Power and Energy Commons^™

Supperlattice-Like Structure: Ordered Mass Transfer Endowing High Quality Output Of Fuel Cell, Jian Wang, Wen-Hui Xuan, Qian He, Jing-Xia Jiang, Yuan-Yuan Zhou, Yao Nie, Qiang Liao, Min-Hua Shao, Wei Ding, Zi-Dong Wei

Journal of Electrochemistry

The current or voltage fluctuation in fuel cell operation is harmful to the fuel cell system and power application equipment. Here, we report a technique to eliminate such a fluctuation by the aid of new type of catalysts, superlattice-like mesoporous PtCo catalysts. The current fluctuation in fuel cells catalyzed by two invented catalysts are fixed at as low as 25 mA·cm⁻² with a power of 0.75 W·cm⁻² or 120 mA·cm⁻² with a power of 1.01 W·cm⁻², and no noticeable current decay was detected over 100 h. By contrast, a …

Aiot-Based Smart Home Energy Management System, Mohammad Abdellatif, Ahmed K. Salama

Electrical Engineering

Artificial Intelligence of Things (AIoT) is a relatively new technology that combines Artificial Intelligence and Internet of Things. IoT devices can be integrated into large-scale systems for many modern applications. This results in a large amount of collected data, which needs efficient, and intelligent data processing for optimal use. Data can be processed and utilized for problem solving, decision making, and data prediction using AI. AI can increase the value of IoT, while IoT can improve AI's intel-ligence and learning. However, there are many obstacles to AIoT implementation such as complexity, precision, and efficiency. This study focuses on AI-powered IoT …

Senior Design Project - Ev Charger And Distributed Energy Resources, Eric Iliyev, Mostafa Younes, Abanoub Said, Carlos Figueroa, Ahmed Mohamed

Open Educational Resources

No abstract provided.

Data-Driven Nonparametric Joint Chance-Constrained Programming For Power Systems Scheduling, Chutian Wu

LSU Doctoral Dissertations

This dissertation is dedicated to implementing data-driven nonparametric joint chance constraints (JCC) to power system optimization problems. Power generated by renewable sources, such as solar farms, is an uncertain parameter. Several approaches solve optimization under uncertainty, including stochastic programming, robust programming, and chance-constrained programming. Uncertain parameters may not belong to any parametric class of probability functions. Thus, methods that consider such uncertainty as a random variable that fits in a known probability density function (PDF) have limitations. This study focuses on chance-constrained programming under nonparametric or data-driven distributionally robust uncertainty settings.

Studies based on chance-constrained programming usually focus on individual …

Influence Of Synthesis Conditions On The Physicochemical And Electrocatalytic Properties Of Non-Stoichiometric Ba2sr2la2ti4o12 Perovskites, Ofeliya Kostadinova, Iliyan Popov, Simeon M. Stankov, Hristo Kolev, Tamara Petkov

Karbala International Journal of Modern Science

Present work studies the influence of the pretreatment milling media (deionized water (BLTOS-H) and isopropanol (BLTOS-i)) on the surface characteristics, structure, chemical composition and catalytic activity of non-stoichiometric Ba2Sr2La2Ti4O12 perovskites. The IR spectroscopy and XRD analyses shows a difference in the structure and phase composition of the two materials. X-ray photoelectron spectroscopy detects a Ba2+- and La3+-enriched and Sr2+-depleted surface. The BLTOS-i sample appears to exhibit higher specific surface area (SSA) and pore volume in comparison to BLTOS-H. The electrochemical tests showed that BLTOS-H sample have similar behavior to platinum at current densi-ties up to 10 mA cm-2, while BLTOS-i …

Power System Dynamic Control And Performance Improvement Based On Reinforcement Learning, Wei Gao

Electronic Theses and Dissertations

This dissertation investigates the feasibility and effectiveness of using Reinforcement Learning (RL) techniques for power system dynamic control, particularly voltage and frequency control. The conventional control strategies used in power systems are complex and time-consuming due to the complicated high-order nonlinearities of the system. RL, which is a type of neural network-based technique, has shown promise in solving these complex problems by fitting any nonlinear system with the proper network structure.

