Engineering Commons^™

Nondestructive Detection Of Codling Moth Infestation In Apples Using Pixel-Based Nir Hyperspectral Imaging With Machine Learning And Feature Selection, Nader Ekramirad, Alfadhl Y. Khaled, Lauren E. Doyle, Julia R. Loeb, Kevin D. Donohue, Raul T. Villanueva, Akinbode A. Adedeji

Electrical and Computer Engineering Faculty Publications

Codling moth (CM) (Cydia pomonella L.), a devastating pest, creates a serious issue for apple production and marketing in apple-producing countries. Therefore, effective nondestructive early detection of external and internal defects in CM-infested apples could remarkably prevent postharvest losses and improve the quality of the final product. In this study, near-infrared (NIR) hyperspectral reflectance imaging in the wavelength range of 900–1700 nm was applied to detect CM infestation at the pixel level for three organic apple cultivars, namely Gala, Fuji and Granny Smith. An effective region of interest (ROI) acquisition procedure along with different machine learning and data processing …

Single-Rail Adiabatic Logic For Energy-Efficient And Cpa-Resistant Cryptographic Circuit In Low-Frequency Medical Devices, Amit Degada, Himanshu Thapliyal

Electrical and Computer Engineering Graduate Research

Designing energy-efficient and secure cryptographic circuits in low-frequency medical devices are challenging due to low-energy requirements. Also, the conventional CMOS logic-based cryptographic circuits solutions in medical devices can be vulnerable to side-channel attacks (e.g. correlation power analysis (CPA)). In this article, we explored single-rail Clocked CMOS Adiabatic Logic (CCAL) to design an energy-efficient and secure cryptographic circuit for low-frequency medical devices. The performance of the CCAL logic-based circuits was checked with a power clock generator (2N2P-PCG) integrated into the design for the frequency range of 50 kHz to 250 kHz. The CCAL logic gates show an average of approximately 48% …

A Comparative Study Of Yokeless And Segmented Armature Versus Single Sided Axial Flux Pm Machine Topologies For Electric Traction, Narges Taran, David Klink, Greg Heins, Vandana Rallabandi, Dean Patterson, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

This article systematically compares two axial flux permanent magnet machines designed for a university student racing car application: a double-rotor single-stator yokeless and segmented armature (YASA) structure, and a single-stator single-rotor configuration. Both machines are optimized for minimum loss and active weight using three-dimensional finite element analysis and the highest performing candidate designs are compared in more detail. The studies indicate that the benefits offered by the YASA configuration over the single-stator single-rotor machine are achieved only for specific designs that are heavier. For the design space with lower mass, albeit with increased losses, the Pareto front designs overlap. In …

Ee-Acml: Energy-Efficient Adiabatic Cmos/Mtj Logic For Cpa-Resistant Iot Devices, Zachary Kahleifeh, Himanshu Thapliyal

Electrical and Computer Engineering Faculty Publications

Internet of Things (IoT) devices have strict energy constraints as they often operate on a battery supply. The cryptographic operations within IoT devices consume substantial energy and are vulnerable to a class of hardware attacks known as side-channel attacks. To reduce the energy consumption and defend against side-channel attacks, we propose combining adiabatic logic and Magnetic Tunnel Junctions to form our novel Energy Efficient-Adiabatic CMOS/MTJ Logic (EE-ACML). EE-ACML is shown to be both low energy and secure when compared to existing CMOS/MTJ architectures. EE-ACML reduces dynamic energy consumption with adiabatic logic, while MTJs reduce the leakage power of a circuit. …

Artificial Intelligence Method For The Forecast And Separation Of Total And Hvac Loads With Application To Energy Management Of Smart And Nze Homes, Rosemary E. Alden, Huangjie Gong, Evan S. Jones, Cristinel Ababei, Dan M. Ionel

Electrical and Computer Engineering Faculty Publications

Separating the HVAC energy use from the total residential load can be used to improve energy usage monitoring and to enhance the house energy management systems (HEMS) for existing houses that do not have dedicated HVAC circuits. In this paper, a novel method is proposed to separate the HVAC dominant load component from the house load. The proposed method utilizes deep learning techniques and the physical relationship between HVAC energy use and weather. It employs novel long short-term memory (LSTM) encoder-decoder machine learning (ML) models, which are developed based on future weather data input in place of weather forecasts. In …

