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Articles 7801 - 7830 of 197057
Full-Text Articles in Entire DC Network
Upcycling Waste To Wealth: Cuo-Sio₂/Reduced Graphene Nanocomposite From Pomegranate Peels For One-Pot Low-Temperature Conversion Of Waste Oils Into Valuable Fatty Acid Monomers, Attia Attia, Shahenda Mahran Dr., Maria Centeno Prof., Basudeb Saha
Upcycling Waste To Wealth: Cuo-Sio₂/Reduced Graphene Nanocomposite From Pomegranate Peels For One-Pot Low-Temperature Conversion Of Waste Oils Into Valuable Fatty Acid Monomers, Attia Attia, Shahenda Mahran Dr., Maria Centeno Prof., Basudeb Saha
Petroleum Engineering and Gas
and hence reduce the price of the fatty acid monomers. This study reports for the first time a novel, environmentally benign, highly active copper oxide-silica oxide/reduced graphene oxide (CuO-SiO2/RGO), heterogeneous nano-catalyst derived from waste pomegranate peels, for the one-pot, low-temperature synthesis of fatty acid monomers from high-acid-value waste vegetable oil (WVO). The synthesised nano-catalyst was extensively characterised using XRD, FT-IR, TEM, SEM, EDX and TGA-DTA. Further, it was utilised to synthesise fatty acidrich oleic phenoxypropyl acrylate (OPA) monomer from high acid value WVO via a single-step reaction.
Explaining Time Series Classifiers Through Post-Hoc Xai Methods Capturing Temporal Dependencies, Ephrem Tibebe Mekonnen
Explaining Time Series Classifiers Through Post-Hoc Xai Methods Capturing Temporal Dependencies, Ephrem Tibebe Mekonnen
Conference papers
Time series classification is essential in domains such as healthcare and finance, where accurate predictions can have significant real-world consequences. However, in many high-stakes applications, understanding why a model makes a certain decision is just as important as the prediction itself. While deep learning models excel at capturing complex temporal patterns, their black-box nature limits transparency, making it difficult to trust and interpret their decisions. Although eXplainable AI (XAI) methods have advanced considerably for image and tabular data, applying them to time series remains challenging due to the intricate temporal dependencies and high dimensionality of the data. Post-hoc model-agnostic XAI …
Free-Running Ring Oscillators For Crystal-Free Communication Systems: Design, Simulation Challenges, And Frequency Stability Improvements, Haziq Rohail
Dissertations and Theses
This thesis presents techniques for enhancing the frequency stability of ring oscillators (ROs) for crystal-free wireless communication systems. The first major contribution is a tutorial-style study of frequency stability metrics, providing clear definitions, conversions methods, and comparative analysis of commonly used figures of merit such as phase noise, Allan deviation, and jitter. The second contribution addresses the challenges of simulating phase noise in free-running ROs. Key techniques including Periodic Steady-State Noise (PNoise), Harmonic Balance Noise (HBNoise), and transient noise analysis are evaluated in terms of accuracy, convergence behavior, and simulation runtime. Based on these results, practical guidelines are offered for …
Assessing Solar Radiation Patterns In Sarawak Using Measured Data And The Hargreaves-Samani Model For Photovoltaic Systems Application, Chun Yong Soo, Xian Hwa Chan, Wan Mohamad Husni Wan Mokhtar, Ahmad Rujhan Mohd Rais
Assessing Solar Radiation Patterns In Sarawak Using Measured Data And The Hargreaves-Samani Model For Photovoltaic Systems Application, Chun Yong Soo, Xian Hwa Chan, Wan Mohamad Husni Wan Mokhtar, Ahmad Rujhan Mohd Rais
Makara Journal of Technology
This study evaluates the Hargreaves-Samani model for estimating solar radiation in five locations in Sarawak: Bintulu, Kapit, Sri Aman, Kuching, and Miri (Subis), using minimum and maximum temperatures as key inputs. Analysis reveals stable minimum temperatures (19.7 °C to 28.8 °C), supporting consistent solar radiation patterns favorable for Photovoltaic (PV) performance. Miri (Subis) recorded the highest daily maximum temperature of 44.8 °C, while Kuching had the lowest at 24.7 °C, highlighting significant regional climatic variability. Analysis also indicates strong solar potential in Bintulu, Kapit, Sri Aman, Kuching, and Miri, with radiation peaking at 7.5 kWh/m², though seasonal variations impact PV …
Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang
Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang
Makara Journal of Technology
This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the …
Computational Fluid Dynamics (Cfd) Modeling For Bio-Inspired Aerodynamic Optimization In Autonomous Drones, Hyginus C.O. Unegbu, Danjuma Saleh Yawas
Computational Fluid Dynamics (Cfd) Modeling For Bio-Inspired Aerodynamic Optimization In Autonomous Drones, Hyginus C.O. Unegbu, Danjuma Saleh Yawas
Makara Journal of Technology
This study explores the aerodynamic benefits of bio-inspired design modifications for autonomous drones using advanced Computational Fluid Dynamics (CFD) simulations. Four bio-inspired configurations—leading-edge serrations, winglets, riblet surfaces, and curved wings—were assessed and compared against a baseline drone model to evaluate their impact on aerodynamic performance. The results indicated that all bio-inspired designs significantly enhanced lift, reduced drag, and improved overall aerodynamic efficiency. The leading-edge serration configuration achieved the highest performance gains, with a 33.6% increase in maximum lift coefficient (CL) and a 29.5% improvement in lift-to-drag ratio (CL/CD), primarily due to delayed flow separation and reduced turbulence. Winglets minimized wingtip …