The proposed RL algorithm, called Guided Surrogate Gradient-based Evolution Strategy (GSES) determines the weights of the policy (which generates the action for our control reference signal) without back-propagation process …

Merit Study Of Battery Or Hydrogen Energy Storage For Large Scale, Combined Wind And Solar Electricity Generation, Ashley K. Moore

Browse all Theses and Dissertations

In the past several years, the energy sector has experienced a rapid increase in renewable energy installations due to declining capital costs for wind turbines, solar panels, and batteries. Wind and solar electricity generation are intermittent in nature which must be considered in an economic analysis if a fair comparison is to be made between electricity supplied from renewables and electricity purchased from the grid. Energy storage reduces curtailment of wind and solar and minimizes electricity purchases from the grid by storing excess electricity and deploying the energy at times when demand exceeds the renewable energy supply. The objective of …

Optimal Management And Sizing For Battery Energy Storage Systems For Grid Applications, Abdullah Muslih Alharbi

Electronic Theses and Dissertations

Battery energy storage systems (BESSs) play a dominant role in the reliability, resiliency, economics, and operational flexibility of the power grid. As such, the BESS is a promising and reliable green technology for supporting power grid facilities. However, the integration of BESS technology into power projects can be expensive and challenging, both technologically and in terms of regulation compliance. Thus, it is necessary to examine best practices for fully optimizing BESS sizing, operation, and scheduling in the context of benefiting BESS operators and investors by fully exploiting the valuable economic and technical benefits of BESSs. In this research, we identify …

Developing A Standardized Gis Model Capable Of Identifying Areas To Implement Wind Power Generation Infrastructure, Namidu Vishwanath De Silva

All Graduate Theses, Dissertations, and Other Capstone Projects

This project involves the use of multi-source GIS data, suitability analysis, and spatial modeling techniques to identify the most suitable areas for improving renewable energy infrastructures, primarily focusing on wind energy, within a given region. Previous literature conducted on the subject matter shows research being done in isolated areas or states. The primary objective of this project is to develop a GIS model and scripting tool that has the capability to test any input region to find the most suitable area within the given region that would be ideal for implementing new wind power infrastructure. The success rate of the …

Decarbonization Analysis For Thermal Generation And Regionally Integrated Large-Scale Renewables Based On Minutely Optimal Dispatch With A Kentucky Case Study, Donovin Lewis, Aron Patrick, Evan S. Jones, Rosemary E. Alden, Abdullah Al Hadi, Malcolm D. Mcculloch, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Decarbonization of existing electricity generation portfolios with large-scale renewable resources, such as wind and solar photo-voltaic (PV) facilities, is important for a transition to a sustainable energy future. This paper proposes an ultra-fast optimization method for economic dispatch of firm thermal generation using high granularity, one minute resolution load, wind, and solar PV data to more accurately capture the effects of variable renewable energy (VRE). Load-generation imbalance and operational cost are minimized in a multi-objective clustered economic dispatch problem with various generation portfolios, realistic generator flexibility, and increasing levels of VRE integration. The economic feasibility of thermal dispatch scenarios is …

An Extended Generalized Average Modeling Framework For Power Converters, Kartikeya Jayadurga Prasad Veeramraju, Jacob A. Mueller, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

The Generalized Averaged Modeling (GAM) technique is traditionally employed to capture the dynamic performance of power electronic converters. This paper proposes an improved version of it, named the Extended-GAM (EGAM) technique, which supports the multiplication of two Double Fourier Series (DFS) signals in the time domain. Multiplication of DFS signals in the time domain translates to the 2D-convolution of coefficients of the DFS terms of their equivalent Discrete Fourier Image (DFI) representations. Thus, the proposed EGAM technique, capable of capturing many harmonics present in the output of a power converter, effectively captures the dynamic behavior of power converters excited by …

Multi-Layered Energy Management Framework For Extreme Fast Charging Stations Considering Demand Charges, Battery Degradation, And Forecast Uncertainties, Waqas Ur Rehman, Jonathan W. Kimball, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

