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Description
There has been a significant growth in the distributed energy resources (DERs) connected to the distribution networks in recent years. For a distribution system with a high penetration of DERs, a detailed modeling and representation of the distribution network is needed to accurately assess its steady-state and dynamic behavior. In this dissertation, a field-validated model for a real sub-transmission and distribution network is developed, including one of the feeders modeled with the secondary network and loads and solar PV units at their household/user location. A procedure is developed combining data from various sources such as the utility database, geoinformation data, and field measurements to create an accurate network model.
Applying a single line to ground fault to the detailed distribution feeder model, a high voltage swell, with potentially detrimental impacts on connected equipment, is shown in one of the non-faulted phases of the feeder. The reason for this voltage swell is analyzed in detail. It is found that with appropriate control the solar PV units on the feeder can reduce the severity of the voltage swell, but not entirely eliminate it.
For integrated studies of the transmission-distribution (T&D) network, a T&D co-simulation framework is developed, which is capable of power flow as well as dynamic simulations, and supports unbalanced modeling and disturbances in the distribution as well as the sub-transmission system. The power flow co-simulation framework is developed as a module that can be run on a cloud-based platform.
Using the developed framework, the T&D system response is studied for balanced and unbalanced faults on the distribution and sub-transmission system. For some faults the resultant loss of generation can potentially lead to the entire feeder tripping due to high unbalance at the substation. However, it is found that advanced inverter controls may improve the response of the distribution feeders to the faults. The dissertation also highlights the importance of modeling the secondary network for both steady-state and dynamic studies. Lastly, a preliminary investigation is conducted to include different dynamic elements such as grid-forming inverters in a T&D network simulation.
ContributorsThakar, Sushrut (Author) / Vittal, Vijay (Thesis advisor) / Ayyanar, Raja (Thesis advisor) / Hedman, Mojdeh (Committee member) / Ramapuram Matavalam, Amarsagar Reddy (Committee member) / Arizona State University (Publisher)
Created2023
Description
Wide Bandgap (WBG) semiconductor materials are shaping day-to-day technologyby introducing powerful and more energy responsible devices. These materials have
opened the door for building basic semiconductor devices which are superior in terms of
handling high voltages, high currents, power, and temperature which is not possible using
conventional silicon technology. As the research continues in the field of WBG based
devices, there is a potential chance that the power electronics industry can save billions of
dollars deploying energy-efficient circuits in high power conversion electronics. Diamond,
silicon carbide and gallium nitride are the top three contenders among which diamond can
significantly outmatch others in a variety of properties. However, diamond technology is
still in its early phase of development and there are challenges involved in many aspects of
processing a successful integrated circuit. The work done in this research addresses three
major aspects of problems related to diamond technology. In the first part, the applicability
of compact modeling and Technology Computer-Aided Design (TCAD) modeling
technique for diamond Schottky p-i-n diodes has been demonstrated. The compact model
accurately predicts AC, DC and nonlinear behavior of the diode required for fast circuit
simulation. Secondly, achieving low resistance ohmic contact onto n-type diamond is one
of the major issues that is still an open research problem as it determines the performance
of high-power RF circuits and switching losses in power converters circuits. So, another
portion of this thesis demonstrates the achievement of very low resistance ohmic contact
(~ 10-4 Ω⋅cm2) onto n-type diamond using nano crystalline carbon interface layer. Using
the developed TCAD and compact models for low resistance contacts, circuit level
predictions show improvements in RF performance. Lastly, an initial study of breakdown
characteristics of diamond and cubic boron nitride heterostructure is presented. This study
serves as a first step for making future transistors using diamond and cubic boron nitride –
a very less explored material system in literature yet promising for extreme circuit
applications involving high power and temperature.