Intelligent Sensors For Sustainable Food And Drink Manufacturing, Nicholas J. Watson, Alexander L. Bowler, Ahmed Rady, Oliver J. Fisher, Alessandro Simeone, Josep Escrig, Elliot Woolley, Akinbode A. Adedeji

Biosystems and Agricultural Engineering Faculty Publications

Food and drink is the largest manufacturing sector worldwide and has significant environmental impact in terms of resource use, emissions, and waste. However, food and drink manufacturers are restricted in addressing these issues due to the tight profit margins they operate within. The advances of two industrial digital technologies, sensors and machine learning, present manufacturers with affordable methods to collect and analyse manufacturing data and enable enhanced, evidence-based decision making. These technologies will enable manufacturers to reduce their environmental impact by making processes more flexible and efficient in terms of how they manage their resources. In this article, a methodology …

Virtual Power Plant Control For Large Residential Communities Using Hvac Systems For Energy Storage, Huangjie Gong, Evan S. Jones, Rosemary E. Alden, Andrew G. Frye, Donald G. Colliver, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Heating, ventilation, and air-conditioning (HVAC) systems use the most electricity of any household appliance in residential communities. HVAC system modeling facilitates the study of demand response (DR) at both the residential and power system levels. In this article, the equivalent thermal model of a reference house is proposed. Parameters for the reference house were determined based on the systematic study of experimental data obtained from fully instrumented field demonstrators. Energy storage capacity of HVAC systems is calculated and an equivalent state-of-charge is defined. The uniformity between HVAC systems and battery energy storage system is demonstrated by DR control. The aggregated …

Equivalent Electric And Heat-Pump Water Heater Models For Aggregated Community-Level Demand Response Virtual Power Plant Controls, Huangjie Gong, Tim Rooney, Oluwaseun M. Akeyo, Brian T. Branecky, Dan M. Ionel

Electrical and Computer Engineering Faculty Publications

Advanced control techniques may be used to establish a virtual power plant to regulate the operation of electric water heaters, which may be regarded as a “uni-directional battery” and a major component of a hybrid residential energy storage system. In order to estimate the potential of regulating water heaters at the aggregated level, factors including user behavior, number of water heaters, and types of water heaters must be considered. This study develops generic water heater load curves based on the data retrieved from large experimental projects for resistive electric water heaters (EWHs) and heat pump water heaters (HPWHs). A community-level …

Design Optimization And Experimental Study Of Coreless Axial-Flux Pm Machines With Wave Winding Pcb Stators, Peng Han, Damien Lawhorn, Yaser Chulaee, Donovin Lewis, Greg Heins, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

This paper presents a systematic design optimization and experimental study of coreless axial-flux permanent magnet (AFPM) machines with wave winding printed circuit board (PCB) stators. Existing PCB winding configurations are briefly reviewed and compared to serve as a performance reference. A new concept –the “macro coil”– is proposed to model PCB stator windings in 3D finite element analysis (FEA) to facilitate large-scale multi-objective optimization with the winding eddy current losses evaluated in each design candidate. The detailed trace-by-trace model for a selected optimal design is then built to check the voltage difference between parallel paths and the resulting circulating currents. …

On The Modeling Of Bearing Voltage And Current In Pwm Converter-Fed Electric Machines Using Electromagnetic Finite Element Analysis, Peng Han, Yibin Zhang, Murat G. Kesgin, Greg Heins, Dean Patterson, Mark Thiele, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Bearing voltages and resulting currents in electric machines driven by PWM converters with fast switching and high dv/dt can cause premature bearing failures. With the transition from conventional Si devices to wide bandgap (WBG) devices and increase in switching frequency, bearing voltages and currents become more significant and need to be addressed from the early design stage. This paper proposes to use coupled field-circuit electromagnetic finite element analysis (FEA) to model bearing voltage and current in electric machines, which takes into account the influence of distributed winding conductors and frequency-dependent winding RL parameters. The three known bearing current types are …

Design Optimization Of A Very High Power Density Motor With A Reluctance Rotor And A Modular Stator Having Pms And Toroidal Windings, Peng Han, Murat G. Kesgin, Dan M. Ionel, Rohan Gosalia, Nakul Shah, Charles J. Flynn, Chandra Sekhar Goli, Somasundaram Essakiappan, Madhav Manjrekar

