Inductive wireless power transfer (WPT) system uses alternating magnetic field to transmit power from the transmitter to the receiver. To confine the magnetic field, WPT coils are realized with high permeability subst...
详细信息
This paper investigates the application of machine learning techniques for fault localization in photovoltaic (PV) systems. The research focuses on accurately identifying the location of faults within series-parallel ...
详细信息
This work in progress innovative practice paper describes the plans of a semiconductor experience tailored to underclassmen engineering students. The Georgia Tech Semi-conductor Experience (GTSE) is an upcoming progra...
详细信息
ISBN:
(纸本)9798350351507
This work in progress innovative practice paper describes the plans of a semiconductor experience tailored to underclassmen engineering students. The Georgia Tech Semi-conductor Experience (GTSE) is an upcoming program that is to provide a first-year experience that inspires pursuit of a career in semiconductor technology. Initially acting as a project that may be chosen and completed during a freshmen electrical and computerengineering course, GTSE will provide an opportunity for underclassmen to acquire a glimpse into the fabrication, modeling, and visualization of semiconductor-related devices. Fabrication consists of processes needed to fabricate a silicon solar cell. The fabrication process has been developed to maximize student safety, maximize student throughput each semester, and minimize the processing complexity. Processes requiring experience will be done under the guidance of a teacher assistant or instructor. After fabrication, the solar cells will be tested to determine their I/V characteristics and efficiency. The data can then be used to help students understand the complexity that a non-ideal world can introduce in a relatively simple device. The outcome of the semiconductor fabrication process is simulated using Silvaco Athena, and modeling of the solar cell device's electrical and physical properties is accomplished using Synopsys TCAD. Visualization of semiconductor device operation and atomic-level charge carrier operation is realized using custom software packages. To aid in the advancement of GTSE, under-classmen were asked to participate in guided research, modeling, or equipment setup and programming. Discussions about various aspects of silicon solar cell fabrication planning and modeling gave some qualitative insight into how well students will engage in the knowledge laid out for them. At the end of GTSE, students will have learned about various classical and quantum mechanics of the solar cell and understand the fabrication decisions. T
The world is facing a dramatic increase in the need for electricity and needs to battle the ever-increasing carbon dioxide emissions. New, more efficient, wide bandgap power electronics devices are developed to enable...
详细信息
In recent years, due to the world population growth, the demand for agricultural products has also increased. Global crises such as climate change, destruction of water resources, pollution and destruction of aquatic ...
详细信息
Modeling and controlling complex spatiotemporal dynamical systems driven by partial differential equations (PDEs) often necessitate dimensionality reduction techniques to construct lower-order models for computational...
详细信息
Simultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication,holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices whil...
详细信息
Simultaneous lightwave information and power transfer (SLIPT), co-existing with optical wireless communication,holds an enormous potential to provide continuous charging to remote Internet of Things (IoT) devices while ensuringconnectivity. Combining SLIPT with an omnidirectional receiver, we can leverage a higher power budget whilemaintaining a stable connection, a major challenge for optical wireless communication systems. Here, we design amultiplexed SLIPT-based system comprising an array of photodetectors (PDs) arranged in a 3 × 3 configuration. Thesystem enables decoding information from multiple light beams while simultaneously harvesting energy. The PDs canswiftly switch between photoconductive and photovoltaic modes to maximize information transfer rates and provideon-demand energy harvesting. Additionally, we investigated the ability to decode information and harvest energywith a particular quadrant set of PDs from the array, allowing beam tracking and spatial diversity. The design wasexplored in a smaller version for higher data rates and a bigger one for higher power harvesting. We report a selfpoweringdevice that can achieve a gross data rate of 25.7 Mbps from a single-input single-output (SISO) and an 85.2Mbps net data rate in a multiple-input multiple-output (MIMO) configuration. Under a standard AMT1.5 illumination,the device can harvest up to 87.33 mW, around twice the power needed to maintain the entire system. Our workpaves the way for deploying autonomous IoT devices in harsh environments and their potential use in spaceapplications.
To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltai...
详细信息
To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried *** has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the *** standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight *** proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PSO),and salp swarm algorithm(SSA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub ***,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning.
This paper presents measurements of the reflection and transmission coefficient of electromagnetic waves through concrete and two concrete-based composites: concrete with steel fibers and concrete with carbon fibers w...
详细信息
This study takes on the challenge of growing urban waste and presents a ground-breaking waste management approach. By merging Robotics and Artificial Intelligence (AI) with traditional Dirty Materials Recovery Facilit...
详细信息
暂无评论