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Articles 7861 - 7890 of 195926
Full-Text Articles in Engineering
Optimizing Aluminium 6061 Turning Using Kesambi Oil-Based Cutting Fluid And Response Surface Methodology To Reduce Surface Roughness, Ari Wahjudi, Raihan Baihaki, Khairul Anam
Optimizing Aluminium 6061 Turning Using Kesambi Oil-Based Cutting Fluid And Response Surface Methodology To Reduce Surface Roughness, Ari Wahjudi, Raihan Baihaki, Khairul Anam
Journal of Mechanical Engineering Science and Technology (JMEST)
This study investigates the viability of Kesambi oil (Schleichera oleosa) as an environmentally sustainable, bio-based cutting fluid to reduce surface roughness during the turning of Aluminium 6061. The study employs Response Surface Methodology in conjunction with a Central Composite Design to identify the optimal parameter combination. These methods were used to optimize two primary variables, including the composition of Kesambi oil and the depth of cut during machining. Surface roughness was measured using a surface roughness tester, and a comprehensive quadratic regression equation was analyzed to elucidate its characteristics. The best configuration, comprising 19.57% Kesambi oil and a cutting depth …
Finite Element Analysis Of The Construction Strength Of Semi-Submarine Glass-Bottom Catamaran, Berliana Ayarent Puteri, Aldias Bahatmaka, Widya Aryadi, Musdika Bagas Satria Putrananda, Christian Imanuel Hutagalung
Finite Element Analysis Of The Construction Strength Of Semi-Submarine Glass-Bottom Catamaran, Berliana Ayarent Puteri, Aldias Bahatmaka, Widya Aryadi, Musdika Bagas Satria Putrananda, Christian Imanuel Hutagalung
Journal of Mechanical Engineering Science and Technology (JMEST)
Indonesia's extraordinary marine tourism potential requires innovation in how to enjoy it. This study discusses the innovative design of a semi-submarine glass-bottom ship for the development of marine tourism in Indonesia, which allows tourists to enjoy the beauty of the underwater world safely and comfortably. This catamaran is designed with two hulls that provide high stability and optimal deck area for tourism needs. The study focuses on analyzing the ship's frame structure using the finite element analysis method, especially on using sandwich panels that combine wood and carbon fiber materials to achieve the optimal combination of structural strength, weight, and …
Steam Supply Evaluation For Carbon Capture And Storage In A Subcritical Coal-Fired Power Plant, Veri Hendrayawan, Anggit Raksajati, Sanggono Adisasmito, Firman Bagja Juangsa
Steam Supply Evaluation For Carbon Capture And Storage In A Subcritical Coal-Fired Power Plant, Veri Hendrayawan, Anggit Raksajati, Sanggono Adisasmito, Firman Bagja Juangsa
Journal of Mechanical Engineering Science and Technology (JMEST)
The aim of this study is to analyze the implementation of carbon capture and storage (CCS) in coal-fired power plants (CFPP) in Indonesia by determining the reboiler energy demand through steam source analysis. The study uses a representative 3×330 MW subcritical coal-fired power plant (CFPP), with an emission intensity of 1.02 tCO₂/MWh and flue gas CO₂ concentration of 13.8%. CCS modeling shows the reboiler requires about 2.9×10⁹ kJ/h energy, supplied by steam extracted from the plant’s steam cycle. A steam cycle model was developed to evaluate the impact of steam extraction. Potential tapping points analyzed include main steam, cold reheat, …
Harnessing The Role Of Carbon Black: A New Frontier For Energy-Density Supercapacitor Electrodes, Ana Yuli Komariyah, Ishmah Luthfiyah, Ida Vaeruza Albadi’Ah, Nasikhudin Nasikhudin, Worawat Meevasana, Markus Diantoro
Harnessing The Role Of Carbon Black: A New Frontier For Energy-Density Supercapacitor Electrodes, Ana Yuli Komariyah, Ishmah Luthfiyah, Ida Vaeruza Albadi’Ah, Nasikhudin Nasikhudin, Worawat Meevasana, Markus Diantoro
Journal of Mechanical Engineering Science and Technology (JMEST)
The performance of activated carbon (AC)-based supercapacitor electrodes is often limited by poor electrical conductivity, prompting interest in conductive additives such as carbon black (CB). This study explores the transformative potential of CB as a conductive additive in AC-based supercapacitor electrodes and systematically investigates CB mass loadings of 0%, 5%, 10%, 15%, and 20%, using styrene-butadiene rubber (SBR) as the binder. The findings in this study demonstrate that 10% CB is the optimal loading, offering a balanced performance in terms of structure, morphology, and capacitance. X-ray diffraction (XRD) analysis reveals a distinct structural evolution at 10% CB, characterized by the …
