustic energy harvesting compared with the ever-reported best result. In addition, the reported CHR-TENG was demonstrated by charging a 1000 μF capacitor up to 3 V in 165 s, powering a sensor for continuous temperature and humidity monitoring and lighting up as many as five 0.5 W commercial LED bulbs for acoustic energy harvesting. With a collection features of high output performance, lightweight, wide frequency response band and environmental friendliness, the cleverly designed CHR-TENG represents a practicable acoustic energy harvesting approach for powering sensor devices in the age of the Internet of Things.

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