To achieve a cost-effective and expeditious charging experience for extreme fast charging station (XFCS) owners and electric vehicle (EV) users, the optimal operation of XFCS is crucial. It is however challenging to simultaneously manage the profit from energy arbitrage, the cost of demand charges, and the degradation of a battery energy storage system (BESS) under uncertainties. This paper, therefore, proposes a multi-layered multi-time scale energy flow management framework for an XFCS by considering long- and short-term forecast uncertainties, monthly demand charges reduction, and BESS life degradation. In the proposed approach, an upper scheduling layer (USL) ensures the overall operation economy …

Bidirectional Asymmetric Clllc Resonant Dc-Dc Converter For Onboard Electric Vehicle Chargers, Angshuman Sharma, Alvaro Cardoza, Kartikeya J.P. Veeramraju, Oroghene Oboreh-Snapps, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

Bidirectional CLLLC resonant dc-dc converters with an asymmetric tank can narrow the switching frequency bandwidth required to meet the asymmetric voltage gains in the two directions of power flow. Consequently, higher power density and efficiency may be feasible. in this paper, a CLLLC resonant converter with asymmetric primary and secondary capacitances is investigated for charging and discharging the next-generation 900 V traction battery of an electric vehicle. First, a new voltage gain equation is formulated using the First Harmonic Approximation. Then, the proposed gain equation is used to design the asymmetric resonant tank. the effects of asymmetric capacitances on the …

Small Signal Stability Analysis Of Virtual Impedance Control In Islanded Microgrid, Oroghene Oboreh-Snapps, Kartikeya J.P. Veeramraju, Arnold Fernandes, Alvaro Cardoza, Angshuman Sharma, Jonathan Saelens, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

This paper examines the impact of virtual impedance control in an inverter-dominated microgrid (MG) system. the goal is to provide a clear understanding of Virtual Impedance (VI) control toward MG stability. This analysis is performed by developing the system's Small-Signal Model (SSM) and studying the poles' trajectory change when the system's key control parameters are varied. the results indicate that VI will benefit system stability when considering MG with low X/R while negatively affecting MG with high X/R. Also, there is a trade-off between the coupling impedance of the inverter and the VI parameters, which needs to be considered when …

Techno-Economic Analysis Of A Utility-Scale Solar Power Plant In Bhutan., Minjur

Cal Poly Humboldt theses and projects

Solar Photovoltaic (PV) technology, which captures energy from the sun, is a rapidly growing technology. Bhutan’s heavy dependence on a single energy source, hydropower, has become a significant concern for energy security. To address this, the Government of Bhutan intends to diversify energy sources using alternative renewable sources.

This research determined that Bhutan has the total potential to develop 3 gigawatts (GW) of solar power based on the utilization of about 7,100 acres of suitable land. The study also identified Tenchhekha, near the capital city of Thimphu, as a potential solar power plant location, with a capacity of 4.85 MWp …

Circulating And Eddy Current Losses In Coreless Axial Flux Pm Machine Stators With Pcb Windings, Yaser Chulaee, Donovin Lewis, Ali Mohammadi, Greg Heins, Dean Patterson, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Printed circuit board (PCB) stators in coreless axial flux permanent magnet (AFPM) machines have been proposed, designed, and studied for use in multiple industries due to their design flexibility and reduction of manufacturing costs, volume, and weight compared to conventional stators. This paper investigates mechanisms and methods of approximating open circuit losses in PCB stators within example wave and spiral winding topologies for a dual rotor, single stator configuration using 3D FEA, analytical hybrid techniques and experiments. The effect of rotor magnet shape, end winding, and active conductor geometry on eddy currents is studied, and some mitigation techniques are proposed. …

การประเมินการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตของเครื่องปรับอากาศแบบแยกส่วน และแนวทางการลดปริมาณก๊าซเรือนกระจก : กรณีศึกษาโรงงานผลิตเครื่องปรับอากาศแห่งหนึ่งในประเทศไทย, พิพัฒน์ พงษ์นาค