Surface Analysis Of Bacterial Cellulose Membrane Made From Biowaste Added With Zno Nanopowder, Naufal Rizky Amasda, Heru Suryanto, Uun Yanuhar, Aminnudin Aminnudin, Fajar Nusantara, Quota Alief Sias
Surface Analysis Of Bacterial Cellulose Membrane Made From Biowaste Added With Zno Nanopowder, Naufal Rizky Amasda, Heru Suryanto, Uun Yanuhar, Aminnudin Aminnudin, Fajar Nusantara, Quota Alief Sias
Journal of Mechanical Engineering Science and Technology (JMEST)
Utilization of pineapple biowaste is important to increase the value added to biowaste and solve the environmental problem. So, the study objective is to synthesize membranes of bacterial cellulose made from pineapple biowaste and characterize the surface morphology and porosity of the membrane after being added with ZnO nanopowder. The study starts with extracting biowaste as a bacterial cellulose culture medium for the fermentation process. The obtained pellicle was crushed and homogenized with the added ZnO nanopowder in the presence of ultrasonic waves. The membrane is dried in the oven. The membrane morphology was monitored using scanning electron microscope and …
Simulation Of Magnet Thickness And Angle Of Attack On Magnetic Force For Magnetic Turbine Design, Eka Pratama, Wirawan Wirawan
Simulation Of Magnet Thickness And Angle Of Attack On Magnetic Force For Magnetic Turbine Design, Eka Pratama, Wirawan Wirawan
Journal of Mechanical Engineering Science and Technology (JMEST)
Electric motors play a vital role across various industries. As their electricity demand grows, improving efficiency has become a priority. One area of innovation involves the use of magnetic strips for improving performance. This study aims to determine the magnet thickness and the angle of attack position in producing the strongest repulsive force in the magnetic turbine. The study used a simulation using SOLIDWORKS and EMS software, applying neodymium N52 magnets with varying sizes and angles of attack. The results indicate that the most efficient magnetic turbine configuration utilizes rotor and stator magnets with dimensions of Ø10 × 20 mm …
Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker
Wireless Sensor Networks In Renewable Energy Monitoring: A Comprehensive Survey Of Protocols And Applications, Atheer Yousif Oudah, Lina M. Shaker
AUIQ Technical Engineering Science
The global shift to sustainable energy has heightened the demand for smart, robust, and efficient monitoring systems. Wireless Sensor Networks (WSNs) play a key role by enabling real-time data collection, decentralized control, and flexible communication in renewable energy applications. This review presents a comprehensive analysis of WSN architectures, routing protocols, and deployment strategies tailored to photovoltaic (PV) arrays, wind energy systems, hydroelectric plants, and smart microgrids. Core operational challenges are examined through a critical evaluation of energy-aware routing protocols including LEACH, PEGASIS, TEEN, ZRP, and advanced variants like EE-OLEACH and PT-Hybrid. Real-world applications, such as offshore wind farms, rooftop PV …
Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido
Comparative Analysis Of Linear And Non-Linear Feature Selection For Breast Cancer Detection With Shap Analysis, Hamza Sabo Maccido
AUIQ Technical Engineering Science
Breast cancer remains one of the leading causes of mortality worldwide, emphasizing the critical need for accurate and efficient diagnostic tools. This study investigates the effectiveness of combining linear and non-linear feature selection methods-Principal Component Analysis (PCA), Pearson Correlation Coefficient (PCC), and Backpropagation Neural Networks (BNN) to improve breast cancer classification using machine learning models. We utilized the Wisconsin Breast Cancer Dataset to evaluate the performance of five classifiers-Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression (LR), Decision Tree (DT), Naïve Bayes (NB) and Artificial Neural Network (ANN). The results demonstrated that BNN-selected features consistently outperformed PCA and PCC …
Retracted: Dynamics And Stability Analysis Of 8-Dimensional Hyperchaotic Systems: Study Of Lyapunov Exponents, Abdulsattar Abdullah Hamad, Nida Muhsin Ali, Muayyad Mahmood Khalil
Retracted: Dynamics And Stability Analysis Of 8-Dimensional Hyperchaotic Systems: Study Of Lyapunov Exponents, Abdulsattar Abdullah Hamad, Nida Muhsin Ali, Muayyad Mahmood Khalil
Iraqi Journal for Computer Science and Mathematics
