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Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 27, 2024
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Data of PV panel attached on building
To use these files, please read the "Readme" file and the following items:
There are seven files, six of which are ".xlsx" and the last one is ".m".
1. Code_building_2: This file contains the code base for data analysis, making and plotting mathematical models using Mathlab softwa...
Alvarez, L. University of Illinois
Oct 12, 2020
8 Resources
0 Stars
In progress
8 Resources
0 Stars
In progress
WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This data was prepared by 3TIER ...
Draxl, C. and Mathias-Hodge, B. National Renewable Energy Laboratory
Oct 17, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Visualization Encoding Experiments for Power Systems Analysis
Through a human factors study, we evaluated the use of contour and glyph visualizations for two modern power systems models: an urban distribution model and a large-scale transmission model. This dataset provides model data and scripts for recreating the power flow data and visual...
Gruchalla, K. et al National Renewable Energy Laboratory
Oct 26, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Utility-Scale Solar, 2025 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Lawrence Berkeley National Laboratory compiled and synthesized empirical data on the U.S. utility-scale solar sector. Utility-scale solar is defined here to include ground-mounted systems larger than 5MW-AC. Smaller projects are covered in Berkeley Lab's separate U.S. Distributed ...
Seel, J. et al Lawrence Berkeley National Lab
Sep 25, 2025
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
United States Land-based Wind Supply Curves 2023
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
Publicly accessible
United States Utility-Scale PV Supply Curves 2023
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCO...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
1 Stars
Publicly accessible
13 Resources
1 Stars
Publicly accessible
United States Land-based Wind Supply Curves 2024
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...
Geospatial Data Science, N. National Renewable Energy Laboratory
Jan 01, 2025
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
United States Utility-Scale PV Supply Curves 2024
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCO...
Geospatial Data Science, N. National Renewable Energy Laboratory
Jan 01, 2025
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
2019 Distribution System Upgrade Unit Cost Database Current Version
IMPORTANT NOTE: This is the current version of NREL's Distribution System Unit cost Database and should be considered the most up-to-date. Compared to the previous version (https://data.nlr.gov/submissions/77) this database has additional data points and has been modified for impr...
Horowitz, K. National Renewable Energy Laboratory
Jan 02, 2019
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Life Cycle Emissions Factors for Electricity Generation Technologies
This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion batt...
Nicholson, S. and Heath, G. National Renewable Energy Laboratory
Aug 23, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
0 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
9 Resources
0 Stars
Publicly accessible
National Occupational Estimates 2023
This dataset provides occupational staffing patterns and proportional estimates across sub-sectors tracked by the US Energy Employment Report (USEER), including Advanced Natural Gas, Bioenergy, CHP, Coal, Geothermal, Land-Based Wind, Low-Impact Hydro, Natural Gas, Nuclear, Oil, Of...
Wegner Guilfoyle, K. National Laboratory of the Rockies (NLR)
Apr 13, 2026
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Event-correlated Outage Dataset in America
This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report ...
She, B. et al Pacific Northwest National Laboratory
Oct 01, 2024
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
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
5 Resources
2 Stars
Publicly accessible
2021 Alaska Energy Statistics Workbook
Annual data for Alaska on electric generation capacity, net generation, fuel use, sales, customers, and revenues. Covers all Alaska certificated electric utilities and most other generators. Combines data from EIA forms 923, 860, 861, and 861S with data from Alaska?s Power Cost Eq...
McMahon, N. et al University of Alaska Fairbanks
Aug 25, 2023
2 Resources
0 Stars
In progress
2 Resources
0 Stars
In progress
Dynamically Downscaled Hourly Future Weather Data with 12-km Resolution Covering Most of North America
This is an hourly future weather dataset for energy modeling applications. The dataset is primarily based on the output of a regional climate model (RCM), i.e., the Weather Research and Forecasting (WRF) model version 3.3.1. The WRF simulations are driven by the output of a genera...
Zeng, Z. et al Argonne National Laboratory
Oct 03, 2023
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Solar Radiation Monitoring Station (SoRMS): Humboldt State University, Arcata, California (Data)
A partnership with HSU and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal irradia...
Wilcox, S. and Andreas, A. National Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Electrification Futures Study Supply-Side Scenarios Report Figure Data
The file includes the data for figures in the Electrification Futures Study Supply-Side Scenarios report. Additional information on the data can be found in the report: Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson, and Ryan Jones. 2021. Electr...
Murphy, C. et al Strategic Energy Analysis Center
Jan 20, 2021
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Natural Energy Laboratory of Hawaii Authority (NELHA): Hawaii Ocean Science & Technology Park, Kailua-Kona, Hawaii
A partnership with the Natural Energy Laboratory of Hawaii Authority and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal ...
Andreas, A. and Olson, K. National Renewable Energy Laboratory
Jan 19, 2016
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
2024 Standard Scenarios: A U.S. Electricity Sector Outlook
This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050.
These files contain modeled projections of the future. Although we strive to capture relevant p...
Gagnon, P. et al National Renewable Energy Laboratory (NREL)
Dec 30, 2024
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Energy Use and Water Consumption at University of Texas at Austin
Provides annual energy usage for years 1989 through 2022 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2022.
Steam, chilled water, and electricity are generated on the main camp...
Management, U. The University of Texas at Austin
Jul 29, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies
Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...
Hand, M. et al National Renewable Energy Laboratory
Aug 21, 2017
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Sacramento Municipal Utility District (SMUD): Rotating Shadowband Radiometer (RSR); Anatolia Rancho Cordova, California (Data)
A partnership with industry and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global horizontal, direct normal, and diffuse horizontal i...
Maxey, C. and Andreas, A. National Renewable Energy Laboratory
Dec 17, 2014
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible