The Ship-Port Interface Safety Management: Case Study Of Lng Ports And Marine Terminals In Algeria,
2022
World Maritime University
The Ship-Port Interface Safety Management: Case Study Of Lng Ports And Marine Terminals In Algeria, Benyebka Cherigui
World Maritime University Dissertations
No abstract provided.
Integration Of A Hybrid Microgrid System Using Renewable Energy Sources: A Case Study Of Lagos Port Nigeria,
2022
World Maritime University
Integration Of A Hybrid Microgrid System Using Renewable Energy Sources: A Case Study Of Lagos Port Nigeria, Juliet Inze Amwe
World Maritime University Dissertations
No abstract provided.
Analysis Of Wind Assisted Ship Propulsion Through 3d-Computational Fluid Dynamics: Application Of Rigid Wind Sails On A Bulk Carrier,
2022
World Maritime University
Analysis Of Wind Assisted Ship Propulsion Through 3d-Computational Fluid Dynamics: Application Of Rigid Wind Sails On A Bulk Carrier, Darnela Mboumba Mboumba
World Maritime University Dissertations
No abstract provided.
Numerical Investigations Of The Fluid Flow And Heat Transfer And Construction Of Control System For The Canadian Supercritical Water-Cooled Reactor Power Plant,
2022
The University of Western Ontario
Numerical Investigations Of The Fluid Flow And Heat Transfer And Construction Of Control System For The Canadian Supercritical Water-Cooled Reactor Power Plant, Huirui Han
Electronic Thesis and Dissertation Repository
Canada participated in the Generation IV nuclear reactors with the Supercritical Water-Cooled Reactor (SCWR) concept. This work focuses on the numerical studies of the fluid flow and heat transfer of the supercritical water in the nuclear reactor fuel bundle, and the construction of the linear dynamic model and the design of the control system for the Canadian SCWR power plant.
Firstly, the fluid flow and heat transfer of the supercritical water in the vertical tube and the rod bundle is numerically investigated to evaluate whether the existing turbulent models could successfully caption the wall temperature variations at supercritical conditions by …
Agglomerative Hierarchical Clustering With Dynamic Time Warping For Household Load Curve Clustering,
2022
Western University
Agglomerative Hierarchical Clustering With Dynamic Time Warping For Household Load Curve Clustering, Fadi Almahamid, Katarina Grolinger
Electrical and Computer Engineering Publications
Energy companies often implement various demand response (DR) programs to better match electricity demand and supply by offering the consumers incentives to reduce their demand during critical periods. Classifying clients according to their consumption patterns enables targeting specific groups of consumers for DR. Traditional clustering algorithms use standard distance measurement to find the distance between two points. The results produced by clustering algorithms such as K-means, K-medoids, and Gaussian Mixture Models depend on the clustering parameters or initial clusters. In contrast, our methodology uses a shape-based approach that combines Agglomerative Hierarchical Clustering (AHC) with Dynamic Time Warping (DTW) to classify …
Study Of Stochastic Market Clearing Problems In Power Systems With High Renewable Integration,
2022
Southern Methodist University
Study Of Stochastic Market Clearing Problems In Power Systems With High Renewable Integration, Saumya Sakitha Sashrika Ariyarathne
Operations Research and Engineering Management Theses and Dissertations
Integrating large-scale renewable energy resources into the power grid poses several operational and economic problems due to their inherently stochastic nature. The lack of predictability of renewable outputs deteriorates the power grid’s reliability. The power system operators have recognized this need to account for uncertainty in making operational decisions and forming electricity pricing. In this regard, this dissertation studies three aspects that aid large-scale renewable integration into power systems. 1. We develop a nonparametric change point-based statistical model to generate scenarios that accurately capture the renewable generation stochastic processes; 2. We design new pricing mechanisms derived from alternative stochastic programming …
Identifying Opportunities And Priorities For Energy Extension,
2022
University of Maryland
Identifying Opportunities And Priorities For Energy Extension, Drew F. Schiavone
The Journal of Extension
An online survey was administered to all educators and specialists within the University of Maryland Extension to assess client-driven opportunities and priorities for energy-related programming, while in-service training evaluations were used to further assess programmatic needs. Results indicate the need for information related to energy conservation and clean energy technology for agricultural and residential clientele. Primary barriers were perceived as the insufficient understanding and high costs associated with clean energy, while experiential participation and firsthand observation were reported as preferred learning methods. These results provide an understanding of how energy-related programming can expand the role and relevancy of Extension.