This research explores the complex dynamics of an 8D hyperchaotic system, focusing on its trajectory stability and behavior under various control parameters. By using numerical simulations, we investigate the relationship between the Lyapunov components and the stability of the system. It provides a quantitative measure of the chaos within the model of the matrix, whose derivation consists of the system's sensitivity to perturbation, simulating chaotic systems in high dimensions faces challenges such as high computational resource demands. Difficulty in ensuring numerical convergence and stability. The results highlight the profound impact of control parameters on the dynamic behavior of hyperchaotic systems. …
Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng
Corneal Elevation Maps Patterns Classification Using Correlation Method, Sura M. Ahmed, Nebras H. Ghaeb, Salman Yussof, Noor T. Al-Sharify, Husam Yahya Nser, Zainab T. Al-Sharify, Ong Hang See, Leong Yeng Weng
Iraqi Journal for Computer Science and Mathematics
The ophthalmologist uses various techniques to diagnose corneal abnormalities, including corneal topography and tomography devices. Currently generated color corneal elevation surface maps from topographic imaging devices are essential for detecting ocular diseases, while accurately classifying these maps to differentiate between different shapes remains an issue. This study aims to assess and compare parameters of the front and back corneal surface elevation map patterns of normal/abnormal corneas. Two hundred cases were randomly taken (100 normal and 100 abnormal) with a single normal reference image, and then an additional 25 cases were added later for the optimization process. The preprocessing of all …
Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury
Retracted: Comparative Study Based On Continuous Analysis Of Autism Spectrum Disorder Using Advanced Deep Learning With Model Interpretability Insights, Ayan Sar, Hussain Falih Mahdi, Sumit Aich, Pranav Singh, Tanupriya Choudhury
Iraqi Journal for Computer Science and Mathematics
Hysterical conversion has similar cognition and behaviours to those in the case of ASD; it is, therefore, complex when diagnosing and classifying the condition. The majority of employed diagnostic tests are cross-sectional and fail to describe the developmental and clinical features of ASD; for this reason, they are pretty inaccurate in the diagnosis of ASD and thus cause disparities in the efficiency of the therapeutic interventions used. The present study's research contribution is a new application of deep learning that aims to analyse the spectrum of ASD with gradient-based classifications. In this case, we use a DL model trained on …
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2019, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2019, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2019 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2015 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2018 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2015 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2016, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2016, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2016 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2017, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2017, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2017 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2020 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2016, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2016, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2016 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2020 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2013, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2013, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2013 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2014, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2014, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2014 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2018, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2018 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2021, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2021, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2021 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2022, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Fixed-Tilt Systems In The U.S. Eastern Interconnection For Weather Year 2022, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Using 2022 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata.