ContributorsJHA, VISHAL (Author) / Thornton, Trevor (Thesis advisor) / Goodnick, Stephen (Committee member) / Nemanich, Robert (Committee member) / Alford, Terry (Committee member) / Hoque, Mazhar (Committee member) / Arizona State University (Publisher)
Created2023
Description
ABSTRACTWith the National Aeronautics and Space Administration (NASA) Psyche Mission, humans will soon have the first opportunity to explore a new kind of planetary body: one composed mostly of metal as opposed to stony minerals or ices. Identifying the composition of asteroids from Earth-based observations has been an ongoing challenge. Although optical reflectance spectra, radar, and orbital dynamics can constrain an asteroid’s mineralogy and bulk density, in many cases there is not a clear or precise match with analogous materials such as meteorites. Additionally, the surfaces of asteroids and other small, airless planetary bodies can be heavily modified over geologic time by exposure to the space environment. To accurately interpret remote sensing observations of metal-rich asteroids, it is therefore necessary to understand how the processes active on asteroid surfaces affect metallic materials. This dissertation represents a first step toward that understanding. In collaboration with many colleagues, I have performed laboratory experiments on iron meteorites to simulate solar wind ion irradiation, surface heating, micrometeoroid bombardment, and high-velocity impacts. Characterizing the meteorite surface’s physical and chemical properties before and after each experiment can constrain the effects of each process on a metal-rich surface in space. While additional work will be needed for a complete understanding, it is nevertheless possible to make some early predictions of what (16) Psyche’s surface regolith might look like when humans observe it up close. Moreover, the results of these experiments will inform future exploration beyond asteroid Psyche as humans attempt to understand how Earth’s celestial neighborhood came to be.
ContributorsChristoph, John Morgan M. (Author) / Elkins-Tanton, Linda (Thesis advisor) / Williams, David (Committee member) / Dukes, Catherine (Committee member) / Sharp, Thomas (Committee member) / Bell III, James (Committee member) / Arizona State University (Publisher)
Created2023
Description
Computed tomography (CT) and synthetic aperture sonar (SAS) are tomographic imaging techniques that are fundamental for applications within medical and remote sensing. Despite their successes, a number of factors constrain their image quality. For example, a time-varying scene during measurement acquisition yields image artifacts. Additionally, factors such as bandlimited or sparse measurements limit image resolution. This thesis presents novel algorithms and techniques to account for these factors during image formation and outperform traditional reconstruction methods. In particular, this thesis formulates analysis-by-synthesis optimizations that leverage neural fields to predict the scene and differentiable physics models that incorporate prior knowledge about image formation. The specific contributions include: (1) a method for reconstructing CT measurements from time-varying (non-stationary) scenes; (2) a method for deconvolving SAS images, which benefits image quality; (3) a method that couples neural fields and a differentiable acoustic model for 3D SAS reconstructions.
ContributorsReed, Albert William (Author) / Jayasuriya, Suren (Thesis advisor) / Brown, Daniel C (Committee member) / Dasarathy, Gautam (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Created2023
Description
Electrochemical technologies emerge as a feasible solution to monitor and treat pollutants. Although electrochemical technologies have garnered widespread attention, their commercial applications are still constrained by the use of expensive electrocatalysts, and the bulky and rigid plate design of electrodes that restricts electrochemical reactor design to systems with poor electrode surface/ volume treated ratios. By making electrodes flexible, more compact designs that maximize electrode surface per volume treated might become a reality. This dissertation encompasses the successful fabrication of flexible nanocomposite electrodes for electrocatalysis and electroanalysis applications.First, nano boron-doped diamond electrodes (BDD) were prepared as an inexpensive alternative to commercial boron-doped diamond electrodes. Comparative detailed surface and electrochemical characterization was conducted. Empirical study showed that replacing commercial BDD electrodes with nano-BDD electrodes can result in a cost reduction of roughly 1000x while maintaining the same electrochemical performance.
Next, self-standing electrodes were fabricated through the electropolymerization of conducing polymer, polypyrrole. Surface characterizations, such as SEM, FTIR and XPS proved the successful fabrication of these self-standing electrodes. High mechanical stability and bending flexibility demonstrated the ability to use these electrodes in different designs, such as roll-to-roll membranes. Electrochemical nitrite reduction was employed to demonstrate the viability of using self-standing nanocomposite electrodes for electrocatalytic applications reducing hazardous nitrogen oxyanions (i.e., nitrite) towards innocuous species such as nitrogen gas. A high faradaic efficiency of 78% was achieved, with high selectivity of 91% towards nitrogen gas.
