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Excavationless Exterior Foundation Insulation Field Study Minnesota

The NorthernSTAR Building America Partnership team implemented an innovative, minimally invasive foundation insulation upgrade technique on an existing home. The approach consisted of using hydrovac excavation technology combined with a liquid insulating foam. Two houses were orig...

Jacobson, R. et al University of Minnesota NorthernSTAR Building America Partnership

Apr 27, 2016
11 Resources
0 Stars
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Field Testing Unvented Roofs with Asphalt Shingles in Cold and Hot-humid Climates

BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Cold Climates Bolingbrook, IL 60440 BSC TO5 Task 7.1 Field Testing Unvented Roofs with Asphalt Shingles in Hot-Humid Climates Friendswood, TX 77546 To understand the long-term moisture performance of unvented ...

Ueno, K. and Lstiburek, J. Building Science Corporation

Apr 27, 2016
3 Resources
0 Stars
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Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Admin...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 15, 2024
7 Resources
0 Stars
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Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
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Low-Income Energy Affordability Data LEAD Tool 2018 Update

The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...

Ma, O. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

Jul 01, 2020
57 Resources
0 Stars
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Rooftop Energy Potential of Low Income Communities in America REPLICA

The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPL...

Mooney and SigrinNational Renewable Energy Laboratory

Apr 03, 2018
27 Resources
0 Stars
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Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands

This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...

Geospatial, N. National Renewable Energy Laboratory

Jan 01, 2025
28 Resources
0 Stars
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Low-Income Energy Affordability Data LEAD Tool 2022 Update

Ma, O. and Vimont, A. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

Aug 01, 2024
63 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 2

The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...

Elbert, S. et al Pacific Northwest National Laboratory

Sep 20, 2024
29 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 1

The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...

Elbert, S. et al Pacific Northwest National Laboratory

Aug 05, 2024
29 Resources
0 Stars
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Efficiency and Demand Flexibility in Large Office Buildings

Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_...

McLaren. . et al National Renewable Energy Laboratory

Jan 13, 2023
51 Resources
0 Stars
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Electric Technology Adoption and Energy Consumption

Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrificati...

Mai. . et al National Renewable Energy Laboratory

Jul 05, 2018
4 Resources
0 Stars
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2018 Industrial Energy Data Book

The Industrial Energy Data Book (IEDB) aggregates and synthesizes information on the trends in industrial energy use, energy prices, economic activity, and water use. The IEDB also estimates county-level industrial energy use and combustion energy use of large energy-using facilit...

McMillanNational Renewable Energy Laboratory

Nov 14, 2019
4 Resources
0 Stars
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End-Use Load Profiles for the U.S. Building Stock

The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, i...

Wilson, E. et al National Renewable Energy Laboratory (NREL)

Oct 14, 2021
8 Resources
2 Stars
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Electrification Futures Study Demand-side Scenarios report figure data

The file includes the data for figures in the Electrification Futures Study demand-side scenarios report. Additional information on the data can be found in the report.

Mai. . et al National Renewable Energy Laboratory

Jun 26, 2018
1 Resources
0 Stars
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The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017

The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a uni...

McMillan, C. et al National Renewable Energy Laboratory (NREL)

Jul 01, 2024
4 Resources
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Industrial Facility Combustion Energy Use

Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies ...

McMillanNational Renewable Energy Laboratory

Jul 19, 2016
2 Resources
0 Stars
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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 and OlsonNational Renewable Energy Laboratory

Jan 19, 2016
1 Resources
0 Stars
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Energy Appliance Data 2009-2010

Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...

Trade Commission, F. National Renewable Energy Laboratory

Jul 29, 2014
19 Resources
0 Stars
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SWA_Challenges_MF_ESMFNC_ZERH

This study completed by Steven Winter Associates documents the challenge that exist for existing multi family buildings to achieve Energy Star for new homes or Zero Energy Ready Home Certification.

Cindrich. . et al National Renewable Energy Laboratory

Jul 28, 2023
1 Resources
0 Stars
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DEPRECATED Sharing the Sun Community Solar Project Data (December 2021)

This data set is no longer current – The most current data and all historical data sets can be found at https://data.nrel.gov/submissions/244 This database represents a list of community solar projects identified through various sources as of Dec 2021. The list has been revi...

Chan. . et al National Renewable Energy Laboratory

Feb 09, 2022
1 Resources
0 Stars
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Renewable Electricity Futures Study Volume One

Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...

Hand. . et al National Renewable Energy Laboratory

Jan 19, 2016
3 Resources
0 Stars
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Pilgrim Hot Springs Building Dimensions and Energy Modeling

This dataset was created to model the anticipated heating load of a geothermal project in development for the historical site of Pilgrim Hot Springs, and adds to the history of geothermal studies at the site. Models include an historical building (Nun's Quarters), existing modern ...

Garber-Slaght, R. and Coakley, M. National Renewable Energy Laboratory (NREL)

Feb 28, 2024
2 Resources
0 Stars
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National Renewable Energy Laboratory/Habitat for Humanity Zero Energy Home: A Cold Climate Case Study for Affordable Zero Energy Homes

The design of this 1,280-square-foot, three-bedroom Habitat for Humanity of Metro Denver zero energy home carefully combines envelope efficiency, efficient equipment, appliances and lighting, and passive and active solar features to reach the zero energy goal. The home was designe...

Norton, P. et al National Renewable Energy Laboratory

Jul 21, 2016
4 Resources
0 Stars
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Distributed Generation Market Demand (dGen) model

The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...

Stanley, T. et al National Renewable Energy Laboratory (NREL)

Oct 16, 2020
4 Resources
1 Stars
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