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้จัดทำขึ้นเพื่อวัตถุประสงค์ในการประเมินการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตของผลิตภัณฑ์เครื่องปรับอากาศแบบแยกส่วนชนิดติดผนังขนาดทำความเย็น 3.2 กิโลวัตต์ ซึ่งมีขอบเขตการประเมินตั้งแต่ การได้มาซึ่งวัตถุดิบ การขนส่งวัตถุดิบ กระบวนการผลิต กระจายสินค้า การใช้งาน การกำจัดซาก และแบ่งย่อยขอบเขตการประเมิน เป็น 2 รูปแบบ คือ กรณีใช้งานประเทศไทย และ กรณีใช้งานในทวีปยุโรป เพื่อเสนอมาตรการลดการปล่อยก๊าซเรือนกระจก และคำนวณศักยภาพการลดคาร์บอนฟุตพริ้นท์ของผลิตภัณฑ์ ผลการศึกษาพบว่าปริมาณการปล่อยก๊าซเรือนกระจกตลอดวัฏจักรชีวิตเครื่องปรับอากาศแบบแยกส่วนกรณีใช้งานในประเทศไทย เท่ากับ 13,643 kgCO2eq และผลลัพธ์ปริมาณการปล่อยก๊าซเรือนกระจกกรณีสถานการณ์ใช้งานในทวีปยุโรปเท่ากับ 10,289.63 kgCO2eq ต่อผลิตภัณฑ์ ซึ่งการปล่อยก๊าซเรือนกระจกในแต่ละขั้นตอนของผลิตภัณฑ์ทั้งประเทศไทยและทวีปยุโรปสอดคล้องไปทางเดียวกันคือ ขั้นตอนการใช้งานมีการปล่อยก๊าซเรือนกระจกมากที่สุด และปัจจัยหลักที่ค่าการปล่อยก๊าซเรือนกระจกกรณีใช้งานในทวีปยุโรปน้อยกว่าประเทศไทย เนื่องจากเทคโนโลยีและเชื้อเพลิงในการผลิตไฟฟ้า ซึ่งในทวีปยุโรปมีสัดส่วนการใช้พลังงานสะอาดเป็นสัดส่วนร้อยละ 56 ซึ่งมากกว่าประเทศไทยที่มีสัดส่วนร้อยละ 16 ในส่วนของมาตรการลดการปล่อยก๊าซเรือนกระจกสารนิพนธ์นี้นำเสนอมาตรการลดการปล่อยก๊าซเรือนกระจกที่แบ่งมาตรการเป็นสองด้านได้แก่ ด้านผู้ใช้งานและ ด้านผู้ผลิต โดยมาตรการด้านผู้ใช้งาน ได้แก่ (1) มาตรการการจัดการการใช้พลังงานอย่างมีประสิทธิภาพโดยใช้ Silent mode 4 ชั่วโมง/วัน (2) ใช้ระบบการจัดการพลังงานผ่านซอฟต์แวร์โดยลดใช้พลังงานลง 10 % ต่อปี (3) การไม่ทิ้งสารทำความเย็นสู่ชั้นบรรยากาศ ซึ่งหากดำเนินงานทั้ง 3 มาตรการด้านผู้ใช้งานสามารถลดก๊าซเรือนกระจกกรณีใช้งานในประเทศไทยได้ 3,946 kgCO2eq และกรณีใช้งานในทวีปยุโรป 3,366 kgCO2eq และมาตรการด้านผู้ผลิต ได้แก่ (1) การพัฒนาเครื่องปรับอากาศที่มีประสิทธิภาพการใช้พลังงานสูงขึ้น (2) การศึกษาพัฒนาเครื่องปรับอากาศให้ใช้สารทำความเย็นชนิด R290 (3) การนำสารทำความเย็นจากเครื่องเก่ามาใช้ใหม่โดยวิธีการ reclamation (Batch Distillation) (4) เพิ่มสัดส่วนการใช้ไฟฟ้าจากพลังงานสะอาดในการผลิตเครื่องปรับอากาศ ซึ่งหากดำเนินมาตรการลดก๊าซเรือนกระจกทั้ง 4 มาตรการด้านผู้ใช้ จะสามารถลดการปล่อยก๊าซเรือนกระจกในกรณีใช้งานในประเทศไทยเท่ากับ 2,943 kgCO2eq และกรณีใช้งานในทวีปยุโรปลดลงเท่ากับ 1,193 kgCO2eq