To further enhance the conductivity and charge transfer properties of self-standing polypyrrole electrodes, three different nanoparticles, including copper (Cu), gold (Au), and platinum (Pt), were incorporated in the polypyrrole matrix. Effect of nanoparticle wt% and interaction between metal nanoparticles and polypyrrole matrix was investigated for electroanalytical applications, specifically dopamine sensing. Flexible nanocomposite electrodes showed outstanding performance as electrochemical sensors with PPy-Cu 120s exhibiting a low limit of detection (LOD) of 1.19 µM and PPy-Au 120s exhibiting a high linear range of 5 µM - 300 µM.
This dissertation outlines a method of fabricating self-standing electrodes and provides a pathway of using self-standing electrodes based on polypyrrole and polypyrrole-metal nanocomposites for various applications in wastewater treatment and electroanalytical sensing.
ContributorsBansal, Rishabh (Author) / Garcia-Segura, Sergio (Thesis advisor) / Westerhoff, Paul (Committee member) / Perreault, Francois (Committee member) / Chan, Candace (Committee member) / Arizona State University (Publisher)
Created2023
Description
Perovskite solar cells are one of the rising stars in the solar cell industry. This thesis explores several approaches to enhance the properties of the perovskite layer and the solar cell devices in which they operate. They include studies of different antisolvent additives during spin coating of triple cation perovskites, the use of surfactants to improve the quality of perovskite film microstructures, the applicability of a new fabrication process, and the value of post-deposition thermal and chemical annealing processes.This thesis experimentally analyzes different antisolvents, viz., ethyl acetate, isopropyl alcohol, toluene, and chlorobenzene. It focuses on the antisolvent-assisted crystallization method to achieve homogenous nucleation of the perovskite film. Of all the antisolvents, ethyl acetate-treated films gave the best-performing device, achieving a power conversion efficiency of 15.5%.
This thesis also analyzes the effects of mixed antisolvents on the qualities of triple-cation perovskites. Different solution concentrations of chlorobenzene in ethyl acetate and isopropyl alcohol in ethyl acetate are optimized for optimal supersaturation to achieve enlarged perovskite grains. Evaluations are discussed in the context of solution polarity and boiling point of the antisolvents, where 25% chlorobenzene in ethyl acetate antisolvent mixture shows the best film properties.
Another study discusses a new fabrication process called electrical field-assisted direct ink deposition for large-scale printing of perovskite solar cells. This process involves the formation of nanodroplets under an electrical field deposited onto ITO/glass substrates. As a result, smooth Poly (3,4-ethylene dioxythiophene) polystyrene sulfonate layers are
ii
produced with an average effective electrical resistivity of 4.15104 0.26 -m compared to that of spin-coated films.
A successive chapter discusses the studies of the electrical field-assisted direct ink deposition of the photoactive CH3NH3PbI2 (MAPbI3) layer. Its focus is on the post-deposition chemical annealing of the MAPbI3 films in methylamine gas, termed as methylamine gas-assisted healing and growth of perovskite films. This treatment improved the smoothness, reduced porosity, increased density, and generated more uniform grain sizes. Moreover, it improved the inter-grain boundary contacts by eliminating secondary, fine-grained boundary structures. Mechanisms behind the initial liquefaction of the MAPbI3 film's subsequent re-solidification are discussed.
ContributorsGogoi, Banashree (Author) / Alford, Terry (Thesis advisor) / Petuskey, William (Thesis advisor) / Gould, Ian (Committee member) / Li, Jian (Committee member) / Arizona State University (Publisher)
Created2023
Label-free Biomolecule Characterization and Functional Study by Surface Sensitive Optical Microscopy
Description
Analysis of the characteristics of biomolecules, including size, charge and binding kinetics, is essential for biomedical and life science research and applications. State-of-the-art protein analysis methods rely on separate technologies to quantify these characteristics, and considerable time, cost and analytes are required. Lack of single molecule analysis capability in above methods also making them difficult to study heterogeneous processes and achieving precision diagnosis.To address these issues, several techniques based on surface sensitive optical imaging principles were developed. The first technique is evanescent scattering microscopy (ESM) with single molecule resolution, which is capable of imaging single immunoglobulin G with high signal-to-noise ratio. In addition, nano-oscillator was combined with the ESM to achieve the simultaneous size and charge detection of single proteins.