Power and Energy Institute of Kentucky Faculty Publications

This paper proposes a new high power density permanent magnet (PM) motor design for traction applications to achieve the 50kW/L target set by the US Department of Energy by increasing the torque capability and operating speed compared to conventional PM machine topologies. A large-scale multi-objective design optimization based on 2D finite element analysis (FEA) and differential evolution algorithm was conducted to achieve the best trade-off among high efficiency, high power density and high power factor. The torque-speed envelopes are also checked for the Pareto front designs to make sure they have a constant power speed ratio of at least 3:1. …

Generalized Energy Storage Model-In-The-Loop Suitable For Energy Star And Cta-2045 Control Types, Huangjie Gong, Evan S. Jones, A. H. M. Jakaria, Aminul Huque, Ajit Renjit, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The paper proposes a generalized energy storage (GES) model for battery energy storage systems (BESS), electric water heaters (EWH) and heating, ventilation, and air-conditioning (HVAC) systems. The analogies, including state of charge versus water temperature differential, are identified and explained, and models-in-the-loop (MIL) are introduced, which are compatible with the Energy Star and CTA-2045 general specifications and command types. Emphasis is placed on the proposed EWH model as it needfully fulfills a gap in present literature. The corresponding MIL has been implemented in the DER integration testbed, which was originally developed by EPRI, and satisfactorily validated against experimental results. A …

Improving The Power Outage Resilience Of Buildings With Solar Pv Through The Use Of Battery Systems And Ev Energy Storage, Huangjie Gong, Dan M. Ionel

Electrical and Computer Engineering Faculty Publications

Buildings with solar photovoltaic (PV) generation and a stationary battery energy storage system (BESS) may self-sustain an uninterrupted full-level electricity supply during power outages. The duration of off-grid operation is dependent on the time of the power fault and the capabilities of the home energy management system (HEMS). In this paper, building resilience is quantified by analyzing the self-sustainment duration for all possible power outages throughout an entire year. An evaluation method is proposed and exercised on a reference house in California climate zone 9 for which the detailed electricity usage is simulated using the EnergyPlus software. The influence of …

Power Factor And Reactive Power In Us Residences – Survey And Energyplus Modeling, Hope C. Anderson, Abdullah Al Hadi, Evan S. Jones, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Electric power systems are experiencing a growing number of electronic loads in the residential sector as modern appliance technology progresses, and it has become increasingly more important to consider the total power factor (PF) of residential communities. This paper provides a survey based on literature and publicly available information of typical appliance PF values and effects at the residential level as well as a discussion on appliance energy use and corresponding operation schedules. A procedure for the calculation of equivalent PF is proposed and exemplified with minutely experimental data at 15-minute and hourly time intervals, which correspond to smart metering …

Role Of Protective Relaying In The Smart Grid, J. Anderson, Alex Apostolov, R. Fowler, J. Gers, R. Kazimier, S. Klecker, Yuan Liao, M. Majidi, P. Myrda, T. Raffield

Electrical and Computer Engineering Presentations

This paper discusses the role of protective relaying in a Smart Grid. It outlines the definition, attributes, and benefits of a Smart Grid. The role that protective relays can play in implementing Smart Grid functionality and the impact that a Smart Grid design may have on modern protective relays is discussed. Specific examples of Smart Grid applications that may be implemented using modern protective relays and other intelligent electronic devices are provided.

Geomagnetic Disturbances (Gmd) Impacts On Protection Systems, Qun Qiu, V. Madani, Tapan Manna, T. Raffield, S. Klecker, Yuan Liao, S. Meliopoulos, D. Fontana

Electrical and Computer Engineering Presentations

This paper provides background and historical events of Geomagnetic Disturbances (GMD), and reviews GMD impacts on power systems equipment, and associated protection and control systems, mitigating measures, and Geomagnetic Induced Current (GIC) monitoring methods. This paper is a summary of the IEEE PES-TR72 report, titled, GMD Impacts on Protection Systems, prepared by the K17 Working Group of the IEEE Power System Relaying and Control committee.

Application Of Artificial Neural Networks To Power System State Estimation, James P. Carmichael, Yuan Liao

Electrical and Computer Engineering Presentations

State estimation function is essential for effective and timely execution of power system automation and control systems, especially in modern active distribution systems where more intermittent renewable energy systems are integrated into the grid. Distribution system state estimation faces a lot of challenges including lack of monitoring devices and possible incorrect topology information. Developing efficient state estimation for distribution systems is thus of great interest. This paper presents results on utilizing artificial neural networks for this purpose.

