12,421 resources related to Energy Harvesting
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2021 IEEE Photovoltaic Specialists Conference (PVSC)
Photovoltaic materials, devices, systems and related science and technology
ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics
2020 IEEE Energy Conversion Congress and Exposition (ECCE)
IEEE-ECCE 2020 brings together practicing engineers, researchers, entrepreneurs and other professionals for interactive and multi-disciplinary discussions on the latest advances in energy conversion technologies. The Conference provides a unique platform for promoting your organization.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
2016 IEEE SENSORS, 2016
We describe energy harvesting from power cords using flexible magnetoelectric (ME) laminate. ME laminate consisted of Metglas magnetostrictive layer and polyvinylidene fluoride (PVDF) piezoelectric layers in sandwich configuration. Laminates of different lengths were wrapped around the power cords in two ways: on the outer layer of cord and on the inner layer of the cord obtained by peeling-off the outer ...
The 8th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013
This study reports the novel arc-based cantilevers for reducing the natural frequency of MEMS cantilever beams without the addition of tip/point mass. The results show an increased potential for energy extraction from naturally occurring vibration sources. An analytical model was used to model the effective mechanical properties of multilayered MEMS cantilevers while the natural frequencies were obtained by applying a ...
2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition, 2009
This study presents a permanent magnetic linear generator based system for ocean wave energy harvesting applications. The use of linear generator as energy converter enables a direct coupling of the motion of the buoy to the energy harvesting system. Mathematical model governing the system is presented; frequency domain analysis reveals that conversion rate varies with respect to load resistance. Detailed ...
IEEE Sensors Journal, 2017
Intensive research on energy harvesting powered wireless sensor nodes (WSNs) has been driven by the needs of reducing the power consumption by the WSNs and increasing the power generated by energy harvesters. The mismatch between the energy generated by the harvesters and the energy demanded by the WSNs is always a bottleneck as the ambient environmental energy is limited and ...
2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2017
Advances in renewable energy harvesting technologies have initiated great possibilities in wireless sensor networks with energy harvesting nodes. Network lifetime now depends not only on the residual energy of the nodes but also on their energy harvesting rates. Mobility of data sink has added a new dimension to data collection techniques as well. This paper focuses on lifetime maximization of ...
NEREID: Smart Sensors, Smart Energy & Energy Harvesting - David Holden at INC 2019
IEEE Magnetics Distinguished Lecture - Alison B. Flatau
WPT: From µW/cm² Harvesting to kW Capacitive Vehicle Powering - Zoya Popovic, APEC 2018
Nanotechnology For Electrical Engineers
A 200um x 200um x 100um, 63nW, 2.4GHz Injectable Fully-Monolithic Wireless BioSensing System: RFIC Industry Showcase 2017
IEEE Green Energy Summit 2015: Program Overview
IEEE Green Energy Summit 2015: Closing Remarks
ECCE Plenary: Paul Hamilton, part 2
IFEC 2011-Interview with Jason Lai at International Future Energy Challenge 2011
What is Bluetooth Low Energy?
Wanda Reder - Energy and Powering the Planet (2017 VIC Summit)
APEC 2011-Energy Efficiency and Renewable Energy Adoptions
ECCE Plenary: Paul Hamilton, part 1
International Future Energy Challenge (IFEC): A New Challenge Awaits
ECCE Plenary Session Question and Answer
ECCE Plenary: Pedro Ray, part 2
International Future Energy Challenge 2018
Highly Dynamic, Energy-Aware, Biomimetic Robots
IFEC 2011-Interview with Chris Mi at International Future Energy Challenge 2011
We describe energy harvesting from power cords using flexible magnetoelectric (ME) laminate. ME laminate consisted of Metglas magnetostrictive layer and polyvinylidene fluoride (PVDF) piezoelectric layers in sandwich configuration. Laminates of different lengths were wrapped around the power cords in two ways: on the outer layer of cord and on the inner layer of the cord obtained by peeling-off the outer layer. It was found that the laminate provided ~16mV higher output voltage when wrapped around the inner layer of cord. An output voltage of 303mV was obtained from flexible energy harvester with 267mm in length wrapped around the inner layer of power cord.
This study reports the novel arc-based cantilevers for reducing the natural frequency of MEMS cantilever beams without the addition of tip/point mass. The results show an increased potential for energy extraction from naturally occurring vibration sources. An analytical model was used to model the effective mechanical properties of multilayered MEMS cantilevers while the natural frequencies were obtained by applying a finite element code. Results were obtained for two geometries of arc-based cantilevers as well as their linear counterparts. These results demonstrate that arc-based cantilevers vibrate at frequencies significantly lower than their linear components (up to 40% reduction in natural frequency).
This study presents a permanent magnetic linear generator based system for ocean wave energy harvesting applications. The use of linear generator as energy converter enables a direct coupling of the motion of the buoy to the energy harvesting system. Mathematical model governing the system is presented; frequency domain analysis reveals that conversion rate varies with respect to load resistance. Detailed numerical results including average power, system efficiency are obtained using MATLABreg, Simulinkreg, SimPower- Systemsreg. The optimum load value is found based on the fully physics simulation of the system. To this end, current control application to the boost converter is presented. Presented results show that the controller successfully regulates the current. The proposed system is designed to operate with the optimum load value.