Network Intelligence For Next-Generation Wireless Networks: Advancing Distribution And Coordination, Yonatan Melese Worku
Network Intelligence For Next-Generation Wireless Networks: Advancing Distribution And Coordination, Yonatan Melese Worku
Electrical and Computer Engineering ETDs
Next-generation wireless networks, encompassing 6G and beyond, face rigorous demands for ultra-low latency, ubiquitous connectivity, exceptionally high data rates, and robust security, necessitating innovative approaches to resource optimization and network protection. This dissertation proposes a pioneering framework that synergizes advanced methodologies—deep reinforcement learning, deep learning, blockchain, and multi-agent systems—to address these challenges. Distributed architectures, underpinned by AI-driven multi-agent systems, form the backbone of this framework, enabling seamless integration and intelligent orchestration across diverse domains. The research advances IoT-based systems leveraging machine learning for resource efficiency in healthcare applications, develops reinforcement learning-driven frameworks to optimize energy and coverage for Unmanned Aerial …
Optimization And Acceleration Of Puf Design Through Reduced Order Standard Cell Modeling, Ian Z. Wilcox
Optimization And Acceleration Of Puf Design Through Reduced Order Standard Cell Modeling, Ian Z. Wilcox
Electrical and Computer Engineering ETDs
Application Specific Integrated Circuit (ASIC) designs continue to scale with ever increasing complexity and device counts in the billions. Demand for scalable high-fidelity simulations of these systems drives the need for the development of novel modeling capabilities. This research formulates a non-intrusive model order reduc-tion (MOR) framework, called PUF-ROMS, to accelerate and optimize the design and analysis of physical unclonable functions (PUFs) on ASICs. The primary goals of PUF-ROMS are to estimate entropy and temperature-voltage noise (TV-noise) of circuit structures used in the design in an accelerated evaluation environment to enable designers to explore architecture options with the goal of …
Improving Infiltration Model Performance In Arid And Urban Regions, Samuel Stephen Coulter
Improving Infiltration Model Performance In Arid And Urban Regions, Samuel Stephen Coulter
Civil Engineering ETDs
Flooding in arid regions is infrequent but damaging and limited historical data makes flood modeling an important tool for flood infrastructure design. This study improves flood modeling guidance by using plot-scale tests to determine the impact of slope, compaction, gravel mulch and landscape fabric on infiltration and runoff rates in sandy soil types. This data will be used as guidance for the linear and constant model. The performance of this model was compared with the curve number model for a hypothetical 100-year design storm. Results showed that gravel mulch increased infiltration rates by 66% and reduced erosion on steep and …
Finite Element Investigation Of Blast Load Responses In Nuclear Power Plant Containment Structures, Janak Raj Awasthi
Finite Element Investigation Of Blast Load Responses In Nuclear Power Plant Containment Structures, Janak Raj Awasthi
Civil Engineering ETDs
Some significant incidents like the Chernobyl disaster (1986), the Fukushima Daiichi hydrogen explosion (2011), and some frequent military and terror threats to the nuclear Power plant structures have led to studying the capacity of power plant structures to withstand blast loadings. From this research, even one-third of the loss of the coolant is enough to damage the power plant structure. Crack starts from the wall and propagates toward the top of the dome and the foundation. The external blast shows high damage symptoms near the foundation area. Most of the steel members, including the rebars, Liner, and Tendons, showed high …
Understanding The Metallic And Oxide Phases In Platinum-Based Bimetallic Heterogeneous Catalysts After High-Temperature Oxidation, Stephen John Porter Jr
Understanding The Metallic And Oxide Phases In Platinum-Based Bimetallic Heterogeneous Catalysts After High-Temperature Oxidation, Stephen John Porter Jr
Nanoscience and Microsystems ETDs
Platinum (Pt) and palladium (Pd) are critical components in diesel emission control systems, enabling the conversion of harmful pollutants under demanding conditions. However, Pt’s effectiveness is hindered by sintering under high-temperature oxidizing environments. This dissertation investigates how Pt and Pd evolve under oxidizing conditions at 800°C, highlighting their distinct thermodynamic behaviors and interactions. Using TEM, EDS, EELS, XRF, XRD, and EXAFS, we show that Pd suppresses Pt sintering by reducing the volatility of PtO₂, leading to the formation of stable particles. Both Pt and Pd are present in metallic and oxide states, forming biphasic 'Janus' particles with conjoined metal and …