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"geologic variability evaluation"×
Solar Power×

Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events....
Gunda, T. and Jackson, N. Sandia National Laboratories
Apr 01, 2021
2 Resources
0 Stars
Publicly accessible

TURKEY’S ENERGY FUTURE A LEAP SIMULATION AND ANALYSIS

A LEAP based analysis of the current energy system of Turkey, as well as four future scenarios, including evaluation and comparison of the effects of different policies on energy security, prices and emissions
Boudier, V. National Renewable Energy Laboratory
Jan 09, 2017
1 Resources
0 Stars
In curation

Oahu Solar Measurement Grid (1-Year Archive): 1-Second Solar Irradiance; Oahu, Hawaii (Data)

Seventeen measurement stations in the south western region of the island of Oahu collected data at 1-second intervals over the course of a year. The sensors are located in a 1-kilometer grid and the information then can be used to predict what PV outputs might be at 1-second inte...
Sengupta and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible

Single Axis Tracker Weather Data

This data set contains weather data pertinent to the Single Axis Tracker project conducted by Sandia National Laboratories with work performed at the Photovoltaic Systems Evaluation Laboratory (PSEL) in Albuquerque, New Mexico and at the The University of Oregon Solar Radiation Mo...
Zapotocky, C. and Riley, D. Sandia National Laboratories
May 14, 2025
0 Resources
0 Stars
In progress

Federal Energy Management Program

FEMP EISA 432 Compliance Tracking System (CTS) enables the public to analyze and generate custom reports of CTS facility level data. This data warehouse includes only non-restricted CTS data. The data warehouse consists of five data sets (or "data cubes") that may be used to build...
Temper, C. and (EERE), O. Office of Energy Efficiency & Renewable Energy
Nov 25, 2014
1 Resources
0 Stars
In curation

County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
2 Stars
Publicly accessible

2024 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Mar 25, 2025
9 Resources
0 Stars
Publicly accessible

Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)

This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems ...
Byford, B. et al Sandia National Laboratories
Dec 15, 2015
5 Resources
0 Stars
Publicly accessible

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...
Zeng, Z. et al Argonne National Laboratory
Jul 14, 2024
7 Resources
0 Stars
Publicly accessible
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