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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents
Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.
Stanley, . et al National Renewable Energy Laboratory
Aug 10, 2021
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1 Resources
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Modeled Electricity Demand Profiles for Federal, State, and Municipal Electric Vehicle Fleets in the United States
Federal, state, and municipal electric vehicle fleet hourly load datasets at the Uber H3 hex, county, and city resolutions, as described in Singer et al. (2025).Please cite as:Singer, Mark, Cabell Hodge, Kara Podkaminer, and Brennan Borlaug. 2025. Initial Estimate of Electricity D...
Singer, . et al National Renewable Energy Laboratory
Jan 16, 2025
2 Resources
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2 Resources
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Weatherization Assistance Program and Low Income Home Energy Assistance Program for Solar Survey Responses and Plan
This data contains the results of surveys given to Low Income Home Energy Assistance Program (LIHEAP)/Weatherization Assistance Program (WAP) administrators in 2022, 2023, and 2024, as well as spreadsheets coding states' annual LIHEAP and WAP plans from 2021, 2022, and 2023 for me...
Cook, . et al National Renewable Energy Laboratory
Mar 06, 2024
2 Resources
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2 Resources
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Industrial Process Heat Demand Characterization
This data set is an expansion of the facility-level process heat survey conducted by McMillan et al. 2015 https//doi.org/10.2172/1334495. Using the same methodology annual facility combustion energy use was calculated from emissions data reported to U.S. Environmental Protection A...
McMillan and RuthNational Renewable Energy Laboratory
Jul 05, 2018
1 Resources
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1 Resources
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Sun Spot One (SS1): San Luis Valley, Colorado (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...
Stoffel and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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2 Resources
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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. Ele...
Murphy, . et al Strategic Energy Analysis Center
Jan 20, 2021
1 Resources
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1 Resources
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Quantifying and Monetizing Renewable Energy Resiliency
As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.
Lisell, . et al National Renewable Energy Laboratory
Mar 13, 2018
3 Resources
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3 Resources
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Duke Energy Carbon-Free Resource Integration Study
Supporting data for the Phase 2 of the Duke Energy Carbon-Free Resource Integration Study, which studied pathways to meeting emissions reduction targets in the Carolinas. The data sets include results from two modeling components of the study: capacity expansion modeling using ReE...
Sergi, . et al National Renewable Energy Laboratory
Aug 10, 2022
1 Resources
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Solar Futures Study Databook
The Solar Futures Study explores pathways for solar energy to drive deep decarbonization of the U.S. electric grid and considers how further electrification could decarbonize the broader energy system. This workbook contains data behind most figures in the U.S. Department of ...
MargolisNational Renewable Energy Laboratory
Oct 27, 2021
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U.S. Solar Photovoltaic BESS System Cost Benchmark Q1 2020 Report
NREL has been modeling U.S. solar photovoltaic (PV) system costs since 2009. This year, our report benchmarks costs of U.S. PV for residential, commercial, and utility-scale systems, with and without storage, built in the first quarter of 2020 (Q1 2020). The methodology includes b...
Feldman, . et al National Renewable Energy Laboratory
Jan 26, 2021
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Behind-the-Meter Storage Policy Stack
A variety of studies and disparate data sets track state energy storage policies, but these datasets do not cover all BTM-related storage policy. Moreover, these databases do not align policies with the policy stacking framework. Thus, it is unclear which BTM storage policies are ...
Cook, . et al National Renewable Energy Laboratory
Aug 09, 2022
1 Resources
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ResStock Communities Local Energy Action Program (Communities LEAP) Pilot Residential Housing Analysis
Data is associated with Report "ResStock Communities LEAP Pilot Residential Housing Analysis Detailed Methodology" by Lixi Liu, Jes Brossman, Yingli Lou technical report number NREL/TP-5500-88058. Results outline the potential impacts of the energy efficiency and electrification r...
Liu, . et al National Renewable Energy Laboratory
Nov 28, 2023
11 Resources
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11 Resources
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PV_window_building_study
Data associated with the paper “Photovoltaic Windows to Offset the Intensive Energy and Carbon Footprints of Highly Glazed Buildings” by Vincent M. Wheeler, Janghyun Kim, Tom Daligault, Bryan Rosales, Chaiwat Engtrakul, Robert C. Tenent, and Lance M. Wheeler
WheelerNational Renewable Energy Laboratory
Oct 23, 2022
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University of Oregon: GPS-based Precipitable Water Vapor (PWV)
A partnership with the University of Oregon and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect Precipitable Water Vapor (PWV) data to compliment existing resource assessment data collection by the university.
Andreas and VignolaNational Renewable Energy Laboratory
Jan 19, 2016
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Socioeconomic Data for the Permian Basin
This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health & Wellbeing, Jobs & Wor...
RossNational Renewable Energy Laboratory
May 16, 2024
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Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems
The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed ...
Zhou, . et al National Renewable Energy Laboratory
Jan 12, 2021
36 Resources
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36 Resources
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National Summary Statistics for Depot-Based Medium and Heavy-Duty Vehicle Operations
This file provides nationally aggregated summary statistics to characterize the daily operations of medium and heavy duty vehicles. It provides typical daily driving distances, domicile dwell durations, and one version of potential normalized electric vehicle depot charging load c...
Bruchon, . et al National Renewable Energy Laboratory
Feb 27, 2024
2 Resources
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Maximum demand charge rates for commercial and industrial electricity tariffs in the United States
NREL has assembled a list of U.S. retail electricity tariffs and their associated demand charge rates for the Commercial and Industrial sectors. The data was obtained from the Utility Rate Database. Keep the following information in mind when interpreting the data:
(1) These data...
McLaren, . et al National Renewable Energy Laboratory
Sep 19, 2017
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Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2015 Edition
This is the fourth edition in an annual briefing prepared jointly by LBNL and NREL intended to provide a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States. The briefing draws on several ongoing research activities at t...
Feldman, . et al National Renewable Energy Laboratory
May 12, 2016
1 Resources
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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 and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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University of Texas Panamerican (UTPA): Solar Radiation Lab (SRL); Edinburg, Texas (Data)
This measurement station monitors global horizontal, direct normal, and diffuse horizontal irradiance to define the amount of solar energy that hits this particular location.
Ramos and AndreasNational Renewable Energy Laboratory
Dec 17, 2014
2 Resources
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Distributed PV Permitting Survey Responses
In 2019, NREL, in partnership with the Solar Energy Industries Association, developed a survey for PV installers on their experiences with delays and cancelations in the adoption process, including the impacts of permitting and interconnection. This dataset includes the anonymized...
Cook and CruceNational Renewable Energy Laboratory
Mar 31, 2021
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Bifacial Vertical Testbed and Ground Irradiance Data in Golden, Colorado
This data was collected for Tonita et al., “Vertical bifacial photovoltaic system model validation: study with field data, various orientations, and latitudes,” for validation of optical models for vertically-oriented photovoltaics under high albedo. Ground irradiance data for...
Ovaitt, . et al National Renewable Energy Laboratory
Dec 06, 2024
3 Resources
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Big Box Retail Grocery Store and Electric Vehicle Station Load Profiles
This dataset includes yearlong, one-minute resolution time series profiles for the big box retail grocery stores stores simulated in Phoenix, Houston, Denver, and Minneapolis, as well as electric vehicle charging time series profiles for the various ports, charging levels, and sta...
Gilleran, . et al National Renewable Energy Laboratory
Oct 22, 2021
3 Resources
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3 Resources
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U.S. Voluntary Green Power Market Data 2017
This data book provides certain data behind figures and tables found in the NREL report Status and Trends in the U.S. Voluntary Green Power Market 2017 Data. These data reflect estimates based on the best available data.
O'Shaughnessy, . et al National Renewable Energy Laboratory
Oct 01, 2018
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