Impact Of Fault Resistance On The Performance Of Ann-Based Faults Classification In The Farm Of Pv Systems, Anwer Mahmood Fadhil, Omar Sharaf Al-Deen Al-Yozbaky
Impact Of Fault Resistance On The Performance Of Ann-Based Faults Classification In The Farm Of Pv Systems, Anwer Mahmood Fadhil, Omar Sharaf Al-Deen Al-Yozbaky
AUIQ Technical Engineering Science
This research provides an analytical study of the effect of fault resistance on the accuracy of fault classification in solar farms, with the aim of evaluating the performance of classification algorithms in realistic environments where the characteristics of electrical signals resulting from faults change. A model of a 290kW photovoltaic farm, consisting of 100 strings each containing 7 solar panels, was adopted, and the simulation was carried out using MATLAB/Simulink software. The study included different scenarios for electrical faults, such as line-to-ground (LG) and line-to-line (LL) failures, with the failure impedance changing from 0 to 500 ohms by a step …
Assessment Of The Thermal Performance Of Cables At Zummar Station, Considering The Impact Of Harmonics, Riyad Zaki Sabri Younis, Khaled Mohammed Othman
Assessment Of The Thermal Performance Of Cables At Zummar Station, Considering The Impact Of Harmonics, Riyad Zaki Sabri Younis, Khaled Mohammed Othman
AUIQ Technical Engineering Science
This study evaluates the thermal impact of harmonic distortion on underground power cables through a real-life case study conducted at the Zummar 33/11 kV substation. Field measurements indicated that the cable most exposed to thermal stress was the one supplying an industrial area, where a Total Harmonic Distortion (THD) level of 23.8% was recorded due to nonlinear loads. Numerical simulations were carried out using the Finite Element Method (FEM) to analyze the thermal performance of the cable system under different seasonal loading conditions. The results showed that harmonics not only increased the temperature of the affected cable but also indirectly …
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2018. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2018_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2014, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2014, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2014. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2014_PV_existing_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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2022. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2022_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2017, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2017, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2017. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2017_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2018. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2018_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2022. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2022_PV_existing_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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2021, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2021, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2021. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2021_PV_existing_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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Single-Axis Tracking 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 Single-Axis Tracking 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 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 Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2015, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2015, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2015. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2015_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2016, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2016, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2016. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2016_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2017, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2017, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2017. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2017_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2019, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2019, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2019. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2019_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2020, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2020, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2020. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2020_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2021, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2021, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2021. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2021_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2013, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2013, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2013. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2013_PV_existing_site_metadata.csv file for individual site metadata.
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2020, Shelbie Wickett, Ana Dyreson
Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2020, Shelbie Wickett, Ana Dyreson
Simulated Solar Capacity Including Snow Cover in the Eastern U.S.
Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2020. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2020_PV_existing_site_metadata.csv file for individual site metadata.