Developing Positive Thermal Coefficient (Ptc) Heaters For Solar Electric Cooking,
2022
California Polytechnic State University, San Luis Obispo
Developing Positive Thermal Coefficient (Ptc) Heaters For Solar Electric Cooking, Katarina Ivana Brekalo, Andrew Shepherd
Physics
Positive Thermal Coefficients, PTCs, are materials that abruptly change in resistance in response to changes in temperature. The purpose of this experiment is to explore the viability of using the switching type ceramic PTC thermistor as a replacement for current resistive heaters. These types of PTCs have a nonlinear change in resistance with increases in temperature. This device will be used as a temperature-controlling heating element intended to power an Insulated Solar Electric Cooker (ISEC). The ISEC is designed to cook meals throughout the day for impacted communities as an alternative cooking method that doesn’t require biofuel as an energy …
How Will Heat Pumps Affect Electricity Load Profiles For Buildings In Ireland? Empirical Data Used To Model Possible Financial Impacts Facing Consumers,
2022
Technological University Dublin
How Will Heat Pumps Affect Electricity Load Profiles For Buildings In Ireland? Empirical Data Used To Model Possible Financial Impacts Facing Consumers, Michael Mcdonald
Conference papers
The current geopolitical situation is certainly challenging the colossal transition to Zero carbon Economy. In fact, in the coming years, the electricity sector will have to find new innovative ways to meet the ever increasing need for energy without the over reliance on fossil fuels and their country of origin. Over the next decade, oil and gas boilers will not be permitted in new buildings in Ireland, in line with the Irish Building Regulations, Technical Guidance Document L – Conservation of Fuel and Energy 2021. This is a major shift in traditional building services methodology and heat technology. …
Electrical Characterization Of Solar Cell Using Arduino And Polarization Film,
2022
University of Pennsylvania
Electrical Characterization Of Solar Cell Using Arduino And Polarization Film, Mark Lancaster, Ahana Jhamb, Xilai Song, Marissa Youderian, Gabriel Unger, Gyuseok L. Kim
Educational Materials
A solar cell laboratory course for high school and college undergraduate students is proposed. The electrical characterization of the solar cell is performed to confirm the functionality of the device as both a diode and a power source. The efficiency of the solar cell in the illuminated condition is found to be 13.1 %. We find the efficiency of the solar cell slightly decreases as the intensity of light decreases. However, there is no significant difference in efficiency except for in the opaque condition. A calibrated solar cell, multimeter, current sensor, Arduino, coding and polarization are used to perform the …
Short-Term Electricity Price Point And Probabilistic Forecasts,
2022
Mississippi State University
Short-Term Electricity Price Point And Probabilistic Forecasts, Chenxu Zhang
Theses and Dissertations
Accurate short-term electricity price forecasts are essential to all electricity market participants. Generation companies adopt price forecasts to hedge generation shortage risks; load serving entities use price forecasts to purchase energy with low cost; and trading companies utilize price forecasts to arbitrage between markets.
Currently, researches on point forecast mainly focus on exploring periodic patterns of electricity price in time domain. However, frequency domain enables us to identify more information within price data to facilitate forecast. Besides, price spike forecast has not been fully studied in the existing works. Therefore, we propose a short-term electricity price forecast framework that analyzes …
Modeling Supercritical Fluids And Fabricating Electret Films To Address Dielectric Challenges In High-Power-Density Systems,
2022
Mississippi State University
Modeling Supercritical Fluids And Fabricating Electret Films To Address Dielectric Challenges In High-Power-Density Systems, Farhina Haque
Theses and Dissertations
Wide bandgap (WBG) devices and power electronic converters (PEC) that enable the dynamic control of energy and high-power density designs inevitably contain defects including sharp edges, triple points, and cavities, which result in local electric field enhancements. The intensified local electric stresses cause either immediate dielectric breakdown or partial discharge (PD) that erodes electrical insulators and accelerates device aging. With the goal of addressing these dielectric challenges emerging in power-dense applications, this dissertation focuses on 1) modeling the dielectric characteristics of supercritical fluids (SCFs), which is a new dielectric medium with high dielectric strength and high cooling capability; and 2) …
Power Market Cybersecurity And Profit-Targeting Cyberattacks,
2022
University of Tennessee, Knoxville
Power Market Cybersecurity And Profit-Targeting Cyberattacks, Qiwei Zhang
Doctoral Dissertations
The COVID-19 pandemic has forced many companies and business to operate through remote platforms, which has made everyday life and everyone more digitally connected than ever before. The cybersecurity has become a bigger priority in all aspects of life. A few real-world cases have demonstrated the current capability of cyberattacks as in [1], [2], and [3]. These cases invalidate the traditional belief that cyberattacks are unable to penetrate real-world industrial systems. Beyond the physical damage, some attackers target financial arbitrage advantages brought by false data injection attacks (FDIAs) [4]. Malicious breaches into power market operations could induce catastrophic consequences on …
Efficient Control Approaches For Guaranteed Frequency Performance In Power Systems,
2022
University of Tennessee, Knoxville
Efficient Control Approaches For Guaranteed Frequency Performance In Power Systems, Samaneh Morovati
Doctoral Dissertations
Due to high penetration of renewable energy, converter-interfaced sources are increasing in power systems and degrading the grid frequency response. Synthetic inertia emulation and guaranteed primary frequency response is a challenging task. Still, there is high potential for application of highly controllable converter-interfaced devices to help performance. Renewable energy sources and demand side smart devices also need to be equipped with innovative frequency control approaches that contribute to frequency regulation operations.