Electrode And Electrolyte Design To Develop Advanced Battery Technologies For Large Scale Energy Storage, Wei He

Electronic Theses and Dissertations

Large-scale energy storage devices play a key role in regulating the renewable energy to build a carbon-free sustainable future, but the widely used lithium-ion batteries cannot meet the demands because of the limited lithium resource and high cost. Thus, it is urgent to develop next-generation battery technologies with low cost and high safety. Sodium-ion battery is considered as a promising candidate due to the abundant sodium resources and low cost. Its practical application, however, is hindered by the absence of the advanced electrode materials. The tin-based anodes deliver high theoretical capacities and show great promise for the sodium-ion batteries, but …

Nitrogen Plasma Treatment On Triple Cation Mixed Halide Perovskite Surface For High Efficiency Perovskite Solar Cells, Buddhi Sagar Lamsal

Electronic Theses and Dissertations

No abstract provided.

Nio Nanoparticles-Decorated Carbon Fiber Cloth As Lithiophilic Host Material For Stable Lithium Metal Batteries, Sarwar Ahmed

Electronic Theses and Dissertations

Lithium metal is considered the Holy Grail for the anode for next-generation rechargeable batteries. Lithium metal has the highest theoretical capacity and lowest anode potential with respect to the standard hydrogen electrode (SHE). However, its commercialization is hindered by uncontrolled dendrite growth, weak solid electrolyte interphase (SEI), and low coulombic efficiency. The dendrite formation leads to a short circuit between the anode and cathode, which creates a dangerous safety issue. Several host materials and artificial SEI layers have been developed to suppress these issues. However, the effectiveness of these solutions is limited. More research is needed to develop more efficient …

Optimising Electric Vehicle Charging Infrastructure In Dublin Using Geecharge, Alexander Mutua Mutiso, Ruairí De Fréin, Ali Malik, Eliel Kibanza, Marco Sahbane, Maxime Pantel

Conference papers

Range anxiety poses a hurdle to the adoption of Electric Vehicles (EVs), as drivers worry about running out of charge without timely access to a Charging Point (CP). We present novel methods for optimising the distribution of CPs, namely, EV portacharge and GEECharge. These solutions distribute CPs in Dublin, in this paper, by considering the population density and Points Of Interest (POIs) or road traffic. The object of this paper is to (1) develop and evaluate methods to distribute CPs in Dublin city; (2) optimise CP allocation; (3) visualise paths in the graph network to show the most used roads …

การศึกษาเชิงเปรียบเทียบการตัดสินใจผลิตเองหรือจ้างผลิต: กรณีศึกษา ระบบพลังงานแสงอาทิตย์ในโรงงานชิ้นส่วนยานยนต์, เสาวลักษณ์ สระธรรม

Chulalongkorn University Theses and Dissertations (Chula ETD)