Artificial neural networks have been used in power distribution system state estimation. However, there is a lack of systematic analysis and study of …

Zip Load Modeling For Single And Aggregate Loads And Cvr Factor Estimation, Yiqi Zhang, Yuan Liao, Evan S. Jones, Nicholas Jewell, Dan M. Ionel

Electrical and Computer Engineering Presentations

ZIP load modeling has been used in various power system applications. The aggregate load modeling is common practice in utility companies. However, little research has been done on the theoretical formulation of the aggregate load. This paper formulates the aggregate ZIP load model using the single ZIP load model. The factors that may affect aggregate ZIP load estimation are studied. Common ZIP parameter estimation methods including least squares method, optimization method and neural network method have been used in this paper to estimate ZIP parameters. The case studies are based on the IEEE 13-bus and 34-bus system built in OpenDSS. …

Aggregated Generic Load Curve For Residential Electric Water Heaters, Huangjie Gong, Oluwaseun M. Akeyo, Tim Rooney, Brian T. Branecky, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Advanced control techniques may be used to regulate the operation of residential appliances to establish a virtual power plant. The electric water heater may be regarded as a “uni-directional battery” and a major component of a hybrid residential energy storage system. One of the main constraints of implementing demand response with EWH relates to the unpredictable customer behavior, which influences the domestic water tank temperature as well as the EWH operation cycle. This study analyzes the operation of multiple water heaters and develops an aggregated generic water heater load curve for the average residential customer based on experimental data retrieved …

Home Energy Management System For Coordinated Pv And Hvac Controls Based On Ai Forecasting, Huangjie Gong, Rosemary E. Alden, Dan M. Ionel

Power and Energy Institute of Kentucky Presentations

Introduction

• This HEMS serves to transform HVAC system demand into a schedulable load bank or “dispatchable load” through controls based on day ahead forecasts
• Within this poster, a complete structure from data acquisition to day-ahead load scheduling is proposed
• For the purpose of study, measured data is used in place of forecasts to showcase best case results.

Artificial Intelligence-Based Short-Term Electric Load Forecasts For Experimental Smart Homes Including Hvac And Pv Components, Rosemary E. Alden, Cristinel Ababei, Dan M. Ionel

Power and Energy Institute of Kentucky Presentations

Problem Formulation

• To predict electric load of the total average power as well as individual components for two residencies from experimental data
• Individual residential forecasting is difficult due to high variability of appliance usage and random human behavior influences
• Separate the HVAC load from total load as a desired profile using weather relationship and minimum HVAC load at night
• Data driven approach to reduce the amount of information about the home required

Co-Simulation Of Electric Power Distribution And Buildings With Energyplus And Opendss, Evan S. Jones, Dan M. Ionel

Power and Energy Institute of Kentucky Presentations

Problem Formulation

• Need for accurate load modeling that incorporates human comfort into community-level demand response (DR) studies
• Achievable through co-simulation of advanced digital twins for buildings with EnergyPlus and distribution systems with OpenDSS

Large-Scale Solar Pv And Battery Energy Storage Model Study On A Proposed Benchmark Transmission System, Gerald W. Bankes Ii, Oluwaseun M. Akeyo, Dan M. Ionel

Power and Energy Institute of Kentucky Presentations

Problem Formulation

• The move toward renewable energy sources has led to an increase in the penetration of inverter-based resources onto the transmission system
• Most literature discusses two types of models of IBRs, time-average models, which do not capture high-frequency switching effects, and detailed switching models, which are computationally expensive
• The IEEE 12-Bus test system was modified in PSCADTM/EMTDCTM to include a 100 MW PV facility and 100 MW battery energy storage system (BESS) connected at bus 2
• The PV facility and BESS are modelled using a proposed dynamic inverter-based resource module
• A demonstration of the module was performed using two …

Modeling Of Bearing Voltage In Electric Machines Based On Electromagnetic Fea And Measured Bearing Capacitance, Peng Han, Greg Heins, Dean Patterson, Mark Theile, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Bearing voltages and associated bearing currents in electric machines driven by pulsewidth modulation converters with high switching frequencies and high dv/dt can cause premature bearing failures. This article proposes a new modeling approach for the prediction of steady-state and transient bearing voltages based on two-dimensional (2-D) electromagnetic finite element analysis with coupled external circuits using measured bearing capacitance values. The distributed-element external circuit was employed mainly to take into account the influence of wire distribution and frequency dependency, which are typically neglected by traditional equivalent circuits. The developed model was then used to simulate bearing voltages for various scenarios and …