Based on the unique high axial sensitivity of the surface plasmon resonance (SPR), a 3D tracking technique to study the motion and interaction of biomolecules was introduced. With the additional dimension, more information in particle motions can be revealed compared to conventional 2D bright field tracking. By tracking the motion of nanoparticles, motion pattern of tethered nanoparticles and interaction between double-stranded DNA and an enzyme can be visualized.
The G protein-coupled receptors (GPCRs) expressed virion oscillator array for quantification of the binding kinetics of small molecule drugs and different GPCRs was attempted. Cross-talking signals between the array spots were discovered, and several control experiments were performed to explore the possible reason. As an alternative solution for multiplexing, DNA barcode technique was implemented with the GPCR virions and achieved with the ESM, which paved a way for multiplexed single molecule binding kinetics studies.
Circular RNAs has been found as an important class of regulators at the transcriptional and posttranscriptional level and could be potential biomarkers for many diseases. However, determination of its existence from the linear RNAs is challenging for the tradition molecular detection methods. Due to the no ending feature, by designing a unique complementary probe sequence, hybridization affinity difference between circular and linear RNA can be distinguished. Affinities with different hybridization nucleotides number were measured and verified.
ContributorsWan, Zijian (Author) / Wang, Shaopeng SW (Thesis advisor) / Wang, Chao CW (Committee member) / Forzani, Erica EF (Committee member) / Jing, Tianwei TJ (Committee member) / Arizona State University (Publisher)
Created2023
Description
Both molecular structure of macromolecular materials and subsequent processing of these materials dictate resulting material properties. In this work novel synthetic strategies combined with detailed analytical methodology reveal fundamental structure-processing-property relationships in thermoplastic polyesters, thermoplastic polyurethanes, covalently crosslinked acetal functionalized networks, and small molecule surfactants. 4,4’ dimethyloxybisbenzoate afforded a series of novel polyester structures, and the incorporation of this monomer both increased the Tg and decreased the crystallinity in cyclohexane dimethanol based polyesters. Solubility and dynamic light scattering experiments combined with oscillatory rheology techniques provided methodology to validate polyurethane extrusion in commercial polyurethanes. Acid catalyzed hydroxyl addition to vinyl ethers provided two families of acetal functionalized poly(ethylene glycol hydrogels). Stoichiometric control of binary thiol-acrylate polymerizations afforded hydrogels with both tunable mechanical properties and predictable degradation profiles. Following this work, a photoacid generator catalyzed cationic catalysis provided acetal functionalized organogels whose mechanical properties were predicted by excess vinyl ether monomers which underwent cationic polymerization under the same reaction conditions that yielded acetal functionalization. Time resolved FT-IR spectroscopy provided new understanding in hydroxyl vinyl ether reactions, where both hydroxyl addition to a vinyl ether and vinyl ether cationic polymerization occur concurrently. This work inspired research into new reactive systems for photobase generator applications. However, current photobase generator technologies proved incompatible for carbon-Michael reactions between acetoacetate and acrylate functionalities as a result of uncontrollable acrylate free radical polymerization. The fundamental knowledge and synthetic strategies afforded by these investigations were applied to small molecule surfactant systems for fire-fighting applications. Triethylsilyl-containing zwitterionic and cationic surfactants displayed surface tensions lower than hydrocarbon surfactants, but larger than siloxane-containing surfactants. For the first time, oscillatory rheology and polarized optical light imagine rheology highlighted shear-induced micelle alignment in triethylsilyl surfactants, which provided more stable foams than zwitterionic analogues. The knowledge gained from these investigations provided fundamental structure-processing-property relationships in small molecule surfactant solutions applied as fire-fighting foams. This discovery regarding the effect of self-assembled structures in foam solutions informs the design and analysis of next generation surfactants to replace fluorocarbon surfactants in fire-fighting foam applications.
