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This paper presents the electrolytic application of a load-matching PV system to produce green hydrogen. The system has proven its viability with purely resistive loads, and a static analysis has shown the performance potential of the system for electrolytic applications. This paper focuses on dynamic simulation of the load-matching PV system for green hydrogen production in SIMULINK. It is shown that an over 99% energy transfer efficiency from the PV array’s available energy to the electrolytic loads can be achieved under dynamic conditions for the system. The design parameters to optimize include the number of hydrogen cells per stack, the stack resistance, and the number of available stacks in the system. This system provides a simple but efficient approach for large-scale photovoltaic hydrogen production.
ContributorsPolo, Christian (Author) / Tao, Meng (Thesis director) / Parquette, William (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor)
Created2022-05
Description
This paper serves to report the research performed towards detecting PD and the effects of medication through the use of machine learning and finger tapping data collected through mobile devices. The primary objective for this research is to prototype a PD classification model and a medication classification model that predict the following: the individual’s disease status and the medication intake time relative to performing the finger-tapping activity, respectively.
ContributorsGin, Taylor (Author) / McCarthy, Alexandra (Co-author) / Berisha, Visar (Thesis director) / Baumann, Alicia (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
This paper serves to report the research performed towards detecting PD and the effects of medication through the use of machine learning and finger tapping data collected through mobile devices. The primary objective for this research is to prototype a PD classification model and a medication classification model that predict the following: the individual’s disease status and the medication intake time relative to performing the finger-tapping activity, respectively.
ContributorsMcCarthy, Alexandra (Author) / Gin, Taylor (Co-author) / Berisha, Visar (Thesis director) / Baumann, Alicia (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase in current within linear bipolar circuits. This increase in current is not desirable for space flight operations. Correctly selecting radiation hardened components or figuring out how to deal with the effects for space operation is important, however, radiation testing each component is very expensive and time consuming. To further the future of space travel, a more efficient way of testing is highly desired by the space industry.
A low-cost and time-efficient solution is the IMPACT tool. The Multiscale Tool for Modeling Radiation Effects in Linear Bipolar Circuits project aims to improve the existing IMPACT tool for radiation simulation. This tool contains a database of commonly used linear bipolar circuits and allows the user to model the radiation effects. Currently the tool is not very easy to use and the circuit database is limited. The team’s goal and overall outcome of the project is to deliver the IMPACT tool with a user-friendly interface and an expanded circuit database. The team is using multiple tools to improve the overall appearance of the IMPACT tool and running simulations to collect any necessary data for the database expansion.
In our thesis, Kerri and Kylie are using LTSpice simulations to expand the database. Cheyenne is using TCAD modeling to create TCAD models of transistors and compare them with her other group member’s simulations.
ContributorsCook, Cheyenne (Author) / Welch, Kerri (Co-author) / Welch, Kylie (Co-author) / Barnaby, Hugh (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase in current within linear bipolar circuits. This increase in current is not desirable for space flight operations. Correctly selecting radiation hardened components or figuring out how to deal with the effects for space operation is important, however, radiation testing each component is very expensive and time consuming. To further the future of space travel, a more efficient way of testing is highly desired by the space industry.
A low-cost and time-efficient solution is the IMPACT tool. The Multiscale Tool for Modeling Radiation Effects in Linear Bipolar Circuits project aims to improve the existing IMPACT tool for radiation simulation. This tool contains a database of commonly used linear bipolar circuits and allows the user to model the radiation effects. Currently the tool is not very easy to use and the circuit database is limited. The team’s goal and overall outcome of the project is to deliver the IMPACT tool with a user-friendly interface and an expanded circuit database. The team is using multiple tools to improve the overall appearance of the IMPACT tool and running simulations to collect any necessary data for the database expansion.
In our thesis, Kerri and Kylie are using LTSpice simulations to expand the database. Cheyenne is using TCAD modeling to create TCAD models of transistors and compare them with her other group member’s simulations.
ContributorsWelch, Kylie (Author) / Welch, Kerri (Co-author) / Cook, Cheyenne (Co-author) / Barnaby, Hugh (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase in current within linear bipolar circuits. This increase in current is not desirable for space flight operations. Correctly selecting radiation hardened components or figuring out how to deal with the effects for space operation is important, however, radiation testing each component is very expensive and time consuming. To further the future of space travel, a more efficient way of testing is highly desired by the space industry.
A low-cost and time-efficient solution is the IMPACT tool. The Multiscale Tool for Modeling Radiation Effects in Linear Bipolar Circuits project aims to improve the existing IMPACT tool for radiation simulation. This tool contains a database of commonly used linear bipolar circuits and allows the user to model the radiation effects. Currently the tool is not very easy to use and the circuit database is limited. The team’s goal and overall outcome of the project is to deliver the IMPACT tool with a user-friendly interface and an expanded circuit database. The team is using multiple tools to improve the overall appearance of the IMPACT tool and running simulations to collect any necessary data for the database expansion.
In our thesis, Kerri and Kylie are using LTSpice simulations to expand the database. Cheyenne is using TCAD modeling to create TCAD models of transistors and compare them with her other group member’s simulations.
ContributorsWelch, Kerri (Author) / Welch, Kylie (Co-author) / Cook, Cheyenne (Co-author) / Barnaby, Hugh (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
The Compact X-ray Light Source is an x-ray source at ASU that allows scientists to study the structures and dynamics of matter on an atomic scale. The radio frequency system that provides the power to accelerate electrons in the Compact X-ray Light Source must operate with a high degree of precision. This thesis measures the precision with which that system performs.
ContributorsBabic, Gregory (Author) / Graves, William (Thesis director) / Kitchen, Jennifer (Committee member) / Holl, Mark (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor) / Department of Physics (Contributor)
Created2022-05
Description
This thesis project explores the TID susceptibility of 12nm FinFETs. Along with the basic effects, the mechanisms and patterns of these effects are analyzed and reported.
ContributorsWallace, Trace (Author) / Barnaby, Hugh (Thesis director) / Marinella, Mathew (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05
Description
This thesis is done as an extension of the development of an electrical engineering capstone project. The goal of the capstone is to create a system that can receive a 2.4 GHz Wi-Fi signal out to a range of 300 meters and then use it to point in the direction of a given Wi-Fi source. The design process of the capstone system is described in depth and the results of the proposed design are presented. The thesis work explores how this system can achieve a dual band capability at both 2.4 GHz and 5 GHz Wi-Fi bands. So, a slotted patch antenna system with a slotted ground plane was designed and tested and proved to deliver the ideal characteristics for accurate signal tracking.
Contributorsde la Rosa, Jesus (Author) / Aberle, James (Thesis director) / Lewis, John (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description
In this research, I surveyed existing methods of characterizing Epilepsy from Electroencephalogram (EEG) data, including the Random Forest algorithm, which was claimed by many researchers to be the most effective at detecting epileptic seizures [7]. I observed that although many papers claimed a detection of >99% using Random Forest, it was not specified “when” the detection was declared within the 23.6 second interval of the seizure event. In this research, I created a time-series procedure to detect the seizure as early as possible within the 23.6 second epileptic seizure window and found that the detection is effective (> 92%) as early as the first few seconds of the epileptic episode. I intend to use this research as a stepping stone towards my upcoming Masters thesis research where I plan to expand the time-series detection mechanism to the pre-ictal stage, which will require a different dataset.
ContributorsBou-Ghazale, Carine (Author) / Lai, Ying-Cheng (Thesis director) / Berisha, Visar (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05