การวิจัยครั้งนี้มีวัตถุประสงค์ 1) เพื่อออกแบบระบบผลิตไฟฟ้าเซลล์แสงอาทิตย์แบบติดตั้งบนหลังคา และ 2) เพื่อเปรียบเทียบความคุ้มค่าของโครงการระหว่างการผลิตเองกับการจ้างผลิต กรณีศึกษาโรงงานชิ้นส่วนยานยนต์แห่งหนึ่งในจังหวัดระยอง ในการออกแบบติดตั้งจะวิเคราะห์จากโหลดโปรไฟล์ และพื้นที่ติดตั้งของโรงงาน ส่วนความคุ้มค่าของโครงการจะวิเคราะห์จากต้นทุนเฉลี่ยต่อหน่วยไฟฟ้าตลอดอายุโครงการของทั้งสองรูปแบบ แล้วนำมาเปรียบเทียบกัน ผลการวิจัยครั้งนี้ พบว่าโรงงานเหมาะจะติดตั้งระบบขนาด 329.84 กิโลวัตต์ และมีต้นทุนค่าไฟฟ้าเฉลี่ยต่อหน่วยแบบผลิตเอง และจ้างผลิต 2.91 บาทต่อหน่วย และ 3.11 บาทต่อหน่วย ตามลำดับ และในกรณีนี้หากต้นทุนแผงเซลล์แสงอาทิตย์เพิ่มขึ้นมากกว่าร้อยละ 21 หรือค่าไฟฟ้าผันแปรลดลงมากกว่าร้อยละ 66 หรืออัตราผลตอบแทนขั้นต่ำที่ยอมรับได้เพิ่มขึ้นตั้งแต่ร้อยละ 12 จะทำให้ต้นทุนเฉลี่ยต่อหน่วยไฟฟ้าตลอดอายุโครงการของการผลิตเองมากกว่าการจ้างผลิต ดังนั้นจึงควรเลือกดำเนินโครงการแบบจ้างผลิต ข้อเสนอแนะจะเห็นว่าต้นทุนเฉลี่ยต่อหน่วยไฟฟ้าตลอดอายุโครงการแบบผลิตเองถูกกว่าแบบจ้างผลิตประมาณ 5,324 บาทต่อเดือน ซึ่งไม่มากนักเทียบกับเงินลงทุนโครงการ ดังนั้นการเลือกตัดสินใจควรพิจารณาปัจจัยความเสี่ยงร่วมด้วย เนื่องจากระบบจำเป็นต้องมีความมั่นคงและความต่อเนื่อง ไม่ควรเกิดเหตุไฟฟ้าตก หรือไฟฟ้าดับ ซึ่งการจ้างผลิตจะได้ผู้เชี่ยวชาญในการติดตั้งและดูแลระบบมากกว่า และในงานวิจัยนี้ยังไม่ได้มีการศึกษาในส่วนนี้ ดังนั้นการศึกษาครั้งถัดไปควรพิจารณาปัจจัยความเสี่ยงของระบบ และมูลค่าความเสียหายที่อาจจะเกิดขึ้นจากความเสี่ยงต่างๆ ร่วมด้วย

A Review Of Piezoelectric Footwear Energy Harvesters: Principles, Methods, And Applications, Bingqi Zhao, Feng Qian, Alexander Hatfield, Lei Zuo, Tian-Bing Xu

Mechanical & Aerospace Engineering Faculty Publications

Over the last couple of decades, numerous piezoelectric footwear energy harvesters (PFEHs) have been reported in the literature. This paper reviews the principles, methods, and applications of PFEH technologies. First, the popular piezoelectric materials used and their properties for PEEHs are summarized. Then, the force interaction with the ground and dynamic energy distribution on the footprint as well as accelerations are analyzed and summarized to provide the baseline, constraints, potential, and limitations for PFEH design. Furthermore, the energy flow from human walking to the usable energy by the PFEHs and the methods to improve the energy conversion efficiency are presented. …

Design And Control Of A Dual Active Bridge Converter For Electric Vehicle (Ev) And Photovoltaic (Pv) Applications, Md Safayatullah

Electronic Theses and Dissertations, 2020-2023

With the growing concerns of climate change due to fossil fuel-based electricity generation, solar integration to the grid is swiftly increasing. However, the intermittency of solar power is a major obstacle to harness it efficiently. Energy storage system (ESS) with its declining price over the last few years is a viable solution to address this issue. Another source of greenhouse gas emission is fossil fuel-based transportation system which is likely to be replaced by electric vehicles (EVs) in near future. To match the driving range of EVs with the internal combustion engine-based vehicle, fast and extreme fast charging infrastructure in …

Examining Direct Load Control Within Demand Response Programs, Maria Bonina Zimath