ContributorsBrown, James Robert (Author) / Long, Timothy E (Thesis advisor) / Bortner, Michael J (Committee member) / Biegasiewicz, Kyle F (Committee member) / Jin, Kailong (Committee member) / Arizona State University (Publisher)
Created2023
Description
This is a two-part thesis.Part-I:
This work investigated the long-term reliability of a statistically significant number of two different commercial module-level power electronics (MLPE) devices using two input power profiles at high temperatures to estimate their reliability and service life in field-use conditions. Microinverters underwent a period of 15,000 accelerated stress hours, whereas the power optimizers underwent a period of 6,400 accelerated stress hours. None of the MLPE devices failed during the accelerated test; however, the optimizers degraded by about 1% in output efficiency. Based on their accelerated stress temperatures, the estimated field equivalent service life approximated using the Arrhenius model ranges between 24-48 years for microinverters and 39-73 years for optimizers, with a reliability of 74% and a lower one-sided confidence level of 95%. Furthermore, using the Weibull distribution model, the reliability and service lifetimes of MLPE devices are statistically analyzed. MLPE lifetimes estimated using Weibull slope and shape parameters with a 95% lower one-sided confidence level indicate a similar, or possibly exceeding, the 25-year lifetime of the associated photovoltaic (PV) modules. Part–II:This study investigated the impact of the hotspot stress test on glass-backsheet and glass-glass modules. Before the hotspot testing, both modules were pre-stressed using 600 thermal cycles (TC600) to represent decades of field-exposed modules experiencing hotspot effects in field-use conditions. The glass-glass module reached a hotspot temperature of nearly 200°C, whereas the glass-backsheet module's maximum hotspot temperature was almost 150°C. After the hotspot experiment, electroluminescence imaging showed that most of the cells in the glass-glass module appeared to have experienced significant damage. In contrast, the stressed cells in the glass-backsheet module appeared to have experienced insignificant damage. After the sequential stress testing (hotspot testing after TC600), the glass-glass module degraded by nearly 8.3% in maximum power, whereas the glass-backsheet module experienced 1.3% degradation. This study also incorporated hotspot endurance in fresh (without being subjected to prior TC600) glass-glass and glass-backsheet modules. The test outcome demonstrated that both module types exhibited marginal maximum power loss.
ContributorsAfridi, Muhammad Zain Ul Abideen (Author) / Tamizhmani, Govindasamy (Thesis advisor) / Kiaei, Sayfe (Thesis advisor) / Bakkaloglu, Bertan (Committee member) / Flicker, Jack (Committee member) / Arizona State University (Publisher)
Created2023
Description
In recent years, the proliferation of deep neural networks (DNNs) has revolutionized the field of artificial intelligence, enabling advancements in various domains. With the emergence of efficient learning techniques such as quantization and distributed learning, DNN systems have become increasingly accessible for deployment on edge devices. This accessibility brings significant benefits, including real-time inference on the edge, which mitigates communication latency, and on-device learning, which addresses privacy concerns and enables continuous improvement. However, the resource limitations of edge devices pose challenges in equipping them with robust safety protocols, making them vulnerable to various attacks. Two notable attacks that affect edge DNN systems are Bit-Flip Attacks (BFA) and architecture stealing attacks. BFA compromises the integrity of DNN models, while architecture stealing attacks aim to extract valuable intellectual property by reverse engineering the model's architecture. Furthermore, in Split Federated Learning (SFL) scenarios, where training occurs on distributed edge devices, Model Inversion (MI) attacks can reconstruct clients' data, and Model Extraction (ME) attacks can extract sensitive model parameters. This thesis aims to address these four attack scenarios and develop effective defense mechanisms. To defend against BFA, both passive and active defensive strategies are discussed. Furthermore, for both model inference and training, architecture stealing attacks are mitigated through novel defense techniques, ensuring the integrity and confidentiality of edge DNN systems. In the context of SFL, the thesis showcases defense mechanisms against MI attacks for both supervised and self-supervised learning applications. Additionally, the research investigates ME attacks in SFL and proposes countermeasures to enhance resistance against potential ME attackers. By examining and addressing these attack scenarios, this research contributes to the security and privacy enhancement of edge DNN systems. The proposed defense mechanisms enable safer deployment of DNN models on resource-constrained edge devices, facilitating the advancement of real-time applications, preserving data privacy, and fostering the widespread adoption of edge computing technologies.
ContributorsLi, Jingtao (Author) / Chakrabarti, Chaitali (Thesis advisor) / Fan, Deliang (Committee member) / Cao, Yu (Committee member) / Trieu, Ni (Committee member) / Arizona State University (Publisher)
Created2023