Intensive research on energy harvesting powered wireless sensor nodes (WSNs) has been driven by the needs of reducing the power consumption by the WSNs and increasing the power generated by energy harvesters. The mismatch between the energy generated by the harvesters and the energy demanded by the WSNs is always a bottleneck as the ambient environmental energy is limited and time varying. This paper introduces a combined energy-aware interface with an energy-aware program to deal with the mismatch through managing the energy flow from the energy storage capacitor to the WSNs. These two energy-aware approaches were implemented in a custom developed vibration energy harvesting powered WSN. The experimental results show that, with the 3.2-mW power generated by a piezoelectric energy harvester under an emulated aircraft wing strain loading of 600 με at 10 Hz, the combined energy-aware approaches enable the WSN to have a significantly reduced sleep current from 28.3 μA of a commercial WSN to 0.95 μA and enable the WSN operations for a long active time of about 1.15 s in every 7.79 s to sample and transmit a large number of data (388 B), rather than a few ten milliseconds and a few bytes, as demanded by vibration measurement. When the approach was not used, the same amount of energy harvested was not able to power the WSN to start, not mentioning to enabling the WSN operation, which highlighted the importance and the value of the energy-aware approaches in enabling energy harvesting powered WSN operation successfully.
Advances in renewable energy harvesting technologies have initiated great possibilities in wireless sensor networks with energy harvesting nodes. Network lifetime now depends not only on the residual energy of the nodes but also on their energy harvesting rates. Mobility of data sink has added a new dimension to data collection techniques as well. This paper focuses on lifetime maximization of EHWSNs using an anchor selection algorithm which is regulated by an energy harvesting-aware weighted average function. The algorithm yields a set of EH-sensor nodes as anchors and a mobile data collector collects data from these anchors. The results of experiments show that our anchor selection algorithm out performs traditional lifetime maximization algorithms.
RF energy harvesting holds a promisinge future for generating a small amount of electrical power to drive partial circuits in wirelessly communicating electronics devices. This paper presents an energy harvesting system based on LTC3108, which can effectively collect the surrounding WiFi energy. Two rectifier circuit, the Villard cascade circuit and the Greinacher circuit, were analyzed. In this paper, the Schottky diode HSMS-2852 was used to form the RF-DC rectifier circuit When the input voltage of the LTC3108 power management circuit is higher than 30mV, the output of the power management circuit can achieve at 3.29V.
This paper presents an unconventional flat-type linear permanent magnetic generator based energy harvesting system which employs a cascaded boost-buck two-stage converter, with a maximum power control algorithm optimized for low frequency human horizontal foot motion, for Li-Ion battery charging. The dynamic model of the linear generator is built and the analytical equations for maximum power generation of non-resonant applications like human foot motion are derived. A double-sided stator linear machine with moving permanent magnet and soft magnetic spacer is designed. The Finite Element Analysis (FEA) is carried out on the designed geometric model to estimate the real-time voltage of energy harvester. A cascaded boost-buck converter with appropriate control is proposed to abstract maximum power from the linear generator and charge the Li-Ion battery with constant current at the same time. Under the typical human horizontal foot motion velocity of 4.5 m/s, the proposed energy harvester with the designed power conditioning circuit has power density as high as 8.5 mW/cm<sup>3</sup>.
This paper proposes a hybrid offshore wind and tidal energy conversion system. In this study, dynamic model and control schemes of this hybrid system are presented. Gearless generators are designed to achieve direct-drive application. A Permanent Magnet Synchronous Generator (PMSG) model is established in the dq-synchronous rotating frame, and Maximum Power Point Tracking (MPPT) is realized through controlling the speed of the generators using PWM controlled rectifiers. In order to verify the presented control strategy and to study the interaction between wind and tidal energy conversion systems, MATLAB/Simulink<sup>®</sup> simulations have been conducted. The results prove the potential feasibility of the proposed system topology.
In cluster-based energy-harvesting wireless sensor networks (EH-WSNs), clustering schemes have been studied for prolonging the network lifetime. The EHGAF has been proposed to achieve this objective, however, this conventional scheme results in non-uniform residual power between cluster heads (CHs), leading to short network lifetime, under the conditions with geographical non- uniform energy-harvesting rate. To overcome the problem with the EHGAF, this paper proposes a clustering control scheme, which consists of adaptive cluster size control and adaptive backoff window control. The simulation results show that the proposed scheme extends the network lifetime compared with the conventional one.
Energy and Environment, both are the main concern for every researcher allover the world. Alternative energy sources that are environmental friendly became the challenge to satisfy world needs. Oil and Gas are no more the main source of Energy, consequently the demand of an everlasting cheap source of energy that is environmental friendly, is the main goal recently. During the last decade, power consumption has decreased opening the field for energy harvesting to become a real time solution for providing different sources of electrical power. Energy Harvesting is a new technology that is going to make a revolution in the coming decade. Energy Harvesting is a technique to provide alternative sources of energy that are environmental friendly and low in cost. Future applications need wireless devices to operate for longer durations away from centralized power sources or the amount of power that can be supplied to these wireless devices to be increased. Currently, many technologies have been developed that attempt to overcome the limitations imposed on wireless devices. Radio Frequency Energy Harvesting is one of these types of energy harvesting that is able to convert Radio Frequency waves from ambient air to electrical energy. This paper presents a model for harvesting radio frequency energy waves. The presented model is directed towards different applications and targeting mainly Radio Frequency Identification (RFID) applications, where it works on frequencies in the range of 2.1 - 2.45 GHz. The recommended model faces size and efficiency problems presenting a very small radio frequency energy-harvesting model that can be implemented easily inside Radio Frequency Identification (RFID) applications. A final model for Radio Frequency Energy Harvesting is proposed based on different types of simulations and experiments.
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