Honors Undergraduate Theses

The power system is a complex entity with unique plant designs, control systems, and market strategies. For many years, engineers have developed advanced technology to keep the grid efficient and balanced. With the rise of renewable sources, some new technology and programs must be developed to keep the quality of the power system. Unlike traditional power plants, renewable energy is highly dependent on environmental factors, such as sunlight and wind, meaning the generation depends on an unpredictable source of fuel. As the grid moves to more sustainable sources, the power market faces a growing challenge of less control over the …

Running Shoe Pedometer, Benjamin Kasper

Williams Honors College, Honors Research Projects

Running shoe pedometer aims to solve the issue of worn out running shoes. It can be difficult to know just how many miles you have run in your shoes and when a new pair is needed. Running in old shoes and worn out shoes is heavily linked to injury. My proposed project is a device that is powered by the compressive forces on the shoes soles that counts the number of steps the wearer takes using a microcontroller. Then, when the shoe reaches milestone that indicate it has been used 75% 90% and 100% of its expected life, it will …

Life Cycle Assessment Of Air Classification As A Sulfur Mitigation Technology In Pine Residue Feedstocks, Ashlee Edmonson

Theses and Dissertations--Biosystems and Agricultural Engineering

Sulfur accumulation during biofuel production is pollutive, toxic to conversion catalysts, and causes the premature breakdown of processing equipment. Air classification is an effective preprocessing technology for ash and sulfur removal from biomass feedstocks. A life cycle assessment (LCA) sought to understand the environmental impacts of implementing air classification as a sulfur-mitigation technique for pine residues. Energy demand and material balance for preprocessing were simulated using SimaPro and the Argonne National Laboratory’s GREET model, specifically focusing on comparing the global warming potential (GWP) of grid electricity versus bioelectricity scenarios. Overall, the grid electricity scenario had a GWP impact over 7 …

Data-Driven Analysis And Visualization Of Energy Consumption Patterns In Academic Buildings Via Development Of Matlab Gui Tool: A Case Study At The City College Of New York From 2018-2022, Mazid Muhit

Dissertations and Theses

This case study investigates energy consumption patterns and peak periods within various buildings in the City College of New York (CCNY), aiming to foster the development of effective energy management strategies. The research develops a simple MATLAB graphical user interface (GUI) tool, designed to simplify the future replication of similar analyses using new datasets. Ten distinct CCNY buildings were examined, using data from 2018 to 2022, which includes Administration, Baskerville, ComptonGeothals-Basement, Harris, Marshak, Shepard, Steinmann, Wingate, NAC-Boiler-Room, and NAC-North-Side. The methodology entails processing original excel files to extract relevant data, followed by a comprehensive analysis within MATLAB. This involves generating …

Peer-To-Peer Energy Trading In Smart Residential Environment With User Behavioral Modeling, Ashutosh Timilsina

Theses and Dissertations--Computer Science

Electric power systems are transforming from a centralized unidirectional market to a decentralized open market. With this shift, the end-users have the possibility to actively participate in local energy exchanges, with or without the involvement of the main grid. Rapidly reducing prices for Renewable Energy Technologies (RETs), supported by their ease of installation and operation, with the facilitation of Electric Vehicles (EV) and Smart Grid (SG) technologies to make bidirectional flow of energy possible, has contributed to this changing landscape in the distribution side of the traditional power grid.

Trading energy among users in a decentralized fashion has been referred …

Dynamic Modeling Of Commercial-Off-The-Shelf Smart Inverters Using Power-Hardware-In-The-Loop, Bidur Poudel

Electronic Theses and Dissertations

Inverter-based generation is replacing synchronous-based generation in the power grid. In the past, due to the dominance of synchronous-based generation, inverter-based generation dynamics were typically under-modeled as they made little contribution to voltage and frequency control. Looking at the present context, several disturbances, like the Blue Cut Fire (CA), on August 16, 2016, the South Australian Blackout on September 28, 2016, and the Canyon Two Fire Disturbance (CA) on October 9, 2017, etc., are caused by the influence of converter-based resources. So, for converter-dominated power system stability analysis and control, the dynamics of an inverter-based system cannot be under-modeled. In …