First, the wind turbine generator is chosen to represent an example of a converter- interfaced source. An augmented system frequency response model is derived, including the system frequency response …
Analysis And Development Of Multiple Phase Shift Modulation In A Sic-Based Dual Active Bridge Converter,
2022
University of Tennessee, Knoxville
Analysis And Development Of Multiple Phase Shift Modulation In A Sic-Based Dual Active Bridge Converter, Yu Yan
Doctoral Dissertations
Renewable energy adoption is a popular topic to release the stress of climate change caused by greenhouse gas. Electricity is ideal secondary energy for clean primary energy such as nuclear, wind, photovoltaic, and so on. To extend the application of electricity and reduce fossil energy consumption by transportation sectors, electric vehicles (EVs) become promising technology that can further inspire the development of renewable energy.
Battery as the core in an EV provides the energy to the motor and all on-board electric equipment. The battery charger is mainly composed of a power factor correction (PFC) and isolated DC-DC converter. Therefore, power …
Power Quality Control And Common-Mode Noise Mitigation For Inverters In Electric Vehicles,
2022
University of Tennessee, Knoxville
Power Quality Control And Common-Mode Noise Mitigation For Inverters In Electric Vehicles, Yang Huang
Doctoral Dissertations
Inverters are widely utilized in electric vehicle (EV) applications as a major voltage/current source for onboard battery chargers (OBC) and motor drive systems. The inverter performance is critical to the efficiency of EV system energy conversion and electronics system electro-magnetic interference (EMI) design. However, for AC systems, the bandwidth requirement is usually low compared with DC systems, and the control impact on the inverter differential-mode (DM) and common-mode (CM) performance are not well investigated. With the wide-band gap (WBG) device era, the switching capability of power electronics devices drastically improved. The DM/CM impact that was brought by the WBG device-based …
Hierarchical And Distributed Architecture For Large-Scale Residential Demand Response Management,
2022
Clemson University
Hierarchical And Distributed Architecture For Large-Scale Residential Demand Response Management, Pramod Herath Mudiyanselage
All Dissertations
The implementation of smart grid brings several challenges to the power system. The ‘prosumer’ concept, proposed by the smart grid, allows small-scale ‘nano-grids’ to buy or sell electric power at their own discretion. One major problem in integrating prosumers is that they tend to follow the same pattern of generation and consumption, which is un-optimal for grid operations. One tool to optimize grid operations is demand response (DR). DR attempts to optimize by altering the power consumption patterns. DR is an integrated tool of the smart grid. FERC Order No. 2222 caters for distributed energy resources, including demand response resources, …
Data-Driven Distributed Modeling, Operation, And Control Of Electric Power Distribution Systems,
2022
Clemson University
Data-Driven Distributed Modeling, Operation, And Control Of Electric Power Distribution Systems, Hasala Dharmawardena
All Dissertations
The power distribution system is disorderly in design and implementation, chaotic in operation, large in scale, and complex in every way possible. Therefore, modeling, operating, and controlling the distribution system is incredibly challenging. It is required to find solutions to the multitude of challenges facing the distribution grid to transition towards a just and sustainable energy future for our society. The key to addressing distribution system challenges lies in unlocking the full potential of the distribution grid. The work in this dissertation is focused on finding methods to operate the distribution system in a reliable, cost-effective, and just manner.
In …
Controller Platform Design And Demonstration For An Electric Aircraft Propulsion Driv,
2022
University of Arkansas, Fayetteville
Controller Platform Design And Demonstration For An Electric Aircraft Propulsion Driv, Rosten Sweeting
Graduate Theses and Dissertations
With the growth in the aerospace industry there has been a trend to optimize the performance of an aircraft by reducing fuel consumption and operational cost. Recent advancements in the field of power electronics have pushed towards the concepts of hybrid electric aircraft also known as more electrical aircrafts. In this work, a custom controller board for an electric aircraft propulsion drive was designed to drive a permanent magnet synchronous motor. Design of the controller board required knowledge of the topology selection and power module selections. Simulations of the system were performed using MATLAB/Simulink to analyze the overall performance of …
Constraint-Aware, Scalable, And Efficient Algorithms For Multi-Chip Power Module Layout Optimization,
2022
University of Arkansas, Fayetteville
Constraint-Aware, Scalable, And Efficient Algorithms For Multi-Chip Power Module Layout Optimization, Imam Al Razi
Graduate Theses and Dissertations
Moving towards an electrified world requires ultra high-density power converters. Electric vehicles, electrified aerospace, data centers, etc. are just a few fields among wide application areas of power electronic systems, where high-density power converters are essential. As a critical part of these power converters, power semiconductor modules and their layout optimization has been identified as a crucial step in achieving the maximum performance and density for wide bandgap technologies (i.e., GaN and SiC). New packaging technologies are also introduced to produce reliable and efficient multichip power module (MCPM) designs to push the current limits. The complexity of the emerging MCPM …