Investigation Of Variable Switching Frequency In Finite Control Set Model Predictive Control On Grid-Connected Inverters, Luocheng Wang, Tiefu Zhao, Jiangbiao He

Electrical and Computer Engineering Faculty Publications

Finite control set model predictive control (FCS-MPC) has been widely studied and applied to the power converters and motor drives. It provides the power electronics system with fast dynamic response, nonlinear system formulation, and flexible objectives and constraints integration. However, its variable switching frequency feature also induces severe concerns on the power loss, the thermal profile, and the filter design. Stemming from these concerns, this article investigates the variable switching frequency characteristics of FCS-MPC on the grid-connected inverters. An intuitive relationship between the switching frequency and the magnitude of the converter output voltage is proposed through the geometry analysis, where …

On The Design Of Coreless Permanent Magnet Machines For Electric Aircraft Propulsion, Damien Lawhorn, Peng Han, Donovin Lewis, Yaser Chulaee, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

This paper presents design and prototyping studies for coreless and slotless permanent magnet (PM) machines, which have the potential for high power density and efficiency, and discusses their feasibility for electric aircraft propulsion. The emphasis is on axial flux permanent magnet (AFPM) machines with printed circuit board (PCB) stators that have advantages over their wired counterparts in terms of design flexibility, coil accuracy, manufacturing process reliability, and heat dissipation. Detailed electromagnetic finite element analysis models were developed and employed alongside analytical sizing equations to evaluate the performance of two dual-rotor single-stator coreless AFPM designs employing wave and spiral PCB winding …

Combined Use Of Ev Batteries And Pv Systems For Improving Building Resilience To Blackouts, Huangjie Gong, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Californian residencies face increased risk of blackout. The state depends more on imported electricity that may not always be available to fill the gap between renewable generation and demand. For buildings with PV panels, storing the surplus solar power to support the load during a blackout can be achieved with a large energy storage system (ESS). The electric vehicle (EV) provides potential solutions as it can expand the energy capacity of the residential ESS with its battery. In this paper, a reference house in California was modeled in EnergyPlus. The building resilience for a house with different load percentages were …

Centralized Thermal Stress Oriented Dispatch Strategy For Paralleled Grid-Connected Inverters Considering Mission Profiles, Luocheng Wang, Tiefu Zhao, Jiangbiao He

Electrical and Computer Engineering Faculty Publications

One of the major failure causes in the power modules comes from the severe thermal stress in power semiconductor devices. Recently, some local control level methods have been developed to balance the power loss, dealing with the harsh mission profile, in order to reduce the thermal stress. However, there is not any specific system level strategy to leverage these local control level methods responding to the multiple inverters situation. Besides, the impacts of these methods on the thermal cycle and lifetime of the power modules in the long-term time scale have not been evaluated and compared yet. Hence, in this …

Analysis Of Torque Production In Axial-Flux Vernier Pm Machines Of The Magnus Type, Murat G. Kesgin, Peng Han, Damien Lawhorn, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The paper presents a study of the torque production in a novel vernier-type axial-flux permanent magnet (PM) machine topology named MAGNUS. Two computational methods are employed, one based on the 3D FEA Maxwell stress calculations on individual stator and rotor components and one based on the analytical derivation of the air-gap flux density harmonics. Examples are provided for a design with a 40-pole spoke-type PM rotor and two stators, one active including a 3-phase winding with 6 concentrated coils wound around main teeth in a single layer arrangement and a second stator that has neither coils nor main slots and …

Integrated Ac To Ac Converters For Single-Phase Input To Two-Phase Output Motor Drives, Yibin Zhang, Damien L. Lawhorn, Peng Han, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

The single-phase to two-phase converters have become attractive for low-power motor drives due to the full electromagnetic isolation between phases of two-phase motors. One of the commonly used topologies is the ac/dc/ac pulse width modulation (PWM) converter which contains twelve active power semiconductor switches and a common dc link. To minimize the system cost and size for low power applications, an integrated ac/ac converter with a single-phase input and a two-phase output which reduces the switch count to six is proposed in this paper. Additionally, modulation scheme and filters for the proposed converter are developed and modeled in details. In …